superpowers

Addy Osmani's production-grade engineering skills for AI coding agents — 21 skills covering the full software development lifecycle: spec-driven-development, source-driven-development, context-engineering, idea-refine, incremental-implementation, test-driven-development, code-review-and-quality, code-simplification, security-and-hardening, debugging-and-error-recovery, performance-optimization, api-and-interface-design, frontend-ui-engineering, browser-testing-with-devtools, ci-cd-and-automation, deprecation-and-migration, documentation-and-adrs, git-workflow-and-versioning, planning-and-task-breakdown, shipping-and-launch, using-agent-skills. Vendored snapshot at third-party/addy-agent-skills/ pinned to upstream SHA 742dca5 (v1.0.0).

Multi-agent orchestration system for Claude Code — 38 skills + 19 agents covering audit, plan, build, verify, ship, release, retrospective, and ops. Includes ralph (autonomous PRD loop), release, ultrawork, ultraqa, team, trace, visual-verdict, debug, deep-dive, deep-interview, autopilot, autoresearch. Vendored snapshot at third-party/oh-my-claudecode/ pinned to upstream SHA aacde3e (v4.13.6). Heavy overlap with continuous-improvement /ralph and /superpowers — pick per task.

Agent teams, swarm coordination, Monitor streams, and worktree isolation. Wraps 4 swarm_* + 8 agent_* MCP tools (12 total) plus 6 topologies (hierarchical, mesh, hierarchical-mesh, ring, star, adaptive). Slash commands /swarm and /watch. Skills swarm-init and monitor-stream. Cherry-picked from ruvnet/ruflo monorepo (the other 31 plugins are explicitly out of scope). Vendored snapshot at third-party/ruflo-swarm/ pinned to upstream SHA addb5cd (v0.2.0). Activation note: assets reference unpinned npx @claude-flow/cli@latest — supply-chain risk inert until installed.

The persistent-memory and runtime-discipline layer for Claude Code. It remembers the corrections you already gave, grounds every edit in real facts before it lands, and — through the Mulahazah engine — turns each fix into a reusable instinct, so a lesson learned once is applied automatically next time with no re-teaching. Built on the 7 Laws of AI Agent Discipline (research, plan, verify, reflect, learn) and shipped as 28 bundled skills, instinct-aware hooks, an MCP toolset for recall and reflection, and a GitHub Action transcript linter that feeds real work history back into sharper instincts.

Claude Code that gets sharper every session: runtime discipline and instinct memory (the 7 Laws of AI Agent Discipline)