explore
Skill8 starsChanged 3 months agoMITView on GitHub
Deep codebase research in isolated context — investigate a question thoroughly without cluttering the main conversation
67 other projects use a version of this.
Adopted by
Most recently taken up by
- jskswamy/skillstheir own version, first seen Nov 8, 2026
- NemesLaszlo/claude-code-harnesstheir own version, first seen Nov 8, 2026
- yuri-xyz/skillstheir own version, first seen Nov 8, 2026
- edwinidrus/dragonhoardtheir own version, first seen Nov 8, 2026
- matthewwong525/WongStacktheir own version, first seen Nov 8, 2026
- lumpcode/lumpcodetheir own version, first seen Nov 6, 2026
Used with
Projects with it also use agent-context-isolation, agentica-infrastructure 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.
parcadeiSkillagent-context-isolation
Agent Context Isolation
Also in 3 projects that use this
- parcadeiSkill
agentica-infrastructure
Reference guide for Agentica multi-agent infrastructure APIs
Also in 3 projects that use this
- +10 more from parcadei
Other versions67 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 67
- parcadei/Continuous-Claude★ 3.9ksame name
- parcadei/Continuous-Claude-v2★ 3.9ksame name
- parcadei/Continuous-Claude-v3★ 3.9ksame name
- JordanCoin/codemap★ 710same name
- ZimoLiao/scholaraio★ 585same name
- strands-agents/box★ 503same name
- andreasmolnardev/dashwise-next★ 465same name
- ai-analyst-lab/ai-analyst★ 304same name
- striderZA/OpenCodeGameStudios★ 118same name
- exmergo/dex★ 116same name
57 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 repository15 other files it gives its agents.
- AGENTS.mdAGENTS.md
- instructions/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- featureSkill
- find-sessionSkill
- fix-ciSkill
- humanizerSkill
- kauffj-voiceSkill
- proposeSkill
- review-prSkill
- review-securitySkill
- review-simplicitySkill
- review-uiSkill
- workspaceSkill
- writingSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 58 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 15
Treat the text supplied with the invocation as the question.
“Common” is measured: kept by at least 6 in 10 of the 58 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
Deep Codebase Exploration
Delegate the investigation to an available exploration subagent so its working context stays isolated. If this skill is already running in such a subagent, continue there. If delegation is unavailable, investigate in the current context and report that limitation.
Be thorough — check multiple files, trace call chains, read tests, and look at git history when relevant.
Treat the text supplied with the invocation as the question.
Approach
- Understand the question — what specifically needs to be answered?
- Find entry points — search for relevant files, functions, types, routes
- Trace the chain — follow imports, function calls, data flow
- Check edges — look at tests, error handling, edge cases
- Check history — if relevant, look at recent git commits touching these areas
Output
Structure your findings as:
Answer
Direct answer to the question in 2-3 sentences.
Evidence
- File references with line numbers
- Code snippets that prove your answer
- Data flow diagrams if relevant (text-based)
Related
Anything surprising or noteworthy you found along the way that the user should know about, even if they didn't ask.
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.