39-agent-skills-mcp-code-execution
Create a skill that orchestrates the write-execute-analyze loop to autonomously process data. Learn to implement error recovery, iterate toward robust solutions, and test your skill across diverse input scenarios. This is where specification-driven development meets real problem-solving.
npx skills add majiayu000/claude-skill-registry --skill 39-agent-skills-mcp-code-execution --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Build Script-Execution Skill You've learned the pattern (Lesson 5): write code from specification → execute it → analyze errors → iterate. Now you're going to build a skill that orchestrates this loop autonomously. But here's what makes this different from following a tutorial: You'll specify what problem you're solving FIRST, then let AI help you build the skill while you validate each decision. You're not just learning a pattern—you're learning to think about error recovery, convergence criteria, and edge cases the way production systems demand. ## Step 1: Write Your Specification Before touching any skill code, write a specification for the problem you're solving. You'll use a CSV data processing task because it's concrete and has natural edge cases. Choose one of these: - **CSV Analysis**: Analyze customer or sales data for patterns - **CSV Transformation**: Clean and restructure messy CSV data - **CSV Aggregation**: Group data by dimensions and calculate metrics Or define your own data processing task. ### Your Specification Write this to a file (skill-spec.md) or document: ```markdown # CSV Analysis Skill Specification ## Intent [What does this skill do? Be specific about t
- Step 1: Write Your Specification
- Your Specification
- Step 2: Design Your Skill's Persona and Questions
- Step 3: Build the Skill Core with AI Collaboration
- Part A: Generate Initial Implementation
- Part B: Test with Real Data
- Part C: Recover from Errors
- Part D: Iterate Until Convergence
- Step 4: Build the Iteration Loop (The Skill Automating the Pattern)
- Step 5: Implementation Guidance with AI
- Get AI Help Building the Iteration Loop
- Build Convergence Validation
- Add Timeout and Resource Protection
- Step 6: Test Your Skill Against Edge Cases
What does the 39-agent-skills-mcp-code-execution skill do?
Create a skill that orchestrates the write-execute-analyze loop to autonomously process data. Learn to implement error recovery, iterate toward robust solutions, and test your skill across diverse input scenarios. This is where specification-driven development meets real problem-solving.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill 39-agent-skills-mcp-code-execution --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.