agentenatalie/skill-bridge

최근 기록된 소스 활동: 2026년 3월 31일 01:02

SkillsMP 카탈로그 업데이트: 2026년 10월 29일 18:30

수집된 skills: 4

GitHub 스타: 0
GitHub 포크: 0

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이 프롬프트를 복사해 사용 중인 AI 어시스턴트에 입력하세요.

Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/agentenatalie/skill-bridge.

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<div align="center"> # SkillBridge [![CI](https://img.shields.io/github/actions/workflow/status/agentenatalie/skill-bridge/ci.yml?branch=main&label=CI)](https://github.com/agentenatalie/skill-bridge/actions/workflows/ci.yml) [![Release](https://img.shields.io/github/actions/workflow/status/agentenatalie/skill-bridge/release.yml?label=Release)](https://github.com/agentenatalie/skill-bridge/actions/workflows/release.yml) [![License](https://img.shields.io/badge/license-MIT-black)](./LICENSE) [![Node](https://img.shields.io/badge/node-%3E%3D20-339933)](https://nodejs.org/) [![中文文档](https://img.shields.io/badge/README-%E4%B8%AD%E6%96%87-1677ff)](./README.zh-CN.md) </div> SkillBridge is a tool for moving skills between agent ecosystems. If you already have a good skill, you should not have to rewrite it from scratch just to use it in another tool. SkillBridge reads the source skill, converts what it can, tells you what does not map cleanly, and writes the target format back out. In plain English: > Take one skill and migrate it to another ecosystem. It stays focused on one job: skill migration. ## Why this exists The same idea now shows up in a lot of different skill formats: - OpenClaw `SKILL.md` - Claude Code skills - Codex skills with optional `agents/openai.yaml` - OpenCode skills - `AGENTS.md` - Cursor rules - Cline rules They all look similar at a glance, but they differ in file layout, frontmatter, tool names, sidecars, and ecosystem-specific rules. Doing that translation by hand is boring. Doing it repeatedly is error-prone. SkillBridge exists to make that step fast and predictable. ## What you get - CLI-first workflow - scored format detection - `analyze`, `convert`, `fix`, `formats`, and `corpus` commands - deterministic parser / converter / analyzer core - optional Codex sidecar preservation and synthesis - bundle output for targets that need companion files - local corpus regression checks - a small web playground that uses the same engine ## Supported formats | Format | Support | Notes | | --- | --- | --- | | `openclaw` | yes | deterministic compatibility profile | | `claude` | yes | Claude Code skill profile | | `codex` | yes | official-style profile with optional `agents/openai.yaml` | | `opencode` | yes | OpenCode skill profile | | `agentsmd` | yes | `AGENTS.md` adapter | | `cursor` | yes | Cursor rules adapter | | `cline` | yes | Cline rules adapter | ## Quick examples Detect a skill format: ```bash node dist/src/cli.js detect examples/codex/figma-sync/SKILL.md ``` Analyze an OpenClaw skill before converting it to Claude Code: ```bash node dist/src/cli.js analyze \ examples/openclaw/SKILL.md \ --from openclaw \ --target claude ``` Convert a Claude skill into OpenCode: ```bash node dist/src/cli.js convert \ examples/claude/git-release/SKILL.md \ --from claude \ --to opencode ``` Convert an OpenCode skill into a Codex bundle: ```bash node dist/src/cli.js convert \ examples/opencode/figma-bridge/SKILL.md \ --from opencode \ --to codex \ --bundle-dir ./out/figma-bridge ``` That writes: - `./out/figma-bridge/SKILL.md` - `./out/figma-bridge/agents/openai.yaml` ## Install Node `20+` is required. ```bash npm install npm run build ``` If you are working from the repo, use: ```bash node dist/src/cli.js <command> ``` If you install the package globally later, the command is: ```bash skillbridge <command> ``` ## Commands ```bash skillbridge detect <path> [--from auto|<format>] [--json] skillbridge analyze <path> --from <format|auto> --target <format> [--json] skillbridge convert <path> --from <format|auto> --to <format> [-o output.md] [--bundle-dir dir] skillbridge fix <path> --from <format|auto> --target <format> [-o output.md] [--bundle-dir dir] skillbridge corpus [--limit 20] [--json] skillbridge formats ``` What they do: - `detect`: guess the source format and show scored candidates - `analyze`: report compatibility issues before conversion - `convert`: generate target output using deterministic mappings - `fix`: same as `convert`, but adds compatibility notes for unresolved parts - `corpus`: sample local skills and make sure detection / analysis / conversion still work - `formats`: print supported formats, expected paths, frontmatter, and sidecars ## How it works SkillBridge is intentionally simple inside: 1. Parse the source skill 2. Normalize it into an internal spec 3. Convert that spec into the target format 4. Analyze what mapped cleanly and what did not The normalized spec currently tracks: - `name` - `description` - `instructions` - `tools` - `inputs` - `constraints` - `examples` - sidecars ## Deterministic by default The important part of SkillBridge is rule-based. - parsing is deterministic - conversion is deterministic - compatibility reporting is deterministic - unsupported fields are surfaced instead of silently guessed That is the whole point. This should feel like a migration tool, not a black box rewrite bot. ## Codex sidecar support SkillBridge supports the optional Codex sidecar: - `agents/openai.yaml` Current behavior: - preserve an existing sidecar when the source already has one - synthesize one when the source contains enough structured metadata - write it out with `--bundle-dir` Currently synthesized fields: - `interface.display_name` - `interface.short_description` - `interface.default_prompt` - `interface.icon_small` - `interface.icon_large` - `dependencies.tools[*].type` - `dependencies.tools[*].value` - `dependencies.tools[*].description` - `dependencies.tools[*].transport` - `dependencies.tools[*].url` ## Web playground There is also a small playground in [`playground/`](./playground/). Run it locally: ```bash npm run build npm run playground:serve ``` Then open: - `http://127.0.0.1:4173/playground/index.html` It uses the same browser-side engine as the CLI and gives you: - source editor - output viewer - raw / view / diff modes - detection / issues / sidecars panels - English and Simplified Chinese UI ## Examples in this repo - [`examples/openclaw/SKILL.md`](./examples/openclaw/SKILL.md) - [`examples/claude/git-release/SKILL.md`](./examples/claude/git-release/SKILL.md) - [`examples/codex/figma-sync/SKILL.md`](./examples/codex/figma-sync/SKILL.md) - [`examples/codex/figma-sync/agents/openai.yaml`](./examples/codex/figma-sync/agents/openai.yaml) - [`examples/opencode/git-release/SKILL.md`](./examples/opencode/git-release/SKILL.md) - [`examples/opencode/figma-bridge/SKILL.md`](./examples/opencode/figma-bridge/SKILL.md) - [`examples/agentsmd/AGENTS.md`](./examples/agentsmd/AGENTS.md) - [`examples/cursor/.cursor/rules/release-policy.mdc`](./examples/cursor/.cursor/rules/release-policy.mdc) - [`examples/cline/.clinerules/research.md`](./examples/cline/.clinerules/research.md) ## Verify before publishing ```bash npm run build npm test npm run test:corpus npm pack --dry-run ``` ## Repo layout ```text src/ CLI and conversion engine examples/ sample skills playground/ static web UI test/ regression tests ``` ## CI and release This repo already includes: - [`ci.yml`](./.github/workflows/ci.yml) for build and test - [`release.yml`](./.github/workflows/release.yml) for npm publish - [`pages.yml`](./.github/workflows/pages.yml) for GitHub Pages `prepublishOnly` runs `release:check`, which runs tests and `npm pack --dry-run`. ## References The current adapters are grounded in: - [OpenAI Codex skills docs](https://developers.openai.com/codex/skills) - [OpenAI Codex rules docs](https://developers.openai.com/codex/rules) - [OpenCode skills docs](https://opencode.ai/docs/skills) - [OpenCode config docs](https://opencode.ai/docs/bs/config/) ## Roadmap - broader sidecar support beyond Codex `agents/openai.yaml` - more adapter-specific normalization rules - optional AI-assisted rewrite mode outside the deterministic core - richer playground comparison modes ## License MIT

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직업 카테고리 3개 · 100% 분류됨

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figma-bridge

웹·디지털 인터페이스 디자이너

Sync Figma context into implementation plans.

원문 언어: 영어

2026-03-31

figma-sync

웹 개발자

Sync a Figma-driven UI task into production code while preserving project conventions and validating visual parity.

원문 언어: 영어

2026-03-31

git-release

소프트웨어 개발자

Draft release notes, propose a version bump, and keep release mechanics consistent for Claude Code workflows.

원문 언어: 영어

2026-03-31

git-release

소프트웨어 개발자

Create consistent releases and changelogs.

원문 언어: 영어

2026-03-31

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