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agentuity-cli-cloud-queue-sources-list

List sources for a queue. Requires authentication. Use for Agentuity cloud platform operations

read-onlyfastrequires-auth
majiayu000
majiayu000
11819

agentuity-cli-cloud-queue-sources-delete

Delete a source from a queue. Requires authentication. Use for Agentuity cloud platform operations

mutatingdeletes-resourcerequires-auth
majiayu000
majiayu000
11819

agentuity-cli-cloud-queue-sources-create

Create a source for a queue. Requires authentication. Use for Agentuity cloud platform operations

mutatingcreates-resourcerequires-auth
majiayu000
majiayu000
11819

agentuity-cli-cloud-queue-resume

Resume message delivery for a paused queue. Requires authentication. Use for Agentuity cloud platform operations

mutatingupdates-resourcerequires-auth
majiayu000
majiayu000
11819

agentuity-cli-cloud-queue-pause

Pause message delivery for a queue. Requires authentication. Use for Agentuity cloud platform operations

mutatingupdates-resourcerequires-auth
majiayu000
majiayu000
11819

agentuity-cli-cloud-queue-nack

Negative acknowledge a message (return to queue for retry). Requires authentication. Use for Agentuity cloud platform operations

mutatingupdates-resourcerequires-auth
majiayu000
majiayu000
11819

agentuity-cli-cloud-keyvalue-create-namespace

Create a new keyvalue namespace. Requires authentication. Use for Agentuity cloud platform operations

mutatingcreates-resourceslowrequires-auth
majiayu000
majiayu000
11819

agentuity-cli-cloud-eval-run-list

List eval runs. Requires authentication. Use for Agentuity cloud platform operations

read-onlyfastrequires-auth
majiayu000
majiayu000
11819

agentuity-cli-cloud-eval-run-get

Get details about a specific eval run. Requires authentication. Use for Agentuity cloud platform operations

read-onlyfastrequires-auth
majiayu000
majiayu000
11819

agentuity-cli-cloud-eval-list

List evals. Requires authentication. Use for Agentuity cloud platform operations

read-onlyfastrequires-auth
majiayu000
majiayu000
11819

agentuity-cli-cloud-eval-get

Get details about a specific eval. Requires authentication. Use for Agentuity cloud platform operations

read-onlyfastrequires-auth
majiayu000
majiayu000
11819

agentuity-cli-cloud-env-set

Set an environment variable. Requires authentication. Use for Agentuity cloud platform operations

mutatingupdates-resourceslowrequires-auth
majiayu000
majiayu000
11819

agentuity-cli-cloud-env-push

Push environment variables from local .env file to cloud. Requires authentication. Use for Agentuity cloud platform operations

mutatingupdates-resourceslowapi-intensive
majiayu000
majiayu000
11819

agentuity-cli-cloud-env-pull

Pull environment variables from cloud to local .env.production file. Requires authentication. Use for Agentuity cloud platform operations

slowrequires-authrequires-project
majiayu000
majiayu000
11819

agentuity-cli-cloud-env-list

List all environment variables. Requires authentication. Use for Agentuity cloud platform operations

read-onlyfastrequires-authrequires-project
majiayu000
majiayu000
11819

agentuity-cli-cloud-env-import

Import environment variables from a file to cloud and local .env. Requires authentication. Use for Agentuity cloud platform operations

mutatingcreates-resourceslowapi-intensive
majiayu000
majiayu000
11819

agentuity-cli-cloud-env-get

Get an environment variable value. Requires authentication. Use for Agentuity cloud platform operations

read-onlyfastrequires-authrequires-project
majiayu000
majiayu000
11819

agentuity-cli-cloud-env-delete

Delete an environment variable. Requires authentication. Use for Agentuity cloud platform operations

destructivedeletes-resourceslowrequires-auth
majiayu000
majiayu000
11819

agentuity-cli-cloud-deployment-undeploy

Undeploy the latest deployment. Requires authentication. Use for Agentuity cloud platform operations

destructivedeletes-resourceslowrequires-auth
majiayu000
majiayu000
11819

agentuity-cli-cloud-deployment-show

Show details about a specific deployment. Requires authentication. Use for Agentuity cloud platform operations

read-onlyfastrequires-authrequires-deployment
majiayu000
majiayu000
11819

agentuity-cli-cloud-deployment-rollback

Rollback the latest to the previous deployment. Requires authentication. Use for Agentuity cloud platform operations

destructivedeletes-resourceupdates-resourceslow
majiayu000
majiayu000
11819

agentuity-cli-cloud-deployment-remove

Remove a specific deployment. Requires authentication. Use for Agentuity cloud platform operations

destructivedeletes-resourceslowrequires-auth
majiayu000
majiayu000
11819

agentuity-cli-auth-ssh-list

List all SSH keys on your account. Requires authentication. Use for managing authentication credentials

read-onlyfastrequires-auth
majiayu000
majiayu000
11819

agents-md-creator

AIコーディングエージェント向けの指示書「AGENTS.md」を作成するスキル。プロジェクトにAIエージェントが作業するための文脈と指示を集約するファイルを作成したい場合に使用します。「AGENTS.mdを作成」「AIエージェント用の指示書を作る」「エージェント向けREADMEを作成」などのリクエストでトリガーします。OpenAI Codex、Claude Code、GitHub Copilot、Cursorなど、複数のAIエージェントで共通利用できるオープンな標準フォーマットです。

majiayu000
majiayu000
11819

agents-md-authoring-majo

Write effective AGENTS.md files for AI coding agents.

