PlugMyPlugin

Browse plugins

6 plugins, each analyzed from its own files.

hookify

★ 896
anthropics

Hookify creates custom hooks to prevent unwanted behaviors by analyzing conversation patterns or explicit instructions, using simple markdown configuration files with regex pattern matching. It supports four hook events (PreToolUse, PostToolUse, UserPromptSubmit, Stop) and provides commands to generate rules, list configurations, and interactively manage hook behavior without requiring restarts.

4 commands · 1 agent · 1 skill · 4 hooks
Productivity free runs shell hooks
#hook-management#pattern-matching#behavior-prevention#markdown-config

pro-workflow

★ 802
rohitg00

Pro Workflow is a complete AI coding system with self-correcting memory, persistent SQLite-indexed research wikis, and an auto-research loop that learns from corrections across sessions. It provides 41 skills, 8 agents, 23 commands, and intelligent hooks that inject relevant knowledge and enforce quality gates without requiring API keys or external services.

23 commands · 8 agents · 41 skills · 21 hooks
Productivity free runs shell hooks
#self-correcting-memory#persistent-wikis#fts5-search#multi-agent

arscontexta

★ 552
agenticnotetaking

Ars Contexta generates a personalized knowledge management system through conversational setup, creating markdown vaults with wiki links, processing pipelines, automation hooks, and domain-native documentation—all derived from how you describe your thinking and work. The plugin provides 10 skills for extracting insights, finding connections, and maintaining your vault, plus a 6-phase pipeline that mirrors Cornell note-taking with a meta-cognitive layer for continuous system evolution.

1 agent · 10 skills · 3 hooks
Productivity free runs shell hooks
#knowledge-graph#agent-memory#personal-knowledge-management#conversational-derivation

octo

★ 353
nyldn

Octopus orchestrates code review, research, and development workflows across up to ten external LLM providers (Codex, Gemini, Copilot, Ollama, Qwen, OpenRouter, and others) alongside Claude, using consensus gates and multi-agent deliberation to catch blind spots before shipping. It bundles 50 commands, 58 reusable skills, 50 specialized personas, and persistent session memory to run autonomous pipelines from spec to delivery with quality checks at each phase.

50 commands · 50 agents · 58 skills · 27 hooks
Code Review free runs shell hooks
#multi-llm-orchestration#consensus-gates#code-review#autonomous-agents

engram

★ 91
nagisanzenin

Engram is a learning system that turns your AI assistant into an evidence-based tutor using first-principles Socratic questioning, blind-graded recall verification, and FSRS-based spaced repetition scheduling to ensure you retain knowledge. The plugin stores your learning state locally as plain JSON, works across six agentic platforms, and requires only Python 3 (no external APIs or accounts).

3 agents · 3 skills · 1 hook
Productivity free runs shell hooks
#spaced-repetition#socratic-tutoring#learning-engine#fsrs-scheduler

dev-flow

★ 29
alexei-led

dev-flow provides code review, automated fixes, commit management, and linting for development workflows through 2 agents and 6 skills integrated via hooks. It uses local tools (node, bash, python3) to run shell-based linting and code quality checks without external API dependencies.

2 agents · 6 skills · 6 hooks
Code Review free runs shell hooks
#code-review#linting#automated-fixes#git-commits