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 for any problem that involves multiple steps, tradeoffs, or non-trivial logic.
Install Structured Step By Step Reasoning
$ npx skills add aiming-lab/MetaClaw --skill structured-step-by-step-reasoning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiming-lab/MetaClaw structured-step-by-step-reasoning --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/structured-step-by-step-reasoning .claude/skills/structured-step-by-step-reasoning && 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 "structured-step-by-step-reasoning" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/structured-step-by-step-reasoning into .claude/skills/structured-step-by-step-reasoning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structured-step-by-step-reasoning", 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/structured-step-by-step-reasoningType 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 structured-step-by-step-reasoning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiming-lab/MetaClaw structured-step-by-step-reasoning --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/structured-step-by-step-reasoning .agents/skills/structured-step-by-step-reasoning && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "structured-step-by-step-reasoning" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/structured-step-by-step-reasoning into .agents/skills/structured-step-by-step-reasoning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structured-step-by-step-reasoning", 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 structured-step-by-step-reasoning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiming-lab/MetaClaw structured-step-by-step-reasoning --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/structured-step-by-step-reasoning .cursor/skills/structured-step-by-step-reasoning && 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 "structured-step-by-step-reasoning" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/structured-step-by-step-reasoning into .cursor/skills/structured-step-by-step-reasoning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structured-step-by-step-reasoning", 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/structured-step-by-step-reasoning--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 structured-step-by-step-reasoning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiming-lab/MetaClaw structured-step-by-step-reasoning --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/structured-step-by-step-reasoning .gemini/skills/structured-step-by-step-reasoning && 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 "structured-step-by-step-reasoning" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/structured-step-by-step-reasoning into .gemini/skills/structured-step-by-step-reasoning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structured-step-by-step-reasoning", 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 structured-step-by-step-reasoningInstalls 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 structured-step-by-step-reasoning -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/structured-step-by-step-reasoning .github/skills/structured-step-by-step-reasoning && 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 "structured-step-by-step-reasoning" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/structured-step-by-step-reasoning into .github/skills/structured-step-by-step-reasoning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structured-step-by-step-reasoning", 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 structured-step-by-step-reasoning -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 structured-step-by-step-reasoning --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/structured-step-by-step-reasoning .opencode/skills/structured-step-by-step-reasoning && 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 "structured-step-by-step-reasoning" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/structured-step-by-step-reasoning into .opencode/skills/structured-step-by-step-reasoning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structured-step-by-step-reasoning", 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
structured-step-by-step-reasoning- GitHub stars
- 3.5k
- Token cost
- ~212 tokens
- SKILL.md length
- 71 words
- Files
- 1
- Skills in repo
- 36
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses for any problem that involves multiple steps, tradeoffs, or non-trivial logic.
- Works in 5 steps: Restate the core question in your own… → Identify the key sub-problems or… → Work through each sub-problem in order. → …
- Any problem that involves multiple steps
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Non-trivial logic
What it does
Structured Step By Step Reasoning is an agent skill from aiming-lab/MetaClaw. Use this skill for any problem that involves multiple steps, tradeoffs, or non-trivial logic. Think out loud before answering to improve accuracy and transparency. Apply whenever the answer is not immediately obvious.
Its SKILL.md is about 210 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
- Any problem that involves multiple steps
- Non-trivial logic
Example prompts
- “/structured-step-by-step-reasoning”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Restate the core question in your own words.
- Identify the key sub-problems or decision points.
- Work through each sub-problem in order.
- Check your intermediate results for consistency.
- Summarize the conclusion clearly.
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
Structured Step By Step Reasoning loads about 212 tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 71 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). 71 words, ~212 tokens.
Download SKILL.mdSave it as
.claude/skills/structured-step-by-step-reasoning/SKILL.md (or your agent's skills folder).- name
- structured-step-by-step-reasoning
- description
- Use this skill for any problem that involves multiple steps, tradeoffs, or non-trivial logic. Think out loud before answering to improve accuracy and transparency. Apply whenever the answer is not immediately obvious.
- category
- general
Structured Step-by-Step Reasoning
For non-trivial problems, reason explicitly before giving the final answer.
