Agent skill · Code Review & Quality

prompt-generator

Generate or convert Claude Code prompt files — command orchestrators, skill files, agent role definitions, or style conversion of existing files. Follows GSD-style content separation with built-in quality gates. Triggers on "create command", "new command", "create skill", "new skill", "create agent", "new agent", "convert command", "convert skill", "convert agent", "prompt generator", "优化".

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill prompt-generator-catlog22-claude-code-workflow --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 18 KB
Bundled scripts: none
Allowed tools: ReadWriteEditBashGlobAskUserQuestion
Path: skills/ai-llm/prompt-generator-catlog22-claude-code-workflow/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

<purpose> Generate or convert Claude Code prompt files with concrete, domain-specific content. Four modes: - **Create command** — new orchestration workflow at `.claude/commands/` or `~/.claude/commands/` - **Create skill** — new skill file at `.claude/skills/*/SKILL.md` (progressive loading, no @ refs) - **Create agent** — new role + expertise file at `.claude/agents/` - **Convert** — restyle existing command/skill/agent to GSD conventions with zero content loss Content separation principle (from GSD): commands/skills own orchestration flow; agents own domain knowledge. Skills are a variant of commands but loaded progressively inline — they CANNOT use `@` file references. Invoked when user requests "create command", "new command", "create skill", "new skill", "create agent", "new agent", "convert command", "convert skill", "convert agent", "prompt generator", or "优化". </purpose> <required_reading> - @.claude/skills/prompt-generator/specs/command-design-spec.md - @.claude/skills/prompt-generator/specs/agent-design-spec.md - @.claude/skills/prompt-generator/specs/conversion-spec.md - @.claude/skills/prompt-generator/templates/command-md.md - @.claude/skills/prompt-generator/template

What's inside
Steps it walks through
  1. 1. Determine Artifact Type
  2. 2. Validate Parameters
  3. 3. Resolve Target Path
  4. 4. Gather Requirements
  5. 5. Generate Content
  6. 5a. Command Generation
  7. 5a-skill. Skill Generation (variant of command)
  8. 5b. Agent Generation
  9. 5c. Convert Mode (Restyle Existing File)
  10. Content quality rules (both types):
  11. 6. Quality Gate
  12. 6a. Structural Validation (both types)
  13. 6b. Command-Specific Checks
  14. 6b-skill. Skill-Specific Checks
Ships with 1 file
  • metadata.json
Commands it runs
For commands: scan existing commands
ls .claude/commands/**/*.md 2>/dev/null | head -5
For agents: scan existing agents
ls .claude/agents/*.md 2>/dev/null | head -5
mkdir -p "$(dirname "$TARGET_PATH")"
More from claude-skill-registry
All skills →
About this skill
What does the prompt-generator skill do?

Generate or convert Claude Code prompt files — command orchestrators, skill files, agent role definitions, or style conversion of existing files. Follows GSD-style content separation with built-in quality gates. Triggers on "create command", "new command", "create skill", "new skill", "create agent", "new agent", "convert command", "convert skill", "convert agent", "prompt generator", "优化".

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill prompt-generator-catlog22-claude-code-workflow --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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