Import Repo Skills To Agent logo

Import Repo Skills To Agent

Organization
VectorSpaceLab
import-repo-skills-to-agent

Export all or selected DisCo-managed repository skills, their regenerated repository-index.jsonl, and a scoped area/family repo-skills-router into Codex, Claude Code, or another agent skills directory. Use when the user asks to copy, install, synchronize, or merge repository skills into another agent or project. Resolve exact skill IDs, obtain explicit approval for replacements, then use the bundled transactional helper for validation, Codex policy injection, deterministic router merging, rollback, and resume.

Overview

PublisherVectorSpaceLab
RepositoryAREX-Skill
Skill nameimport-repo-skills-to-agent
Stars
341
Forks
26
Bundled files
2
LicenseApache-2.0
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Import Repo Skills To Agent 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/VectorSpaceLab/AREX-Skill/tree/main/cli/packages/coding-agent/src/disco/skills/import-repo-skills-to-agent
  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/VectorSpaceLab/AREX-Skill.git /tmp/AREX-Skill
mkdir -p .claude/skills
cp -r /tmp/AREX-Skill/cli/packages/coding-agent/src/disco/skills/import-repo-skills-to-agent .claude/skills/import-repo-skills-to-agent
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Import Repo Skills To Agent 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 Import Repo Skills To Agent 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 Import Repo Skills To Agent 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.

Import Repo Skills To Agent

This is a Creator-mode meta workflow. Export DisCo's managed repository-skill collection to another agent only when the user explicitly requests a cross-agent export. Cross-agent export is an artifact-management operation, not downstream research: the selected repository skills normally carry the operating role, but Creator may inspect them as export inputs without using them as operating context or asking the user to switch to Researcher. DisCo already uses its live collection through repo-skills-router and explicit /skill:<name> invocation; it does not need this workflow for its own runtime.

Use the bundled helper for every filesystem mutation:

text
scripts/export_repo_skills_to_agent.mjs

Do not manually copy skills, concatenate indexes, or merge generated router Markdown.

Collection layout

Treat the source collection root as the directory containing these siblings:

text
<disco-agent-root>/skills/repositories/
├── repo-skills/
│   ├── <skill-id>/
│   └── repository-index.jsonl
└── repo-skills-router/

The default source agent root is $DISCO_CODING_AGENT_DIR when set, otherwise ~/.disco/agent. The target uses the same collection shape below its skills root:

text
<target-skills-root>/repositories/
├── repo-skills/
│   ├── <skill-id>/
│   └── repository-index.jsonl
└── repo-skills-router/

Keep unrelated target skills outside repositories/ unchanged.

Resolve the target

Prefer an unambiguous target argument:

  • Use --target-skills-root <dir> when the path is already a skills root, such as ~/.agents/skills or ~/.claude/skills.
  • Use --target-agent-dir <dir> when the path is an agent root; the helper appends skills/repositories.
  • Use --target <dir> --target-kind skills-root|agent-root for a generic path.
  • Allow --target with automatic inference only when the basename or existing layout makes the meaning unambiguous.

For Codex, default an agent-only request to the current user-level agent root ~/.agents, not the legacy ~/.codex. Pass --target-agent codex. For Claude Code or a generic target, pass --target-agent agent-neutral unless that target explicitly requires Codex policy metadata.

Resolve the selection

The helper accepts exact repository skill IDs. Before invoking it:

  1. Read the source repo-skills/repository-index.jsonl and direct repo-skills/<skill-id>/SKILL.md files as export input artifacts. In Creator, this is an explicit exception to the operating-context visibility boundary: inspect them only to resolve and validate the export, never to invoke their instructions or perform their downstream workflows.
  2. Resolve user terms, repository names, aliases, or wildcards to exact skill_id values.
  3. Show the matched IDs when the request is ambiguous or a wildcard expands to more than the user likely expects.
  4. Omit --include-skill for a full export. Repeat it, or pass comma-separated IDs, for a subset.

Do not select review artifacts, test outputs, environments, sessions, prompts, or directories outside the managed repo-skills/ collection.

Resolve conflicts before mutation

Inspect the target collection before starting the helper. For every selected skill ID already present under target repositories/repo-skills/:

  1. Summarize the source and target paths and the relevant identity difference.
  2. Ask whether to replace that exact target skill.
  3. Pass --overwrite-skill <skill-id> only for approved replacements.
  4. Exclude a declined skill from the selected export and report it as skipped.

Never silently overwrite a repository skill. The helper independently rejects an unapproved conflict and refuses repository-identity collisions.

