Agent skill

agents-generator

Generate project-specific AGENTS.md and companion rules by analyzing a codebase. Supports full, minimal, update, and dry-run modes with package-manager detection, monorepos, backups, managed blocks, confidence scoring, and command validation.

Nick44,086★ · +407/wk · 1 repos on radarProfile →
claude-codecodexcursorcopilotcan modify filesMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill agents-generator --agent claude-code

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

Facts
Files in the skill folder: 20
SKILL.md size: 9 KB
Bundled scripts: none
Version: 1.2.3
Declared author: OJPalenzuela
Allowed tools: ReadWriteEditBash(ls:*)Bash(git:*)Bash(tree:*)Bash(find:*)GrepGlobWebFetch
Path: skills/agents-generator/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

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

From the SKILL.md

# Skill: agents-generator > [!WARNING] > **[Authorized Use Only]** This skill writes or updates `AGENTS.md`, `.agents/rules/`, optional platform instruction files, and timestamped backups in the target project. Read the detected inputs and proposed outputs first, obtain approval before changing target files, and use it only inside the user's intended project scope. ## When to Use Use this skill when the user wants to: - create a complete, project-specific `AGENTS.md` instead of generic agent rules; - generate companion rules for detected frameworks, tests, databases, styling, or monorepo packages; - create a minimal `AGENTS.md`, preview changes without writing, or update existing instructions after the stack changes. Do not use it to invent conventions without inspecting the target project, to overwrite instructions outside the user's scope, or to treat generated guidance as a substitute for human review. Generates a tailored AGENTS.md + `.agents/rules/*.md` for the target project — not a template with placeholders, but a living document that matches the project's real toolchain. ## What you get From a project that uses **Bun + Next.js 16 + Tailwind + Vitest + Server Actions**, the

What's inside
Steps it walks through
  1. When to Use
  2. What you get
  3. Activation Contract
  4. Mode selection
  5. Dry-run mode
  6. Hard Rules
  7. Execution Steps
  8. Common
  9. Full mode
  10. Minimal mode
  11. Update mode
  12. Post-generation
  13. Output Contract
  14. Limitations
Ships with 19 files
  • assets/agents-full.md
  • assets/agents-minimal.md
  • assets/agents-nested.md
  • assets/architecture.md
  • assets/backend.md
  • assets/claude.md
  • assets/database.md
  • assets/forms.md
  • assets/frontend-patterns.md
  • assets/git-workflow.md
  • assets/i18n.md
  • assets/platform.md
  • assets/sdd-workflow.md
  • assets/server-actions.md
  • assets/styling.md
  • assets/testing.md
  • references/decision-matrix.md
  • references/example-output/README.md
  • references/template-filling-guide.md
More from agentic-awesome-skills
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About this skill
What does the agents-generator skill do?

Generate project-specific AGENTS.md and companion rules by analyzing a codebase. Supports full, minimal, update, and dry-run modes with package-manager detection, monorepos, backups, managed blocks, confidence scoring, and command validation.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill agents-generator --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 sickn33/agentic-awesome-skills, a repository with 44,414 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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