Mark Joshwel <mark@joshwel.co>
Mark Joshwel <mark@joshwel.co>
11819

agents-manager

Branch skill for building and improving agents. Use when creating new agents, adapting marketplace agents, validating agent structure, writing system prompts, or improving existing agents. Triggers: 'create agent', 'improve agent', 'validate agent', 'fix agent', 'agent frontmatter', 'system prompt', 'adapt agent', 'customize agent', 'agent examples', 'agent tools'.

majiayu000
majiayu000
11819

llamaindex

Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.

majiayu000
majiayu000
11819

langchain

Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.

majiayu000
majiayu000
11819

agents

Patterns and architectures for building AI agents and workflows with LLMs. Use when designing systems that involve tool use, multi-step reasoning, autonomous decision-making, or orchestration of LLM-driven tasks.

majiayu000
majiayu000
11819

agents-bootstrap

Generate a project-specific AGENTS.md from a user goal, then confirm before overwriting.

majiayu000
majiayu000
11819

autogpt-agents

Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems.

majiayu000
majiayu000
11819

agentmd-creator

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majiayu000
majiayu000
11819

agentmail

Inter-agent communication for tmux sessions. Send and receive messages between AI agents.

majiayu000
majiayu000
11819

agentlightning-skill

Agent Lightning를 사용하여 AI 에이전트를 자동으로 최적화하는 방법을 제공합니다.

majiayu000
majiayu000
11819

agentkit

Coinbase AgentKit - Toolkit for enabling AI agents with crypto wallets and onchain capabilities. Use for building autonomous agents that can execute transfers, swaps, DeFi operations, NFT minting, smart contract deployment, and gasless transactions via Smart Wallets.

majiayu000
majiayu000
11819

agenticflow-skills

Comprehensive guide for building AI workflows, agents, and workforce systems with AgenticFlow. Use when designing workflows with various node types, configuring single agents, or orchestrating workforce collaboration patterns.

majiayu000
majiayu000
11819

agentica-spawn

Spawn Agentica multi-agent patterns

majiayu000
majiayu000
11819

agentica-server

Agentica server + Claude proxy setup - architecture, startup sequence, debugging

majiayu000
majiayu000
11819

agentica-sdk

Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration

majiayu000
majiayu000
11819

agentica-claude-proxy

Guide for integrating Agentica SDK with Claude Code CLI proxy

majiayu000
majiayu000
11819

agentic-workflows

Design and implement agentic AI workflows and patterns. Covers ReAct, planning agents, tool use, memory systems, and multi-agent orchestration. Use when building autonomous AI agents, implementing complex task automation, or designing intelligent workflow systems.

majiayu000
majiayu000
11819

agentic-workflow-guide

Design, review, and improve agent workflows & agent using SSOT, SRP, Fail Fast principles. Supports Prompt Chaining, Parallelization, Orchestrator-Workers patterns.

majiayu000
majiayu000
11819

agentic-workflow-automation

Transition from static LLM chats to autonomous agents that execute multi-step tasks. Use this when you need to automate cross-platform reports (e.g., Snowflake to Google Docs), build self-service tools for non-technical teams, or create "anticipatory" engineering workflows that draft PRs based on Slack discussions.

majiayu000
majiayu000
11819

agentic-vision

|

majiayu000
majiayu000
11819

agentic-structure

Collaborative programming framework for production-ready development. Use when starting features, writing code, handling security/errors, adding comments, discussing requirements, or encountering knowledge gaps. Applies to all development tasks for clear, safe, maintainable code.

majiayu000
majiayu000
11819

agentic-quality-engineering

AI agents as force multipliers for quality work. Core skill for all 19 QE agents using PACT principles.

majiayu000
majiayu000
11819

agentic-product-prototyping

Build functional software prototypes and MVPs without deep technical skills by using AI agents as "developers in your pocket." Use this skill when you need to validate a new product concept, build custom back-office tools (e.g., a real estate data manager), or create high-fidelity demos to unblock engineering roadmaps.

majiayu000
majiayu000
11819

agentic-patterns

Design and operate multi-agent orchestration patterns (ReAct loops, evaluator-optimizer, orchestrator-workers, tool routing) for LLM systems. Use when building or debugging agent workflows, tool-use loops, or multi-step task delegation; triggers: agentic, multi-agent, orchestration, ReAct, evaluator-optimizer, tool-use, handoff.

majiayu000
majiayu000
11819

agentic-orchestration

Patterns for multi-agent coordination, task decomposition, handoffs, and workflow orchestration. Best practices for building and managing agent systems.

majiayu000
majiayu000
11819

agentic-orchestrating

Provides the "how-to" for workflow / task execution orchestration. Defines methods for planning multi-phase task/workflows, implementing them through agent delegation, and managing artifacts.

majiayu000
majiayu000
11819

Page 453 of 1366 · 68283 results

Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.