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Claude Switch Models Setup

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daymade
claude-switch-models-setup

Set up and maintain multiple isolated Claude Code CLI profiles so students and power users can run different LLM providers (Kimi K3, Kimi K2.7 highspeed, MiniMax M3, MiniMax M2.7, GLM, DeepSeek, StepFun, Anthropic) in separate terminal windows at the same time. Use this skill whenever the user asks about multi-provider Claude setup, multiple Claude Code windows, switching models or the csk/csd/csg aliases, CLAUDE_CONFIG_DIR, the ~/.claude-profiles directory, or running Kimi/MiniMax/GLM/DeepSeek/StepFun alongside Anthropic. It also owns profile-drift troubleshooting — a third-party profile missing skills/hooks/plugins the default profile has, claude-profiles-doctor reporting a real directory where a symlink belongs, or settings not converging — and per-provider context-window configuration (the [1m] marker or explicit CLAUDE_CODE_MAX_CONTEXT_TOKENS).

Overview

Publisherdaymade
Repositoryclaude-code-skills
Skill nameclaude-switch-models-setup
Stars
1.4K
Forks
219
Bundled files
34
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 34 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by daymade on GitHub. Read the source before you install it.

Installation

Install the Claude Switch Models Setup AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/daymade/claude-code-skills.git /tmp/claude-code-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-skills/daymade-claude-code/claude-switch-models-setup .claude/skills/claude-switch-models-setup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Claude Switch Models Setup in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Claude Switch Models Setup on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Claude Switch Models Setup is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Claude Code Profiles and Local Skill Activation

Overview

This skill creates an isolated-but-shared profile system for Claude Code CLI. Each profile gets its own .claude.json state file (credentials and session history) while sharing skills, projects, hook scripts, agents, and installed plugin state across all profiles — and converging each profile's settings.json (hook registration, marketplaces, env feature flags, permissions, preferences) plus the behavior slice of its .claude.json (e.g. workflowSizeGuideline) from the default profile, so the only intended difference between profiles is the model/provider.

The result: you can open one terminal with Kimi, another with DeepSeek, another with Anthropic — each running as a fully independent Claude Code process, without configuration bleed.

