Swarm Parallel Dispatch
langchain-ai/langchain-skills
Fans a list of independent items out to subagents in parallel, merges the results back into a table and supports retrying only the rows that failed.
A skill your agent uses when a user presents a large, vague goal.
$ npx skills add aiming-lab/MetaClaw --skill task-decomposition -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiming-lab/MetaClaw task-decomposition --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/task-decomposition .claude/skills/task-decomposition && 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 "task-decomposition" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/task-decomposition into .claude/skills/task-decomposition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "task-decomposition", 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/task-decompositionType 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 task-decomposition -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiming-lab/MetaClaw task-decomposition --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/task-decomposition .agents/skills/task-decomposition && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "task-decomposition" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/task-decomposition into .agents/skills/task-decomposition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "task-decomposition", 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 task-decomposition -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiming-lab/MetaClaw task-decomposition --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/task-decomposition .cursor/skills/task-decomposition && 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 "task-decomposition" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/task-decomposition into .cursor/skills/task-decomposition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "task-decomposition", 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/task-decomposition--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 task-decomposition -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiming-lab/MetaClaw task-decomposition --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/task-decomposition .gemini/skills/task-decomposition && 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 "task-decomposition" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/task-decomposition into .gemini/skills/task-decomposition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "task-decomposition", 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 task-decompositionInstalls 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 task-decomposition -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/task-decomposition .github/skills/task-decomposition && 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 "task-decomposition" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/task-decomposition into .github/skills/task-decomposition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "task-decomposition", 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 task-decomposition -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 task-decomposition --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/task-decomposition .opencode/skills/task-decomposition && 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 "task-decomposition" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/task-decomposition into .opencode/skills/task-decomposition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "task-decomposition", 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.
task-decompositionA skill your agent uses when a user presents a large, vague goal.
Task Decomposition is an agent skill from aiming-lab/MetaClaw. Use this skill when a user presents a large, vague goal. Break it into concrete, ordered sub-tasks before starting any work. Apply whenever the request is larger than a single focused action.
Its SKILL.md is about 190 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 Agent Workflows, covering Task breakdown. The repository describes itself as: 🦞 Just talk to your agent — it learns and EVOLVES 🧬. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 922caf3. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Task Decomposition loads about 185 tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 72 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.
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.
The full file from aiming-lab/MetaClaw at commit 922caf3, republished under its MIT licence (© aiming-lab). 72 words, ~185 tokens.
.claude/skills/task-decomposition/SKILL.md (or your agent's skills folder).Before starting a large goal, decompose it.
Steps:
Anti-pattern: Starting immediately on step 1 of an unclear plan and discovering halfway through that the approach was wrong.
© 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
Just SKILL.md in memory_data/skills/task-decomposition of aiming-lab/MetaClaw.
Open the folder on GitHubat commit 922caf3
Task Decomposition 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 |
|---|---|---|---|---|---|---|
| Task Decomposition this skillaiming-lab/MetaClaw | 3.5k | — | ~185 | Automated safety check: Pass | MIT | |
| Swarm Parallel Dispatchlangchain-ai/langchain-skills | 1.3k | — | ~3k | Automated safety check: Pass | MIT | |
| Deepagents Planning Todossoba-labs/langchain-agent-skills | 107 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Procrastination Busterhidai25/eval-view | 137 | 1 repos | ~837 | Automated safety check: Pass | Apache-2.0 | |
| Context Budgetericrisco/rsc-harness | 167 | — | ~2.4k | Automated safety check: Pass | MIT | |
| MemPalace Task HandoffMemPalace/mempalace | 59k | — | ~1.9k | Automated safety check: Pass | MIT |
langchain-ai/langchain-skills
Fans a list of independent items out to subagents in parallel, merges the results back into a table and supports retrying only the rows that failed.
soba-labs/langchain-agent-skills
Use the writetodos tool effectively for task planning and decomposition in Deep Agents.
hidai25/eval-view
Beat procrastination with task breakdown, 2-minute starts, and accountability tracking
ericrisco/rsc-harness
A skill your agent uses when a long-horizon task is filling the context window and you must decide what to keep, offload, drop, or hand off to a fresh window — when to compact, what the summary must…
MemPalace/mempalace
Creates, hands off, claims, executes and closes agent tasks through the MemPalace logstream, with approval of the exact task before it is recorded.
abashev/vfs-s3
Breaks work into ordered tasks. An agent skill from abashev/vfs-s3.
aiming-lab/MetaClaw
Use this skill before any data analysis, transformation, or modeling.
aiming-lab/MetaClaw
A skill your agent uses when implementing any endpoint, form handler, CLI tool, or function that accepts external input.
aiming-lab/MetaClaw
A skill your agent uses when writing shell scripts, Python automation, or any unattended batch job.
aiming-lab/MetaClaw
A skill your agent uses when building production services, pipelines, or automation that needs to be debugged, monitored, or audited.
aiming-lab/MetaClaw
A skill your agent uses when delegating a subtask to a sub-agent, spawning a parallel worker, or handing off work across sessions.
aiming-lab/MetaClaw
A skill your agent uses when writing messages in async channels (Slack, GitHub issues, email threads) where the reader may not have context and cannot ask follow-up questions immediately.
Categories
A skill your agent uses when a user presents a large, vague goal. Task Decomposition is an agent skill from aiming-lab/MetaClaw. Use this skill when a user presents a large, vague goal.
Task Decomposition fits situations like: A user presents a large; tasks that involve Task breakdown.
Run `npx skills add aiming-lab/MetaClaw --skill task-decomposition -a claude-code`. Or copy the skill folder (memory_data/skills/task-decomposition in aiming-lab/MetaClaw) into .claude/skills/task-decomposition in your project. Claude Code loads it when a task matches its description.
Run `npx skills add aiming-lab/MetaClaw --skill task-decomposition -a codex`. Or copy the skill folder (memory_data/skills/task-decomposition in aiming-lab/MetaClaw) into .agents/skills/task-decomposition in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aiming-lab/MetaClaw --skill task-decomposition -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/task-decomposition, .gemini/skills/task-decomposition, .github/skills/task-decomposition and .opencode/skills/task-decomposition in your project.
SKILL.md names no scripts, command-line tools or credentials: Task Decomposition is instructions for the agent only.
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.
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.
Task Decomposition is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 185 tokens (SKILL.md is roughly 740 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Task Decomposition: Swarm Parallel Dispatch (langchain-ai/langchain-skills, 1.3k stars), Deepagents Planning Todos (soba-labs/langchain-agent-skills, 107 stars), Procrastination Buster (hidai25/eval-view, 137 stars) and Context Budget (ericrisco/rsc-harness, 167 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
aiming-lab (a GitHub organization) maintains it in aiming-lab/MetaClaw, which has 3,458 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.