Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
A skill your agent uses when deciding which tools to call in an agentic workflow.
Install Tool Selection Strategy
$ npx skills add aiming-lab/MetaClaw --skill tool-selection-strategy -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiming-lab/MetaClaw tool-selection-strategy --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/memory_data/skills/tool-selection-strategy .claude/skills/tool-selection-strategy && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "tool-selection-strategy" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/tool-selection-strategy into .claude/skills/tool-selection-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tool-selection-strategy", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/tool-selection-strategyType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aiming-lab/MetaClaw --skill tool-selection-strategy -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiming-lab/MetaClaw tool-selection-strategy --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/memory_data/skills/tool-selection-strategy .agents/skills/tool-selection-strategy && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tool-selection-strategy" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/tool-selection-strategy into .agents/skills/tool-selection-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tool-selection-strategy", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aiming-lab/MetaClaw --skill tool-selection-strategy -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiming-lab/MetaClaw tool-selection-strategy --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/memory_data/skills/tool-selection-strategy .cursor/skills/tool-selection-strategy && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "tool-selection-strategy" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/tool-selection-strategy into .cursor/skills/tool-selection-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tool-selection-strategy", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aiming-lab/MetaClaw.git --path memory_data/skills/tool-selection-strategy--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aiming-lab/MetaClaw --skill tool-selection-strategy -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiming-lab/MetaClaw tool-selection-strategy --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/memory_data/skills/tool-selection-strategy .gemini/skills/tool-selection-strategy && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "tool-selection-strategy" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/tool-selection-strategy into .gemini/skills/tool-selection-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tool-selection-strategy", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aiming-lab/MetaClaw tool-selection-strategyInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aiming-lab/MetaClaw --skill tool-selection-strategy -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/memory_data/skills/tool-selection-strategy .github/skills/tool-selection-strategy && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "tool-selection-strategy" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/tool-selection-strategy into .github/skills/tool-selection-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tool-selection-strategy", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aiming-lab/MetaClaw --skill tool-selection-strategy -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aiming-lab/MetaClaw tool-selection-strategy --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiming-lab/MetaClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/memory_data/skills/tool-selection-strategy .opencode/skills/tool-selection-strategy && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "tool-selection-strategy" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/tool-selection-strategy into .opencode/skills/tool-selection-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tool-selection-strategy", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
tool-selection-strategy- GitHub stars
- 3.5k
- Token cost
- ~257 tokens
- SKILL.md length
- 115 words
- Files
- 1
- Skills in repo
- 36
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when deciding which tools to call in an agentic workflow.
- Works in 4 steps: Can I answer this from memory/context?… → Is this a file operation? Use… → Is this a code search? Use Grep/Glob… → …
- Deciding which tools to call in an agentic workflow
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Tool Selection Strategy is an agent skill from aiming-lab/MetaClaw. Use this skill when deciding which tools to call in an agentic workflow. Always choose the minimal, most direct tool for each step and avoid redundant or speculative tool calls.
Its SKILL.md is about 260 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering. The repository describes itself as: 🦞 Just talk to your agent — it learns and EVOLVES 🧬. The licence is MIT.
When your agent uses it
- Deciding which tools to call in an agentic workflow
Example prompts
- “/tool-selection-strategy”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Can I answer this from memory/context? No tool call needed.
- Is this a file operation? Use Read/Write/Edit tools.
- Is this a code search? Use Grep/Glob tools.
- Is this a system operation? Use Bash (last resort).
What it can do on your machine
Read from SKILL.md and the folder at commit 922caf3. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Tool Selection Strategy loads about 257 tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 115 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from aiming-lab/MetaClaw at commit 922caf3, republished under its MIT licence (© aiming-lab). 115 words, ~257 tokens.
Download SKILL.mdSave it as
.claude/skills/tool-selection-strategy/SKILL.md (or your agent's skills folder).- name
- tool-selection-strategy
- description
- Use this skill when deciding which tools to call in an agentic workflow. Always choose the minimal, most direct tool for each step and avoid redundant or speculative tool calls.
- category
- agentic
Tool Selection Strategy
Principles:
- Least tool principle: Use the most specific, lightweight tool that accomplishes the goal.
- Read before writing: Always read a file before editing it to understand current state.
- Avoid speculative calls: Don't call a tool "just to see what happens". Have a clear hypothesis.
- Parallelize independent calls: If two reads don't depend on each other, fire them simultaneously.
Decision heuristic:
- Can I answer this from memory/context? No tool call needed.
- Is this a file operation? Use Read/Write/Edit tools.
- Is this a code search? Use Grep/Glob tools.
- Is this a system operation? Use Bash (last resort).
Anti-pattern: Using a heavy tool (Agent, Bash) when a lightweight dedicated tool suffices.
© aiming-lab, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in memory_data/skills/tool-selection-strategy of aiming-lab/MetaClaw.
Open the folder on GitHubat commit 922caf3
Compare with similar skills
Tool Selection Strategy next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Tool Selection Strategy this skillaiming-lab/MetaClaw | 3.5k | — | ~257 | Automated safety check: Pass | MIT | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 6 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| Peft Fine TuningOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.8k | 13 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Tool Selection Strategy
What does Tool Selection Strategy do?
A skill your agent uses when deciding which tools to call in an agentic workflow. Tool Selection Strategy is an agent skill from aiming-lab/MetaClaw. Use this skill when deciding which tools to call in an agentic workflow.
When should I use Tool Selection Strategy?
Tool Selection Strategy fits situations like: deciding which tools to call in an agentic workflow.
How do I install Tool Selection Strategy in Claude Code?
Run `npx skills add aiming-lab/MetaClaw --skill tool-selection-strategy -a claude-code`. Or copy the skill folder (memory_data/skills/tool-selection-strategy in aiming-lab/MetaClaw) into .claude/skills/tool-selection-strategy in your project. Claude Code loads it when a task matches its description.
How do I install Tool Selection Strategy in Codex?
Run `npx skills add aiming-lab/MetaClaw --skill tool-selection-strategy -a codex`. Or copy the skill folder (memory_data/skills/tool-selection-strategy in aiming-lab/MetaClaw) into .agents/skills/tool-selection-strategy in your project. Codex loads it when a task matches its description.
Can I use Tool Selection Strategy in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aiming-lab/MetaClaw --skill tool-selection-strategy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tool-selection-strategy, .gemini/skills/tool-selection-strategy, .github/skills/tool-selection-strategy and .opencode/skills/tool-selection-strategy in your project.
What does Tool Selection Strategy need to run?
SKILL.md names no scripts, command-line tools or credentials: Tool Selection Strategy is instructions for the agent only.
Does Tool Selection Strategy access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Tool Selection Strategy safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Tool Selection Strategy use?
Tool Selection Strategy is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Tool Selection Strategy use?
About 257 tokens (SKILL.md is roughly 1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Tool Selection Strategy?
Skills that share tags, products or a category with Tool Selection Strategy: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), Peft Fine Tuning (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Tool Selection Strategy?
aiming-lab (a GitHub organization) maintains it in aiming-lab/MetaClaw, which has 3,459 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on June 7, 2026.
Source: aiming-lab/MetaClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.