cc-sdd

cc-sdd: Long-running spec-driven implementation for AI coding agents

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Turn approved specs into long-running autonomous implementation

One command installs an agentic SDLC workflow as Agent Skills: discovery, requirements, design, tasks, and autonomous implementation with per-task independent review on hosts with native subagents. Works across 8 AI coding agents, with the same 17-skill set on each.

👻 Kiro-inspired. Similar spec-driven, agentic SDLC style as Kiro IDE. Existing Kiro specs remain compatible and portable.

What's new in v3.0

cc-sdd v3.0 is a rework around Agent Skills and long-running autonomous implementation.

- /kiro-discovery as the new entry point. Discovery routes new work into one of: extend an existing spec, implement directly with no spec, create one new spec, decompose into multiple specs, or mixed decomposition. It writes brief.md and, when needed, roadmap.md, so you can resume a workstream without re-explaining scope.
- /kiro-impl for long-running autonomous implementation. When native subagents are available, each task gets a fresh implementer running TDD (RED → GREEN) behind a feature flag, an independent reviewer, and an auto-debug pass when blocked or after repeated review rejection. Otherwise, implementation and review run inline. Learnings propagate via ## Implementation Notes in tasks.md. Each iteration handles one task; recorded task state supports resumption after checking unfinished work and active workers.
- Boundary-first spec discipline. design.md now includes a File Structure Plan that drives task boundaries. Tasks carry _Boundary:_ and _Depends:_ annotations. Review and validation look for boundary violations, not just style issues.
- /kiro-spec-batch for multi-spec initiatives. Turn a…