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Tool Discovery

Organization
aiskillstore
tool-discovery

Recommend the right agents and skills for any task. Covers both heavyweight agents (Task tool) and lightweight skills (Skill tool). Triggers on: which agent, which skill, what tool should I use, help me choose, recommend agent, find the right tool.

Overview

Publisheraiskillstore
Repositorymarketplace
Skill nametool-discovery
Stars
427
Forks
45
Bundled files
4
LicenseMIT
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.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Tool Discovery 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.
  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/aiskillstore/marketplace.git /tmp/marketplace
mkdir -p .claude/skills
cp -r /tmp/marketplace/skills/0xdarkmatter/tool-discovery .claude/skills/tool-discovery
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tool Discovery 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 Tool Discovery 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 Tool Discovery 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.

Tool Discovery

Recommend the right agents and skills for any task.

Decision Flowchart

Is this a reference/lookup task?
├── YES → Use a SKILL (lightweight, auto-injects)
└── NO → Does it require reasoning/decisions?
         ├── YES → Use an AGENT (heavyweight, spawns subagent)
         └── MAYBE → Check catalogs below

Rule: Skills = patterns/reference. Agents = decisions/expertise.

Quick Skill Reference

SkillTriggers
file-searchfd, rg, fzf, find files
find-replacesd, batch replace
code-statstokei, difft, line counts
data-processingjq, yq, json, yaml
structural-searchast-grep, sg, ast pattern
git-opsgit, gh, lazygit, delta, commit, PR, release, rebase
python-envuv, venv, pyproject
go-opsgolang, go, goroutine, channel, context, errgroup, go test
rust-opsrust, cargo, ownership, tokio, serde, trait, Result, Option
typescript-opstypescript, type system, generics, utility types, Zod
docker-opsdocker, Dockerfile, docker-compose, multi-stage build
ci-cd-opsgithub actions, CI, CD, pipeline, release, workflow
api-design-opsapi design, gRPC, GraphQL, REST advanced, protobuf
rest-opshttp methods, status codes
sql-opscte, window functions
postgres-opspostgresql, postgres, EXPLAIN ANALYZE, vacuum, pgbouncer, JSONB, RLS, replication
sqlite-opssqlite, aiosqlite
tailwind-opstailwind, tw classes, dark mode, responsive
mcp-opsmcp server, fastmcp, tool handler, transport
react-opsreact, hooks, useState, next.js, RSC, zustand
vue-opsvue, composition api, pinia, nuxt, script setup
javascript-opsjavascript, node, esm, async/await, event loop
astro-opsastro, islands, content collections, partial hydration
laravel-opslaravel, eloquent, artisan, sanctum, pest
payloadcms-opspayload, payload cms, headless cms, collections
craftcms-opscraft, craftcms, twig, matrix fields
asus-router-opsasus router, asuswrt, merlin, network hardening
nginx-opsnginx, reverse proxy, ssl, load balancer, proxy_pass
cloudflare-opscloudflare, workers, KV, D1, R2, pages, wrangler, edge
cypress-opscypress, e2e, component testing, custom commands, stubbing
bash-opsbash, shell scripting, traps, CI scripts, defensive scripting
claude-code-opsclaude code extensions, skills, agents, hooks, MCP, plugins
auth-opsjwt, oauth2, session, rbac, passkey, mfa, login
monitoring-opsprometheus, grafana, opentelemetry, SLO, alerting
debug-opsdebug, crash, memory leak, race condition, bisect
perf-opsperformance, profiling, flamegraph, bundle size, load test, benchmark
migrate-opsmigrate, upgrade, breaking changes, codemod, version upgrade
refactor-opsrefactor, extract, code smell, dead code, rename, restructure
scaffoldscaffold, boilerplate, project template, init project, new project
log-opsJSONL, log analysis, parse logs, lnav, log search, timeline

Quick Agent Reference

AgentTriggers
firecrawl-expertweb scraping, crawling, anti-bot
project-organizerrestructure, organize, cleanup
git-agentcommit, push, PR (dispatched by git-ops)
Explore"where is", "find"
Plandesign, architect

For Cloudflare/Workers, Cypress/E2E, shell scripting, Claude Code extension work, and CMS/device domains (Payload, Craft, Asus routers), use the matching -ops skill (cloudflare-ops, cypress-ops, bash-ops, claude-code-ops, payloadcms-ops, craftcms-ops, asus-router-ops). For language/framework work (Python, TypeScript, React, Postgres, etc.), use the matching -ops skill — or dispatch general-purpose with an instruction to read that skill's SKILL.md first.

How to Launch

Skills:

Skill tool → skill: "file-search"

Agents:

Task tool → subagent_type: "firecrawl-expert"
         → prompt: "Your task"

Match by Task Type

TaskSkill FirstAgent If Needed
"How to write a CTE?"sql-ops
"Optimize this query"postgres-ops
"Find files named X"file-searchExplore
"Set up Python project"python-env
"What HTTP status for X?"rest-ops
"React Server Components?"react-ops
"Vue 3 composable pattern"vue-ops
"Configure nginx SSL"nginx-ops
"JWT vs session auth"auth-ops
"Set up Prometheus"monitoring-ops
"Debug memory leak"debug-ops
"Scrape a blocked site"jina-opsfirecrawl-expert

Tips

  • Skills are cheaper - Use for lookups, patterns
  • Agents are powerful - Use for decisions, optimization
  • Don't over-recommend - Max 2-3 tools per task

Additional Resources

For complete catalogs, load:

  • ./references/agents-catalog.md - All agents with capabilities
  • ./references/skills-catalog.md - All skills with details

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Tool Discovery AI skill do?

Recommend the right agents and skills for any task. Covers both heavyweight agents (Task tool) and lightweight skills (Skill tool). Triggers on: which agent, which skill, what tool should I use, help me choose, recommend agent, find the right tool.

Why use Tool Discovery on TypingMind?

Because you install it once and use it with any model. Tool Discovery 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 Tool Discovery in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aiskillstore/marketplace/tree/main/skills/0xdarkmatter/tool-discovery. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Tool Discovery?

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 Tool Discovery?

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

Is the Tool Discovery AI skill free?

Yes. It is published on GitHub by aiskillstore under the MIT 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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