blakecyze/kanso

blakecyze/kanso

Skill Claude CodeCodex

Part of kanso

Use when the user asks for a code review, audit, pre-PR check, quality sweep, or pattern analysis of a diff, branch, module, or codebase. Also use when the user asks to "check" or "look over" their code for issues.

blakecyze/kanso

Skill Claude CodeCodex

Part of kanso

Use when the user asks to commit changes, stage their work, write commit messages, or split the working tree into logical commits.

blakecyze/kanso

Skill Claude CodeCodex

Part of kanso

Use when the user asks to update, prune, audit, or create AGENTS.md, CLAUDE.md, or other agent context files. Also use when the user says their AI agents keep making the same mistakes and they want to fix it at the context level.

blakecyze/kanso

Skill Claude CodeCodex

Part of kanso

Use when the user asks for a nuclear review, a thermonuclear audit, a deep maintainability sweep, a structural audit of the whole codebase, or a "harsh" pass on a branch. Stricter and more structural than /kanso-audit.

blakecyze/kanso

Skill Claude CodeCodex

Part of kanso

Use when the user asks to write a pull request description, open a PR, draft PR notes, or summarise a branch for review.

blakecyze/kanso

Skill Claude CodeCodex

Part of kanso

Use when generating, reviewing, modifying, or discussing any code. Sets standing anti-dilution rules for all code-related work. Auto-loads; not directly invoked by the user.

blakecyze/kanso

Skill Claude CodeCodex

Part of kanso

Use when rewriting, sharpening, or producing a prompt for Claude or another current frontier model. Sets standing rules for getting better LLM output through better prompts. Loaded by /kanso-task; not directly invoked by the user.

blakecyze/kanso

Skill Claude CodeCodex

Part of kanso

Use when the user asks to clean up, tighten, simplify, de-bloat, de-slop, or refactor code. Also use when acting on findings from /kanso-audit or /kanso-nuclear. Behaviour-preserving only.

blakecyze/kanso

Skill Claude CodeCodex

Part of kanso

Use when the user wants a task done well rather than fast, wants a rough or underspecified request sharpened before it runs, or asks for a careful, principled pass at a piece of work.