Spec-driven development plugin for Claude Code. SpecManager gives you an agile AI team that takes a feature from interview → PRD → Architecture → Design → Plan → Build → Walkthrough.

A Claude Code plugin that iteratively refines product specifications by debating between multiple LLMs until all models reach consensus.

A Claude Code plugin for managing requirement documents, tracking changes, and outputting specs — enabling downstream tools to generate code based on high-quality specs and complete E2E testing.

Specification-driven workflow system for AI-assisted development - break large projects into manageable 2-4 hour sessions with 15-30 tasks each.

Action guardrails for AI coding agents — native Claude Code enforcement, MCP integrations, and Git/CI checks.

A Claude Code plugin that provides a conversational, adaptive, and agentic subagent for co-creating rigorous, multi-perspective technical specs—featuring dynamic memory graphs, adaptive workflows, and explicit multi-role analysis. Especially useful for non-technical users and teams adopting the Spec Kit Methodology.

Repeatable agentic engineering. The workflow layer that turns AI coding agents into a disciplined factory: durable specs, fresh-context workers, adversarial cross-model reviews, receipts. Everything in your repo, zero dependencies. Claude Code · Codex · Cursor · Droid.

GSD Core is a meta-prompting, context engineering, and spec-driven development system for AI coding agents.

Spec-driven development with smart compaction. Claude Code plugin combining Ralph Wiggum loop with structured specification workflow.

A Claude Code plugin that reverse-engineers clean behavioral specs, test vectors, and acceptance criteria from any codebase, producing a provenance trail so a fresh team can reimplement without inheriting the original's internal structure.

Disciplined Agentic Engineering — a methodology kit for Claude Code: acceptance-test-first specs, explicit checkpoints, and autonomy you can actually leave running. The engineer, atdd and crap-analyzer plugins.

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.

Spec-driven development and context engineering for Claude Code, Cursor, Codex, and GitHub Copilot — backed by project context in Git.

Spec-driven development framework — AI agents that think before they type

205 production GTM agent skills for Claude Code — sales, outbound, prospecting, RevOps, ABM, PLG, CS, automation. Framework-cited playbooks with artifacts + QA scripts.

Full-cycle delivery pipeline for coding agents: a mandatory built-in intake grill, then 10 gated stages (docs, brainstorm+decompose, spec, plan, build, tests, lint/deploy, post-deploy, docs/wiki, acceptance). Every stage's doctrine ships inside the skill

Spec-driven development (SDD) plugin for Claude Code — a collection of specialized AI agents, phased implementation plans, and verified code generation for full-stack teams

Planu — MCP Server for Spec Driven Development. Cross-platform (Linux/macOS/Windows, x64/arm64).

SpecStory's official collection of agent skills. Summarize, organize and create with `.specstory/history`

Claude Code plugin that asks several AI coding agents the same question and shows their answers side by side. Gemini, OpenAI, Grok, Perplexity and Kimi over API; codex, antigravity, grok and kimi CLIs on subscription auth; ollama locally.

A Claude Code plugin that interviews you, designs the whole architecture, and writes a self-contained blueprint another Claude Code instance builds from with zero context — EARS acceptance criteria and a runnable verify command on every build step. 14 project shapes, greenfield and brownfield. EN/ES.

AI-powered multi-agent code review. Simulates a customizable team of Engineers performing code review with built-in discourse.

Linked-Intent Development - a SDD methodology for agentic coding

Autonomous development plugin for Claude Code. Define requirements with a PM, then let parallel workers implement everything using TDD.