Design Harness
tigerless-labs/design-harness
A decision board for evidence-based calls — the human adjudicates, the agent runs the errands.
A skill your agent uses when conducting research on a topic from scratch — literature review, competitive analysis, technical due diligence, or fact-finding.
Install Structured Research Workflow
$ npx skills add aiming-lab/MetaClaw --skill structured-research-workflow -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiming-lab/MetaClaw structured-research-workflow --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-research-workflow .claude/skills/structured-research-workflow && 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-research-workflow" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/structured-research-workflow into .claude/skills/structured-research-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structured-research-workflow", 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-research-workflowType 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-research-workflow -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiming-lab/MetaClaw structured-research-workflow --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-research-workflow .agents/skills/structured-research-workflow && 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-research-workflow" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/structured-research-workflow into .agents/skills/structured-research-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structured-research-workflow", 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-research-workflow -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiming-lab/MetaClaw structured-research-workflow --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-research-workflow .cursor/skills/structured-research-workflow && 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-research-workflow" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/structured-research-workflow into .cursor/skills/structured-research-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structured-research-workflow", 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-research-workflow--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-research-workflow -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiming-lab/MetaClaw structured-research-workflow --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-research-workflow .gemini/skills/structured-research-workflow && 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-research-workflow" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/structured-research-workflow into .gemini/skills/structured-research-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structured-research-workflow", 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-research-workflowInstalls 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-research-workflow -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-research-workflow .github/skills/structured-research-workflow && 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-research-workflow" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/structured-research-workflow into .github/skills/structured-research-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structured-research-workflow", 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-research-workflow -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-research-workflow --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-research-workflow .opencode/skills/structured-research-workflow && 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-research-workflow" agent skill from https://github.com/aiming-lab/MetaClaw/tree/main/memory_data/skills/structured-research-workflow into .opencode/skills/structured-research-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structured-research-workflow", 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-research-workflow- GitHub stars
- 3.5k
- Token cost
- ~249 tokens
- SKILL.md length
- 96 words
- Files
- 1
- Skills in repo
- 36
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when conducting research on a topic from scratch — literature review, competitive analysis, technical due diligence, or fact-finding.
- Works in 7 steps: Define scope — Write the specific… → Search broadly first — Use multiple… → Filter ruthlessly — Keep only sources… → …
- Conducting research on a topic from scratch — literature review
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Competitive analysis
What it does
Structured Research Workflow is an agent skill from aiming-lab/MetaClaw. Use this skill when conducting research on a topic from scratch — literature review, competitive analysis, technical due diligence, or fact-finding. Apply before starting any open-ended research task.
Its SKILL.md is about 250 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 Research & Science, covering Competitor analysis, Literature review and Fundraising and pitch decks. The repository describes itself as: 🦞 Just talk to your agent — it learns and EVOLVES 🧬. The licence is MIT.
When your agent uses it
- Conducting research on a topic from scratch — literature review
- Competitive analysis
- Technical due diligence
Example prompts
- “/structured-research-workflow”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Define scope — Write the specific question you are trying to answer. Avoid scope creep.
- Search broadly first — Use multiple search strategies and keywords.
- Filter ruthlessly — Keep only sources that directly address the question.
- Read deeply — Skim abstracts/intros; read in full only when clearly relevant.
- Synthesize, don't transcribe — Group findings by theme; note agreements and conflicts.
- Cite — Record source URL/DOI at time of reading; don't reconstruct later.
- Flag uncertainty — Clearly separate what is established vs. contested vs. unknown.
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 Research Workflow loads about 249 tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 96 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). 96 words, ~249 tokens.
Download SKILL.mdSave it as
.claude/skills/structured-research-workflow/SKILL.md (or your agent's skills folder).- name
- structured-research-workflow
- description
- Use this skill when conducting research on a topic from scratch — literature review, competitive analysis, technical due diligence, or fact-finding. Apply before starting any open-ended research task.
- category
- research
Structured Research Workflow
- Define scope — Write the specific question you are trying to answer. Avoid scope creep.