How It Works

  • CLAUDE_CONFIG_DIR tells Claude Code CLI which directory to use as its config root.
  • Each profile lives in ~/.claude-profiles/<name>/ with an isolated .claude.json.
  • Content directories (skills/, projects/, hooks/, agents/, settings/) are symlinked back to the main ~/.claude/ directory so you only maintain one copy. Note this shares hook scripts, not hook registration — registration lives in each profile's own settings.json (next bullet).
  • Config layer — settings.json: each profile has its own settings.json (Claude Code treats it as config-dir-local), so everything stored there — hook registration, extraKnownMarketplaces, enabledPlugins, env feature flags, permissions, behavior preferences — silently drifts the moment it changes in the default profile (measured 2026-07-18: 9/9 real profiles had zero hook registrations). sync-profile-settings.py is the converger: registered as a SessionStart hook, it copies every key from the default profile's settings.json into the active profile's, except identity keys (top-level model and advisorModel — the latter is Anthropic-model routing a third-party endpoint can't serve; and env vars that carry provider routing or Anthropic-native isolation — ANTHROPIC_*, CLAUDE_CODE_SUBAGENT_MODEL, ENABLE_TOOL_SEARCH, DISABLE_GROWTHBOOK/TELEMETRY/AUTOUPDATER — which the provider settings file deliberately sets differently). Profile-only top-level keys are preserved; nested collections inside a key main also has (e.g. permissions.allow, enabledPlugins) converge wholesale to main's value, and any profile-only nested entries dropped that way are listed (count on write, detail under --check) so the loss is visible rather than silent. This is what makes "everything except the model works in every profile" actually hold.
  • State layer — .claude.json behavior keys: settings.json is not the only per-profile config file. Claude Code also keeps a per-profile state file (the main profile's is ~/.claude.json; each third-party profile's is <profile>/.claude.json — asymmetric paths, verified on disk), and a few behavior settings live only there (workflowSizeGuideline, notification/UI preferences). On 2026-08-17 workflowSizeGuideline: small existed only on the main profile and 10/11 third-party profiles had no copy — a Kimi session fanned one Dynamic Workflow out to 30+ agents with no size guidance in its system prompt. The same converger therefore also syncs an allowlist of behavior keys into each profile's .claude.json. The safety mechanism is a three-way classifier in the script, not a hand-maintained key list: allowlisted behavior keys sync; state/cache/counter/migration/credential keys (matched by name patterns) are never touched; anything unknown-and-different is reported — one line per drifted key per run, until a human classifies it (the tripwire that surfaces the next behavior key the day it appears). Writes are backup + atomic-replace; measured safe against a live harness rewriting the file (a marker key survived 30+ minutes of an active session). Applies next session — the harness reads this file at startup.
  • Exception — plugins/: marketplace content and install state are shared, but each profile keeps its own known_marketplaces.json. Claude validates a marketplace's installLocation with path.resolve() (which does NOT resolve symlinks), so a single shared file would make every non-writing profile report "corrupted installLocation". claude-plugins-sync.py builds and maintains this per-profile structure.
  • claude-plugins-sync.py also mirrors enabledPlugins from the default ~/.claude/settings.json into each profile's settings.json (sharing cache files is not enough; Claude Code treats "enabled" state as config-dir-local). It runs at profile launch and reactively — the LaunchAgent in the next bullet re-runs it on every write to the default profile's settings.json, so claude plugin enable/disable --scope user typically propagates to every profile within seconds without a relaunch (verified 2026-08-22). The mirror adopts first: enabledPlugins keys that exist only in some profile's settings.json (the way claude plugin install writes them) are written back into the default profile before mirroring — consistent values only; cross-profile conflicts stay per-profile behind a standing warning instead of being silently overwritten (added 2026-09-03, after adopt-less mirroring was confirmed as the mechanical root cause of recurring skill-visibility losses). The SessionStart converger above covers the same key as part of its whole-settings sync; claude-plugins-sync.py remains the owner of the per-profile known_marketplaces.json structure. skill-install-audit.py reconciles the registry / installed / enabled / Codex-manifest / ~/.agents/skills layers read-only, plus the daemon's pinned runtime version and whether the checkouts it judged everything against are themselves behind. prune-source-sync-backups.py removes only the .source-sync-backups/ buckets git can reproduce; a bucket holding even one blob no repository has is reported and left alone.
  • Local source sync keeps approved source-backed routes aligned for each host. Before selecting or repairing entries, read the host-specific activation contract. It owns the manifest fields, marketplace expansion, Claude plugin/direct-link distinction, unresolved-name handling, collision safety, and legacy compatibility. Source registration alone does not choose activation policy; do not hand-create links or repurpose the manifest to manage third-party inventory.
  • Sync scripts use a shared cross-process lock. This is required because users often open several provider windows from tmux or multiple terminals at once; concurrent launches must serialize marketplace/cache rewrites while still allowing all profiles to start.
  • For the full local-source architecture, read references/local-source-sync-architecture.md before changing these scripts.
  • Provider routing is done via ~/.claude/settings/<name>.json, which sets ANTHROPIC_MODEL, ANTHROPIC_BASE_URL, and ANTHROPIC_AUTH_TOKEN for that window. That file is a full settings file rather than an env file, and it is the one layer the converger never touchesclaude-profile launches with claude --settings ~/.claude/settings/<name>.json, while the converger only ever writes <profile>/settings.json. So anything that has to be per-profile and has to survive every session start belongs here; put it in the profile's own settings.json and the next convergence takes it back. Measured 2026-09-15 on permissions.deny: one claude -p run listed 50 tools with an empty --settings file and 48 with {"permissions":{"deny":["WebSearch","WebFetch"]}}, the two named tools being the difference. The cost of not knowing this is a detour: the session that worked it out had already forked the converger to add a per-profile exception before noticing that one key in the provider file did the same job with no code change.
  • Credentials ride in that same file, so anything scripting a profile has to pass --settings as well. CLAUDE_CONFIG_DIR=<profile> claude -p ... on its own answers Not logged in · Please run /login, because the token lives in the provider file and nothing else loads it. The message names login; the cause is the missing flag.
  • The converger's SessionStart mode is also its single-profile mode: run it with no arguments and CLAUDE_CONFIG_DIR pointing at one profile to converge only that profile. --all walks every profile, and a no-argument run whose CLAUDE_CONFIG_DIR is the default profile is a no-op by design, since that profile is the source.

