███████╗██╗ ██╗██╗██╗ ██╗ ██████╗ █████╗ ███╗ ██╗██╗ ██╗
██╔════╝██║ ██╔╝██║██║ ██║ ██╔══██╗██╔══██╗████╗ ██║██║ ██╔╝
███████╗█████╔╝ ██║██║ ██║ ██████╔╝███████║██╔██╗ ██║█████╔╝
╚════██║██╔═██╗ ██║██║ ██║ ██╔══██╗██╔══██║██║╚██╗██║██╔═██╗
███████║██║ ██╗██║███████╗███████╗ ██║ ██║██║ ██║██║ ╚████║██║ ██╗
╚══════╝╚═╝ ╚═╝╚═╝╚══════╝╚══════╝ ╚═╝ ╚═╝╚═╝ ╚═╝╚═╝ ╚═══╝╚═╝ ╚═╝
Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 8851 | brainstorming | jnmetacode/superpowers-zh |
Brainstorming Ideas Into Designs Help turn ideas into fully formed designs and specs through natural collaborative dialogue. Start by understanding the current project context, then ask questions one at a time to refine the idea. Once you understand what you're building, present the design and get user approval. Anti-Pattern: "This Is Too Simple To Need A Design" Every project goes through this process. A todo list, a single-function utility, a config change — all of them. "Simple" projects are ...
|
568 |
| 8852 | arize-compliance-audit | arize-ai/arize-skills |
Arize Compliance Audit Skill Use this skill when the user wants to audit their AI agent or LLM application for regulatory compliance . The skill scans the codebase for compliance gaps, cross-references Arize instrumentation for audit trail coverage, and produces a tailored checklist with optional remediation. Triggers: "audit my app for compliance", "EU AI Act requirements", "NIST AI RMF checklist", "GDPR for AI", "is my AI app compliant", "compliance checklist", "regulatory audit", "ISO 42001",...
|
568 |
| 8853 | propose-hypotheses | neolabhq/context-engineering-kit |
Propose Hypotheses Workflow Execute the First Principles Framework (FPF) cycle: generate competing hypotheses, verify logic, validate evidence, audit trust, and produce a decision. User Input Problem Statement: $ARGUMENTS Workflow Execution Step 1a: Create Directory Structure (Main Agent) Create .fpf/ directory structure if it does not exist: Show more
|
568 |
| 8854 | create-hook | neolabhq/context-engineering-kit |
Contains Hooks This skill uses Claude hooks which can execute code automatically in response to events. Review carefully before installing. Create Hook Command Analyze the project, suggest practical hooks, and create them with proper testing. Your Task (/create-hook) Analyze environment - Detect tooling and existing hooks Suggest hooks - Based on your project configuration Configure hook - Ask targeted questions and create the script Test & validate - Ensure the hook works correctly Your Workflo...
|
568 |
| 8855 | gcp-cloud-architect | alirezarezvani/claude-skills |
GCP Cloud Architect Design scalable, cost-effective Google Cloud architectures for startups and enterprises with infrastructure-as-code templates. Workflow Step 1: Gather Requirements Collect application specifications: Show more
|
567 |
| 8856 | llm-wiki | alirezarezvani/claude-skills |
LLM Wiki — Knowledge Distillation Pattern You are maintaining a persistent, compounding knowledge base. The wiki is not a chatbot — it is a compiled artifact where knowledge is distilled once and kept current, not re-derived on every query. Three-Layer Architecture Layer 1: Raw Sources (immutable) The user's original documents — articles, papers, notes, PDFs, conversation logs, bookmarks, and images (screenshots, whiteboard photos, diagrams, slide captures). These are never modified by the syste...
|
567 |
| 8857 | aws-skills | sickn33/antigravity-awesome-skills |
Aws Skills Overview AWS development with infrastructure automation and cloud architecture patterns When to Use This Skill Use this skill when you need to work with aws development with infrastructure automation and cloud architecture patterns. Instructions This skill provides guidance and patterns for aws development with infrastructure automation and cloud architecture patterns. For more information, see the source repository .
|
567 |
| 8858 | environment-setup-guide | sickn33/antigravity-awesome-skills |
Environment Setup Guide Overview Help developers set up complete development environments from scratch. This skill provides step-by-step guidance for installing tools, configuring dependencies, setting up environment variables, and verifying the setup works correctly. When to Use This Skill Use when starting a new project and need to set up the development environment Use when onboarding new team members to a project Use when switching to a new machine or operating system Use when troubleshoot...
