research
Skill0 starsChanged 2 months agoMITView on GitHub
Map a codebase or feature for confident work in the current session. Use when the user explicitly asks to research a repository; trace architecture, domain concepts, patterns, data flow, and relevant history without producing speculative documentation.
189 other projects use a version of this.
Adopted by
Most recently taken up by
- dialog-db/dialog-dbtheir own version, first seen Nov 9, 2026
- howells/skillstheir own version, first seen Nov 8, 2026
- xiaoxiaosrm/dsh-mattpocock-skillstheir own version, first seen Nov 8, 2026
- Suge8/friedbuntheir own version, first seen Nov 8, 2026
- wowyuarm/dsh-agent-teamtheir own version, first seen Nov 8, 2026
- Contexera/dsh-agent-teamtheir own version, first seen Nov 8, 2026
Used with
Projects with it also use daily-arxiv, exp-eval and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
LambenthanSkilldaily-arxiv
每日从 arXiv 拉取新论文,过滤相关性,auto-ingest 高优先级论文,检测 SOTA 更新
Also in 5 projects that use this
LambenthanSkillexp-eval
实验判决门:Review LLM 独立评判实验结果 → 4 种判决路径 → 自动更新 claims confidence、ideas status、graph edges
Also in 5 projects that use this
truongtv22SkillProblem-Solving Techniques
Apply systematic problem-solving techniques for complexity spirals (simplification cascades), innovation blocks (collision-zone thinking), recurring patterns (meta-pattern recognition), assumption constraints (inversion exercise), scale uncertainty (scale game), and dispatch when stuck. Techniques derived from Microsoft Amplifier project patterns adapted for immediate application.
Also in 5 projects that use this
liufeng1976Skillsetup-ts-deep-modules
Wire dependency-cruiser into a TypeScript repo so each package is a deep module — implementation hidden in subfolders, reachable only through its entry-point files. User-invoked.
Also in 43 projects that use this
skyllwtSkillexp-pilot-eval
Pilot result evaluation — read pilot results, apply success criteria, update idea page (pilot_result, failure_reason if failed), generate PILOT_VERDICT_REPORT. Called by /ideate Phase 5 after /exp-pilot-run.
Also in 4 projects that use this
skyllwtSkillexp-pilot-run
Pilot experiment execution — read Pilot Spec YAML, write pilot code, run experiment(Confirm with the user before operation and require the applicant to conduct manual inspection), return results. Called by /ideate Phase 5. Does NOT modify wiki pages or judge pass/fail.
Also in 4 projects that use this
- +5 more from Lambenthan
- +1 more from skyllwt
Other versions189 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 189
- mattpocock/skills★ 309ksame name
- Yeachan-Heo/oh-my-claude-sisyphus★ 41ksame name
- Yeachan-Heo/oh-my-claudecode★ 41ksame name
- QuivrHQ/quivr★ 40ksame name
- The-Vibe-Company/quivr★ 40ksame name
- udecode/plate★ 17ksame name
- openai/plugins★ 7.8ksame name
- ArcReel/ArcReel★ 6.3ksame name
- vinvcn/mattpocock-skills-zh-CN★ 5.5ksame name
- withcoral/coral★ 4.9ksame name
179 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
11 rules. 0 are common, 6 are distinctive, and 5 are very specific to this project.
0
Common
Most of the 169 edited versions we read keep these.
6
Distinctive
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 14
If the user provided a target, you are in specific mode.
- Very specific: line 21
Read the top-level directory tree and package.json (or equivalent manifest).
- Distinctive: line 27
Read these if they exist. Do not create them:
- Distinctive: line 44
Read its tests to understand expected behavior and edge cases.
- Distinctive: line 54
Comprehensive: write (or overwrite) the full file.
- Very specific: line 55
Specific: update only the sections your deep-dive touched.
- Distinctive: line 85
Keep it tight. Every sentence must be something you will reference later in this session.
- Very specific: line 86
Prefer structural facts over narrative.
- Distinctive: line 87
If you don't know something that matters, state it as an open question — don't guess.
