MCPInstall

find-skills

Discover and install agent skills from the open ecosystem. Use IMMEDIATELY when the user asks "how do I do X", "find a skill for X", "is there a skill for X", "can you do X" for specialized capabilities, wants to extend agent functionality, mentions a domain they wish they had help with, or asks about tools/templates/workflows that might exist as installable skills.

Installs
221
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/poteto/noodle --skill find-skills
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads find-skills automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Find Skills

Search for and install skills from the open agent skills ecosystem.

Commands

# Search for skills by keyword
pnpx skills find [query]

# Install a skill (always project-local, NEVER use -g)
pnpx skills add <owner/repo@skill> -y

Never use -g (global flag) — always install project-local.

Browse available skills: https://skills.sh/

Workflow

  1. Run pnpx skills find [query] with keywords matching the user's need
  2. Present results with the skill name, what it does, and the install command
  3. If the user wants it, install with pnpx skills add <owner/repo@skill> -y

When No Results Found

  1. Acknowledge no existing skill was found
  2. Offer to help with the task directly using general capabilities
  3. Mention pnpx skills init my-skill-name if they want to create their own

FAQ

What does the find-skills skill do?

Discover and install agent skills from the open ecosystem. Use IMMEDIATELY when the user asks "how do I do X", "find a skill for X", "is there a skill for X", "can you do X" for specialized capabilities, wants to extend agent functionality, mentions a domain they wish they had help with, or asks about tools/templates/workflows that might exist as installable skills.

How do I install find-skills?

Run npx skills add https://github.com/poteto/noodle --skill find-skills in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/find-skills/ (personal) or .claude/skills/find-skills/ (project).

Which AI agents can use find-skills?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is find-skills safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains find-skills?

It is published by poteto in poteto/noodle. It has 221 recorded installs.

More from poteto/noodle

View all →

adversarial-review

poteto/noodle

Adversarial code review using cross-model approach. Spawns reviewers on the opposing model (Claude uses Codex, Codex uses Claude) to challenge work from distinct critical lenses. Produces a synthesized verdict with findings and lead judgment. Triggers: "adversarial review".

unslop

poteto/noodle

Remove AI writing patterns from prose. Use for docs, READMEs, blog posts, any non-code text that should sound human. Triggers: "unslop", "humanize", "make this sound human", "clean up this writing", "edit for voice", "de-AI this text".

Docs & Writing907 installs

ts-best-practices

poteto/noodle

TypeScript type safety guidelines for writing maximally type-safe code. Apply these patterns when writing or reviewing any TypeScript: discriminated unions, type narrowing, type guards, exhaustiveness checks, avoiding as casts, preferring unknown over any, and making impossible states unrepresentable. Use this skill whenever writing TypeScript code, reviewing TypeScript for type safety issues, or when the user mentions type safety, type narrowing, discriminated unions, or asks to make types stricter/more explicit.

debugging

poteto/noodle

Systematic root-cause debugging methodology. Use for any technical problem — errors, failures, unexpected behavior, or when stuck. Triggers: "debug", "fix this", "what's wrong", "investigate".

quality

poteto/noodle

Post-cook quality gate. Reviews completed cook work for correctness, scope discipline, and principle compliance. Emits stagemessage events with findings. Triggers after execute stages, on '/quality', 'review this', 'check the work', 'assess quality'.

commit

poteto/noodle

Create conventional commit messages. Use when the user says "commit this", "save changes", "git commit", asks to commit code, write a commit message, or format git history. Follows conventional commits specification.

Popular ai & agents skills

View category →

google-agents-cli-publish

google/agents-cli

This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).

AI & Agents513.9K installs

google-agents-cli-eval

google/agents-cli

This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).

AI & Agents513.5K installs

skill-creator

anthropics/skills

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

OfficialAI & Agents416.4K installs

codex-pet

prime-skills/runcomfy-agent-skills

Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.

AI & Agents402.1K installs

full-output-enforcement

leonxlnx/taste-skill

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

AI & Agents401K installs

executing-plans

obra/superpowers

Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available

AI & Agents245.7K installs