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.

242 stars

Best use case

tool-discovery is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. 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.

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.

Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.

Practical example

Example input

Use the "tool-discovery" skill to help with this workflow task. Context: 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.

Example output

A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.

When to use this skill

  • Use this skill when you want a reusable workflow rather than writing the same prompt again and again.

When not to use this skill

  • Do not use this when you only need a one-off answer and do not need a reusable workflow.
  • Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/tool-discovery/SKILL.md --create-dirs "https://raw.githubusercontent.com/aiskillstore/marketplace/main/skills/0xdarkmatter/tool-discovery/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/tool-discovery/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How tool-discovery Compares

Feature / Agenttool-discoveryStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this 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.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# 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

| Skill | Triggers |
|-------|----------|
| **file-search** | fd, rg, fzf, find files |
| **find-replace** | sd, batch replace |
| **code-stats** | tokei, difft, line counts |
| **data-processing** | jq, yq, json, yaml |
| **structural-search** | ast-grep, sg, ast pattern |
| **git-workflow** | lazygit, gh, delta, rebase |
| **python-env** | uv, venv, pyproject |
| **rest-patterns** | http methods, status codes |
| **sql-patterns** | cte, window functions |
| **sqlite-ops** | sqlite, aiosqlite |
| **tailwind-patterns** | tailwind, tw classes |
| **mcp-patterns** | mcp server, protocol |

## Quick Agent Reference

| Agent | Triggers |
|-------|----------|
| **python-expert** | Python, async, pytest |
| **typescript-expert** | TypeScript, types, generics |
| **react-expert** | React, hooks, state |
| **postgres-expert** | PostgreSQL, query optimization |
| **cloudflare-expert** | Workers, KV, D1, R2 |
| **Explore** | "where is", "find" |
| **Plan** | design, architect |

## How to Launch

**Skills:**
```
Skill tool → skill: "file-search"
```

**Agents:**
```
Task tool → subagent_type: "python-expert"
         → prompt: "Your task"
```

## Match by Task Type

| Task | Skill First | Agent If Needed |
|------|-------------|-----------------|
| "How to write a CTE?" | sql-patterns | sql-expert |
| "Optimize this query" | — | postgres-expert |
| "Find files named X" | file-search | Explore |
| "Set up Python project" | python-env | python-expert |
| "What HTTP status for X?" | rest-patterns | — |

## 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

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