|
567 |
| 8859 | patent-application-creator | robthepcguy/claude-patent-creator |
Complete end-to-end patent application creation from invention disclosure to USPTO-ready filing. When to Use Invoke this skill when users ask to: - Create a complete patent application - Draft a provisional patent application - Prepare a utility patent application - Write patent claims and specification - Generate a full patent filing package What This Skill Does Orchestrates the complete patent creation workflow: - Prior Art Search → Identify existing patents - Claims Drafting → Wr...
|
567 |
| 8860 | molecular-dynamics | k-dense-ai/scientific-agent-skills |
Molecular Dynamics Overview Molecular dynamics (MD) simulation computationally models the time evolution of molecular systems by integrating Newton's equations of motion. This skill covers two complementary tools: OpenMM ( https://openmm.org/ ): High-performance MD simulation engine with GPU support, Python API, and flexible force field support MDAnalysis ( https://mdanalysis.org/ ): Python library for reading, writing, and analyzing MD trajectories from all major simulation packages Installatio...
|
567 |
| 8861 | tanstack-ai | tanstack-skills/tanstack-skills |
Overview TanStack AI is a modular, provider-agnostic AI SDK with tree-shakeable adapters for OpenAI, Anthropic, Gemini, Ollama, and more. It provides streaming-first text generation, tool calling with approval workflows, structured output with Zod schemas, multimodal content support, and React hooks for chat/completion UIs. Core: @tanstack/ai Vanilla Client: @tanstack/ai-client (framework-agnostic) React: @tanstack/ai-react Solid: @tanstack/ai-solid Adapters: @tanstack/ai-openai , @tanstack/ai-a...
|
567 |
| 8862 | setup-codemap-cli | neolabhq/context-engineering-kit |
User Input: $ARGUMENTS Guide for setup Codemap CLI 1. Determine setup context Ask the user where they want to store the configuration: Options: Project level (shared via git) - Configuration tracked in version control, shared with team CLAUDE.md updates go to: ./CLAUDE.md Hook settings go to: ./.claude/settings.json Show more
|
567 |
| 8863 | load-issues | neolabhq/context-engineering-kit |
Load all open issues from the current GitHub repository and save them as markdown files in the ./specs/issues/ directory. Follow these steps: Use the gh CLI to list all open issues in the current repository: Run gh issue list --limit 100 to get all open issues For each open issue, fetch detailed information: Run gh issue view <number> --json number,title,body,state,createdAt,updatedAt,author,labels,assignees,url Extract all relevant metadata Create the issues directory: Run mkdir -p ./specs/issu...
|
567 |
| 8864 | create-command | neolabhq/context-engineering-kit |
Contains Shell Commands This skill contains shell command directives ( !`command` ) that may execute system commands. Review carefully before installing. Command Creator Assistant This meta-command helps create other commands by: Understanding the command's purpose Determining its category and pattern Choosing command location (project vs user) Generating the command file Creating supporting resources Updating documentation Show more
|
567 |
| 8865 | longbridge-news | longbridge/skills |
longbridge-news Prompt-only skill that aggregates news, filings, and community topics for a single stock — classifies them, distils a fact-only takeaway, and reports sentiment at coarse granularity. May call WebSearch as a clearly-labelled fallback. Response language : match the user's input language — Simplified Chinese / Traditional Chinese / English. When to use "NVDA 最近新闻" , "recent news on NVDA" , "NVDA 最近新聞" "茅台公告" , "700 港交所披露" , "NVDA 8-K" "市场对 X 财报怎么看" , "X 财报后股价为什么跌" — this is news + c...
|
566 |
| 8866 | marketing-psychology | alirezarezvani/claude-skills |
Marketing Psychology & Mental Models You are an expert in applying psychological principles and mental models to marketing. Your goal is to help users understand why people buy, how to influence behavior ethically, and how to make better marketing decisions. How to Use This Skill Check for product marketing context first: If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it before applying mental models. Use that context to tailor reco...
|
566 |
| 8867 | peer-review | davila7/claude-code-templates |
Scientific Critical Evaluation and Peer Review Overview Peer review is a systematic process for evaluating scientific manuscripts. Assess methodology, statistics, design, reproducibility, ethics, and reporting standards. Apply this skill for manuscript and grant review across disciplines with constructive, rigorous evaluation. When to Use This Skill This skill should be used when: Conducting peer review of scientific manuscripts for journals Evaluating grant proposals and research applications A...
|
566 |
| 8868 | diffity-tour | kamranahmedse/diffity |
Diffity Tour Skill You are creating a guided code tour — a narrated, step-by-step walkthrough of the codebase that answers the user's question or explains how a feature works. The tour opens in the browser with a sidebar showing the narrative and highlighted code sections. Arguments question (required): The user's question, topic, or concept. Examples: /diffity-tour how does authentication work? /diffity-tour explain the request lifecycle /diffity-tour how are comments stored and retrieved? /dif...
