implement/SKILL.md
Story-to-code workflow that takes a Jira Story, plans the implementation, writes contract-based tests and production code via TDD, validates against the project's CI expectations, and manages review via GitHub PRs. Use when implementing Jira stories produced by the design workflow. Activated by commands: /ingest, /plan, /revise, /code, /validate, /publish, /respond.
npx skillsauth add amir-yogev-gh/ai-workflows implementInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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/plan, /code), read
commands/{command}.md and follow it.skills/controller.md to load the workflow controller:
/ingest phaseIf a step fails or produces unexpected output (e.g., Jira MCP errors, test failures, build errors), stop and report the error to the user. Do not advance to the next phase. Offer to retry the failed step or escalate.
For principles, hard limits, safety, quality, and escalation rules, see guidelines.md.
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.