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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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before-you-build

Pre-build product and feature risk review for founders, product managers, and AI-assisted builders. Use this skill when the user is about to build a landing page, MVP, SaaS product, internal tool, agent workflow, or major feature and needs to check demand, positioning, monetization, retention, trust, distribution, and adoption risk before implementation starts.

wshobson
wshobson
39,5404,213

block-no-verify-hook

Configure a PreToolUse hook to prevent AI agents from skipping git pre-commit hooks with --no-verify and other bypass flags. Use when setting up Claude Code projects that enforce commit quality gates.

wshobson
wshobson
39,5404,213

ai-debt-detector

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wshobson
wshobson
39,5404,213

session-guard

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wshobson
wshobson
39,5404,213

hads

Use when writing technical documentation that needs to be readable by both humans and AI models, converting existing docs to HADS format, validating a HADS document, or optimizing documentation for token-efficient AI consumption.

wshobson
wshobson
39,5404,213

review-agent-setup

Configure human-in-the-loop gating for AI agent review actions in Claude Code. Use when setting up a project where an agent may post PR reviews, comments, merges, or edit CI configuration, and you want a cryptographically auditable approval trail with Cedar-enforced gates.

wshobson
wshobson
39,5404,213

scan

Scans the codebase to generate project-doc.md and AGENTS.md. Use when bootstrapping a new agent-driven repo, refreshing project documentation after architectural changes, or running a delta scan to detect drift. Runs a full scan on first use and a smart delta scan on subsequent runs. Uses understand-anything + context-mode when available, falls back to native tools otherwise. Only updates AGENTS.md on detected architectural changes with human confirmation.

wshobson
wshobson
39,5404,213

superself

Use when a project keeps its state in Superself (a `<!-- superself:begin` block in AGENTS.md or CLAUDE.md, or `self setup` resolves the directory to a registered project): read `self context` at session start, attach work to a work unit, report with evidence, and record confirmed decisions so the next session picks up where this one left off.

wshobson
wshobson
39,5404,213

preference-optimization

Align a fine-tuned model with preference data using DPO, ORPO, KTO, or SimPO. Use when preference pairs or thumbs-up/down feedback exist, when choosing between preference-optimization methods, or when a DPO run needs hyperparameters or debugging.

wshobson
wshobson
39,5404,213

lora-qlora-recipes

Configure LoRA and QLoRA supervised fine-tuning with current best-practice hyperparameters. Use when writing or reviewing a LoRA/QLoRA training configuration, choosing rank/alpha/target modules, or deciding between LoRA, QLoRA, and full fine-tuning.

wshobson
wshobson
39,5404,213

recsys-pipeline-architect

Design composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect framework popularized by xAI's open-sourced X For You algorithm. Use when building any system that picks "the top K items for a (user, context)" — content feeds, search ranking, RAG rerankers, task prioritizers, notification triage, ad selection.

wshobson
wshobson
39,5404,213

signed-audit-trails-recipe

Step-by-step cookbook for setting up cryptographically signed audit trails on Claude Code tool calls. Use when explaining, evaluating, or demonstrating the pattern before committing to the protect-mcp runtime hooks. Covers Cedar policy, Ed25519 receipts, offline verification, tamper detection, CI/CD integration, and SLSA composition.

wshobson
wshobson
39,5404,213

visual-edit-precision

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wshobson
wshobson
39,5404,213

grounded-vault

Use when maintaining a durable Markdown knowledge store that agents compile from sources, when every number or quote in a wiki page must trace back to an immutable source, or when compiled pages need cheap drift detection against the code they describe. Teaches the raw/wiki/archive layout, per-claim provenance links, and git fingerprints for zero-token staleness checks.

wshobson
wshobson
39,5404,213

spark-environment-setup

Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). Use when installing PyTorch/Unsloth/TRL/vLLM on DGX Spark, hitting libcudart or wheel-ABI errors on aarch64, or choosing between NGC containers and bare pip installs.

