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Cc Sdd

Turn approved specs into long-running autonomous implementation. A minimal, adaptable SDD harness with Agent Skills for Claude Code, Codex, Cursor, Copilot, Windsurf, OpenCode,…

Install

$npx cc-sdd@latest
Claude Code
claude mcp add cc-sdd -- npx cc-sdd@latest
Cursor / Claude Desktop (mcp.json)
{
  "mcpServers": {
    "cc-sdd": {
      "command": "npx",
      "args": [
        "cc-sdd@latest"
      ]
    }
  }
}

Install command taken from the project's README or registry entry. Always review code before running it.

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

Package README: English | 日本語 | 繁體中文

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 roadmap into multiple specs by dependency wave, in parallel when native subagents are available, with cross-spec review to catch contradictions, duplicated responsibilities, and interface mismatches.
  • Agent Skills across 8 coding agents. 17 skills per install, loaded on demand (progressive disclosure). Claude Code and Codex are stable; Cursor, Copilot, Devin Local / CLI, OpenCode, Gemini CLI, and Antigravity are in beta. Native subagents are used when available; hosts without them execute sequentially with inline review.

Full skills-mode workflow and /kiro-impl internals: Skill Reference.

Upgrading from v1.x or v2.x? See the Migration Guide.

Why cc-sdd?

cc-sdd treats the spec as a contract between parts of the system, not a master command document handed to the agent. Code remains the source of truth. Specs make the boundaries between parts of the code explicit so humans and agents can work in parallel without constant synchronization.

The bet: explicit contracts at the right granularity let AI-driven development at team scale move faster, not slower. Agents write the spec, humans approve the contract at phase gates, code is what ships.

Boundaries are not overhead. They are what lets you move freely inside while protecting the outside.

Full rationale, trade-offs, and when-to-use / when-not-to-use: Why cc-sdd? A philosophy note.

Quick Start

cd your-project
npx cc-sdd@latest

The default installs Claude Code Skills with English docs. To pick another agent or language:

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