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A collection of Markdown 'skills' that convert LLM-based agents into specialists for French administrative workflows — accounting, taxes, invoicing, notary work and audits. Ships agent-agnostic skills, Qonto/Stripe connectors, FEC output and 2026 e-invoicing guidance.
Generates complete Godot 4 projects from a natural-language game description: it designs the architecture, generates assets, writes C# code, runs the project, captures screenshots for visual QA, and iterates until a runnable game repo is produced. Requires API keys and Godot .NET.
Creates human-directed teams of AI agents (via GitHub Copilot) that live in your repo, persist knowledge, and coordinate development work. Key features: repo-first persistence, watch/triage automation, and an extensible CLI/SDK — alpha software, Copilot-dependent.
Turns natural-language directions into end-to-end video editing workflows: LLM-powered planning, media search/organization, ASR rough-cut, and reusable Style Skills for consistent storytelling. Integrates agent Skills (OpenClaw/Claude Code) and optional AIGC transitions.
A TypeScript framework for building programmable, headless autonomous agents with a harness-centric runtime. Includes an SDK and CLI, virtual sandboxes (just-bash) with optional full container sandboxes, provider-agnostic model settings, and connectors for CI/Daytona/MCP—suited for deployable agent runtimes.
Provides cross-platform semantic memory for AI coding agents by turning human-editable Markdown logs into a rebuildable Milvus “shadow” index and syncing memories across plugins (Claude Code, OpenClaw, OpenCode, Codex). Supports progressive retrieval, hybrid dense+BM25+RRF search, smart deduplication, live sync, and local ONNX embeddings.
Autonomous white-box AI pentester for web apps and APIs. It reads your source code, maps the running app, then runs specialized agents that fire real proof-of-concept exploits for injection, XSS, SSRF, and auth flaws — reporting only what it can exploit.
Runs a persistent, self-modifying AI agent locally with durable identity, memory, and versioned history across tasks. Provides native desktop and headless CLI runtimes, coordinated subagent swarms, configurable remote or local GGUF models, and reviewed self-evolution via Git.
Turns authorized ad-account exports or reads into dated, source-grounded audits, channel and budget plans, creative briefs, experiments, monitoring, and versioned JSON reports. Read-only by default; supports twelve ad platforms and drafts safe account changes behind capability, verification, and rollback gates.
Desktop AI agent that automates tasks against your real working environment—local files, terminals, browser workflows, slides/docs, data analysis and scheduled jobs. It pairs a local app layer (sessions, permissions, SQLite persistence) with the OpenClaw runtime to run multi-agent workflows, built-in skills, MCP integrations, and IM remote control (WeChat, Feishu, Telegram, etc.).
Turns a single Claude Code session into a coordinated game-development studio by providing 49 specialized AI agents, 72 slash-command skills, automated hooks and path-scoped rules. Includes tiered roles, engine-specific agent sets (Godot/Unity/Unreal) and templates to keep design, QA and release in sync.
Encodes production-grade engineering workflows (spec, plan, build, test, review, ship) as reusable "skills" so AI coding agents follow consistent development practices. Packaged as per-skill SKILL.md files and slash commands for integration with agents and CLIs. Suited for teams embedding engineering guardrails into agent-driven dev workflows.