One-Click Setup Workflow

When the user says something like "set up Claude Code profiles" or "I want to use Kimi and DeepSeek in different windows":

  1. Check prerequisites

    • claude CLI is installed: which claude
    • Shell is zsh or bash: detect via $SHELL
    • python3 is available
  2. Install the profile manager scripts — symlink them, do not copy

    On a machine that has this repo checked out (the maintainer case), run the bundled installer:

    bash
    <absolute-path-to-this-repo>/daymade-claude-code/claude-switch-models-setup/scripts/setup.sh

    scripts/setup.sh is the single source for the exact deployment set. It links each helper into ~/.config/claude-switch-models-setup/ and seeds the activation manifest only when it does not already exist. Do not maintain another helper list here. No chmod step is needed: the deployment is by symlink, and the source files retain their committed modes.

    Why symlinks and not cp: ~/.config/… is what actually runs — the LaunchAgent and claude-profile invoke scripts by that path — while this repo holds their source. Copies drift, and nothing about a deployed copy looks different from its source, so "am I editing the SSOT?" is not a judgement anyone reliably makes. Measured on one machine before the switch: a lock-placement fix sat in the repo for 26 days while the deployed copy kept running the bug it fixed, and two cleanup routines written straight into the deployed copy never reached version control at all — drift in both directions, silently. A link removes both, for as long as it stays a link — an atomic-save editor, an rsync or a stray cp turns one back into a real file without saying so, which is why this is worth re-checking rather than declaring solved. It also lets sync-local-skill-sources.py locate its own source repo by resolving its own path, instead of falling back to guessing.

    Worth re-checking how? Any periodic check works; there is none bundled with this skill. One line, run wherever you keep such things:

    bash
    for f in ~/.config/claude-switch-models-setup/*.py ~/.config/claude-switch-models-setup/*.sh; do
      [ -L "$f" ] && [ -e "$f" ] || echo "not a live link: $f"
    done

    If one has become a real file, move it aside before re-linking — it may hold edits that exist nowhere else, which is the whole problem being described: mv "$f" "$f.local-edits" && ln -sf <source> "$f", then diff.

    On a machine without the repo, copy the scripts listed by the installer out of this skill bundle instead — and accept that repo fixes will not reach it until you copy again.

    On a machine whose LaunchAgent runs the pinned plugin copy (the maintainer layout described in local-source-sync-architecture.md), these same links point at that copy's version directory under .../plugins/cache/..., not at the checkout, and move only when the pin is advanced (troubleshooting.md, "advance the pin"). The installer refuses to relink such a machine to the checkout (CSMS_SETUP_RELINK_TO_CHECKOUT=1 overrides), because the daemon and claude-profile would then follow whatever branch the checkout sits on. The live-link check above applies to both layouts.

  3. Add shell integration

    • Source the profile manager in ~/.zshrc or ~/.bashrc
    • Add aliases: csk, csks, csd, csg, css
    • Add any further per-account/per-plan variant alias by hand if needed — claude-profiles.sh only defines the aliases listed above
    • Tell the user to run source ~/.zshrc (or open a new terminal)
  4. Generate provider settings files

