ai-ready/SKILL.md
Scans a codebase structure, audits AI convention files, and creates or updates AGENTS.md with project-specific build commands, test patterns, and coding standards. Use when onboarding a project for AI agents, setting up AI instructions, after significant codebase changes, or to audit AI convention files like AGENTS.md or .cursorrules.
npx skillsauth add amir-yogev-gh/ai-workflows ai-readyInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Ensure a project is AI-ready by maintaining accurate AGENTS.md files.
Run /update to execute the full workflow. See skills/update.md for detailed steps.
Commands are in commands/.
/update → commands/update.md — Scan codebase, audit AI convention files, create or update AGENTS.md. Accepts optional arguments for targeted updates (e.g., a subdirectory or focus area).development
Pre-cycle Feature sizing workflow that assesses Features from Jira using T-shirt sizes (XS–XXL), produces per-team effort breakdowns (DEV, QE, UX, UI, DOCS), and writes results back to Jira. Accepts a single Feature or all Features in a Fix Version for batch sizing. Use when sizing Features for cycle planning, prioritizing a release backlog, or evaluating whether a Feature fits in a cycle. Activated by commands: /ingest, /assess, /apply.
development
AI-driven code review workflow that reviews uncommitted changes using a discoverable reviewer profile, presents findings for human decision, and iterates until approved. Supports --unattended for automated iteration. Use when reviewing code before commit or PR. Activated by commands: /start, /continue, /clean.
development
Bulk-triage unresolved Jira bugs with AI-driven recommendations and an interactive HTML report. Scan also loads recently resolved bugs for regression matching in analyze. Use when triaging a project backlog, prioritizing bug fixes, identifying candidates for automated fixing, or reviewing stale issues. For one bug in depth (no artifacts), use /assess. Activated by commands: /run, /start, /scan, /analyze, /report, and /assess.
testing
Deep review of an AI skill directory. Critically evaluates structure, clarity, completeness, and consistency of SKILL.md, skills/*.md, commands/*.md, and guidelines.md. Use when reviewing, auditing, or validating an AI workflow skill. Activated by commands: /review.