본문으로 건너뛰기
cccskills
무료GitHub에 공개

migrate-to-skills

Convert 'Applied intelligently' Cursor rules (.cursor/rules/*.mdc) and slash commands (.cursor/commands/*.md) to Agent Skills format (.cursor/skills/). Use when the user wants to migrate rules or commands to skills, convert .mdc rules to SKILL.md format, or consolidate commands into the skills directory.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(1)

  • SKILL.md6.3 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Migrate Rules and Slash Commands to Skills

Convert Cursor rules ("Applied intelligently") and slash commands to Agent Skills format.

CRITICAL: Preserve the exact body content. Do not modify, reformat, or "improve" it - copy verbatim.

Locations

LevelSourceDestination
Project{workspaceFolder}/**/.cursor/rules/*.mdc, {workspaceFolder}/.cursor/commands/*.md
User~/.cursor/commands/*.md

Notes:

  • Cursor rules inside the project can live in nested directories. Be thorough in your search and use glob patterns to find them.
  • Ignore anything in ~/.cursor/worktrees
  • Ignore anything in ~/.cursor/skills-cursor. This is reserved for Cursor's internal built-in skills and is managed automatically by the system.

Finding Files to Migrate

Rules: Migrate if rule has a description but NO globs and NO alwaysApply: true.

Commands: Migrate all - they're plain markdown without frontmatter.

Conversion Format

Rules: .mdc → SKILL.md

# Before: .cursor/rules/my-rule.mdc
---
description: What this rule does
globs:
alwaysApply: false
---
# Title
Body content...
# After: .cursor/skills/my-rule/SKILL.md
---
name: my-rule
description: What this rule does
---
# Title
Body content...

Changes: Add name field, remove globs/alwaysApply, keep body exactly.

Commands: .md → SKILL.md

# Before: .cursor/commands/commit.md
# Commit current work
Instructions here...
# After: .cursor/skills/commit/SKILL.md
---
name: commit
description: Commit current work with standardized message format
disable-model-invocation: true
---
# Commit current work
Instructions here...

Changes: Add frontmatter with name (from filename), description (infer from content), and disable-model-invocation: true, keep body exactly.

Note: The disable-model-invocation: true field prevents the model from automatically invoking this skill. Slash commands are designed to be explicitly triggered by the user via the / menu, not automatically suggested by the model.

Notes

  • name must be lowercase with hyphens only
  • description is critical for skill discovery
  • Optionally delete originals after verifying migration works

Migrate a Rule (.mdc → SKILL.md)

  1. Read the rule file
  2. Extract the description from the frontmatter
  3. Extract the body content (everything after the closing --- of the frontmatter)
  4. Create the skill directory: .cursor/skills/{skill-name}/ (skill name = filename without .mdc)
  5. Write SKILL.md with new frontmatter (name and description) + the EXACT original body content (preserve all whitespace, formatting, code blocks verbatim)
  6. Delete the original rule file

Migrate a Command (.md → SKILL.md)

  1. Read the command file
  2. Extract description from the first heading (remove # prefix)
  3. Create the skill directory: .cursor/skills/{skill-name}/ (skill name = filename without .md)
  4. Write SKILL.md with new frontmatter (name, description, and disable-model-invocation: true) + blank line + the EXACT original file content (preserve all whitespace, formatting, code blocks verbatim)
  5. Delete the original command file

CRITICAL: Copy the body content character-for-character. Do not reformat, fix typos, or "improve" anything.

Workflow

If you have the Task tool available: DO NOT start to read all of the files yourself. That function should be delegated to the subagents. Your job is to dispatch the subagents for each category of files and wait for the results.

  1. Create the skills directories if they don't exist (.cursor/skills/ for project, ~/.cursor/skills/ for user)
  2. Dispatch three fast general purpose subagents (NOT explore) in parallel to do the following steps for project rules (pattern: {workspaceFolder}/**/.cursor/rules/*.mdc), user commands (pattern: ~/.cursor/commands/*.md), and project commands (pattern: {workspaceFolder}/**/.cursor/commands/*.md): I. [ ] Find files to migrate in the given pattern II. [ ] For rules, check if it's an "applied intelligently" rule (has description, no globs, no alwaysApply: true). Commands are always migrated. DO NOT use the terminal to read files. Use the read tool. III. [ ] Make a list of files to migrate. If empty, done. IV. [ ] For each file, read it, then write the new skill file preserving the body content EXACTLY. DO NOT use the terminal to write these files. Use the edit tool. V. [ ] Delete the original file. DO NOT use the terminal to delete these files. Use the delete tool. VI. [ ] Return a list of all the skill files that were migrated along with the original file paths.
  3. Wait for all subagents to complete and summarize the results to the user. IMPORTANT: Make sure to let them know if they want to undo the migration, to ask you to.
  4. If the user asks you to undo the migration, do the opposite of the above steps to restore the original files.

If you don't have the Task tool available:

  1. Create the skills directories if they don't exist (.cursor/skills/ for project, ~/.cursor/skills/ for user)
  2. Find files to migrate in both project (.cursor/) and user (~/.cursor/) directories
  3. For rules, check if it's an "applied intelligently" rule (has description, no globs, no alwaysApply: true). Commands are always migrated. DO NOT use the terminal to read files. Use the read tool.
  4. Make a list of files to migrate. If empty, done.
  5. For each file, read it, then write the new skill file preserving the body content EXACTLY. DO NOT use the terminal to write these files. Use the edit tool.
  6. Delete the original file. DO NOT use the terminal to delete these files. Use the delete tool.
  7. Summarize the results to the user. IMPORTANT: Make sure to let them know if they want to undo the migration, to ask you to.
  8. If the user asks you to undo the migration, do the opposite of the above steps to restore the original files.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Train and optimize AI agents using Microsoft's Agent Lightning framework with reinforcement learning. Use when setting up agent training, instrumenting agents with tracing, configuring LightningStore, implementing reward functions, or optimizing prompts with RL/APO algorithms.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

coco-research/coco7942026년 10월 19일 업데이트

Post-run self-evaluation system that scores agent output on correctness, clarity, actionability, and conciseness. Use after /team runs, skill executions, or when explicitly asked to evaluate output quality.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

coco-research/coco7942026년 10월 19일 업데이트

Create AI marketing videos for ads, promos, product launches, and brand content. Models: Veo, Seedance, Wan, FLUX for visuals, Kokoro for voiceover. Types: product demos, testimonials, explainers, social ads, brand videos. Use for: Facebook ads, YouTube ads, product launches, brand awareness. Triggers: marketing video, ad video, promo video, commercial, brand video, product video, explainer video, ad creative, video ad, facebook ad video, youtube ad, instagram ad, tiktok ad, promotional video, launch video

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

coco-research/coco7942026년 10월 19일 업데이트

Use when building AI features into a product: LLM integration, RAG pipelines, guardrails, streaming, AI UX, prompt engineering, or AI cost control. Treats prompts as code and validates every model output.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

coco-research/coco7942026년 10월 19일 업데이트

Your AI research and engineering brain trust. 59 named personas across 8 cells covering frontier labs, applied product, model architecture, reasoning/RL/agents, alignment and interpretability, theory and science of DL, multimodal and…

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

coco-research/coco7942026년 10월 19일 업데이트

Use when designing a new REST or GraphQL API, reviewing an API spec before implementation, setting team API standards, or migrating REST to GraphQL. Covers resources, HTTP semantics, pagination, error handling, and pitfalls.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

coco-research/coco7942026년 10월 19일 업데이트

coco-research의 스킬 모두 보기

이 스킬의 문제 신고