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A lightweight loop harness for Codex, Claude Code and Antigravity where the agent must leave real evidence artifacts for each piece of work before claiming it is done.

A Claude Code skill that enables any Claude model to exhibit Fable 5-grade work discipline through plan-gating, self-verification, and sub-agent routing mechanisms.

A local plugin that opens a browser UI when the agent finishes a plan so you can strike, replace, insert or comment, then approve or send structured feedback back.

A Claude Code sub-agent and custom commands implementing the RIPER-5 workflow (Research, Innovate, Plan, Execute, Review) for structured development.

Skills for agentic coding CLIs that store project direction, next tasks, and a definition of done in the repo so the agent works against them and verifies results.

This Claude Code plugin acts as an intelligent harness for development workflows, ensuring changes pass through a "Write Gate" and tracking project history to align Claude with architectural preferences.

This plugin enables AI coding agents like Claude Code and Cursor to follow project architecture, rules, and plans by providing Git-native context for spec-driven development.

This framework enables AI agents to deliver verified, tested code automatically using a TypeScript orchestrator and Specification-Driven Development.

This plugin provides a structured "Plan, Go, Close" workflow with quality gates for AI coding sessions, ensuring agents follow plans and verify changes.

This Claude Code plugin orchestrates a complete AI-native development workflow, from PRD generation and screen specifications to parallel implementation, quality analysis, and verified commits using 11 specialized agents.

This plugin for OpenAI Codex provides development discipline, structured workflows (PABCD), and multi-model subagents, offering 13 specialized dev skills and orchestration for a disciplined development environment.

This plugin provides a comprehensive Outline-Driven Development methodology for Claude Code, featuring a large skill library and AST-based editing.

This repo-native protocol enforces a research-plan-code discipline for AI coding agents to reduce wrong implementations and improve decision-making.

This skill and subagent pack helps AI coding agents set up and manage guardrailed agentic loops, preventing infinite runs and token waste.

This collection provides portable AI agent skills and plugins, including the MSW Kernel for Minimum Sufficient Work, to optimize agent workflows.

This Claude Code plugin helps users stay present in AI-driven workflows by ensuring human decision-making is integrated into the process.

Provides an installable AI coding workflow for agents like Claude Code and Cursor, focusing on risk-based routing, scoped sub-agents, and evidence-backed completion.

This Claude Code plugin enables autonomous software development through a six-phase workflow (Explore, Research, Plan, Act, Validate, Compound) with classifier-driven routing and a self-improving memory system.

Provides a governance framework for AI-assisted software development, orchestrating development cycles, defining phases, and ensuring security audits with a layman mode.

A Cursor ruleset for local, visualizable task management, helping AI agents break down and meticulously log complex tasks.