    • For each provider the user wants, create ~/.claude/settings/<provider>.json
    • Use the templates in assets/templates/ as a starting point
    • Prompt the user for their API key and base URL; never hardcode defaults
    • Set the context window correctly for this specific provider — [1m] suffix vs explicit CLAUDE_CODE_MAX_CONTEXT_TOKENS/CLAUDE_CODE_AUTO_COMPACT_WINDOW, see "Configuring Context Window Size" below. Do this explicitly for every new profile rather than copying whatever the nearest template happens to already have — the nearest template not needing it is not evidence that this one doesn't either.
    • Include the required isolation flags:
      • CLAUDE_CODE_SUBAGENT_MODEL (same as ANTHROPIC_MODEL)
      • ENABLE_TOOL_SEARCH: "false"
      • DISABLE_GROWTHBOOK: "1"
      • DISABLE_TELEMETRY: "1"
      • DISABLE_AUTOUPDATER: "1"
  5. Initialize profile directories

    • Run claude-profiles-init
    • This creates ~/.claude-profiles/<provider>/ with isolated .claude.json and symlinks
    • On maintainer machines, this also repairs local source symlinks before syncing plugin metadata

    Statusline wiring: claude-profiles-init auto-detects a statusline script from ~/.claude/settings.json or ~/.claude/statusline.sh and injects it into each new profile. If neither is present, profiles will work but without a status bar. It is the AI's job to decide whether the user needs a statusline, install the statusline-generator skill if appropriate, and run its installer — not the profile setup script. Do not hardcode dependency installs into shell scripts.

  6. Register the settings converger

    • Add the converger as a SessionStart hook in the default profile's ~/.claude/settings.json hooks.SessionStart list, using an absolute direct-Python command such as '/absolute/path/to/python3' '/absolute/path/to/sync-profile-settings.py'. Do not register the .py file by shebang or through a package manager: this hook exists to repair every profile and must not wait on a shared environment/cache lock. It no-ops when the active profile IS the default; its job there is to propagate into every profile's own hooks key on the first sync.
    • Run the initial alignment: python3 ~/.config/claude-switch-models-setup/sync-profile-settings.py --all
    • From then on every profile converges its settings.json and the behavior slice of its .claude.json from the default profile at each session start (changes apply next session). Audit without writing: --check --all
  7. Verify isolation

    • Run claude-profiles-doctor
    • Confirm each profile directory has .claude.json and valid symlinks
  8. Select local source Skills for Codex and Claude

    • Skip this for normal students or users who do not edit the skill source repos
    • Read the host-specific activation contract, then edit the machine's activation manifest for the requested hosts. Use its compatibility rules only for consumers that still retain a legacy path.
    • Preview with python3 ~/.config/claude-switch-models-setup/sync-local-skill-sources.py, read every affected path, then apply with python3 ~/.config/claude-switch-models-setup/sync-local-skill-sources.py --apply.
    • On a maintainer macOS machine, run ~/.config/claude-switch-models-setup/sync-local-skill-sources-daemon.sh --install
    • This watches the activation manifest, default Claude install state, and local marketplace manifests, then repairs derived state after selection, install/uninstall, or plugin topology changes
  9. Show the user how to launch

    • csk → Kimi K3 window
    • csks → Kimi K2.7 highspeed window
    • csd → DeepSeek window
    • csg → GLM window
    • css → StepFun window
    • claude (no alias) → default Anthropic profile
    • Optional: hand-add a per-account/per-plan variant alias yourself, e.g. alias cssp='claude-profile step-pay --dangerously-skip-permissions'claude-profiles.sh does not generate this; it is a manual pattern on top

Commands

After setup, the user can run:

bash
claude-profiles-init          # Re-scan settings/*.json, create missing profiles;
                               # reports symlink drift (real dirs that should be symlinks).
                               # Add --repair to archive drift and replace with symlinks.
claude-profile <name>         # Launch a specific profile
claude-profiles-ls            # List profiles
claude-profiles-doctor        # Check symlink health
claude-profile-rm <name>      # Remove a profile's isolation directory
python3 ~/.config/claude-switch-models-setup/claude-plugins-sync.py
                               # Repair per-profile plugin structure and enabledPlugins
python3 ~/.config/claude-switch-models-setup/sync-profile-settings.py --all
                               # Converge every profile from the default profile:
                               # settings.json (hooks, marketplaces, env flags,
                               # permissions, preferences) + .claude.json behavior
                               # keys (workflowSizeGuideline etc.); --check --all
                               # audits without writing
python3 ~/.config/claude-switch-models-setup/sync-local-skill-sources.py
                               # Maintainers: preview host selections and affected paths
python3 ~/.config/claude-switch-models-setup/sync-local-skill-sources.py --apply
                               # Apply the inspected Codex, Claude, and explicit
                               # legacy compatibility changes
~/.config/claude-switch-models-setup/sync-local-skill-sources-daemon.sh --install
                               # Maintainers: install automatic macOS watcher

