Agent skill

ralph-execution

Execute Ralph loops. Use when: Running the autonomous loop, managing tasks, or handling backpressure. Not for: Designing new loops or defining high-level strategy.

majiayu000534★ · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill ralph-execution --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 0 KB
Bundled scripts: none
Path: skills/agent/ralph-execution/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

# Ralph Execution ralph execution skill documentation. ## Core Concept Core concept for ralph-execution. ## Best Practices Follow best practices and guidelines. ## Navigation For detailed examples, see: `examples.md` For technical reference, see: `reference.md`

What's inside
Steps it walks through
  1. Core Concept
  2. Best Practices
  3. Navigation
Ships with 1 file
  • metadata.json
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About this skill
What does the ralph-execution skill do?

Execute Ralph loops. Use when: Running the autonomous loop, managing tasks, or handling backpressure. Not for: Designing new loops or defining high-level strategy.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill ralph-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.

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