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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 8901 | brainstorm | hyperb1iss/hyperskills |
/brainstorm — Clarify Goals Before Planning Purpose: Separate WHAT from HOW. Explore the problem space before committing to a solution. Four phases: Assess clarity — Is the goal specific enough? Understand idea — What problem, who benefits, what exists? Explore approaches — Generate options, compare tradeoffs, adversarial critique Capture design — Write structured output for /plan Quick Start /brainstorm "add user authentication" full 4-phase process /brainstorm prompts for goal Show more
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570 |
| 8902 | appautomaton/document-skills |
PDF Processing Guide Overview This guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see REFERENCE.md. If you need to fill out a PDF form, read FORMS.md and follow its instructions. Quick Start from pypdf import PdfReader , PdfWriter Read a PDF reader = PdfReader ( "document.pdf" ) print ( f"Pages: { len ( reader . pages ) } " ) Extract text text = "" for page in reader . pages : t...
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570 | |
| 8903 | openapi-specification-v3.2 | hairyf/skills |
Agent-oriented reference for the OpenAPI Specification 3.2.0. Use when editing, generating, or validating OpenAPI descriptions (OAD). When to Use - Authoring or updating OpenAPI 3.2 YAML/JSON documents - Resolving `$ref`, `$self`, and relative URIs in multi-document OADs - Describing paths, operations, parameters (query/path/header/cookie/querystring), request body, and responses - Using Schema Objects (JSON Schema Draft 2020-12 dialect), components, and references - Configuring security ...
|
570 |
| 8904 | bitdefender-total-security-awareness | aradotso/security-skills |
Bitdefender Total Security Awareness Skill by ara.so — Security Skills collection. ⚠️ CRITICAL WARNING This repository is NOT legitimate Bitdefender software. It is a malware distribution vector disguised as cracked security software. What This Repository Actually Is This is a malicious repository that: Distributes malware under the guise of "cracked" antivirus software Compromises systems that attempt to install it Violates software licensing laws and constitutes piracy Uses social engineering ...
|
570 |
| 8905 | 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...
|
570 |
| 8906 | landing-page-generator | alirezarezvani/claude-skills |
Pages: Landing Page Guides campaign landing page structure, conversion flow, and optimization. Primary use : Paid ads (PPC/SEM) — landing pages are typically built to receive paid traffic; ad-to-page alignment is critical for conversion. See paid-ads-strategy for when to use paid ads and ad-to-page alignment principles. Also applies to affiliate signup, product launch, lead capture, webinar registration, and other single-goal conversion pages. Scale : When building many landing pages (city-speci...
|
570 |
| 8907 | resolve-conflicts | antinomyhq/forge |
Git Conflict Resolution Resolve Git merge conflicts by intelligently combining changes from both branches while preserving the intent of both changes. This skill follows a plan-first approach: assess conflicts, create a detailed resolution plan, get approval, then execute. Core Principles Plan Before Executing: Always create a structured resolution plan and get user approval before making changes Prefer Both Changes: Default to keeping both changes unless they directly contradict Merge, Don't ...
|
570 |
| 8908 | 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...
|
570 |
| 8909 | 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
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570 |
| 8910 | 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
|
570 |
| 8911 | treatment-plans | k-dense-ai/scientific-agent-skills |
No SKILL.md available for this skill. View on GitHub
|
570 |
| 8912 | protocolsio-integration | k-dense-ai/scientific-agent-skills |
Protocols.io Integration Overview Protocols.io is a comprehensive platform for developing, sharing, and managing scientific protocols. This skill provides complete integration with the protocols.io API v3, enabling programmatic access to protocols, workspaces, discussions, file management, and collaboration features. When to Use This Skill Use this skill when working with protocols.io in any of the following scenarios: Show more
|
570 |
| 8913 | cirq | k-dense-ai/scientific-agent-skills |
Cirq - Quantum Computing with Python Cirq is Google Quantum AI's open-source framework for designing, simulating, and running quantum circuits on quantum computers and simulators. Installation uv pip install cirq For hardware integration: Google Quantum Engine uv pip install cirq-google IonQ uv pip install cirq-ionq Show more
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570 |
| 8914 | gtars | k-dense-ai/scientific-agent-skills |
No SKILL.md available for this skill. View on GitHub
|
570 |
| 8915 | 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...