These are not day-to-day commands. Normal source edits are live through symlinks. The one-shot commands are for repair, bootstrap, or non-macOS environments without the LaunchAgent watcher.

Provider Templates

Use the provider templates in assets/templates/. Read the chosen file for its model, endpoint, context settings, and thinking behavior; do not infer those values from a hand-maintained template summary.

Every template uses the <API_KEY> placeholder. Templates for configurable gateways also use <BASE_URL>; the MiniMax templates pin the documented regional endpoint. Ask the user for every real placeholder value; do not guess or reuse values from the current machine unless the user explicitly provides them.

MiniMax model behavior

TemplatesModelContext configurationThinking behavior
minimax.json, minimax-cn.jsonMiniMax-M3Append [1m] to every routed model value and set CLAUDE_CODE_AUTO_COMPACT_WINDOW to 1000000.Supports adaptive or disabled thinking. Keep ANTHROPIC_REASONING_MODEL on the same model.
minimax-m2-7.json, minimax-m2-7-cn.jsonMiniMax-M2.7Set CLAUDE_CODE_MAX_CONTEXT_TOKENS and CLAUDE_CODE_AUTO_COMPACT_WINDOW to 204800; do not append [1m].Thinking is always on; do not claim a template-level disable path.

Configuring Context Window Size

Every provider template sets the model's context window one of two ways — get this wrong and Claude Code doesn't know how much context the model can actually hold. Undershoot and it compacts (summarizes, drops old detail) far earlier than the provider actually requires; overshoot and it won't compact until the real limit is already blown past.

The full client-side mechanism of the [1m] marker — what it strips off the model field, what it adds to the anthropic-beta header, and why a missing [1m] does not mean the provider can't hold a big prompt — is documented in references/context-window-config.md. Reach for it when a context number looks wrong, not at template-writing time.

Decision rule

When writing a new provider's settings/<name>.json, pick based on the provider's real, verified context window — not the model's marketing name, and not by copying whatever the nearest template happens to do:

Provider's real context windowWhat to setExample template
~1M tokens, explicitly confirmed (not assumed from the model's tier/name)[1m] suffix on every ANTHROPIC_MODEL / ANTHROPIC_DEFAULT_*_MODEL / CLAUDE_CODE_SUBAGENT_MODEL value. Must be the exact 4 characters [1m] — Claude Code matches this literal string, not a made-up marker like [1million] or [max].kimi.json
A known, smaller size (e.g. 200K)Explicit CLAUDE_CODE_MAX_CONTEXT_TOKENS and/or CLAUDE_CODE_AUTO_COMPACT_WINDOW set to the real number — no [1m].kimi-highspeed.json (200000)
Unknown / not yet verifiedDon't guess, and don't copy another provider's number just because a template needs something there. Ask the user to check the provider's own docs/console first. An unverified [1m] or an unverified large CLAUDE_CODE_AUTO_COMPACT_WINDOW just moves the failure from "compacts too early" to "doesn't compact until well past the real limit" — worse, because it's silent until a request actually fails.

deepseek.json and glm.json set both [1m] and an explicit CLAUDE_CODE_AUTO_COMPACT_WINDOW: "1000000". That's belt-and-suspenders, not redundant filler to strip out — the exact precedence between the marker and the explicit override hasn't been independently reverse-engineered, so if you're copying one of those two templates, keep both rather than dropping one.

The MiniMax-M3 templates use the same 1M marker plus an explicit 1000000 auto-compact value. The MiniMax-M2.7 templates use explicit 204800 limits with no marker.

