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Works with every major AI coding agent
Skills are portable instruction sets that extend what AI coding agents can do. Each skill is a SKILL.md file your agent reads to learn new capabilities, from writing tests to deploying infrastructure. Compatible with Claude Code, OpenClaw, Codex CLI, Cursor, and 20+ agents. Browse the marketplace to find skills built by the community, or publish your own.
16 skills found
by Loreto.io
Evaluates AI coding agent platforms across five structural dimensions that determine real-world performance independently of model quality, so teams select on architectural fit rather than benchmark scores.
by Roy Yuen
Turn your AI agent into a coordinator that manages parallel subagents for complex coding and research tasks.
by Roy Yuen
Coordinate specialized AI agent roles for complex planning, implementation, and verification workflows.
by 高紹育
Deploy a hierarchical team of AI agents to perform 15-30 minute deep-dive research with parallel execution.
by Aman Garg
Stop burning expensive model tokens on repetitive subtasks. This skill delegates mechanical work to cheaper models and writes handoff snapshots so you never lose context switching between sessions.
Design, validate, and orchestrate A2A-compliant multi-agent systems using artifact-driven Mesh Flow DAGs.
Turn multi-agent intake into client-ready A2A readiness reports, task contracts, and orchestration topologies.
by Roy Yuen
Design deterministic Mesh Flow guardrail topologies and verifier contracts for complex multi-agent AI systems.
by 王晓菲
Eliminate hallucinations and errors using double-blind, multi-agent adversarial verification loops.
Generate high-fidelity, structured handoff packets for seamless multi-agent collaboration and session persistence.
Route and coordinate complex dev tasks across Codex, Gemini, and Grok using standardized Agensi manifests.
by Mr Shippers
Optimize task execution by intelligently dispatching work to parallel subagents with ready-to-paste prompts.
Design and audit complex multi-agent workflows with rigorous ownership, evidence gates, and failure recovery policies.
by Roy Yuen
Architect durable multi-agent Kanban boards with structured handoffs and role-based task decomposition.
Quickstart guide to connect your AI agent to the Agensi marketplace via Model Context Protocol (MCP).
Orchestrate complex tasks by routing sub-projects to the most capable AI models (Gemini, Grok, Codex).
Discover AI agent skills that accelerate UI development, component generation, CSS styling, and design system workflows. These skills help agents write cleaner front-end code and ship pixel-perfect interfaces faster.
View allEquip your AI coding agent with skills for writing unit tests, integration tests, and end-to-end tests. Improve code coverage, catch regressions early, and automate quality assurance workflows.
View allSkills that help AI agents manage CI/CD pipelines, Docker containers, infrastructure-as-code, and cloud deployments. Automate your deployment workflows and reduce operational overhead.
View allGive your AI agent the ability to perform thorough code reviews, identify anti-patterns, suggest refactors, and enforce coding standards automatically across your codebase.
View allSkills that help AI agents generate READMEs, API docs, inline comments, changelogs, and technical writing. Keep your documentation accurate and up-to-date with minimal effort.
View allBoost your development workflow with skills for task management, code scaffolding, boilerplate generation, and workflow automation. Help your AI agent save you hours of repetitive work.
View allSkills for working with databases, data pipelines, ETL processes, SQL optimization, and data modeling. Help your AI agent handle complex data transformations and schema design.
View allEquip your AI agent with skills for building REST APIs, GraphQL endpoints, authentication flows, and API integrations. Design, document, and ship robust APIs faster.
View all
