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Review code changes and return prioritized, actionable findings
Tag, publish to PyPI, and create GitHub release for Kon with validation and rollback-safe steps
E2E testing of kon using tmux sessions; IMPORTANT: only trigger this skill when user asks for e2e testing of kon
| name | init |
| description | Create or update AGENTS.md for this repository |
| register_cmd | true |
| cmd_info | guided AGENTS.md setup |
Create or update AGENTS.md for this repository.
The goal is a compact instruction file that helps future Kon sessions avoid mistakes and ramp up quickly. Every line should answer: "Would an agent likely miss this without help?" If not, leave it out.
User-provided focus or constraints (honor these): $ARGUMENTS
Read the highest-value sources first:
README*, root manifests, workspace config, lockfilesAGENTS.md, CLAUDE.md, .cursor/rules/, .cursorrules, .github/copilot-instructions.md)If architecture is still unclear after reading config and docs, inspect a small number of representative code files to find the real entrypoints, package boundaries, and execution flow. Prefer reading the files that explain how the system is wired together over random leaf files.
Prefer executable sources of truth over prose. If docs conflict with config or scripts, trust the executable source and only keep what you can verify.
Look for the highest-signal facts for an agent working in this repo:
lint -> typecheck -> testGood AGENTS.md content is usually hard-earned context that took reading multiple files to infer.
Only ask the user questions if the repo cannot answer something important. Use the question tool for one short batch at most.
Good questions:
Do not ask about anything the repo already makes clear.
Include only high-signal, repo-specific guidance such as:
Exclude:
When in doubt, omit.
Prefer short sections and bullets. If the repo is simple, keep the file simple. If the repo is large, summarize the few structural facts that actually change how an agent should work.
If AGENTS.md already exists, improve it in place rather than rewriting blindly. Preserve verified useful guidance, delete fluff or stale claims, and reconcile it with the current codebase.