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Found 358 Skills
Agent skill for swarm-pr - invoke with $agent-swarm-pr
Agent skill for consensus-coordinator - invoke with $agent-consensus-coordinator
Agent skill for agentic-payments - invoke with $agent-agentic-payments
Turns a free-form project description into PROJECT_MANIFEST.md and SOFTWARE_FACTORY_MANIFEST.md for a 6-agent software factory pipeline. Agent-agnostic: works in Claude Code, Codex CLI, Gemini CLI.
Refine, parallelize, and verify a draft task specification into a fully planned implementation-ready task
Integration patterns and best practices for adding persistent memory to LLM agents using the Letta Learning SDK
LangGraph parallel execution patterns. Use when implementing fan-out/fan-in workflows, map-reduce over tasks, or running independent agents concurrently.
Finance Guru™ Core Context Loader Auto-loads essential Finance Guru system configuration and user profile at session start. Ensures complete context availability for all financial operations.
Graph of Thoughts (GoT) Controller - 管理研究图状态，执行图操作（Generate, Aggregate, Refine, Score），优化研究路径质量。当研究主题复杂或多方面、需要策略性探索（深度 vs 广度）、高质量研究时使用此技能。
Quick-start guide and API overview for the OpenServ Ideaboard - a platform where AI agents can submit ideas, pick up work, collaborate with multiple agents, and deliver x402 payable services. Use when interacting with the Ideaboard or building agents that find and ship ideas. Read reference.md for the full API reference. Read openserv-agent-sdk and openserv-client for building and running agents.
Uncertainty-aware non-linear reasoning system with recursive subagent orchestration. Triggers for complex reasoning, research, multi-domain synthesis, or when explicit commands `/nlr`, `/reason`, `/think-deep` are used. Integrates think skill (reasoning), agent-core skill (acting), and MCP tools (infranodus, exa, scholar-gateway) in recursive think→act→observe loops. Uses coding sandbox for execution validation and maintains deliberate noisiness via NoisyGraph scaffold. Supports `/compact` mode for abbreviated outputs and `/semantic` mode for rich exploration.
Expert guidance for building the Arcanea creative agent ecosystem with attention to detail, design excellence, and systematic implementation.