Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Parallel campaign orchestrator. Runs multiple campaigns in coordinated waves within a single session. Spawns 2-3 agents per wave in isolated worktrees, collects discoveries, shares context between waves. Use when work decomposes into 3+ independent streams that can run simultaneously.
Meta-orchestrator that takes any direction — broad, specific, or vague — and autonomously chains skills and context into actionable work. Gathers context from codebase, docs, and memory. Only asks the user when it genuinely cannot proceed. Single-session orchestrator.
AI generation provenance and audit trail tracking. Records decision factors, data lineage, reasoning chains, confidence scoring, and cost tracking for AI-generated content.
Template-based AI prompt engine with YAML templates, brand kit injection, input sanitization for security, and token-efficient context blocks.
Multi-turn conversational AI for intent extraction, clarification, and generation readiness detection. Guides users through articulating creative intent with structured parameter extraction.
Build voice AI agents with LiveKit Agents SDK. Use when the user asks to "build a voice agent", "create a LiveKit agent", "add voice AI", "implement handoffs", "structure agent workflows", or is working with LiveKit Agents SDK. Covers both LiveKit Cloud and self-hosted deployments using lk CLI.
Effect-TS service and agent patterns for this repo. Use when implementing or modifying services in packages/mcp-server, adding agents, or following Effect.Service, Layer, and error-handling conventions.
Release a new version of the tapo-mcp crate (MCP server), versioned independently from the tapo libraries
Release a new version of the OpenClaw skill in `tapo-mcp/openclaw-skill/` by bumping its version, committing, and publishing via `npx clawhub`
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination