Agents
AI agents and automation
spawning-plan
by octaviusp
"Spawning Plan. Use when user wants to spawn agents, create a team, or coordinate multiple agents. Automatically gathers context, asks team topology questions, outputs clean TEAM PLAN markdown, and gets user approval. 3 steps: context gathering → questions → present plan. CRITICAL: MUST NOT SPAWN AGENTS SKIPPING THIS SKILL, USE ALWAYS."
context
by dengineproblem
Получение контекста пользователя и credentials
claw
by mateffy
Real-time event bus for AI agents. Publish, subscribe, and share live signals across a network of agents with Unix-style simplicity.
Agent Development
by atalovesyou
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
foundry-research
by foundry-works
AI-powered research skill with five workflows - chat (single-model conversation), consensus (multi-model synthesis), thinkdeep (systematic investigation), ideate (creative brainstorming), and deep (multi-phase web research). Supports persistent threads and research sessions.
creative-image-generator
by dengineproblem
Генерация рекламных изображений через Gemini. Используй для создания креативов с текстом.
context-engineering-collection
by ken-cavanagh-glean
A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.
foundry-implement
by foundry-works
Task implementation skill for spec-driven workflows. Reads specifications, identifies next actionable tasks, and creates detailed execution plans. Use when ready to implement a task from an existing spec - bridges the gap between planning and coding.
agentic-website-design
by melvinmt
Design and build websites using AI coding agents with static site generators. Covers Astro-first workflow, iterative visual refinement via browser feedback, skill-enhanced prompting (frontend-design, copywriting), animations, and high-bar polish loops. Use when building a website with an AI agent, designing landing pages, or iterating on web design with LLM assistance.
temporal-python-testing
by EngineerWithAI
Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures.
exa-rag
by ejirocodes
"Build RAG pipelines with Exa.ai for real-time web retrieval. Use when building retrieval-augmented generation, integrating Exa with LangChain, LlamaIndex, Vercel AI SDK, or implementing AI agents with web search capabilities. Triggers on: RAG pipeline, retrieval augmented generation, Exa LangChain, Exa LlamaIndex, ExaSearchRetriever, ExaSearchResults, Exa MCP, Exa tool calling, Claude tool use, AI agent web search, grounded generation, citation generation, fact checking, hallucination detection, OpenAI compatibility, chat completions."
tool-design
by ken-cavanagh-glean
Design tools that agents can use effectively, including when to reduce tool complexity. Use when creating, optimizing, or reducing agent tool sets.
workflow-orchestration-patterns
by EngineerWithAI
Design durable workflows with Temporal for distributed systems. Covers workflow vs activity separation, saga patterns, state management, and determinism constraints. Use when building long-running processes, distributed transactions, or microservice orchestration.
context
by dengineproblem
Получение контекста пользователя и credentials
evaluation
by ken-cavanagh-glean
Build evaluation frameworks for agent systems. Use when testing agent performance, validating context engineering choices, or measuring improvements over time.
context
by dengineproblem
Получение контекста пользователя и credentials
filecoin
by hairyf
Lotus (Filecoin) node — chain, state, mpool, API, mining, events, and operations.
context
by dengineproblem
Получение контекста пользователя и credentials
multi-agent-patterns
by ken-cavanagh-glean
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
agent-browser
by arlenagreer
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
skill-system-router
by arthur0824hao
"Meta-skill that teaches the Agent how to discover, select, execute, chain, and observe skills in the skill system. Load this skill when you need to: (1) find which skill can handle a capability, (2) execute a skill operation via its entrypoint, (3) chain multiple skill operations together, (4) check policy before executing, or (5) log skill execution for observability. This skill makes YOU the router — you decide what to run, in what order, based on context."
context-degradation
by ken-cavanagh-glean
Recognize, diagnose, and mitigate patterns of context degradation in agent systems. Use when context grows large, agent performance degrades unexpectedly, or debugging agent failures.
arbitrum-skills
by utkucy
Provides Arbitrum L2 blockchain development documentation including Stylus WASM smart contracts (Rust), token bridging (ETH, ERC-20, USDC), Orbit chain deployment, node operations (full node, validator, sequencer), gas estimation, cross-chain messaging, BoLD protocol, Timeboost, ArbOS upgrades, and OpenZeppelin/Nitro contract references. Use when the user mentions Arbitrum, Stylus, Orbit, Nitro, ArbOS, or L2 scaling.
reinforcement-learning
by pluginagentmarketplace
Q-learning, DQN, PPO, A3C, policy gradient methods, multi-agent systems, and Gym environments. Use for training agents, game AI, robotics, or decision-making systems.