|
566 |
| 8869 | langfuse | sickn33/antigravity-awesome-skills |
Langfuse This skill helps you use Langfuse effectively across all common workflows: instrumenting applications, migrating prompts, debugging traces, and accessing data programmatically. Core Principles Follow these principles for ALL Langfuse work: Documentation First : NEVER implement based on memory. Always fetch current docs before writing code (Langfuse updates frequently) See the section below on how to access documentation. CLI for Data Access : Use langfuse-cli when querying/modifying Lan...
|
566 |
| 8870 | rdkit | k-dense-ai/scientific-agent-skills |
No SKILL.md available for this skill. View on GitHub
|
566 |
| 8871 | pysam | k-dense-ai/scientific-agent-skills |
Pysam Overview Pysam is a Python module for reading, manipulating, and writing genomic datasets. Read/write SAM/BAM/CRAM alignment files, VCF/BCF variant files, and FASTA/FASTQ sequences with a Pythonic interface to htslib. Query tabix-indexed files, perform pileup analysis for coverage, and execute samtools/bcftools commands. When to Use This Skill This skill should be used when: Working with sequencing alignment files (BAM/CRAM) Analyzing genetic variants (VCF/BCF) Extracting reference sequenc...
|
566 |
| 8872 | imaging-data-commons | k-dense-ai/scientific-agent-skills |
Imaging Data Commons Overview Use the idc-index Python package to query and download public cancer imaging data from the National Cancer Institute Imaging Data Commons (IDC). No authentication required for data access. Current IDC Data Version: v23 (always verify with IDCClient().get_idc_version() ) Primary tool: idc-index ( GitHub ) CRITICAL - Check package version and upgrade if needed (run this FIRST): import idc_index REQUIRED_VERSION = "0.11.14" Must match metadata.idc-index in this file i...
|
566 |
| 8873 | fluidsim | k-dense-ai/scientific-agent-skills |
FluidSim Overview FluidSim is an object-oriented Python framework for high-performance computational fluid dynamics (CFD) simulations. It provides solvers for periodic-domain equations using pseudospectral methods with FFT, delivering performance comparable to Fortran/C++ while maintaining Python's ease of use. Key strengths : Multiple solvers: 2D/3D Navier-Stokes, shallow water, stratified flows High performance: Pythran/Transonic compilation, MPI parallelization Complete workflow: Parameter co...
|
566 |
| 8874 | depmap | k-dense-ai/scientific-agent-skills |
DepMap — Cancer Dependency Map Overview The Cancer Dependency Map (DepMap) project, run by the Broad Institute, systematically characterizes genetic dependencies across hundreds of cancer cell lines using genome-wide CRISPR knockout screens (DepMap CRISPR), RNA interference (RNAi), and compound sensitivity assays (PRISM). DepMap data is essential for: Identifying which genes are essential for specific cancer types Finding cancer-selective dependencies (therapeutic targets) Validating oncology dr...
|
566 |
| 8875 | arboreto | k-dense-ai/scientific-agent-skills |
No SKILL.md available for this skill. View on GitHub
|
566 |
| 8876 | cubox | olcubo/cubox-cli |
cubox-cli Manage Cubox bookmarks via the cubox-cli command-line tool. Authentication If any command fails with "not logged in", do NOT ask the user to paste their API token into chat, and do NOT construct commands that embed the token on the command line . The agent must never type, store, or forward the user's token. Instead, pick one of these safe paths and tell the user to run it themselves in their own terminal: Interactive login (default for humans): cubox-cli auth login — the CLI will prom...
|
566 |
| 8877 | design-systems | mindrally/skills |
Design Systems Help the user build and scale design systems using frameworks from 4 product leaders who have built design systems at companies like Figma and Airbnb. How to Help When the user asks for help with design systems: Assess the need - Determine if they need consistency, speed, or both, and whether they're at the right stage for a design system Define the scope - Clarify whether they need a component library, design tokens, documentation, or all three Design for adoption - Help them mak...
|
566 |
| 8878 | autopilot | yeachan-heo/oh-my-claudecode |
Autopilot Skill Full autonomous execution from idea to working code. Overview Autopilot is the ultimate hands-off mode. Give it a brief product idea (2-3 lines) and it handles everything: Understands your requirements (Analyst) Designs the technical approach (Architect) Plans the implementation (Critic-validated) Builds with parallel agents (Ralph + Ultrawork) Tests until everything passes (UltraQA) Validates quality and security (Multi-architect review) Usage /oh-my-claudecode:autopilot <yo...
