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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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build-mcp

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

neolabhq
neolabhq
1,704159

cause-and-effect

Systematic Fishbone analysis exploring problem causes across six categories

neolabhq
neolabhq
1,704159

commit

Create well-formatted commits with conventional commit messages and emoji

neolabhq
neolabhq
1,704159

context-engineering

Understand the components, mechanics, and constraints of context in agent systems. Use when writing, editing, or optimizing commands, skills, or sub-agents prompts.

neolabhq
neolabhq
1,704159

create-agent

Comprehensive guide for creating Claude Code agents with proper structure, triggering conditions, system prompts, and validation - combines official Anthropic best practices with proven patterns

neolabhq
neolabhq
1,704159

create-command

Interactive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration

neolabhq
neolabhq
1,704159

create-hook

Create and configure git hooks with intelligent project analysis, suggestions, and automated testing

neolabhq
neolabhq
1,704159

create-ideas

Generate ideas in one shot using creative sampling

neolabhq
neolabhq
1,704159

create-pr

Create pull requests using GitHub CLI with proper templates and formatting

neolabhq
neolabhq
1,704159

create-rule

Use when found gap or repetative issue, that produced by you or implemenataion agent. Esentially use it each time when you say "You absolutly right, I should have done it differently." -> need create rule for this issue so it not appears again.

neolabhq
neolabhq
1,704159

create-skill

Guide for creating effective skills. This command should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations. Use when creating new skills, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation by testing with subagents before writing, iterating until bulletproof against rationalization

neolabhq
neolabhq
1,704159

create-workflow-command

Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts

neolabhq
neolabhq
1,704159

critique

Comprehensive multi-perspective review using specialized judges with debate and consensus building

neolabhq
neolabhq
1,704159

decay

Manage evidence freshness by identifying stale decisions and providing governance actions

neolabhq
neolabhq
1,704159

design-testing-strategy

Use before writing any type of tests. Distills 14 industry sources into deterministic decision gates, schemas, and worked test examples.

neolabhq
neolabhq
1,704159

do-and-judge

Execute a task with sub-agent implementation and LLM-as-a-judge verification with automatic retry loop

neolabhq
neolabhq
1,704159

do-competitively

Execute tasks through competitive multi-agent generation, meta-judge evaluation specification, multi-judge evaluation, and evidence-based synthesis

neolabhq
neolabhq
1,704159

do-in-parallel

Run independent tasks concurrently across multiple files or targets using parallel sub-agents, with per-task model selection and LLM-as-a-judge verification. Use when tasks do not depend on each other and can run side by side.

neolabhq
neolabhq
1,704159

do-in-steps

Execute one complex task as ordered, dependent steps run sequentially, passing context from each step to the next, with per-step LLM-as-a-judge verification. Use when later steps depend on the results of earlier ones.

neolabhq
neolabhq
1,704159

fix-tests

Systematically fix all failing tests after business logic changes or refactoring

neolabhq
neolabhq
1,704159

git-notes

Use when adding metadata to commits without changing history, tracking review status, test results, code quality annotations, or supplementing commit messages post-hoc - provides git notes commands and patterns for attaching non-invasive metadata to Git objects.

neolabhq
neolabhq
1,704159

git-worktrees

Use when working on multiple branches simultaneously, context switching without stashing, reviewing PRs while developing, testing in isolation, or comparing implementations across branches - provides git worktree commands and workflow patterns for parallel development with multiple working directories.

neolabhq
neolabhq
1,704159

implement-task

Implement a task step by step with automated LLM-as-Judge verification at the end of each phase

neolabhq
neolabhq
1,704159

judge

Launch a meta-judge then a judge sub-agent to evaluate results produced in the current conversation

neolabhq
neolabhq
1,704159

judge-with-debate

Evaluate solutions through multi-round debate between independent judges until consensus

neolabhq
neolabhq
1,704159

kaizen

Use when Code implementation and refactoring, architecturing or designing systems, process and workflow improvements, error handling and validation. Provide tehniquest to avoid over-engineering and apply iterative improvements.

neolabhq
neolabhq
1,704159

launch-sub-agent

Launch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique verification

neolabhq
neolabhq
1,704159

load-issues

Load all open issues from GitHub and save them as markdown files

neolabhq
neolabhq
1,704159

load-pr-comments

Use to load open/unresolved PR review comments then aggregate them as tasks in .specs/comments/*.md for parallel agents to fix.

neolabhq
neolabhq
1,704159

memorize

Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering

neolabhq
neolabhq
1,704159

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.

neolabhq
neolabhq
1,704159

plan-do-check-act

Iterative PDCA cycle for systematic experimentation and continuous improvement

neolabhq
neolabhq
1,704159

plan-task

Refine a draft task specification into a fully planned, implementation-ready task with acceptance criteria, architecture, per-step sub-task files and verifiable phases

neolabhq
neolabhq
1,704159

prompt-engineering

Use this skill when you writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts, improving LLM outputs, or designing production prompt templates.

neolabhq
neolabhq
1,704159

propose-hypotheses

Execute complete FPF cycle from hypothesis generation to decision

neolabhq
neolabhq
1,704159

query

Search the FPF knowledge base and display hypothesis details with assurance information

neolabhq
neolabhq
1,704159

reflect

Reflect on previus response and output, based on Self-refinement framework for iterative improvement with complexity triage and verification

neolabhq
neolabhq
1,704159

reset

Reset the FPF reasoning cycle to start fresh

neolabhq
neolabhq
1,704159

resolve-fixed-pr-comments

Verify what PR review comments have been addressed (committed/pushed OR uncommitted local changes) and resolve the threads that are genuinely fixed or no longer relevant.

neolabhq
neolabhq
1,704159

review-local-changes

Review your local uncommitted working-tree changes (git diff plus untracked files) and return actionable improvement suggestions. Use before committing, when nothing has been pushed yet.

neolabhq
neolabhq
1,704159

review-pr

Review an existing GitHub pull request and post inline review comments on its diff. Use when the changes are on an opened PR rather than your local working tree.

neolabhq
neolabhq
1,704159

root-cause-tracing

Use when errors occur deep in execution and you need to trace back to find the original trigger - systematically traces bugs backward through call stack, adding instrumentation when needed, to identify source of invalid data or incorrect behavior

neolabhq
neolabhq
1,704159

setup-arxiv-mcp

Guide for setup arXiv paper search MCP server using Docker MCP

neolabhq
neolabhq
1,704159

setup-codemap-cli

Guide for setup Codemap CLI for intelligent codebase visualization and navigation

neolabhq
neolabhq
1,704159

setup-context7-mcp

Guide for setup Context7 MCP server to load documentation for specific technologies.

neolabhq
neolabhq
1,704159

setup-serena-mcp

Guide for setup Serena MCP server for semantic code retrieval and editing capabilities

neolabhq
neolabhq
1,704159

status

Display the current state of the FPF knowledge base

neolabhq
neolabhq
1,704159

subagent-driven-development

Use when executing implementation plans with independent tasks in the current session or facing 3+ independent issues that can be investigated without shared state or dependencies - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates

neolabhq
neolabhq
1,704159

test-coverage

Use after writing tests to assess coverage quality across structural, mutation, requirements, and API/integration dimensions; organized knowledge for choosing and interpreting coverage analyses.

neolabhq
neolabhq
1,704159

test-driven-development

Use when implementing any feature or bugfix, before writing implementation code - write the test first, watch it fail, write minimal code to pass; ensures tests actually verify behavior by requiring failure first

neolabhq
neolabhq
1,704159

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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.