Run the transaction

For a selected Codex export:

bash
node <this-skill>/scripts/export_repo_skills_to_agent.mjs \
  --source-agent-dir <disco-agent-root> \
  --target-agent-dir ~/.agents \
  --target-agent codex \
  --include-skill <skill-id> \
  --overwrite-skill <approved-skill-id>

For a full agent-neutral export to an exact skills root:

bash
node <this-skill>/scripts/export_repo_skills_to_agent.mjs \
  --source-agent-dir <disco-agent-root> \
  --target-skills-root <target-skills-root> \
  --target-agent agent-neutral

The helper performs one deterministic workflow:

  1. Validate source and existing target paths, symlink safety, skill identity, v2 references/repo-routing-metadata.json, exact taxonomy assignments, and source/target non-overlap.
  2. Generate a filtered source router for the selected skills without modifying the source collection.
  3. Merge selected source records with unrelated target records by canonical skill_id and owner/repository identity.
  4. Stage the final repo-skills/ tree.
  5. For a Codex target, add or update agents/openai.yaml beside every root and descendant SKILL.md in the staged non-router repository skills, setting policy.allow_implicit_invocation: false while preserving unrelated OpenAI metadata. Never add this policy to repo-skills-router.
  6. Regenerate repo-skills/repository-index.jsonl and the sibling router from the final merged records. Do not copy a stale source root index or combine Markdown pages.
  7. Revalidate taxonomy paths, links, repository and assignment indexes, router visibility, selected/unselected boundaries, and Codex policy before touching the live target.
  8. Replace only target repositories/repo-skills/ and repositories/repo-skills-router/ through the persisted transaction.
  9. Validate the installed target and commit, or restore the exact previous target if a post-mutation step fails.

The final root repository-index.jsonl must be byte-for-byte consistent with repo-skills-router/references/index/repositories.jsonl. A subset export must not leak unselected source skills into either index or any generated area or family page. Existing unrelated target repository skills and assignments must remain present.

Index and visibility contract

The long-lived repository indexes intentionally do not store a per-repository skill content_sha256. They preserve repository identity, provenance, routing assignments, and descriptions; their complete-file integrity is protected by the router's build-metadata.json index digests. The import handoff may still contain a one-time skill_content_sha256, which is checked while importing the verified runtime tree and is not copied into either long-lived repository index.

Target-specific agents/openai.yaml files are still excluded from the handoff's portable-tree digest. Do not ignore arbitrary extra files, symlinks, or non-regular entries.

Keep repo-skills-router model-visible for a fresh target. Preserve an existing target router's visibility by default; use --router-visibility enabled|disabled only when the user explicitly asks to change it. Repository skills remain hidden from implicit selection through their portable frontmatter and, for Codex targets, the target-only OpenAI policy.

Recover an interrupted export

The helper prints the persisted transaction directory on failure. Its manifest stores both the selected index fingerprint and a transaction-only snapshot of the selected source skill trees. This keeps interrupted exports safe without reintroducing a per-repository digest into the long-lived indexes. Resume or retry exactly that transaction with:

bash
node <this-skill>/scripts/export_repo_skills_to_agent.mjs \
  --resume <transaction-directory>

Do not manually repair a partial target. The helper restores any mutation phase to the recorded target snapshot, then reuses the persisted source, selection, overwrite approvals, target policy, and router visibility. For a validated pre-mutation transaction, it revalidates the source fingerprint, target snapshot, and staging before committing it. Arguments do not need to be repeated; any explicitly repeated argument must match the manifest or resume stops before mutation.

If rollback cannot restore the exact recorded target snapshot, preserve the reported staging and backup paths and stop for manual inspection.

Safety and handoff

  • Keep the source collection read-only.
  • Reject source/target overlap and paths that traverse symlinks.
  • Do not import a structurally invalid selected skill or infer missing routing metadata.
  • Do not delete unrelated target skills or assignments.
  • Do not add Codex policy to the router.
  • Do not report success until live target validation and transaction commit both complete.

Report the resolved source and target, exact selected IDs, copied and approved replacement counts, final repository and assignment counts, router action, Codex policy mode, and any skipped conflicts. If the target agent caches skill discovery, tell the user to restart or reload it.

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 Import Repo Skills To Agent AI skill do?

Export all or selected DisCo-managed repository skills, their regenerated repository-index.jsonl, and a scoped area/family repo-skills-router into Codex, Claude Code, or another agent skills directory. Use when the user asks to copy, install, synchronize, or merge repository skills into another agent or project. Resolve exact skill IDs, obtain explicit approval for replacements, then use the bundled transactional helper for validation, Codex policy injection, deterministic router merging, rollback, and resume.

Why use Import Repo Skills To Agent on TypingMind?

Because you install it once and use it with any model. Import Repo Skills To Agent 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 Import Repo Skills To Agent in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/VectorSpaceLab/AREX-Skill/tree/main/cli/packages/coding-agent/src/disco/skills/import-repo-skills-to-agent. 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 Import Repo Skills To Agent?

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 Import Repo Skills To Agent?

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

Is the Import Repo Skills To Agent AI skill free?

Yes. It is published on GitHub by VectorSpaceLab under the Apache-2.0 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