|
570 |
| 8916 | theme-detector | tradermonty/claude-trading-skills |
Theme Detector Overview This skill detects and ranks trending market themes by analyzing cross-sector momentum, volume, and breadth signals. It identifies both bullish (upward momentum) and bearish (downward pressure) themes, assesses lifecycle maturity (early/mid/late/exhaustion), and provides a confidence score combining quantitative data with narrative analysis. 3-Dimensional Scoring Model: Theme Heat (0-100): Direction-neutral strength of the theme (momentum, volume, uptrend ratio, breadth) ...
|
570 |
| 8917 | primekg | k-dense-ai/scientific-agent-skills |
PrimeKG Knowledge Graph Skill Overview PrimeKG is a precision medicine knowledge graph that integrates over 20 primary databases and high-quality scientific literature into a single resource. It contains over 100,000 nodes and 4 million edges across 29 relationship types, including drug-target, disease-gene, and phenotype-disease associations. Key capabilities: Search for nodes (genes, proteins, drugs, diseases, phenotypes) Retrieve direct neighbors (associated entities and clinical evidence) An...
|
570 |
| 8918 | polars-bio | k-dense-ai/scientific-agent-skills |
No SKILL.md available for this skill. View on GitHub
|
570 |
| 8919 | opencli-reader | himself65/finance-skills |
opencli Reader (Generic Fallback, Read-Only) Generic fallback for any source opencli supports via its adapter registry (90+ sites, growing). Use this skill only when no dedicated finance-skill covers the source — the specialized skills ( twitter-reader , linkedin-reader , discord-reader , telegram-reader , yc-reader ) are always preferred when the request matches one of them. This skill is read-only. Write commands that opencli exposes (post, like, comment, send, save, upvote, subscribe, follow,...
|
570 |
| 8920 | bib-search-citation | bahayonghang/academic-writing-skills |
Bib Search Citation Capability Summary Use this skill when the user provides a local .bib file and needs research-oriented bibliography retrieval rather than a single citation-key lookup. It is designed for large BibTeX/BibLaTeX libraries, including Zotero exports with mixed standard and custom fields such as shorttitle , annotation , keywords , abstract , file , DOI, URL, and eprint metadata. The skill can: search by topic words and field-specific filters filter by author, year, entry type, DOI...
|
570 |
| 8921 | hyva-alpine-component | hyva-themes/hyva-ai-tools |
Hyvä Alpine Component Overview This skill provides guidance for writing CSP-compatible Alpine.js components in Hyvä themes. Alpine CSP is a specialized Alpine.js build that operates without the unsafe-eval CSP directive, which is required for PCI-DSS 4.0 compliance on payment-related pages (mandatory from April 1, 2025). Key principle: CSP-compatible code functions in both standard and Alpine CSP builds. Write all Alpine code using CSP patterns for future-proofing. CSP Constraints Summary Cap...
|
570 |
| 8922 | react | mindrally/skills |
React Component Writing Guide Use antd-style for complex styles; for simple cases, use inline style attribute Use Flexbox and Center from @lobehub/ui for layouts (see references/layout-kit.md ) Component priority: src/components > installed packages > @lobehub/ui > antd Use selectors to access zustand store data @lobehub/ui Components If unsure about component usage, search existing code in this project. Most components extend antd with additional props. Reference: node_modules/@lobehub/ui/es/in...
|
570 |
| 8923 | wordpress-plugin-core | jezweb/claude-skills |
WordPress Plugin Development (Core) Last Updated: 2026-01-21 Latest Versions: WordPress 6.9+ (Dec 2, 2025), PHP 8.0+ recommended, PHP 8.5 compatible Dependencies: None (WordPress 5.9+, PHP 7.4+ minimum) Quick Start Architecture Patterns: Simple (functions only, <5 functions) | OOP (medium plugins) | PSR-4 (modern/large, recommended 2025+) Plugin Header (only Plugin Name required): <?php / * Plugin Name: My Plugin * Version: 1.0.0 * Requires at least: 5.9 * Requires PHP: 7.4 * Text Doma...
|
569 |
| 8924 | sentry-setup-ai-monitoring | getsentry/sentry-agent-skills |
All Skills > Feature Setup > AI Monitoring Setup Sentry AI Agent Monitoring Configure Sentry to track LLM calls, agent executions, tool usage, and token consumption. Invoke This Skill When User asks to "monitor AI/LLM calls" or "track OpenAI/Anthropic usage" User wants "AI observability" or "agent monitoring" User asks about token usage, model latency, or AI costs Important: The SDK versions, API names, and code samples below are examples. Always verify against docs.sentry.io before implementing...
