v0.4.9 · MIT
Telegram messenger bridge for DeepSeek Harness: sessions, steer, homes, inline asks, notify bridge, and optional TTS voice notes.
v0.4.19 · MIT
你的随身 AI 剪辑搭档 | Pocket AI co-editor for video montage — AI video editing plugin & MCP server for Claude Code, Codex, Hermes & OpenCode
— · MIT
Wassette: A security-oriented runtime that runs WebAssembly Components via MCP
— · MIT
A repository for skills that are essential to my daily work
v1.0.0 · no license
Maryland property-assessment fairness checks vs similar homes, with appeal windows and links.
v0.2.0 · MIT
Claude Code plugin for Symfony 7.4 LTS & 8.x — 44 skills, 7 AI subagents & 13 commands for API Platform v4, Doctrine ORM 3, TDD (Pest/PHPUnit), Messenger, security & DDD.
— · MIT
Rigor Setup skill for README-first deep learning repo reproduction. Use when the task is specifically to prepare a conservative conda-first environment, checkpoint and dataset path assumptions, cache location hints, and setup notes before any run on a README-documented repository. Do not use for rep
— · Apache-2.0
This project equips Claude Code with advanced binary analysis capabilities for tasks such as incident response, malware investigation, and vulnerability assessment
— · Unlicense
All-in-one workflow plugin—loops, swarms, and teams on Claude Code's Task System. All enforce exit criteria—swarm is faster with parallel queue execution, teams add contract-first coordination. Plan your way, execute your way. Optional: Beads for persistent memory, Ralph TUI for dashboard.
v1.5.0 · no license
Search vehicles, real estate and jobs; manage your listings, alerts, enquiries and viewings.
v0.9.0 · no license
Company intelligence for AI agents: a five-layer domain dossier in one sniff_domain call.
— · Apache-2.0
Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".
— · Apache-2.0
Write a Conventional Commits message compressed to intent only. Use for "write a commit", "commit message", /commit or /caveman-commit.
— · Apache-2.0
Compressed code review - one line per finding with location, problem and fix. Use for /caveman-review, "review this PR", or "review the diff".
— · Apache-2.0
When to delegate to `cavecrew-investigator` (locate code), `cavecrew-builder` (1-2 file edit) or `cavecrew-reviewer` (diff review) instead of working inline or using `Explore`. Their output is compressed, so main context lasts longer.
v0.2.0 · MIT
Point Claude at any game. Skills, tools and the fal MCP that let Claude Code mod almost any PC game you own: recon, reverse engineering, fal-generated art/3D/audio, in-game testing, showcase videos.
v1.1.1 · MIT
A Model Context Protocol server for Excel file manipulation
v0.3.1 · MIT
Strategic BDI reasoning engine for autonomous AI agents — goal decomposition, utility scoring, risk evaluation, and reactive replanning over PuterVision memory and world models.
v3.1.0 · MIT
Reverse engineer anything with agents, from app behavior down to native binaries.
v0.42.0 · Apache-2.0
Agentic Version Control System — an AI-native VCS where intent, session, operation, evidence and decision are first-class objects and code is a materialized projection of an operation graph.
v3.1.0 · MIT
Reverse engineer anything with agents, from app behavior down to native binaries.
— · MIT
Stop your AI from making things up — it proposes, deterministic tools decide, every claim checked against ground truth with evidence. Grounded facts and context survive resets. Reverse engineering is the proving ground. MCP server + CLI.
v2.5.0-preview.58 · Apache-2.0
AI Agent Network CLI — Local-first multi-agent orchestration across 6 runtimes (Claude Code CLI / Claude Agent SDK / Codex SDK / Codex app-server / Grok Build ACP / OpenCode CLI) and 8+ LLM providers. Apache 2.0.
— · MIT
Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved preferences.