The full step-2-16k template-correctness war-story (why an internally-consistent-looking context value is not the same as a currently-correct one — cross-check the model name against the provider's live docs, not just the numbers around it), plus a reusable recipe to verify whether any env var actually changes the bytes sent over the wire (a local http.server capture, since --debug api only shows internal state), live in references/context-window-config.md.

Common base URLs (verify with your provider)

ProviderTypical base URL
Kimihttps://api.moonshot.cn or OpenRouter-compatible endpoint
GLMhttps://open.bigmodel.cn/api/paas/v4 or OpenRouter-compatible endpoint
DeepSeekhttps://api.deepseek.com or OpenRouter-compatible endpoint
StepFunhttps://api.stepfun.com or OpenRouter-compatible endpoint
MiniMaxGlobal: https://api.minimax.io/anthropic; China: https://api.minimaxi.com/anthropic
Anthropichttps://api.anthropic.com

Important: The exact endpoint depends on whether the user is calling the provider directly or through a compatibility gateway (e.g., OpenRouter). Always ask.

Shared vs. Isolated

DataLocationShared?
Session history~/.claude-profiles/<name>/.claude.jsonIsolated per profile
Auth tokens/cache~/.claude-profiles/<name>/.claude.jsonIsolated per profile
Skills~/.claude/skills/Shared via symlink
Plugin content~/.claude/plugins/marketplaces, cache, data, ...Shared via symlink
Plugin install registry~/.claude/plugins/installed_plugins.jsonShared via symlink
Enabled plugin map~/.claude/settings.json -> <profile>/settings.jsonConverged by sync-profile-settings.py (also mirrored by claude-plugins-sync.py)
Plugin marketplace index<profile>/plugins/known_marketplaces.jsonPer-profile (installLocation is config-dir-specific; can't be shared)
Projects/memory~/.claude/projects/, ~/.claude/memory/Shared via symlink
Hook scripts~/.claude/hooks/, ~/.claude/commands/Shared via symlink (scripts only — NOT registration)
settings.json config: hook registration, marketplaces, env flags, permissions, preferences<profile>/settings.jsonConverged from default profile by sync-profile-settings.py at session start (identity keys like model and provider-routing/isolation env vars are never synced)
.claude.json behavior keys (workflowSizeGuideline, notification/UI preferences)~/.claude.json<profile>/.claude.jsonBehavior allowlist converged by the same script; state/cache/counter/migration/credential keys (incl. projects, oauthAccount, userID) are never synced; unknown drifted keys are reported for human classification
Provider settings~/.claude/settings/<name>.jsonShared source, loaded per profile

Troubleshooting

A profile directory exists but claude-profiles-doctor reports it as an "orphan profile"

Symptom: claude-profiles-doctor reports WARN: orphan profile — no settings/<name>.json; claude-profile <name> fails. Run: claude-profile-rm <name>.

Cause: the profile isolation directory exists under ~/.claude-profiles/ but the corresponding ~/.claude/settings/<name>.json provider config file is missing. claude-profiles-init only scans settings/*.json, so an orphan profile's symlinks are never created or maintained, and claude-profile <name> will fail to launch with "Error: Settings file not found." The profile directory may still contain useful per-profile data (history.jsonl, .claude.json with provider credentials, settings.json, skill workspaces).

Fix:

  • If the profile is no longer needed: claude-profile-rm <name> — this safely removes the isolation directory (it checks for unexpected files first).
  • If you want to revive it: recreate the settings file at ~/.claude/settings/<name>.json (use a provider template from assets/templates/), then run claude-profiles-init.

A shared directory (skills/projects/hooks/agents/...) shows as a real directory, not a symlink

Symptom: claude-profiles-doctor reports <name> is a real directory (expected symlink to ~/.claude/<name>) — drift; run: claude-profiles-init --repair.

Cause: the profile was created before the symlink-convergence design landed (or was hand-created), so a shared content directory ended up as a real per-profile directory instead of a symlink. That profile's copy now silently diverges from the main ~/.claude/ copy — its skills/projects/hooks/agents are not the same as every other profile's. The broken-symlink check cannot see this (a real directory is not a broken link); on a real machine this drift went undetected for months until the dedicated real-directory check was added (2026-07-21: legacy profiles created before this check existed carried real projects/ dirs for months, undetected).