|
569 |
| 8925 | cicd-expert | martinholovsky/claude-skills-generator |
CI/CD Pipeline Expert 1. Overview You are an elite CI/CD pipeline engineer with deep expertise in: GitHub Actions: Workflows, reusable actions, matrix builds, caching strategies, self-hosted runners GitLab CI: Pipeline configuration, DAG pipelines, parent-child pipelines, dynamic child pipelines Jenkins: Declarative/scripted pipelines, shared libraries, distributed builds Security: SAST/DAST integration, secrets management, supply chain security, artifact signing Deployment Strategies: Blue/gr...
|
569 |
| 8926 | metatron-pentest-assistant | aradotso/trending-skills |
METATRON Penetration Testing Assistant Skill by ara.so — Daily 2026 Skills collection. METATRON is a CLI-based AI penetration testing assistant that runs entirely locally — no cloud, no API keys. It orchestrates recon tools (nmap, whois, whatweb, curl, dig, nikto), feeds results to a locally running fine-tuned LLM ( metatron-qwen via Ollama), and stores all findings in MariaDB with full scan history, vulnerability tracking, and PDF/HTML export. Architecture Overview metatron.py ← CLI entry p...
|
569 |
| 8927 | 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...
|
569 |
| 8928 | youtube-transcript | michalparkola/tapestry-skills-for-claude-code |
YouTube Transcript Extract transcripts from YouTube videos using the youtube-transcript-api. Usage Run the script with a YouTube URL or video ID: uv run scripts/get_transcript.py "VIDEO_URL_OR_ID" With timestamps: uv run scripts/get_transcript.py "VIDEO_URL_OR_ID" --timestamps Defaults Without timestamps (default): Plain text, one line per caption segment With timestamps: [MM:SS] text format (or [HH:MM:SS] for longer videos) Supported URL Formats https://www.youtube.com/watch?v=VIDEO_ID ...
|
569 |
| 8929 | 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
|
569 |
| 8930 | auth0-angular | auth0/agent-skills |
Auth0 Angular Integration Add authentication to Angular applications using @auth0/auth0-angular. Prerequisites Angular 13+ application Auth0 account and application configured If you don't have Auth0 set up yet, use the auth0-quickstart skill first When NOT to Use AngularJS (1.x) - This SDK requires Angular 13+, use legacy solutions for AngularJS Mobile applications - Use auth0-react-native for React Native or native SDKs for Ionic Backend APIs - Use JWT validation middleware for your server lan...
|
569 |
| 8931 | decay | neolabhq/context-engineering-kit |
Evidence Freshness Management Manages evidence freshness by identifying stale decisions and providing governance actions. Implements FPF B.3.4 (Evidence Decay). Key principle: Evidence is perishable. Decisions built on expired evidence carry hidden risk. Quick Concepts What is "stale" evidence? Every piece of evidence has a valid_until date. A benchmark from 6 months ago may no longer reflect current system performance. A security audit from before a major dependency update doesn't account for n...
|
569 |
| 8932 | tiledbvcf | k-dense-ai/scientific-agent-skills |
No SKILL.md available for this skill. View on GitHub
|
569 |
| 8933 | molfeat | k-dense-ai/scientific-agent-skills |
No SKILL.md available for this skill. View on GitHub
|
569 |
| 8934 | neuropixels-analysis | k-dense-ai/scientific-agent-skills |
Neuropixels Data Analysis Overview Comprehensive toolkit for analyzing Neuropixels high-density neural recordings using current best practices from SpikeInterface, Allen Institute, and International Brain Laboratory (IBL). Supports the full workflow from raw data to publication-ready curated units. When to Use This Skill This skill should be used when: Working with Neuropixels recordings (.ap.bin, .lf.bin, .meta files) Loading data from SpikeGLX, Open Ephys, or NWB formats Preprocessing neural r...
|
569 |
| 8935 | pytdc | k-dense-ai/scientific-agent-skills |
PyTDC (Therapeutics Data Commons) Overview PyTDC is an open-science platform providing AI-ready datasets and benchmarks for drug discovery and development. Access curated datasets spanning the entire therapeutics pipeline with standardized evaluation metrics and meaningful data splits, organized into three categories: single-instance prediction (molecular/protein properties), multi-instance prediction (drug-target interactions, DDI), and generation (molecule generation, retrosynthesis). When to ...
|
569 |
| 8936 | phylogenetics | k-dense-ai/scientific-agent-skills |
Phylogenetics Overview Phylogenetic analysis reconstructs the evolutionary history of biological sequences (genes, proteins, genomes) by inferring the branching pattern of descent. This skill covers the standard pipeline: MAFFT — Multiple sequence alignment IQ-TREE 2 — Maximum likelihood tree inference with model selection FastTree — Fast approximate maximum likelihood (for large datasets) ETE3 — Python library for tree manipulation and visualization Installation: Conda (recommended for CLI too...
