repo-recon
Skill14 starsChanged 16 days agoNo licenceView on GitHub
Use this skill when you need to map an unfamiliar codebase before changing anything. Runs a systematic five-step recon pass — read the map, learn the commands, trace one flow end-to-end, note conventions then match them, and write it down — so you understand architecture, build/test commands, and code conventions before making a single edit. Prevents broken builds, misfiled changes, and convention-violating PRs caused by search-before-assuming. Activates on "where do I start", "understand this codebase", "how do I build/test this", "what are the conventions here", and first-time work in any repository.
- Installs packages
2 other projects use a version of this.
Adopted by
Most recently taken up by
- gonun13/agent-skillstheir own version, first seen Sep 5, 2026
- coffee-man666/dsh-lenstheir own version, first seen Aug 24, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- coffee-man666/dsh-lens★ 0same name
- gonun13/agent-skills★ 0same name
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 repository69 other files it gives its agents.
- api-and-interface-designSkill
- api-design-firstSkill
- graphql-api-developmentSkill
- har-api-reverse-engineeringSkill
- image-to-image-character-generationSkill
- kie-ai-platformSkill
- n8n-api-shapeSkill
- social-har-api-connectivitySkill
- app-discovery-scrutinySkill
- enterprise-consulting-methodsSkill
- linear-project-managementSkill
- clean-pro-review-gatesSkill
- code-review-and-qualitySkill
- code-reviewSkill
- code-simplificationSkill
- debugging-and-error-recoverySkill
- data-privacy-complianceSkill
- fsi-compliance-checkerSkill
- privacy-complianceSkill
- data-analysisSkill
- database-schema-designerSkill
- dbt-data-transformationSkill
- exploratory-data-analysisSkill
- anti-over-engineeringSkill
- app-scaffoldingSkill
- finding-unknownsSkill
- hermes-bot-team-designSkill
- joerg-instruction-executionSkill
- mattpocock-dev-workflowsSkill
- model-routing-cost-optimizerSkill
- nodejs-developmentSkill
- safe-refactorSkill
- telegram-topics-pipelineSkill
- ci-cd-and-automationSkill
- ci-cd-pipeline-generatorSkill
- infrastructure-as-code-guardianSkill
- kubernetes-operationsSkill
- maintenanceSkill
- observability-engineeringSkill
- performance-optimizationSkill
- production-engineering-workflowsSkill
- sre-runbooksSkill
- documentation-and-adrsSkill
- document-processingSkill
- read-x-articlesSkill
- spec-writerSkill
- technical-documentationSkill
- accessibility-compliance-auditSkill
- design-to-codeSkill
- frontend-ui-engineeringSkill
- git-workflow-and-versioningSkill
- git-workflow-automationSkill
- release-managementSkill
- agent-n-video-pipelineSkill
- astra-campaignSkill
- betterlife-image-generationSkill
- local-video-production-m5Skill
- openmontageSkill
- browser-automationSkill
- browser-testing-with-devtoolsSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
12 rules. About 0 are common, 8 are distinctive, and 4 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈8
Distinctive · estimate
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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.