wshobson
wshobson
39,5404,213

spark-memory-thermal-ops

Manage unified memory and thermals during long-running ML jobs on NVIDIA DGX Spark. Use when planning memory headroom for a training run on GB10, when a job OOMs on unified memory, or when monitoring temperature and power during multi-hour training.

wshobson
wshobson
39,5404,213

spark-training-gotchas

Preflight and diagnose the ten known failure modes for ML training on NVIDIA DGX Spark. Use when a training run on DGX Spark fails to start, OOMs below the 128GB limit, slows down mid-run, or before any multi-hour training job on GB10.

wshobson
wshobson
39,5404,213

trace-to-training-data

Convert evaluation traces and production logs into SFT examples and preference pairs. Use when graded traces or failure examples exist and need to become training data, when applying rejection sampling to model outputs, or when building DPO pairs from passing and failing runs.

wshobson
wshobson
39,5404,213

avoid-ai-writing

Audit and rewrite prose so it stops reading as machine-generated. Use this skill when asked to remove AI-isms, clean up AI writing, edit a draft for AI tells, audit a README, changelog, release note, PR description, or blog post for machine-sounding prose, or make text sound less like AI. Supports a detect-only mode, a rewrite mode, and an edit-in-place mode, with optional voice and context profiles.

wshobson
wshobson
39,5404,213

quantized-export

Export a promoted fine-tuned model in the right deployment format — merged safetensors, LoRA-only, GGUF with imatrix, or FP8. Use after a checkpoint passes promotion, when choosing a quantization format for a target device, or when an exported model fails its smoke test.

wshobson
wshobson
39,5404,213

vision-sft

Fine-tune vision-language models (VLMs) with supervised learning on image+text data. Use when adapting a VLM to a visual domain or task, configuring frozen-vision-tower LoRA, or debugging a VLM fine-tune that trains without learning.

wshobson
wshobson
39,5404,213

social-publishing

>

wshobson
wshobson
39,5404,213

pptx-visual-assets

Use when selecting and placing approved supporting icons, images, SVGs, diagrams, or infographics in an editable PPTX deck.

wshobson
wshobson
39,5404,213

protect-mcp-setup

Configure Cedar policy enforcement and Ed25519 signed receipts for Claude Code tool calls. Use when setting up projects that need cryptographic audit trails, policy-gated tool execution, or compliance-ready evidence of agent actions.

wshobson
wshobson
39,5404,213

pptx-deck-context

Use when preparing the narrative, sources, and design context for a new editable PPTX deck.

wshobson
wshobson
39,5404,213

hermes-tweet

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wshobson
wshobson
39,5404,213

evaluation-methodology

PluginEval quality methodology — dimensions, rubrics, statistical methods, and scoring formulas. Use this skill when understanding how plugin quality is measured, when interpreting a low score on a specific dimension, when deciding how to improve a skill's triggering accuracy or orchestration fitness, when calibrating scoring thresholds for your marketplace, or when explaining quality badges to external partners like Neon.

wshobson
wshobson
39,5404,213

pptx-quality-gates

Use when validating or repairing an editable PPTX deck for geometry, accessibility, native editability, source lineage, and OOXML package integrity.

wshobson
wshobson
39,5404,213

pptx-reference-deck-analysis

Use when analyzing a reference PPTX for read-only structure, theme, typography, layout rhythm, diagnostics, derived template catalogs, or safe OOXML package inspection.

wshobson
wshobson
39,5404,213

pptx-slide-specification

Use when authoring or repairing a coordinate-explicit JSON specification for an editable PPTX deck.

wshobson
wshobson
39,5404,213

brand-landingpage

>

wshobson
wshobson
39,5404,213

file-conversion

Convert files between formats — PDF to Word, HEIC to JPG, MP4 to MP3, CSV to JSON, EPUB to MOBI, and 999 total routes across images, video, audio, documents, data, fonts, ebooks, and archives. Free via changethisfile.com, no API key or signup. Use when the user needs a file converted to a different format.