- Very specific: line 97
If the user has a task to build → /blueprint to plan the implementation, then /grill to sharpen the plan's terminology and capture ADRs.
- Very specific: line 98
If a question needs to be seen, not discussed → /prototype to build a throwaway answer.
“Common” is measured: kept by at least 6 in 10 of the 169 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Map this codebase so you can work in it with confidence for the rest of this session. Produce understanding, not documentation.
Mode
- Comprehensive (no target given, or user says "full" / "everything"): map the entire project.
- Specific (user names a feature, module, file, or area): deep-dive that target and only survey the rest.
If the user provided a target, you are in specific mode. If they didn't, ask: comprehensive or specific? One question only.
Scan
1. Structure
Read the top-level directory tree and package.json (or equivalent manifest). Identify:
- The stack (framework, runtime, database, key dependencies)
- The build/test/lint commands available
- Whether a monorepo, and if so, which package is relevant
2. Existing knowledge
Read these if they exist. Do not create them:
README.md— project purpose and setupContext/Glossary.md— domain languageContext/ADR/— architectural decisions (read only the ones touching your target in specific mode).cursor/rules/or similar — project conventions
3. Architecture (comprehensive) or target trace (specific)
Comprehensive:
- Identify entry points (CLI, HTTP server, worker, cron — what starts this thing?)
- Map major module boundaries: what directories own what responsibility, and how they import each other
- Trace the primary data path: request → handler → service → store (or equivalent)
- Identify cross-cutting concerns (logging, auth, error handling, config)
Specific:
- Locate the target's files. Trace its imports — what does it depend on?
- Trace its dependents — who calls it? Use
lsp referenceson its exports. - Read its tests to understand expected behavior and edge cases.
- Walk one complete execution path through the target end-to-end.
Synthesize
Build a mental model in scratch reasoning first — this is what you'll carry for the current session. Then write it to Context/Research/Research.md so future sessions can absorb it without re-researching.
Mode-specific behavior
- Comprehensive: write (or overwrite) the full file. You now understand the entire project — capture everything.
- Specific: update only the sections your deep-dive touched. Leave the rest intact. If no
Context/Research/Research.mdexists yet, create a minimal version covering what you explored. - Also check for topic files: after updating
Research.md, scanContext/Research/for any topic files (e.g.Research/Auth-Middleware-Chain.md) that overlap with your deep-dive target. If you found something that supersedes or refines a topic file, update or flag it. A deep-dive that contradicts a topic file is a finding — surface it as an open question.
File format
# Research: {Project Name}
> Last updated: YYYY-MM-DD (comprehensive) | YYYY-MM-DD — {target} deep-dive
## What is this?
{One sentence — the project's purpose}
## Architecture
{3-5 sentences — how the system is organized, primary data path, key boundaries}
## Domain Model
{Important entities and how they relate. Use terms from Context/Glossary.md if it exists.}
## Patterns
{Naming conventions, file structure conventions, testing patterns, error-handling style. Things you'd get wrong if you guessed.}
## Relevant ADRs
{Decisions that constrain what you can change. Only list the ones that exist and matter.}
## Open Questions
{Things you don't know that matter. "I did not trace the payment module — it's imported by billing but I haven't read it."}Rules for the synthesis
- Keep it tight. Every sentence must be something you will reference later in this session.
- Prefer structural facts over narrative. "Auth lives in
src/auth/, consumed by every route via middleware" not "The project has an authentication system which..." - If you don't know something that matters, state it as an open question — don't guess.
- State your confidence boundary explicitly: "I did not trace the payment module — it's imported by billing but I haven't read it."
Workflow
Before this command: /init (to scaffold Context/ — run once per project). Otherwise none — /research is the entry point when entering a codebase cold.
After this command:
- If the user has a task to build →
/blueprintto plan the implementation, then/grillto sharpen the plan's terminology and capture ADRs. - If a question needs to be seen, not discussed →
/prototypeto build a throwaway answer.
State which is appropriate and why.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

