policy-algebra
๐ฏSkillfrom camacho/ai-skills
|Generates frozen, drift-checkable Starlark governance rule blocks from intent strings or plan files, with adaptive deep/shallow interview modes and a --verify command for canonicalized drift detection against candidates.
Same repository
camacho/ai-skills(27 items)
Installation
npx vibeindex add camacho/ai-skills --skill policy-algebranpx skills add camacho/ai-skills --skill policy-algebra~/.claude/skills/policy-algebra/SKILL.mdSKILL.md
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An individual skill from the camacho/ai-skills collection, a set of AI skills for Claude Code and Codex installable via npx skills, with each skill providing focused instructions for specific development tasks.
An individual skill from the camacho/ai-skills collection, a set of AI skills for Claude Code and Codex installable via npx skills, with each skill providing focused instructions for specific development tasks.
An individual skill from the camacho/ai-skills collection, a set of AI skills for Claude Code and Codex installable via npx skills, with each skill providing focused instructions for specific development tasks.
An individual skill from the camacho/ai-skills collection, a set of AI skills for Claude Code and Codex installable via npx skills, with each skill providing focused instructions for specific development tasks.
An individual skill from the camacho/ai-skills collection, a set of AI skills for Claude Code and Codex installable via npx skills, with each skill providing focused instructions for specific development tasks.
A post-task review and memory extraction skill from a collection of AI skills for Claude Code and Codex. Part of a toolkit that includes validation, context reconstruction, and project naming capabilities, all installable via npx skills.
Part of a collection of AI skills for Claude Code and Codex that includes validation, post-task reflection, context reconstruction after /clear, and project naming. All skills are installed via npx skills with SKILL.md frontmatter discovery.
Reconstructs conversation context after a /clear command or session resume, helping AI agents quickly regain awareness of what was being worked on without the user needing to re-explain the project state.
Runs full project validation including typechecking, linting, formatting, testing, and optional build steps to ensure code quality before commits or deployments.
Creates high-quality skills by running three competing parallel approaches (skill-creator, superpowers, and manual), comparing results on five dimensions, then synthesizing the best elements into a final SKILL.md through a full 10-step workflow pipeline.