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Found 1,463 Skills
AI agent execution skill for crypto order execution — TWAP, maker execution, transaction cost analysis and slippage reduction. Supports 11 CEX and DEX venues on both perpetual futures and spot: Binance, OKX, Bybit, Bitget, Gate.io, KuCoin, Kraken, Deribit, Hyperliquid, Aster and Orderly. Exchange API keys stay on the user's own machine — no third-party order routing. Install and full docs: https://pypi.org/project/blockfill/
Fast file-logged work with Git evidence and on-demand development machinery. Triggered by godev/devlog/ag/agentflow.
Create a durable handoff file that captures important conversation state for agent continuity. Use when the context window is getting full, when switching agents/sessions, when handing off work, or when asked to summarize progress without losing decisions, constraints, risks, and pending tasks.
Build production-ready AI agents using Google's Agent Development Kit with AI assistant integration, React patterns, multi-agent orchestration, and comprehensive tool libraries. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
Design and scaffold the code execution pattern for MCP-based agent systems. Use when building agents that interact with many MCP tools, when intermediate data is too large for model context, when you need loops/conditionals across tool calls, or when PII must stay out of the model context. Based on Anthropic's engineering guidance.
Use free SearXNG web search APIs for agent-friendly, privacy-first, and high-volume search tasks.
Start here — turn source material into a validated agent skill. Orchestrates cogworks-encode (synthesis) and cogworks-learn (skill generation).
Invoke this skill when the user says "use btca"
Unified review skill — auto-detects plan or code, assembles the right panel, runs a bounded review-fix loop with severity gating. Use when a plan or implementation needs review.
Compiles any research input — PDF papers, GitHub repositories, experiment logs, code directories, or raw notes — into a complete Agent-Native Research Artifact (ARA) with cognitive layer (claims, concepts, heuristics), physical layer (configs, code stubs), exploration graph, and grounded evidence. Use when ingesting a paper or codebase into a structured, machine-executable knowledge package, building an ARA from scratch, or converting research outputs into a falsifiable, agent-traversable form.
CubeSandbox — instant, hardware-isolated, E2B-compatible sandbox service for AI agents built on RustVMM/KVM
Decide which CLI worker (Claude, OpenCode, or Gemini) should implement a given task. Routes by task type — large-context to Gemini, mechanical to OpenCode, judgment to Claude. Returns the chosen worker and a short rationale; the caller invokes the worker via scripts/invoke-worker.sh.