Packages reusable GitHub Copilot building blocks — agents, prompts, instructions, and skills — to make AI-assisted coding repeatable and standards-aligned for a team. Built around an RPI (Research, Plan, Implement) workflow in VS Code.
Packages Salesforce development workflows as on‑demand Agent Skills (SKILL.md, scripts, assets) that let AI assistants scaffold Apex/LWC, author Flows, run SOQL, and manage metadata and permission sets. Optimized for Agentforce Vibes and usable by any tool that supports the Agent Skills specification.
Unifies team email, chat, docs, tasks, CRM, calls and AI agents into a single workspace with bidirectional @-linking and a shared, exportable team memory.
Drives penetration testing from chat commands, orchestrating 100+ security tools through an MCP-native multi-agent engine on CloudWeGo Eino. Adds attack-chain graphs, risk scoring, and human-in-the-loop approval gates for authorized use.
Provides adaptive workflow steering rules for AI coding agents to guide development across Inception, Construction, and Operations phases. Includes opt-in extensions (security, testing), IDE/agent integrations (Cursor, Kiro, Amazon Q, Copilot, Claude), and human-in-the-loop approval points.
Provides a frontend-design skill plus 20 steering commands and curated anti-patterns to steer LLMs toward clearer, accessible UI designs. Designed to plug into AI harnesses (Cursor, Claude/Gemini CLI, code agents) for auditing, critiquing, and polishing interfaces.
Combines a vector store, Cypher-style graph queries, and on-device LLM inference in one Rust engine, with a graph neural network that reranks results and adapts to query patterns in under a millisecond. Services ship as self-contained .rvf containers.
Agent-first development platform: spawn autonomous agents that plan, edit, run terminals, and drive a browser to verify their own work, returning reviewable artifacts like plans and screenshots. Defaults to Gemini 3 Pro; also runs Claude and GPT-OSS.
Wraps LangGraph in an opinionated harness giving an agent planning, file read/write, sub-agent delegation, and persistent memory out of the box. Aimed at long-horizon work where plain ReAct loops exhaust their context window.
Self-hosted personal AI assistant reachable through 20+ messaging channels you already use — WhatsApp, Telegram, Slack, iMessage and more. A local gateway acts as the control plane, stays model-agnostic, and sandboxes tool runs via Docker or SSH.
Packages Hugging Face ML tasks—dataset creation, model training, evaluation, Hub ops, Spaces deployment—as portable Agent Skills. Each is a SKILL.md folder agents load on demand, running unchanged across Claude Code, Codex, Gemini CLI, and Cursor.
Catalogs reusable Agent Skills for Codex — folders of instructions, scripts, and resources an agent loads to perform specific tasks. Tiers: .system (ships with Codex), .curated, and .experimental. Now deprecated in favor of OpenAI plugins.