|
566 |
| 8879 | git-worktrees | neolabhq/context-engineering-kit |
Git Worktrees Overview Git worktrees enable checking out multiple branches simultaneously in separate directories, all sharing the same repository. Create a worktree instead of stashing changes or cloning separately. Core principle: One worktree per active branch. Switch contexts by changing directories, not branches. Core Concepts Concept Description Main worktree Original working directory from git clone or git init Linked worktree Additional directories created with git worktree add Shared .g...
|
566 |
| 8880 | status | neolabhq/context-engineering-kit |
Check Research Status Run ID: $ARGUMENTS parallel-cli research status " $ARGUMENTS " --json If CLI not found, tell user to run /parallel:setup .
|
566 |
| 8881 | opencode-mirror | different-ai/openwork |
$ npx skills add https://github.com/different-ai/openwork --skill opencode-mirror<div
|
565 |
| 8882 | plan | hyperb1iss/hyperskills |
Generate integration plan (SDK install) Based on what you detected, choose the right SDK and plan the minimal set of changes needed. This skill is nested under LaunchDarkly SDK Install (onboarding) ; the parent Step 2 is plan . Prior: Detect repository stack . Next: Apply code changes . Choose the right SDK Use the SDK recipes reference to match the detected stack to an SDK. Start with Top 10 SDKs (start here) in that file for common stacks; use the (other) sections for less common SDKs. The key...
|
565 |
| 8883 | dhdna-profiler | k-dense-ai/scientific-agent-skills |
DHDNA Profiler — Cognitive Pattern Extraction A structured system for extracting the cognitive fingerprint of any text's author. Based on the Digital Human DNA (DHDNA) framework — the theory that every mind has a unique signature pattern expressed through how it reasons, decides, values, and communicates. Published research: DHDNA Pre-print (DOI: 10.5281/zenodo.18736629) | IDNA Consolidation v2 (DOI: 10.5281/zenodo.18807387) Core Concept Just as biological DNA encodes physical identity through b...
|
565 |
| 8884 | neurokit2 | k-dense-ai/scientific-agent-skills |
NeuroKit2 Overview NeuroKit2 is a comprehensive Python toolkit for processing and analyzing physiological signals (biosignals). Use this skill to process cardiovascular, neural, autonomic, respiratory, and muscular signals for psychophysiology research, clinical applications, and human-computer interaction studies. When to Use This Skill Apply this skill when working with: Cardiac signals : ECG, PPG, heart rate variability (HRV), pulse analysis Brain signals : EEG frequency bands, microstates, c...
|
565 |
| 8885 | astropy | k-dense-ai/scientific-agent-skills |
Astropy Overview Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis. Use astropy for coordinate transformations, unit and quantity calculations, FITS file operations, cosmological calculations, precise time handling, tabular data manipulation, and astronomical image processing. When to Use This Skill Use astropy when tasks involve: Converting between celestial coordinate systems (ICRS, Galactic, FK5, AltAz, etc.) Workin...
|
565 |
| 8886 | esm | k-dense-ai/scientific-agent-skills |
No SKILL.md available for this skill. View on GitHub
|
565 |
| 8887 | pydicom | k-dense-ai/scientific-agent-skills |
No SKILL.md available for this skill. View on GitHub
|
565 |
| 8888 | pathml | k-dense-ai/scientific-agent-skills |
No SKILL.md available for this skill. View on GitHub
|
565 |
| 8889 | feishu-cli-bitable | riba2534/feishu-cli |
飞书多维表格(Bitable / Base) 通过 base/v3 API 操作飞书多维表格。 bitable 也支持 base 别名。 API 切换 :此技能已从旧的 bitable/v1 切换到新的 base/v3 。字段名 app_token 和 base_token 在飞书文档里是同一个值的两种叫法(老 v1 叫 app_token,新 v3 叫 base_token),CLI 只认 --base-token ( --app-token 已删除)。从多维表格 URL 里 /base/<token> 或 /bitable/<token> 片段里取 token 即可。 前置条件 认证 :所有命令默认使用 User Access Token (执行 feishu-cli auth login 登录) App 凭证 :应用 App ID + App Secret(base/v3 需要 X-App-Id header,自动注入) 命令速查 基础(3 命令) 创建多维表格 feishu-cli bitable create --name "项目管理" --time-zone Asia/S...
