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πPlugins19
AgentSys is a modular runtime and orchestration system for AI agents, providing skill installation, versioning, and execution as lightweight containerized modules across multiple AI coding assistants.
A 10-phase structured performance investigation skill with baselines, profiling, hypothesis testing, and evidence-backed optimization decisions, part of the AgentSys orchestration system.
Quality gates then ship - chains /prepare-delivery then /ship in one command
Complete PR workflow: commit to production, skips review when called from next-task, removes task from registry on cleanup, automatic rollback
Multi-agent iterative code review until zero issues remain
Master enhancement orchestrator: parallel analyzer execution for plugins, agents, docs, CLAUDE.md, and prompts with unified reporting
Standalone documentation sync: find outdated refs, update CHANGELOG, flag stale examples based on code changes
Research topics online and create comprehensive learning guides with RAG-optimized indexes
Cross-tool AI consultation: get second opinions from Gemini CLI, Codex CLI, Claude Code, OpenCode, or Copilot CLI with model and thinking effort control
Learn from workflow patterns across sessions and suggest skills, hooks, and agents to automate repetitive work
Lint agent configuration files (SKILL.md, CLAUDE.md, hooks, MCP) against 385 rules across 10+ AI tools
Structured multi-round debate between AI tools with proposer/challenger roles and verdict
Browser automation and web testing toolkit for AI agents - headless browser control, persistent sessions, auth handoff, and prompt injection defense
Pre-ship quality gates: deslop, simplify, agnix, enhance, review loop, delivery validation, docs sync
3-phase AI slop detection: regex patterns (HIGH), multi-pass analyzers (MEDIUM), CLI tools (LOW)
Find where to contribute to any project - matches developer skills to test gaps, stale docs, bugspots, and open issues
Unified static analysis via agent-analyzer - git history, AST symbols, project metadata, and doc-code sync
Codebase onboarding - automated data collection and interactive project orientation
Deep repository analysis to realign project plans with code reality - detects drift, gaps, and creates prioritized reconstruction plans