Agent skill · Design & Presentation

39-agent-skills-mcp-code-execution-panaversity-agentfactory

Build a specification-first Digital FTE that orchestrates accumulated intelligence from Lessons 1-7. Learn to compose execution skills into production-ready agents, validate against specifications, and position for monetization.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill 39-agent-skills-mcp-code-execution-panaversity-agentfactory --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 28 KB
Bundled scripts: none
Path: skills/agent/39-agent-skills-mcp-code-execution-panaversity-agentfactory/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Capstone: Shippable Agent Skill You've now learned every pattern this chapter teaches: persona design (Lesson 1), skill composition (Lesson 2), MCP-wrapping (Lessons 3-4), script execution (Lessons 5-6), and workflow orchestration (Lesson 7). But learning patterns is not the same as building products. This capstone is different. You're not following steps or solving a predetermined problem. You're doing what every AI-native entrepreneur must do: **articulate a problem clearly enough that AI can build a solution to it, then validate that solution works in the real world.** You're building a **specification-first Digital FTE**—a complete, shippable execution skill that solves a real customer problem. This skill will orchestrate the accumulated intelligence from all previous lessons, handle production edge cases, and be ready to monetize. ## Why This Capstone Matters In the agent economy, the developers who win are those who can: 1. **Identify customer problems** that are specific enough to solve but broad enough to charge for 2. **Write specifications clearly** so AI can implement without ambiguity 3. **Compose existing intelligence** rather than reinventing patterns 4. **Validate

What's inside
Steps it walks through
  1. Why This Capstone Matters
  2. Phase 1: Domain Specification (Spec FIRST)
  3. Select Your Domain
  4. Write Your Specification
  5. Phase 2: Skill Composition
  6. Map Component Dependencies
  7. Design Data Contracts
  8. Define Error Recovery Paths
  9. Phase 3: Specification → Implementation
  10. Create the Skill Implementation
  11. Test Each Component
  12. Document Implementation Decisions
  13. Phase 4: Acceptance Testing & Validation
  14. Run Full Acceptance Test Suite
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the 39-agent-skills-mcp-code-execution-panaversity-agentfactory skill do?

Build a specification-first Digital FTE that orchestrates accumulated intelligence from Lessons 1-7. Learn to compose execution skills into production-ready agents, validate against specifications, and position for monetization.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill 39-agent-skills-mcp-code-execution-panaversity-agentfactory --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.

Keep going