v0.1.5462 · Apache-2.0
Soul-bound workflow roles for Pi
— · MIT
Official plugin distribution for the hosted Zapier MCP server. Install it in your AI client and connect to thousands of apps.
v3.0.0 · MIT
RFC-driven development for AI coding agents: idea or existing codebase → verified PRD → features → rules → sequenced RFCs → reviewed code. Agent Skills for Claude Code, Codex, Copilot, Cursor, Gemini CLI, OpenCode, Devin.
v5.6.0 · MIT
Multi-agent orchestration system for Claude Code - Inspired by oh-my-opencode
v1.5.0 · Apache-2.0
Universal skills loader for AI coding agents - install and load Anthropic SKILL.md format skills in any agent
v6.5.0 · Apache-2.0
Flow Agents keeps coding agents on track with evidence-backed workflows — a Kontour product that applies Flow and Veritas process discipline as a portable layer inside the agent tools you already use: Claude Code, Codex, Kiro, opencode, and pi — with fram
v2.1.0 · Apache-2.0
A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.
v2.1.3 · MIT
The agentic meta-harness — freeze the model, evolve the harness. An open runtime that routes each query to the cost-optimal model, evolves its own harness (planner/context/reviewer/retry/tool/memory/score policy) and autonomously repairs code, then orches
— · BUSL-1.1
An autonomous software factory that knows what it is supposed to deliver, and proves it did.
v0.22.0 · MIT
Idea-to-store harness for Flutter/Flame games
v3.4.0 · MIT
Project continuity for Claude Code and Codex: a roadmap beside your code, grounded handoffs, and clear task status.
v0.1.4 · MIT
Fable-style verification gate for Claude Code: don't say done until it's verified. Port of the Codex plugin by Agent Korea (플라잉따릉이).
— · MIT
One command to cut token usage by up to 50%+
— · MIT
Opinionated AI coding agent and dev environment automation for macOS
v0.28.1 · MIT
Train your AI coders the way you'd train a vine — discover your codebase's actual patterns, then encode them as Claude Code rules, skills, agents, hooks, and a guided pipeline so generated code lands inside your conventions on the first try, not the fifth.
v0.3.0 · MIT
Claude Code plugin for autonomous AI research — multi-agent loops take a bare topic all the way to running experiments, with no human-written experimental code.
v1.2.0 · MIT
SRE thinking applied to Claude Code, based on Boris Cherny's Q&A. It enforces a strict 4-stage pipeline with gates between each step. You literally cannot skip verification. You cannot ship without approval.
v0.2.1 · MIT
Claude Code plugin that implements code from /deep-plan sections with TDD, code review, and git workflow