implement
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.
The canonical home for this skill is implement in flightctl/ai-workflows
Implement Workflow Orchestrator
Quick Start
- If the user invoked a specific command (e.g.,
/plan,/code), read the matching file in commands/ and follow it. - Otherwise, read
skills/controller.mdto load the workflow controller:- If the user provided a Jira issue key or URL, execute the
/ingestphase - Otherwise, execute the first phase the user requests
- If the user provided a Jira issue key or URL, execute the
If 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.
- Repository
- amir-yogev-gh/ai-workflows
- Commit
2bd6607
- Last updated
- First committed
Canonical home
since Sep 11, 2026
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.