wshobson
wshobson
39,5404,213

code-refactor

Systematic code refactoring based on Martin Fowler's methodology. Use when users ask to refactor code, improve code structure, reduce technical debt, clean up legacy code, eliminate code smells, or improve code maintainability. This skill guides through a phased approach with research, planning, and safe incremental implementation.

luongnv89
luongnv89
39,3624,750

lesson-quiz

Interactive lesson-level quiz for Claude Code tutorials. Tests understanding of a specific lesson (01-10) with 8-10 questions mixing conceptual and practical knowledge. Use before a lesson to pre-test, during to check progress, or after to verify mastery. Use when asked to "quiz me on hooks", "test my knowledge of lesson 3", "lesson quiz", "practice quiz for MCP", or "do I understand skills".

luongnv89
luongnv89
39,3624,750

blog-draft

Draft a blog post from ideas and resources. Use when users want to write a blog post, create content from research, or draft articles. Guides through research, brainstorming, outlining, and iterative drafting with version control.

luongnv89
luongnv89
39,3624,750

api-documentation-generator

Generate comprehensive, accurate API documentation from source code. Use when creating or updating API documentation, generating OpenAPI specs, or when users mention API docs, endpoints, or documentation.

luongnv89
luongnv89
39,3624,750

self-assessment

Comprehensive Claude Code self-assessment and learning path advisor. Runs a multi-category quiz covering 10 feature areas, produces a detailed skill profile with per-topic scores, identifies specific gaps, and generates a personalized learning path with prioritized next steps. Use when asked to "assess my level", "take the quiz", "find my level", "where should I start", "what should I learn next", "check my skills", "skill check", or "level up".

luongnv89
luongnv89
39,3624,750

claude-md

Create or update CLAUDE.md files following best practices for optimal AI agent onboarding

luongnv89
luongnv89
39,3624,750

brand-voice-consistency

Ensure all communication matches brand voice and tone guidelines. Use when creating marketing copy, customer communications, public-facing content, or when users mention brand voice, tone, or writing style.

luongnv89
luongnv89
39,3624,750

code-review-specialist

Comprehensive code review with security, performance, and quality analysis. Use when users ask to review code, analyze code quality, evaluate pull requests, or mention code review, security analysis, or performance optimization.

luongnv89
luongnv89
39,3624,750

deep-interview

Socratic deep interview with mathematical ambiguity gating before explicit execution approval

yeachan-heo
yeachan-heo
39,2663,512

external-context

Invoke parallel document-specialist agents for external web searches and documentation lookup

yeachan-heo
yeachan-heo
39,2663,512

ask

Process-first advisor routing for Claude, Codex, Gemini, Antigravity, Grok, or Cursor via `omc ask`, with artifact capture and no raw CLI assembly

yeachan-heo
yeachan-heo
39,2663,512

configure-notifications

Configure notification integrations (Telegram, Discord, Slack) via natural language

yeachan-heo
yeachan-heo
39,2663,512

hud

Configure HUD display options (layout, presets, display elements)

yeachan-heo
yeachan-heo
39,2663,512

omc-setup

Install or refresh oh-my-claudecode for plugin, npm, and local-dev setups from the canonical setup flow

yeachan-heo
yeachan-heo
39,2663,512

cancel

Cancel any active OMC mode (autopilot, ralph, ultragoal, swarm, ultrapilot, pipeline, team) and clean up retired legacy state

yeachan-heo
yeachan-heo
39,2663,512

autopilot

Full autonomous execution from idea to working code

yeachan-heo
yeachan-heo
39,2663,512

ai-slop-cleaner

Clean AI-generated code slop with a regression-safe, deletion-first workflow and optional reviewer-only mode

yeachan-heo
yeachan-heo
39,2663,512

project-session-manager

Worktree-first dev environment manager for issues, PRs, and features with optional tmux sessions

yeachan-heo
yeachan-heo
39,2663,512

Page 45 of 1736 · 86787 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.