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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 9051 | typst-author | jihe520/mathmodelagent |
typst-author skill Overview This skill helps agents generate, edit, and reason about Typst documents. It provides quick‑start examples, detailed workflows, and links to the full Typst documentation (guides, tutorials, reference). Minimal document example set document(title: "My Document", author: "Author Name") set page(numbering: "1") set text(lang: "en") Show more Installs 848 Repository jihe520/mathmodelagent GitHub Stars 3.5K First Seen Jun 5, 2026 Security Audits Gen Agent Trust Hub Pass So...
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1.8K |
| 9052 | loop-factory | juliusbrussee/skills |
Loop Factory Loop Factory turns "ask an agent to build something" into a visible assembly line. Each task is a markdown spec . The folder the spec lives in is its state. Agents implement and verify; they never decide what to build. 📥 inbox/ 🔧 active/ 📦 archive/ tasks not ──► task an agent ──► finished work, started yet is building now reviewed + accepted The one rule that governs everything: automate implementation and verification, not product decisions. I...
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1.8K |
| 9053 | canva-creator | anthropics/knowledge-work-plugins |
Canva Creator Scope This skill handles a campaign in five sequential stages, each gated by owner approval: brief → calendar → asset inventory → Canva designs → copy → HubSpot staging Path Channels What this skill produces Canva (social) Instagram, Facebook, X/Twitter, LinkedIn Canva design + caption + scheduled HubSpot post Text-only Email (newsletter, marketing, drip) Subject + preheader + body, surfaced inline for the owner to send Show more Installs 498 Repository anthropics/know…-plugins Git...
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1.8K |
| 9054 | domain-modeling | pandoscope/skills |
Domain Modeling Actively build and sharpen the project's domain model as you design. This is the active discipline — challenging terms, inventing edge-case scenarios, and writing the glossary and decisions down the moment they crystallise. (Merely reading CONTEXT.md for vocabulary is not this skill — that's a one-line habit any skill can do. This skill is for when you're changing the model, not just consuming it.) File structure Most repos have a single context: / ├── CONTEXT.md ├── docs/ │ └─...
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1.8K |
| 9055 | video-analysis | starchild-ai-agent/official-skills |
Video Analysis Analyze video files using either native model understanding or frame extraction + transcription . How It Works analyze_video(path, question) │ ├─ file_size ≤ threshold (default 20MB) │ → Send video to a supports_video model (default Gemini 3.1 Flash Lite) │ → Model sees full video natively (best quality) │ └─ file_size > threshold → ffmpeg extracts keyframes (scene detection for long videos) → Whisper transcribes audio track → Returns frame image paths + transcript text → ...
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1.8K |
| 9056 | configs-create | launchdarkly/ai-tooling |
Create Config You're using a skill that will guide you through creating a config in LaunchDarkly. Your job is to understand the use case, choose the right mode, create the config and its variations, and verify everything is set up correctly. ⚠️ This skill creates a config — it does not make it servable. A freshly-created config has its fallthrough pointing at an auto-generated disabled variation , not at the variation you just created. The SDK will return ai_config.enabled=False on every evaluat...
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1.8K |
| 9057 | configs-variations | launchdarkly/ai-tooling |
Config Variations You're using a skill that will guide you through testing and optimizing configs through variations. Your job is to design experiments, create variations, and systematically find what works best. Prerequisites This skill requires the remotely hosted LaunchDarkly MCP server to be configured in your environment. Primary MCP tool: clone-ai-config-variation -- clone a baseline variation with selective overrides (recommended for experimentation) Alternative MCP tools (for more contro...
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1.8K |
| 9058 | code-quality | tursodatabase/turso |
Code Quality Review Review $ARGUMENTS (or the whole app if no argument is given) for code quality issues. Work through every step below in order and report all findings with file paths and line numbers. Step 1 — Run the linter first Before reading any code manually, get a baseline from the automated tools: pnpm run lint List every error and warning. Fix all errors before proceeding — lint errors are not negotiable. Warnings should be reviewed and resolved unless there is a documented exception. ...
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1.8K |
| 9059 | grokipedia-recommendations | kostja94/marketing-skills |
Platforms: Grokipedia Guides adding recommendations, links, or content to Grokipedia. Grokipedia is a high-authority platform for parasite SEO and GEO (AI citation visibility). See parasite-seo for parasite SEO strategy. Grokipedia is xAI's AI-generated encyclopedia; ChatGPT, Perplexity, and other AI tools cite it. On each invocation : On first use in the conversation, output the complete response (Introduction, Importance, Methods, Rules, Avoid, Action). On subsequent use or when the user asks ...
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1.8K |
| 9060 | pptx | k-dense-ai/scientific-agent-skills |
PPTX Skill Quick Reference Task Guide Read/analyze content python -m markitdown presentation.pptx Edit or create from template Read editing.md Create from scratch Read pptxgenjs.md Reading Content Text extraction python -m markitdown presentation.pptx Visual overview python scripts/thumbnail.py presentation.pptx Raw XML python scripts/office/unpack.py presentation.pptx unpacked/ Editing Workflow Read editing.md for full details. Analyze template with thumbnail.py Unpack → manipulate slides → ...