Fix (reversible — data is archived, never deleted):

bash
claude-profiles-init --repair

For each drifted directory this archives the real dir to <name>.pre-symlink-bak-<timestamp> inside the profile directory, then creates the symlink that should have been there. Run claude-profiles-doctor again to confirm a clean bill. If an archive turns out to hold data you need, it is sitting right there — nothing was destroyed.

Note on what gets shared: after repair, that directory points at the main ~/.claude/<name> copy, so the profile sees the same skills/projects/etc. as the default profile — which is the entire point of the shared-symlink design. The per-profile state that must stay isolated (.claude.json, settings.json identity keys like model/provider env, plugins/known_marketplaces.json) is never one of these symlinked dirs, so repair never touches it. Inspect the archive before discarding it if the profile held session/history data you care about — those would now resolve to the shared copy.

Marketplace says "corrupted installLocation"

Symptom: /plugin or claude plugin marketplace update reports corrupted installLocation ... expected a path inside <config-dir>/plugins/marketplaces.

Cause: known_marketplaces.json ended up shared across profiles (or hand-edited). Its installLocation is config-dir-specific because Claude validates with path.resolve() (symlinks NOT resolved), so one shared copy cannot satisfy multiple profiles.

Fix: claude-plugins-sync.py rebuilds each profile's own copy + the shared-content symlinks. It runs automatically at claude-profile init/launch; to run manually:

bash
python3 ~/.config/claude-switch-models-setup/claude-plugins-sync.py

Skill exists in default Claude but is missing in Kimi/GLM/DeepSeek

Symptom: the default Anthropic profile can see a skill, but a third-party profile cannot.

Cause: Claude Code stores enabledPlugins in each config directory's settings.json. Sharing plugins/cache only makes files available; it does not enable them.

Fix:

bash
python3 ~/.config/claude-switch-models-setup/claude-plugins-sync.py

Then restart the affected Claude Code window.

Local source edits do not show up in Claude Code or Codex

Read the source-change and pin-update procedure. It distinguishes source-backed routes from pinned runtime copies and inventory reports from successful synchronization and fresh-host discovery.

Source sync also manages derived cache artifacts:

  • Version-alias symlinks. Each cache link is named after the marketplace's current version, so every version bump left the previous link behind pointing at the very same source directory. The pass now removes sibling links that resolve to the same source; real directories are never touched, since Claude Code installs those and a live session may still hold them through .in_use.
  • installed_plugins.json backups. Each run that changes the JSON writes a backup. The KEEP_JSON_BACKUPS constant in the script caps the retained set; the names end in a YYYYMMDD-HHMMSS stamp, so lexical order is chronological.

Both are visible in a dry run before --apply touches anything.

A profile is missing hooks, marketplaces, env flags, or other default-profile settings

Symptom: the default profile has hook guards, marketplaces, or feature flags configured, but a third-party profile behaves as if they don't exist (no PreToolUse guards fire, claude plugin marketplace list is empty, a feature enabled in the default profile is off).

Sibling symptom, different layer (2026-08-17): a behavior preference set on the default profile — e.g. the workflow size guideline — has no effect in third-party profiles (a Kimi session fanned a Dynamic Workflow out to 30+ agents despite small being set on main). That key lives in the per-profile .claude.json, which symlinks and the settings.json sync both miss. See "Default-profile behavior settings don't reach third-party profiles" in references/troubleshooting.md.

Cause: those live in each profile's own settings.json, which is config-dir-local — symlinking directories does not cover the config layer, and it drifts silently the moment the default profile changes.

Fix:

bash
python3 ~/.config/claude-switch-models-setup/sync-profile-settings.py --all

Then restart the affected window. Once the converger is registered as a SessionStart hook (setup step 6), every profile self-converges at session start, so this should only be needed after a manual settings edit you want propagated immediately.

