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Agent Skills

Agent-Skills.md is a agent skills marketplace, to find the right agent skills for you.

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run-da

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review-pr-feedback

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issuing-codex-pairing-code

Issue a Codex remote-control computer pairing/authentication code only when the latest user message explicitly asks to issue or share a Codex pairing code, computer connection code, authentication code, or remote-control code. Do not use for general remote-control diagnostics, setup explanation, connection troubleshooting, or UI navigation unless code issuance is explicitly requested.

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finish-pr

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finding-unknowns

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create-pr

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create-issue

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analyzing-da-sessions

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triage-issues

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managing-vscode

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managing-ssh

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managing-secrets

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automating-hammerspoon

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configuring-codex

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configuring-git

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understanding-nix

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using-codex-exec

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configuring-neovim

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hosting-copyparty

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hosting-karakeep

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managing-macos

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sharing-text

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viewing-immich-photo

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running-containers

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managing-tmux

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write-handoff

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context-compression

Design and evaluate context compression strategies for long-running agent sessions. Use when agents exhaust memory, need to summarize conversation history, or when optimizing tokens-per-task rather than tokens-per-request.

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context-degradation

Recognize, diagnose, and mitigate patterns of context degradation in agent systems. Use when context grows large, agent performance degrades unexpectedly, or debugging agent failures.

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context-fundamentals

Understand the components, mechanics, and constraints of context in agent systems. Use when designing agent architectures, debugging context-related failures, or optimizing context usage.

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context-optimization

Apply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, when optimizing for cost or latency, or when implementing long-running agent systems.

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evaluation

Build evaluation frameworks for agent systems. Use when testing agent performance, validating context engineering choices, or measuring improvements over time.

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memory-systems

Design and implement memory architectures for agent systems. Use when building agents that need to persist state across sessions, maintain entity consistency, or reason over structured knowledge.

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multi-agent-patterns

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.

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project-development

Design and build LLM-powered projects from ideation through deployment. Use when starting new agent projects, choosing between LLM and traditional approaches, or structuring batch processing pipelines.

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tool-design

Design tools that agents can use effectively, including when to reduce tool complexity. Use when creating, optimizing, or reducing agent tool sets.

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glean-mcp

Your work knowledge agent. Use Glean chat to answer any question about the user's company, accounts, colleagues, meetings, documents, or work history. Glean synthesizes across 100+ enterprise apps and always cites sources.

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advanced-evaluation

Master LLM-as-a-Judge evaluation techniques including direct scoring, pairwise comparison, rubric generation, and bias mitigation. Use when building evaluation systems, comparing model outputs, or establishing quality standards for AI-generated content.

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browser-automation

Guidance for effective browser automation with dev-browser plugin. Use for testing local development, verifying UI changes, debugging visual issues, and automating browser tasks.

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brief

Get a pre-meeting briefing for any account. Usage: /brief {account name}. Returns checklist progress, hours remaining, last interaction, missed comms, and open to-dos.

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context-engineering-collection

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.

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agent-spec-generator

Design and generate Glean Agent specifications. Use when creating new agents, speccing out agent requirements, or generating JSON for Agent Builder import. Triggers on: 'create an agent', 'design an agent', 'agent spec', 'build an agent for [use case]'.

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writing-verification-plans

Use when a project lacks VERIFICATION_PLAN.md, when finishing setting-up-a-project, or when asked how to prove a feature works end-to-end - writes real-system acceptance scenarios (no mocks) with success criteria and a pass/fail verification log

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writing-user-stories

Use when asked to write user stories, define requirements, break a feature into stories, or draft product/feature issues - produces stories in "As a [persona], I want [action], so that [benefit]" format with Given-When-Then acceptance criteria and an INVEST quality checklist

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writing-product-specs

Use when asked to write a product spec, PRD, or requirements document, or to design a new feature or project before implementation - interactively elicits problem, audience, success criteria, and scope, then produces a structured spec file

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working-on-an-issue

Use when asked to work on, read, or implement a GitHub issue - structured understand, plan, verify, implement, verify workflow with developer approval gates and mandatory verification

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setting-up-a-project

Use when setting up a new Claude Code project, when a repo has no CLAUDE.md, or when starting work on an empty codebase - interviews the user and authors a CLAUDE.md covering project purpose, tech stack, TDD rules, and development practices

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requirement-elicitation

Use when gathering project requirements, or when a user says 'help me define requirements' or 'figure out what to build' - adaptive wizard covering functional, nonfunctional, constraints, and edge cases with domain-specific questions for web apps, APIs, CLIs, mobile, and data pipelines

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project-planning

Use when the user says 'build a project plan', 'help me plan X', 'break down this project', or 'scope out this feature' - orchestrates issue-decomposition, architecture-diagramming, dependency-mapping, and timeline-planning to produce GitHub issues, diagrams, and a saved plan document

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project-analysis

Use when starting work on an unfamiliar codebase or asked to 'analyze this project' - maps structure, project type, architecture pattern, key files, and dependencies into a standard report

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prepare-meeting-agenda

Use when preparing an agenda for sprint planning, a retrospective, standup or sync, or a project check-in - gathers context from recent issues, PRs, and notes, groups topics, assigns owners and time boxes, and outputs a structured agenda

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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.