Steps:
- Restate the core question in your own words.
- Identify the key sub-problems or decision points.
- Work through each sub-problem in order.
- Check your intermediate results for consistency.
- Summarize the conclusion clearly.
Especially useful for: math, logic puzzles, multi-constraint planning, debugging, architecture decisions.
Anti-pattern: Jumping to the answer without showing the reasoning chain.
© 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/structured-step-by-step-reasoning of aiming-lab/MetaClaw.
Open the folder on GitHubat commit 922caf3
Compare with similar skills
Structured Step By Step Reasoning 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 |
|---|---|---|---|---|---|---|
| Structured Step By Step Reasoning this skillaiming-lab/MetaClaw | 3.5k | — | ~212 | 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 | 15 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
Similar skills
Add Uint Support
pytorch/pytorch
Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.
Peft Fine Tuning
Orchestra-Research/AI-Research-SKILLs
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods.
Segment Anything Model Guide
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
1password
trpc-group/trpc-agent-go
Set up and use 1Password CLI (op). An agent skill from trpc-group/trpc-agent-go.
Chroma Vector Database
Orchestra-Research/AI-Research-SKILLs
Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.
More from aiming-lab/MetaClaw
All 36 skills in this repoData Validation First
aiming-lab/MetaClaw
Use this skill before any data analysis, transformation, or modeling.
Input Validation And Sanitization
aiming-lab/MetaClaw
A skill your agent uses when implementing any endpoint, form handler, CLI tool, or function that accepts external input.
Robust Error Handling In Scripts
aiming-lab/MetaClaw
A skill your agent uses when writing shell scripts, Python automation, or any unattended batch job.
Structured Logging And Observability
aiming-lab/MetaClaw
A skill your agent uses when building production services, pipelines, or automation that needs to be debugged, monitored, or audited.
Agent Task Handoff
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.
Async Communication Etiquette
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.
Related
Categories
Questions about Structured Step By Step Reasoning
What does Structured Step By Step Reasoning do?
A skill your agent uses for any problem that involves multiple steps, tradeoffs, or non-trivial logic. Structured Step By Step Reasoning is an agent skill from aiming-lab/MetaClaw. Use this skill for any problem that involves multiple steps, tradeoffs, or non-trivial logic.
When should I use Structured Step By Step Reasoning?
Structured Step By Step Reasoning fits situations like: any problem that involves multiple steps; non-trivial logic.
How do I install Structured Step By Step Reasoning in Claude Code?
Run `npx skills add aiming-lab/MetaClaw --skill structured-step-by-step-reasoning -a claude-code`. Or copy the skill folder (memory_data/skills/structured-step-by-step-reasoning in aiming-lab/MetaClaw) into .claude/skills/structured-step-by-step-reasoning in your project. Claude Code loads it when a task matches its description.
How do I install Structured Step By Step Reasoning in Codex?
Run `npx skills add aiming-lab/MetaClaw --skill structured-step-by-step-reasoning -a codex`. Or copy the skill folder (memory_data/skills/structured-step-by-step-reasoning in aiming-lab/MetaClaw) into .agents/skills/structured-step-by-step-reasoning in your project. Codex loads it when a task matches its description.
Can I use Structured Step By Step Reasoning 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 structured-step-by-step-reasoning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/structured-step-by-step-reasoning, .gemini/skills/structured-step-by-step-reasoning, .github/skills/structured-step-by-step-reasoning and .opencode/skills/structured-step-by-step-reasoning in your project.
What does Structured Step By Step Reasoning need to run?
SKILL.md names no scripts, command-line tools or credentials: Structured Step By Step Reasoning is instructions for the agent only.
Does Structured Step By Step Reasoning 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 Structured Step By Step Reasoning 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 Structured Step By Step Reasoning use?
Structured Step By Step Reasoning 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 Structured Step By Step Reasoning use?
About 212 tokens (SKILL.md is roughly 848 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 Structured Step By Step Reasoning?
Skills that share tags, products or a category with Structured Step By Step Reasoning: 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 Structured Step By Step Reasoning?
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.