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Find Skills

OrganizationPopular
google
find-skills

Discover/install NEW agent skills from external sources (skills.sh). Use for capabilities you lack, e.g. "find a skill for X". Do NOT use to list skills you already have; see `<available_skills>`.

Overview

Publishergoogle
Repositoryadk-recipes
Skill namefind-skills
Stars
10.4K
Forks
2.9K
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by google on GitHub. Read the source before you install it.

Installation

Install the Find Skills AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/google/adk-recipes/tree/main/core/python/long-horizon-harness/horizon/builtin_skills/find-skills
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/google/adk-recipes.git /tmp/adk-recipes
mkdir -p .claude/skills
cp -r /tmp/adk-recipes/core/python/long-horizon-harness/horizon/builtin_skills/find-skills .claude/skills/find-skills
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Find Skills in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Find Skills on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Find Skills is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Find skills

When to use this skill

  • The user asks "find a skill for X", "is there a skill that does X"
  • The user asks "how do I do X" where X is a common task with a likely existing skill
  • The user wants to extend Horizon's capabilities with a new skill

Before searching externally, check the <available_skills> block in your context — the user may already have a relevant skill installed.

Step 1 — check the leaderboard

Before running any CLI command, check skills.sh to see whether a well-known skill already covers the domain. The leaderboard ranks by total installs, surfacing the most popular and battle-tested options.

Step 2 — search for skills

If the leaderboard doesn't cover the user's need, search via the Skills CLI:

bash(command="npx --yes skills find <query>")

Examples:

User saysSearch
"make my React app faster"npx --yes skills find react performance
"help with PR reviews"npx --yes skills find pr review
"create a changelog"npx --yes skills find changelog

If npx is unavailable the command will fail — fall back to browsing skills.sh manually and pasting the SKILL.md content.

Step 3 — verify quality before recommending

Never recommend a skill based solely on search results.

  • Install count — prefer 1 000+ installs; treat anything under 100 with skepticism
  • Source reputation — official organisations (vercel-labs, anthropics, microsoft) are more trustworthy than unknown authors
  • GitHub stars — check the source repo; a skill from a repo with <100 stars is a yellow flag

Step 4 — present the option to the user

I found a skill that might help: "react-best-practices" from Vercel Engineering
provides React and Next.js performance guidelines (185K installs).

Shall I install it?

Only proceed to installation after the user confirms.

Step 5 — install

Option A — write SKILL.md directly (always works)

If you have the skill content (pasted by the user, retrieved from skills.sh, or constructed from the search result):

write(".agents/skills/<name>/SKILL.md", content)
load_skill(action="reload")

write creates the directory if it does not exist. load_skill(action="reload") refreshes the <available_skills> catalog (plus extensions and manifest) on the next turn.

Option B — install via npx (requires Node.js)

First check whether npx is available:

bash(command="which npx")

If it is, install the skill. Select a single skill from a multi-skill repo with the @<skill> suffix (omit it to take the whole repo):

bash(command="npx --yes skills add <owner/repo>@<skill-name> -y")

The Skills CLI stages the skill (with its references/, assets/, and scripts/ subdirs) under .agents/skills/<skill-name>/ — exactly where Horizon loads skills from — so no move is needed. Just refresh:

load_skill(action="reload")

The staged directory name MUST match the name: field in the SKILL.md frontmatter — _load_skill_from_dir validates that and skips mismatched skills.

Step 6 — confirm activation

After load_skill(action="reload") returns (look for the new skill in loaded), tell the user:

The "<name>" skill is now installed. It will appear in your
<available_skills> catalog on the next turn.

When no skills are found

  1. Acknowledge that no existing skill was found
  2. Offer to help directly using general capabilities
  3. Offer to write a custom skill for them:
bash(command="npx --yes skills init my-skill-name")

Or skip the CLI and author one manually — write a SKILL.md following the policy or workspace skills as examples.

Common skill categories

CategorySearch terms
Web developmentreact, nextjs, typescript, css, tailwind
Testingtesting, jest, playwright, e2e
DevOpsdeploy, docker, kubernetes, ci-cd
Documentationdocs, readme, changelog, api-docs
Code qualityreview, lint, refactor, best-practices
Designui, ux, design-system, accessibility

Frequently asked questions

What does the Find Skills AI skill do?

Discover/install NEW agent skills from external sources (skills.sh). Use for capabilities you lack, e.g. "find a skill for X". Do NOT use to list skills you already have; see `<available_skills>`.

Why use Find Skills on TypingMind?

Because you install it once and use it with any model. Find Skills is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Find Skills in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/google/adk-recipes/tree/main/core/python/long-horizon-harness/horizon/builtin_skills/find-skills. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Find Skills?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Find Skills?

As many as you like. As long as a model supports skills, you can use Find Skills with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Find Skills AI skill free?

Yes. It is published on GitHub by google under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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