survey
Skill1 starsChanged 2 months agoMITView on GitHub
Rapidly map the parts of an unfamiliar codebase or technical project that matter to the current goal. Use before deeper investigation when you need entry points, boundaries, relevant components, likely dependencies, existing docs/tests, and high-value unknowns without reading the whole repository.
21 other projects use a version of this.
Adopted by
Most recently taken up by
- genkovich/sddtheir own version, first seen Oct 25, 2026
- PKU-DAIR/AutoScitheir own version, first seen Oct 25, 2026
- wheslleyrimar/BuildCLI-Agentstheir own version, first seen Oct 22, 2026
- LazyerIJ/self-clonetheir own version, first seen Oct 17, 2026
- steven112163/dotharnesstheir own version, first seen Oct 15, 2026
- DAIR-AutoResearch/AutoScitheir own version, first seen Oct 15, 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
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
phanghonghaoSkillposter
HTML/CSS A4 海报生成。从沙龙/活动 Markdown 文件生成科技风 A4 海报 PDF/PNG。Use when user mentions: poster, 海报, 海报生成, make poster, generate poster, 活动海报, 沙龙海报.
Also in 4 projects that use this
- +6 more from Lambenthan
- +1 more from skyllwt
Other versions21 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 21
- skyllwt/OmegaWiki★ 1.7ksame name
- DAIR-AutoResearch/AutoSci★ 1.7ksame name
- PKU-DAIR/AutoSci★ 1.7ksame name
- skyllwt/AutoSci★ 1.7ksame name
- genkovich/sdd★ 187same name
- SNL-UCSB/literature-survey-skill★ 93same name
- Lambenthan/empiricalwiki★ 85same name
- spacedock-dev/spacedock★ 85same name
- V-Songbird/foreman★ 35same name
- jmylchreest/aide★ 19same name
11 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.
In this repository11 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- develop-featureSkill
- diagnoseSkill
- fix-bugSkill
- grillSkill
- plan-changeSkill
- praxflow-embeddedSkill
- review-changeSkill
- traceSkill
- understand-projectSkill
The file
We split this skill into the rules it gives an agent
11 rules. 0 are common, 10 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 16 edited versions we read keep these.
10
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 26
Do not widen the scope merely because more files are available.
- Distinctive: line 30
Prefer low-cost structural evidence first:
- Distinctive: line 39
Use search rather than sequentially reading directories.
- Distinctive: line 70
Do not present a provisional inference as established architecture.
- Distinctive: line 74
Ask: which unknown, if resolved, would most change the next engineering decision?
- Distinctive: line 88
Stop when the map is sufficient for the current task.
- Very specific: line 90
If one behavior needs deeper reconstruction, use trace when available instead of widening the whole survey.
- Distinctive: line 95
read the entire repository by default.
- Distinctive: line 97
ask the user where code lives when you can search for it.
- Distinctive: line 98
treat directory names or README claims as authoritative when code evidence contradicts them.
- Distinctive: line 102
Keep the result compact unless the user explicitly asks for a full architecture assessment.
“Common” is measured: kept by at least 6 in 10 of the 16 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
Survey
Build a goal-directed provisional map of the project. Do not attempt to understand the whole repository unless the user's goal genuinely requires it.
Method
1. State the investigation goal
Translate the user's task into what you need to understand.
Examples:
- “fix first-request 401” → auth/session initialization and first authenticated request path;
- “add reconnect” → connection lifecycle, state machine, retry behavior, ownership;
- “review this migration” → changed schema, readers/writers, compatibility, rollback.
Do not widen the scope merely because more files are available.
2. Orient cheaply
Prefer low-cost structural evidence first:
- README and project docs relevant to the goal;
- top-level directories;
- build/package manifests;
- obvious entry points;
- tests near the target behavior;
- configuration and interfaces connected to the goal.
Use search rather than sequentially reading directories.
3. Locate likely boundaries
Identify the smallest set of components that plausibly participate in the target behavior.
Look for:
- entry points;
- ownership boundaries;
- module/service/process/thread boundaries;
- external dependencies;
- persistent state;
- public contracts;
- test seams;
- relevant project capabilities.
4. Build a provisional map
Separate what is observed from what is inferred.
A useful lightweight map may include:
Relevant areas
Current behavior model
Known constraints
Important unknowns
Recommended next investigationDo not present a provisional inference as established architecture.
5. Identify high-value unknowns
Ask: which unknown, if resolved, would most change the next engineering decision?
Prefer unknowns about:
- lifecycle or ownership;
- state transitions;
- data/control flow;
- interfaces and compatibility;
- concurrency/async boundaries;
- error paths;
- verification path.
6. Stop or deepen selectively
Stop when the map is sufficient for the current task.
If one behavior needs deeper reconstruction, use trace when available instead of widening the whole survey.
Do not
- summarize every directory;
- read the entire repository by default;
- generate an architecture document just because you inspected the project;
- ask the user where code lives when you can search for it;
- treat directory names or README claims as authoritative when code evidence contradicts them.
Output
Keep the result compact unless the user explicitly asks for a full architecture assessment.
Prefer:
## Relevant areas
...
## Working model
...
## Constraints / evidence
...
## Unknowns
...
## Next investigation
...The working model is allowed to be incomplete. Make important uncertainty visible rather than filling gaps with guesses.
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.

