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yujunzhixue/github-skill-forge

Skills indexed from this repository, with install-style signals scoped to the repo.
1 skills234 GitHub stars0 weekly installsPythonGitHubOwner profile

Overview

This skill automates converting any GitHub project into a standardized Trae skill. It scaffolds the skill layout, aggregates project context into a single document, and produces a ready-to-install skill bundle for AI agents to integrate quickly. The tool focuses on repeatable, safe integration of external tools into a skills library.

How this skill works

The skill clones a given GitHub project, extracts the file tree, parses project documentation and dependency files, and generates a compact context bundle for quick agent understanding. It creates a standardized directory layout with source, scripts, references, and a manifest-like skill description, and includes retry and error handling for common failures. Optional helper scripts and context regeneration utilities let you refine the generated outputs.

When to use it

  • When a user supplies a GitHub project URL and asks the agent to 'install' or 'use' it.
  • To quickly integrate open-source tools into a .trae/skills library with consistent structure.
  • When you need a single aggregated context file summarizing files, docs, and dependencies for an AI to read.
  • When onboarding team tools and enforcing naming, dependency, and packaging conventions.
  • For batch importing multiple projects into a standardized skills set.

Best practices

  • Use lowercase, hyphenated skill names of 3–50 characters to avoid conflicts.
  • Run generated validation commands in an isolated environment before enabling in production.
  • List explicit dependency install commands and pinned versions in the skill manifest-like file.
  • Create lightweight wrapper scripts for complex CLI tools to simplify agent usage.
  • Limit context reading to the top 500 lines by default; regenerate context for deeper analysis.

Example use cases

  • Turn a CLI tool into a skill so the agent can run help commands and provide usage examples.
  • Import a data-visualization library, detect dependencies, and add helper scripts for common workflows.
  • Batch install multiple utilities into the skills directory using a shell loop and the forge tool.
  • Generate a context bundle for a large project so the agent can summarize functionality and prerequisites.
  • Create simplified wrappers for tools that require complex build environments or language runtimes.

FAQ

The tool includes retry logic, proxy mode, and clear error messages. Check the URL, network, and authentication; use provided guidance to enable credential helpers or proxy options.

How are dependencies discovered?

It scans common dependency files such as requirements.txt, pyproject.toml, and package.json and lists them in the generated context bundle and manifest-like description.

Can I customize generated templates and limits?

Yes. Environment variables and small parameters let you set default skill name, file limits, and document truncation size. You can also regenerate the context bundle programmatically.

1 skills

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