- Search broadly first — Use multiple search strategies and keywords.
- Filter ruthlessly — Keep only sources that directly address the question.
- Read deeply — Skim abstracts/intros; read in full only when clearly relevant.
- Synthesize, don't transcribe — Group findings by theme; note agreements and conflicts.
- Cite — Record source URL/DOI at time of reading; don't reconstruct later.
- Flag uncertainty — Clearly separate what is established vs. contested vs. unknown.
Anti-pattern: Reporting the first search result without checking alternatives.
© 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-research-workflow of aiming-lab/MetaClaw.
Open the folder on GitHubat commit 922caf3
Compare with similar skills
Structured Research Workflow 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 Research Workflow this skillaiming-lab/MetaClaw | 3.5k | — | ~249 | Automated safety check: Pass | MIT | |
| Design Harnesstigerless-labs/design-harness | 229 | — | ~4.2k | Automated safety check: Pass | MIT | |
| Interceptor ResearchHacker-Valley-Media/Interceptor | 514 | — | ~3.8k | Automated safety check: Pass | Custom licence | |
| Deep Researchsanjay3290/ai-skills | 430 | 10 repos | ~683 | Automated safety check: Notes | Apache-2.0 | |
| Bmad Deep Recondelorenj/mcp-server-trello | 446 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Academic Deep ResearchLeoYeAI/openclaw-master-skills | 2.2k | 2 repos | ~6k | Automated safety check: Pass | MIT |
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Deep Research
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Bmad Deep Recon
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Decision-grade research, three ways: draft a deep-research prompt for the user to run in their own tool (ChatGPT, Gemini, Grok, Perplexity, …), process a finished research report — file it, distill…
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Transparent, rigorous research with full methodology — not a black-box API wrapper.
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Related
Categories
Questions about Structured Research Workflow
What does Structured Research Workflow do?
A skill your agent uses when conducting research on a topic from scratch — literature review, competitive analysis, technical due diligence, or fact-finding. Structured Research Workflow is an agent skill from aiming-lab/MetaClaw. Use this skill when conducting research on a topic from scratch — literature review, competitive analysis, technical due diligence, or fact-finding.
When should I use Structured Research Workflow?
Structured Research Workflow fits situations like: conducting research on a topic from scratch — literature review; competitive analysis; technical due diligence.
How do I install Structured Research Workflow in Claude Code?
Run `npx skills add aiming-lab/MetaClaw --skill structured-research-workflow -a claude-code`. Or copy the skill folder (memory_data/skills/structured-research-workflow in aiming-lab/MetaClaw) into .claude/skills/structured-research-workflow in your project. Claude Code loads it when a task matches its description.
How do I install Structured Research Workflow in Codex?
Run `npx skills add aiming-lab/MetaClaw --skill structured-research-workflow -a codex`. Or copy the skill folder (memory_data/skills/structured-research-workflow in aiming-lab/MetaClaw) into .agents/skills/structured-research-workflow in your project. Codex loads it when a task matches its description.
Can I use Structured Research Workflow 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-research-workflow -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-research-workflow, .gemini/skills/structured-research-workflow, .github/skills/structured-research-workflow and .opencode/skills/structured-research-workflow in your project.
What does Structured Research Workflow need to run?
SKILL.md names no scripts, command-line tools or credentials: Structured Research Workflow is instructions for the agent only.
Does Structured Research Workflow 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 Research Workflow 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 Research Workflow use?
Structured Research Workflow 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 Research Workflow use?
About 249 tokens (SKILL.md is roughly 996 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 Research Workflow?
Skills that share tags, products or a category with Structured Research Workflow: Design Harness (tigerless-labs/design-harness, 229 stars), Interceptor Research (Hacker-Valley-Media/Interceptor, 514 stars), Deep Research (sanjay3290/ai-skills, 430 stars) and Bmad Deep Recon (delorenj/mcp-server-trello, 446 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Structured Research Workflow?
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.