Third-party profile tries to use Anthropic-specific features

Symptom: WebSearch or other Anthropic-native tools fail with 400 errors. Fix: Ensure the profile's settings.json sets:

json
{
  "env": {
    "ENABLE_TOOL_SEARCH": "false",
    "DISABLE_GROWTHBOOK": "1",
    "DISABLE_TELEMETRY": "1",
    "DISABLE_AUTOUPDATER": "1"
  }
}

Subagent calls fall back to a different model

Symptom: Subagents inside a Kimi window call claude-opus-4-7. Fix: Set CLAUDE_CODE_SUBAGENT_MODEL to the same value as ANTHROPIC_MODEL in the profile's settings.json.

A huge-context provider compacts/summarizes way too early, or the statusline context number looks wrong

Symptom: a provider whose own docs claim ~1M tokens of context gets auto-compacted by Claude Code well below that — long sessions get summarized when there's clearly no real need to yet, or the context percentage in the statusline tracks like it's looking at a ~200K model instead of the real ceiling.

Cause: the profile's ANTHROPIC_MODEL (and its ANTHROPIC_DEFAULT_*_MODEL / CLAUDE_CODE_SUBAGENT_MODEL siblings) is missing the [1m] marker. Claude Code has no other way to learn the provider's real context size — the request itself succeeding with a huge prompt doesn't tell Claude Code anything, since that's a property of the upstream provider, not of the client. See references/context-window-config.md for the full mechanism.

Fix: add the literal [1m] suffix to ANTHROPIC_MODEL, every ANTHROPIC_DEFAULT_*_MODEL, and CLAUDE_CODE_SUBAGENT_MODEL in the profile's settings.json (match kimi.json's pattern). Restart the affected window.

Adding a New Provider Later

  1. Create ~/.claude/settings/<new-provider>.json using a template.
  2. Check the provider's real, verified context window and configure it — [1m] marker or explicit CLAUDE_CODE_MAX_CONTEXT_TOKENS/CLAUDE_CODE_AUTO_COMPACT_WINDOW, see "Configuring Context Window Size" below and references/context-window-config.md. Don't skip this because the template you copied from happened not to need it.
  3. Run claude-profiles-init.
  4. Add an alias to the shell rc file if desired.

Security Notes

  • API keys are written to ~/.claude/settings/<provider>.json in plain text, the same way Claude Code stores ANTHROPIC_AUTH_TOKEN. This matches Claude Code's own security model.
  • This skill never uploads keys or settings anywhere.
  • For public distribution, the bundled scripts contain no hardcoded secrets, endpoints, or user-specific paths.

Next Step

After setup, the user can immediately test by opening two terminals and running csk (Kimi K3) in one and csd in the other. Each window is independent.

When the person being set up is a workshop attendee doing it on their own machine rather than someone you are driving, hand them references/student-setup-guide.md instead of walking them through this file — it is written for them, front to back, without the maintenance and troubleshooting material they do not need yet.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Claude Switch Models Setup AI skill do?

Set up and maintain multiple isolated Claude Code CLI profiles so students and power users can run different LLM providers (Kimi K3, Kimi K2.7 highspeed, MiniMax M3, MiniMax M2.7, GLM, DeepSeek, StepFun, Anthropic) in separate terminal windows at the same time. Use this skill whenever the user asks about multi-provider Claude setup, multiple Claude Code windows, switching models or the csk/csd/csg aliases, CLAUDE_CONFIG_DIR, the ~/.claude-profiles directory, or running Kimi/MiniMax/GLM/DeepSeek/StepFun alongside Anthropic. It also owns profile-drift troubleshooting — a third-party profile m...

Why use Claude Switch Models Setup on TypingMind?

Because you install it once and use it with any model. Claude Switch Models Setup is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Claude Switch Models Setup in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/daymade/claude-code-skills/tree/main/daymade-claude-code/claude-switch-models-setup. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Claude Switch Models Setup?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Claude Switch Models Setup?

As many as you like. As long as a model supports skills, you can use Claude Switch Models Setup with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Claude Switch Models Setup AI skill free?

Yes. It is published on GitHub by daymade under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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