init-agent-context
Skill17 starsChanged 3 months agoNo licenceView on GitHub
Create or refresh a project's AGENTS.md, and CLAUDE.md for Claude Code, from repository evidence: what the project is, verified test and lint commands, source and test locations, conventions, and agent gotchas, kept short because it loads into every session. Use when a repository has no agent context file, the existing one is stale or wrong, or the user asks to set up agent instructions. Not for long human onboarding guides (use the onboard-to-codebase skill).
- Reads credentials
1 other project uses a version of this.
Adopted by
Most recently taken up by
- Indium-AI-Labs/indium-agentkitword for word, first seen Nov 1, 2026
Other versions1 project uses a version of this.
Word for word · 1
- Indium-AI-Labs/indium-agentkit★ 18100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
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 repository83 other files it gives its agents.
- AGENTS.mdAGENTS.md
- templates/AGENTS.mdAGENTS.md
- .github/copilot-instructions.mdCopilot instructions
- access-control-designSkill
- accessibility-auditSkill
- add-cachingSkill
- address-review-feedbackSkill
- analyze-dataSkill
- api-designSkill
- ast-manipulation-codemodsSkill
- author-agentkit-contentSkill
- backend-apiSkill
- background-jobs-and-queuesSkill
- browser-security-configSkill
- build-llm-featureSkill
- build-retrievalSkill
- ci-pipelineSkill
- compliance-auditSkill
- config-and-secretsSkill
- containerize-serviceSkill
- contract-testingSkill
- cryptographic-protocol-implementationSkill
- database-designSkill
- data-pipeline-designSkill
- data-retention-and-erasureSkill
- delegate-workSkill
- dependency-auditSkill
- deployment-safetySkill
- e2e-test-suiteSkill
- estimate-workSkill
- evaluate-new-dependencySkill
- event-sourcing-architectureSkill
- feature-flag-lifecycleSkill
- flaky-test-triageSkill
- frontend-shipSkill
- git-recoverySkill
- handle-file-uploadsSkill
- hardware-in-loop-testingSkill
- implement-authenticationSkill
- incident-triageSkill
- infrastructure-as-codeSkill
- infrastructure-reviewSkill
- internationalize-uiSkill
- kubernetes-workloadsSkill
- llm-eval-harnessSkill
- load-testing-suiteSkill
- local-llm-integrationSkill
- mcp-server-developmentSkill
- memory-leak-investigationSkill
- ml-model-developmentSkill
- mobile-featureSkill
- mobile-release-safetySkill
- multi-agent-workflow-designSkill
- observability-setupSkill
- onboard-to-codebaseSkill
- performance-optimizationSkill
- plan-changeSkill
- product-analyticsSkill
- production-data-fixSkill
- prototype-spikeSkill
- The first 60 shown.
The file
Show its rules and text
We split this skill into the rules it gives an agent
14 rules. About 0 are common, 11 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈11
Distinctive · estimate
This author's own choices. Worth a look.
3
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.