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Kimi First

Community
boringmarketer
kimi-first

Route implementation work-orders to Kimi k3 lanes via the Kimi Code CLI; Claude specs, orchestrates, reviews, verifies. Use when a task is a frozen-spec build, mechanical migration, test fill, bulk sweep, or CI fix — anything that reads as a work order rather than a design problem.

Overview

Publisherboringmarketer
Repositorykimi-first
Skill namekimi-first
Stars
51
Forks
2
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Kimi First 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.
    https://github.com/boringmarketer/kimi-first/tree/main/skills/kimi-first
  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/boringmarketer/kimi-first.git /tmp/kimi-first
mkdir -p .claude/skills
cp -r /tmp/kimi-first/skills/kimi-first .claude/skills/kimi-first
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kimi First 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 Kimi First 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 Kimi First 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.

Kimi First

Claude Code sessions only. Rationale: Kimi k3 lanes run flat-rate on the Kimi membership and are strong at implementation throughput; Claude's edge is judgment, specs, orchestration, review. Kimi types, Claude thinks and verifies. (Adapted from codex-first in steipete/agent-scripts.)

Route

Delegate to Kimi (default for hands-on volume):

  • implementation from a frozen spec; refactors; mechanical migrations/sweeps
  • bug fixes with a known repro; test writing; coverage fills
  • CI fixes, dependency bumps, scripts/tooling
  • bulk exploration where raw reading ≫ the answer

Keep in Claude (never delegate):

  • design, architecture, naming, product judgment — tasks where writing the spec IS the work
  • tiny edits (<~20 lines, single obvious change) — delegation overhead loses
  • anything needing session tools: MCP servers, browser, analytics, memory
  • prod operations, always: prod DB (psql), Railway env/deploys, Stripe, DNS, customer emails, anything reading .env/secrets. Kimi never touches prod credentials or runs with them in reach.
  • destructive/irreversible ops, releases, pushes, merges — Claude-side per repo protocol
  • review of Kimi output — never delegated, never skipped

Heuristic: prompt reads as a work order → delegate; writing it forces decisions → design, keep it. Mixed task: Claude designs, freezes spec, delegates build-out.

Model routing

  • Default: omit -m, uses default_model from ~/.kimi-code/config.toml (currently kimi-code/k3)
  • Latency-sensitive orders: -m kimi-code/kimi-for-coding-highspeed
  • Escalate on failure, never on importance.

Invoke

Prompt via temp file in the scratchpad, never inline quoting. kimi has no -C/-o flags — cd into the repo and redirect stdout yourself:

bash
P=$(mktemp "$SCRATCHPAD/kimi-XXXXXX"); cat >"$P" <<'EOF'
<goal · repo + key paths · constraints ("don't touch X") · non-goals ·
 proof expected (exact test command) · output shape ("report files changed + test output")>
EOF
(cd <repo> && kimi -p "$(cat "$P")" > "$SCRATCHPAD/kimi-last.md" 2>/dev/null)
  • -p is headless: no approvals asked, tool calls run under auto permission; static deny rules still apply. --yolo/--auto cannot combine with -p — and aren't needed.
  • stdout is assistant text with a • transcript prefix (strip if parsing); thinking and tool progress go to stderr — keep 2>/dev/null, drop only to debug a failing run
  • run long jobs with Bash run_in_background; read the output file on completion
  • only delegate from repos without prod secrets in reach — headless mode auto-approves regular tool calls, there is no more-restricted non-interactive tier
  • follow-ups: (cd <repo> && kimi --continue -p "$(cat "$P2")" > "$SCRATCHPAD/kimi-last.md" 2>/dev/null) — resumes the latest session in that dir, keeps context (verified: remembers prior run)
  • parallel independent orders OK: separate repos/dirs, separate output files. --continue is cwd-filtered, so never run two concurrent sessions in the same dir — they'd race on the same "latest session"

Prompt contract

Kimi starts with ZERO session context. Every prompt: goal, exact repo/paths, constraints, non-goals, proof expected, output shape. Spec quality decides success.

Verify (Claude, always)

  • git status -sb + read the FULL diff; judge like a hostile contributor-PR review
  • run the focused tests yourself or demand proof output; Kimi claims are advisory
  • iterate via --continue; after 2 failed rounds, take over and do it directly
  • ship through normal repo protocol (commit/create-pr skills, CI watch) — Claude's hands on the merge button, never Kimi's
  • substantive results feed a cross-vendor adversarial review (Claude attacks Kimi-built work) before merge

Frequently asked questions

What does the Kimi First AI skill do?

Route implementation work-orders to Kimi k3 lanes via the Kimi Code CLI; Claude specs, orchestrates, reviews, verifies. Use when a task is a frozen-spec build, mechanical migration, test fill, bulk sweep, or CI fix — anything that reads as a work order rather than a design problem.

Why use Kimi First on TypingMind?

Because you install it once and use it with any model. Kimi First 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 Kimi First in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/boringmarketer/kimi-first/tree/main/skills/kimi-first. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Kimi First?

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 Kimi First?

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

Is the Kimi First AI skill free?

Yes. It is published on GitHub by boringmarketer 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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