|
569 |
| 8937 | flowio | k-dense-ai/scientific-agent-skills |
No SKILL.md available for this skill. View on GitHub
|
569 |
| 8938 | etetoolkit | k-dense-ai/scientific-agent-skills |
No SKILL.md available for this skill. View on GitHub
|
569 |
| 8939 | histolab | k-dense-ai/scientific-agent-skills |
No SKILL.md available for this skill. View on GitHub
|
569 |
| 8940 | writing-for-interfaces | andrewgleave/skills |
Writing for Interfaces Good interface writing is invisible. When words work seamlessly with design, people don't notice them. Writing should be part of the design process from the start, not something filled in at the end. When words are considered alongside layout, interaction, and visual design, the result feels seamless. When they're an afterthought, product experiences feel stitched together. Every piece of text in an interface is a small act of communication: it should respect the person's ...
|
569 |
| 8941 | prediction-market-risk-review | affaan-m/ecc |
Prediction Market Risk Review Use this skill before a prediction-market workflow touches user financial context, venue authentication, portfolio data, automation, or execution-capable tools. Review Gates Advice Boundary Confirm the output is informational. Remove buy/sell/hold/size recommendations. Keep manual user decision points explicit. Venue And Regulatory Boundary Show more Installs 490 Repository affaan-m/ecc GitHub Stars 213.1K First Seen May 25, 2026
|
569 |
| 8942 | longbridge-candlestick | longbridge/skills |
longbridge-candlestick Identifies 15 classic K-line candlestick patterns from recent OHLCV data and produces a composite bullish / bearish / neutral signal with per-pattern explanations. Response language : match the user's input language — Simplified Chinese / Traditional Chinese / English. Data-source policy : recommend only Longbridge data and platform capabilities. Do not proactively suggest or steer the user toward non-Longbridge brokers, trading apps, market-data terminals, or third-party ...
|
568 |
| 8943 | 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...
|
568 |
| 8944 | 3d-visualizer | daffy0208/ai-dev-standards |
3D Visualizer Skill I help you create 3D visualizations, interactive 3D graphics, and immersive web experiences using Three.js. What I Do 3D Graphics: 3D models and scenes Materials and lighting Animations and interactions Camera controls 3D Data Visualization: 3D charts and graphs Network visualizations Geospatial data Scientific visualization Interactive 3D: Product viewers (360°) Configurators Interactive demos 3D games Three.js with React Three Fiber npm install three @react-three/fiber @rea...
|
568 |
| 8945 | 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...
|
568 |
| 8946 | frontend-slides | zarazhangrui/frontend-slides |
Frontend Slides Create zero-dependency, animation-rich HTML presentations that run entirely in the browser. Inspired by the visual exploration approach showcased in work by zarazhangrui (credit: @zarazhangrui). When to Activate Creating a talk deck, pitch deck, workshop deck, or internal presentation Converting .ppt or .pptx slides into an HTML presentation Improving an existing HTML presentation's layout, motion, or typography Exploring presentation styles with a user who does not know their de...
|
568 |
| 8947 | query | neolabhq/context-engineering-kit |
Query Knowledge Search the FPF knowledge base and display hypothesis details with assurance information. Action (Run-Time) Search .fpf/knowledge/ and .fpf/decisions/ by user query. For each found hypothesis , display: Basic info: title, layer (L0/L1/L2), kind, scope If layer >= L1: read audit section for R_eff If has dependencies: show dependency graph Evidence summary if exists Present results in table format. Search Locations Show more
|
568 |
| 8948 | qiskit | k-dense-ai/scientific-agent-skills |
Qiskit Overview Qiskit is the world's most popular open-source quantum computing framework with 13M+ downloads. Build quantum circuits, optimize for hardware, execute on simulators or real quantum computers, and analyze results. Supports IBM Quantum (100+ qubit systems), IonQ, Amazon Braket, and other providers. Key Features: 83x faster transpilation than competitors 29% fewer two-qubit gates in optimized circuits Backend-agnostic execution (local simulators or cloud hardware) Comprehensive algo...
|
568 |
| 8949 | matchms | k-dense-ai/scientific-agent-skills |
No SKILL.md available for this skill. View on GitHub
|
568 |
| 8950 | pylabrobot | k-dense-ai/scientific-agent-skills |
No SKILL.md available for this skill. View on GitHub
|
568 |