|
565 |
| 8890 | malware-detection-and-removal | aradotso/security-skills |
Malware Detection and Removal Skill by ara.so — Security Skills collection. ⚠️ WARNING: This Repository is Malicious This project is NOT legitimate Bitdefender software. It is a malware distribution repository disguising itself as cracked security software. This skill documents how to identify and handle such threats. What This Repository Actually Is This is a malicious repository that: Falsely claims to provide "cracked" Bitdefender Total Security Uses SEO-optimized keywords to attract victims ...
|
565 |
| 8891 | build-mcp | neolabhq/context-engineering-kit |
MCP Server Development Guide Overview To create high-quality MCP (Model Context Protocol) servers that enable LLMs to effectively interact with external services, use this skill. An MCP server provides tools that allow LLMs to access external services and APIs. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks using the tools provided. Process 🚀 High-Level Workflow Creating a high-quality MCP server involves four main phases: Phase 1: Deep Resear...
|
565 |
| 8892 | reset | neolabhq/context-engineering-kit |
Reset Cycle Reset the FPF reasoning cycle to start fresh. Action (Run-Time) Option 1: Soft Reset (Archive Current Session) Create a session archive and clear active work: Create Session Archive Create a file in .fpf/sessions/ to record the completed/abandoned session: Show more
|
565 |
| 8893 | setup-arxiv-mcp | neolabhq/context-engineering-kit |
User Input: $ARGUMENTS Guide for setup arXiv MCP server via Docker MCP 1. Determine setup context Ask the user where they want to store the configuration: Options: Project level (shared via git) - Configuration tracked in version control, shared with team CLAUDE.md updates go to: ./CLAUDE.md Show more
|
565 |
| 8894 | gpt-image-2-style-library | freestylefly/awesome-gpt-image-2 |
GPT-Image2 Style Library Use this skill to turn a user's image-generation intent into a production-ready GPT-Image2 prompt using the awesome-gpt-image-2 style library. Example Output Example request: 用 gpt-image-2-style-library 技能生成城市生命系统图谱 Reference Read references/style-library.md before choosing a template or style. The reference is generated from data/style-library.json in the repository. Prefer the reference over memory when template names, categories, covers, or style tags matter. Workflow...
|
565 |
| 8895 | gws-licensing | googleworkspace/cli |
licensing (v1) PREREQUISITE: Read ../gws-shared/SKILL.md for auth, global flags, and security rules. If missing, run gws generate-skills to create it. gws licensing < resource > < method > [ flags ] API Resources licenseAssignments delete — Revoke a license. get — Get a specific user's license by product SKU. insert — Assign a license. listForProduct — List all users assigned licenses for a specific product SKU. listForProductAndSku — List all users assigned licenses for a specific product SKU. ...
|
564 |
| 8896 | domain-cloud-native | zhanghandong/rust-skills |
No SKILL.md available for this skill. View on GitHub Installs 618 Repository actionbook/rust-skills GitHub Stars 1.2K First Seen Jan 23, 2026
|
564 |
| 8897 | symfony:quality-checks | makfly/superpowers-symfony |
$ npx skills add https://github.com/makfly/superpowers-symfony --skill symfony:quality-checks<div
|
564 |
| 8898 | create-workflow | vapiai/skills |
Vapi Workflow Creation Build structured conversation workflows with visual node-based flows. Workflows provide deterministic control over conversation steps, branching logic, and tool execution. Setup: Ensure VAPI_API_KEY is set. See the setup-api-key skill if needed. When to Use Workflows vs Assistants Feature Assistant Workflow Simple conversations Best choice Over-engineered Multi-step processes Can work with good prompting Best choice Deterministic flow Hard to guarantee Built-in Conditional...
|
564 |
| 8899 | maestro | xenitv1/claude-code-maestro |
MAESTRO: THE ARCHITECTURAL GOVERNANCE FRAMEWORK Maestro is not a tool; it is a Governance Protocol that transforms an AI agent from a reactive coder into a proactive Elite Software Architect. It enforces discipline, maintains project continuity, and orchestrates specialized expertise. � The Prime Directives (Mandatory) Law of Initiation (Mandatory Priority): Architectural continuity is non-negotiable. You MUST initiate every session by reading files in this strict sequence: 1. SKILL.md (Govern...
|
564 |
| 8900 | codebase-onboarding | alirezarezvani/claude-skills |
Codebase Onboarding Systematically analyze an unfamiliar codebase and produce a structured onboarding guide. Designed for developers joining a new project or setting up Claude Code in an existing repo for the first time. When to Use First time opening a project with Claude Code Joining a new team or repository User asks "help me understand this codebase" User asks to generate a CLAUDE.md for a project User says "onboard me" or "walk me through this repo" How It Works Phase 1: Reconnaissance Gath...
|
564 |