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gotalab/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, Gemini CLI, and Antigravity. observed · 2026-08-28

github.com/gotalab/cc-sdd · TypeScript · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

71/100

  • Activity 83
  • Release rhythm 79
  • Longevity 29
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 2
  • age_days: 412
  • days_rel: 142
  • days_push: 105
  • n_releases_24m: 18

Full methodology

Adoption not part of the score

3640 stars · 279 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

cc-sdd is an npm-distributed harness that installs a spec-driven development (SDD) workflow as 17 Agent Skills for AI coding agents like Claude Code, Codex, Cursor, Copilot, Windsurf, OpenCode, Gemini CLI, and Antigravity. It turns approved specs into long-running autonomous implementation with per-task TDD, independent review, and auto-debugging, inspired by Kiro IDE's spec-driven style.

Use cases

  • run spec-driven development with AI coding agents
  • turn approved specs into autonomous implementation
  • install agentic SDLC workflow skills for Claude Code
  • decompose a roadmap into multiple specs in parallel
  • run long-running TDD implementation with per-task review
  • migrate existing Kiro specs to other AI coding agents
  • orchestrate subagents for implementer and reviewer roles

When to choose

  • you use Claude Code, Codex, Cursor, or another supported AI coding agent and want a structured spec-to-implementation workflow
  • you want Kiro-style spec-driven development without switching IDEs
  • you need long-running autonomous task execution with independent review and auto-debugging
  • you manage multi-spec initiatives and want cross-spec contradiction checks

When to avoid

  • you prefer ad-hoc prompting over structured spec-driven workflows
  • you don't use any of the 8 supported AI coding agents
  • you need support for agents beyond the beta-supported list like Cursor or Gemini CLI in production-critical settings
  • you want a fully hands-off code generator without spec authoring and review discipline

Facets

cli-tool · maturity active

agent-framework prompt-engineering workflow-automation cli developer-tools developer-tools cli cross-platform spec-driven-development agent-skills kiro claude-code codex cursor gemini-cli github-copilot windsurf opencode subagents tdd agentic-sdlc sdd steering ai-agents automation command-line nodejs

2 sources

Member repositories

RepositoryRoleHealth v2
gotalab/cc-sddmain71

For agents

markdown · JSON · MCP: product_card(name="gotalab/cc-sdd")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem