智能体

agentmail-toolkit

agentmail-to

Add email capabilities to AI agents using popular frameworks. Provides pre-built tools for TypeScript and Python frameworks including Vercel AI SDK, LangChain, Clawdbot, OpenAI Agents SDK, and LiveKit Agents. Use when integrating AgentMail with agent frameworks that need email send/receive tools.

multi-agent-patterns

EricGrill

This skill should be used when the user asks to "design multi-agent system", "implement supervisor pattern", "create swarm architecture", "coordinate multiple agents", or mentions multi-agent patterns, context isolation, agent handoffs, sub-agents, or parallel agent execution.

clarify

corca-ai

"Unified requirement clarification to prevent downstream implementation churn by resolving ambiguity early. Default: research-first with autonomous decision-making and persistent questioning. --light: direct iterative Q&A. Triggers: \"cwf:clarify\", \"clarify this\", \"refine requirements\""

impl

corca-ai

"Implementation orchestration from a plan to execute approved scope predictably without losing constraints. Decomposes steps into parallelizable work items, spawns domain-appropriate agents, and verifies completion against BDD success criteria. Triggers: \"cwf:impl\", \"implement this plan\""

agent-estimation

ZhangHanDong

Accurately estimate AI agent work effort using the agent's own operational units (tool-call rounds) instead of human time. Use when asked to estimate, scope, plan, or evaluate how long a coding task will take. Prevents the common failure mode where agents anchor to human developer timelines and massively overestimate. Outputs a structured breakdown with round counts, risk factors, and a final wallclock conversion.

agent-vault

botiverse

Read/write config files (.env, YAML, TOML, JSON, docker-compose, etc.) safely. Use this instead of Read/Write/Edit tools whenever touching config files that may contain API keys, tokens, passwords, or other secrets — it auto-detects and redacts them.

team-tasks

win4r

"Coordinate multi-agent development pipelines using shared JSON task files. Use when dispatching work across dev team agents (code-agent, test-agent, docs-agent, monitor-bot), tracking pipeline progress, or running sequential/parallel workflows. Covers project init, task assignment, status tracking, agent dispatch via sessions_send, and result collection. Supports two modes: linear (sequential pipeline) and dag (dependency graph with parallel execution)."

agent-browser

ckorhonen

Automate headless browser interactions using agent-browser CLI. Use when scraping web pages, automating form submissions, testing web apps, or performing browser automation tasks. Works with element refs (@e1, @e2) optimized for AI agent reasoning.

ralph-loop

andrelandgraf

Complete setup for automated agent-driven development. Define features as user stories with testable acceptance criteria, then run AI agents in a loop until all stories pass.

ai-agent-workflow

andrelandgraf

Build resumable multi-agent workflows with durable execution, tool loops, and automatic stream recovery on client reconnection.

skillify

kk-r

Capture a session's repeatable process into a reusable SKILL.md file following the agentskills.io standard. Use when the user says "skillify this", "turn this into a skill", "capture this as a skill", "make this repeatable", "save this workflow", or "create a skill from this session". Works at end of any workflow worth repeating.

ai-strategist

dangeles

Use when evaluating AI tools and agentic workflows against workflow gaps, when conducting quarterly landscape scans, or when assessing integration feasibility of new tools for startup workflows.

a2a-patterns

vanman2024

Agent-to-Agent (A2A) protocol implementation patterns for Google ADK - exposing agents via A2A, consuming external agents, multi-agent communication, and protocol configuration. Use when building multi-agent systems, implementing A2A protocol, exposing agents as services, consuming remote agents, configuring agent cards, or when user mentions A2A, agent-to-agent, multi-agent collaboration, remote agents, or agent orchestration.

a2a-mcp-integration

vanman2024

Integration patterns for combining Agent-to-Agent (A2A) Protocol with Model Context Protocol (MCP) for hybrid agent communication. Use when building systems that need both agent-to-agent communication and agent-to-tool integration, implementing composite architectures, or when user mentions A2A+MCP integration, hybrid protocols, or multi-agent tool access.

streaming-patterns

vanman2024

Configure ADK bidi-streaming for real-time multimodal interactions. Use when building live voice/video agents, implementing real-time streaming, configuring LiveRequestQueue, setting up audio/video processing, or when user mentions bidi-streaming, real-time agents, streaming tools, multimodal streaming, or Gemini Live API.

aibtc-bitcoin-wallet

aibtcdev

Bitcoin L1 wallet for agents - check balances, send BTC, manage UTXOs. Extends to Stacks L2 (STX, DeFi) and Pillar smart wallets (sBTC yield).

agent-card-templates

vanman2024

A2A agent card JSON templates with schema validation and examples for different agent types. Use when creating agent cards, implementing A2A protocol discovery, setting up agent metadata, configuring authentication schemes, defining agent capabilities, or when user mentions agent card, agent discovery, A2A metadata, service endpoint configuration, or agent authentication setup.

Integration Templates Skill

vanman2024

.gitignore protection documented

workflow-canvas

vanman2024

Celery canvas patterns for workflow composition including chains, groups, chords, signatures, error handling, and nested workflows. Use when building complex task workflows, parallel execution patterns, task synchronization, callback handling, or when user mentions canvas primitives, workflow composition, task chains, parallel processing, or chord patterns.

Agent Communication

omer-metin

Agent Evaluation

omer-metin

Ai Creative Director

omer-metin

Ai Agents Architect

omer-metin

Agent Memory Systems

omer-metin