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Found 13,200 Skills
Agent skill for analyze-code-quality - invoke with $agent-analyze-code-quality
Agent skill for safla-neural - invoke with $agent-safla-neural
Agent skill for release-swarm - invoke with $agent-release-swarm
Agent skill for resource-allocator - invoke with $agent-resource-allocator
Agent skill for code-analyzer - invoke with $agent-code-analyzer
VS Code extension for real-time visualization of Claude Code agent orchestration as interactive node graphs
Monitor background processes from Claude Code using sentinel files, heartbeat liveness, and subagent polling. Best practices and anti-patterns for autonomous loops that need to kick off work, detect completion/failure/hang/timeout, and resume the main context without wasting tokens. TRIGGERS - monitor background process, sentinel file, heartbeat monitoring, process supervision, agentic loop monitor, background task health, detect hung process, poll for completion, watchdog pattern, process liveness, monitor long-running task, agent poll loop, circuit breaker pattern.
Create, optimize, and maintain AGENTS.md and CLAUDE.md files using progressive disclosure. Use when: User wants to create AGENTS.md/CLAUDE.md, optimize existing AI documentation, implement progressive disclosure, detect project structure (monorepo/polyrepo), or prevent documentation bloat. Triggers on: "create agents.md", "update AGENTS.md", "AI documentation", "project context", "monorepo documentation", "progressive disclosure", "Claude Code context", or when AI repeatedly asks the same questions about the project.
Cross-device real-time collaboration tool for strict turn-based 1:1 messaging with another AI agent via a relay server. Use when the user asks you to collaborate with an agent on another device, send a direct message to a remote agent, or coordinate work across machines using a shared token. Short name: Agent DM.
Core patterns for AI coding agents based on analysis of Claude Code, Codex, Cline, Aider, OpenCode. Triggers when: Building an AI coding agent or assistant, implementing tool-calling loops, managing context windows for LLMs, setting up agent memory or skill systems, or designing multi-provider LLM abstraction. Capabilities: Core agent loop with while(true) and tool execution, context management with pruning and compression and repo maps, tool safety with sandboxing and approval flows and doom loop detection, multi-provider abstraction with unified API for different LLMs, memory systems with project rules and auto-memory and skill loading, session persistence with SQLite vs JSONL patterns.
Decide how to implement runtime and API changes in openai-agents-js before editing code. Use when a task changes exported APIs, runtime behavior, schemas, tests, or docs and you need to choose the compatibility boundary, whether shims or migrations are warranted, and when unreleased interfaces can be rewritten directly.
Security patterns for autonomous trading agents with wallet or transaction authority. Covers prompt injection, spend limits, pre-send simulation, circuit breakers, MEV protection, and key handling.