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1.8K |
| 9061 | google-search-console | kostja94/marketing-skills |
Analytics: Google Search Console Guides analysis of Google Search Console (GSC) data: performance metrics, indexing, sitemaps, Core Web Vitals, and rich results. Covers best practices for monthly monitoring and actionable insights. When invoking : On first use , if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output. Scope Performance : Clicks, impressions, CTR...
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1.8K |
| 9062 | agents-harden | aws/agent-toolkit-for-aws |
harden Prepare your AgentCore agent for production — security, reliability, and performance. When to use You're about to take an agent to production You want a checklist of what to review before launch You want to restrict who can call your agent You want to scope down IAM permissions from the defaults You're hitting throttling or quota errors (loads references/limits.md ) You need to tune session lifecycle for your workload You're running long-running background work in your agent Input No argu...
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1.8K |
| 9063 | docx | k-dense-ai/scientific-agent-skills |
DOCX creation, editing, and analysis Overview A .docx file is a ZIP archive containing XML files. Quick Reference Task Approach Read/analyze content pandoc or unpack for raw XML Create new document Use docx-js - see Creating New Documents below Edit existing document Unpack → edit XML → repack - see Editing Existing Documents below Converting .doc to .docx Legacy .doc files must be converted before editing: python scripts/office/soffice.py --headless --convert-to docx document.doc Reading Conten...
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1.8K |
| 9064 | configs-targeting | launchdarkly/ai-tooling |
Config Targeting Configure targeting rules for configs to control which variations serve to different contexts. Works the same for both completion and agent mode. Prerequisites LaunchDarkly account with AgentControl enabled API access token with write permissions Project key and environment key Existing config with variations (use configs-create skill) API Key Detection Check environment variables - LAUNCHDARKLY_API_KEY , LAUNCHDARKLY_API_TOKEN , LD_API_KEY Check MCP config - Claude: ~/.claude/c...
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1.8K |
| 9065 | configs-update | launchdarkly/ai-tooling |
Config Update & Lifecycle You're using a skill that will guide you through updating, archiving, and deleting configs and their variations. Your job is to understand the current state of the config, make the changes, and verify the result. Prerequisites This skill requires the remotely hosted LaunchDarkly MCP server to be configured in your environment. Required MCP tools: get-ai-config-health -- assess config health before making changes (detects missing models, orphaned tools, empty configs) ge...
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1.8K |
| 9066 | skill-creator | apollographql/skills |
Skill Creator A skill for creating new skills and iteratively improving them. At a high level, the process of creating a skill goes like this: Decide what you want the skill to do and roughly how it should do it Write a draft of the skill Create a few test prompts and run claude-with-access-to-the-skill on them Help the user evaluate the results both qualitatively and quantitatively While the runs happen in the background, draft some quantitative evals if there aren't any (if there are some, you...
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1.8K |
| 9067 | postgresql-database-engineering | manutej/luxor-claude-marketplace |
PostgreSQL Database Engineering A comprehensive skill for professional PostgreSQL database engineering, covering everything from query optimization and indexing strategies to high availability, replication, and production database management. This skill enables you to design, optimize, and maintain high-performance PostgreSQL databases at scale. When to Use This Skill Use this skill when: Designing database schemas for high-performance applications Optimizing slow queries and improving datab...
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1.8K |
| 9068 | adopt-spec | zernie/vigiles |
Start a typed CLAUDE.md.spec.ts from an existing hand-written CLAUDE.md (or AGENTS.md). This is the non-destructive adoption path — you keep your existing instruction file as the starting point and get type safety going forward. Adoption rules Adoption is the safe, faithful on-ramp — never an upgrade in disguise. These are non-negotiable: Faithful. Preserve every rule, command, key file, and prose section as-is. Invent nothing — the spec must compile back to ~the user's existing file. Non-destru...
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1.8K |
| 9069 | seo-local-business | jezweb/claude-skills |
SEO Local Business Generate a complete SEO package for local business websites. Produces meta tags, structured data, robots.txt, and sitemap.xml. What You Produce Complete <head> section with meta tags, Open Graph, Twitter Cards JSON-LD structured data (LocalBusiness + Service + FAQ schemas) robots.txt sitemap.xml Workflow Step 1: Gather Business Info Ask for (or extract from existing site): Required Optional Business name ABN Primary service Opening hours Location (city/suburb) Social media URL...
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1.8K |
| 9070 | zustand | vercel-labs/json-render |
LobeHub Zustand State Management Action Type Hierarchy 1. Public Actions Main interfaces for UI components: Naming: Verb form ( createTopic , sendMessage ) Responsibilities: Parameter validation, flow orchestration 2. Internal Actions ( internal_* ) Core business logic implementation: Naming: internal_ prefix ( internal_createTopic ) Responsibilities: Optimistic updates, service calls, error handling Should not be called directly by UI 3. Dispatch Methods ( internal_dispatch* ) State update hand...
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1.8K |
| 9071 | branding | kostja94/marketing-skills |
Strategies: Branding Guides brand strategy: purpose, values, positioning, storytelling, voice, and visual identity. Companies with consistent branding see 23–33% revenue lift; people remember stories ~22× more than facts alone. Use this skill when defining a new brand, auditing consistency, or aligning messaging across touchpoints. When invoking : On first use , if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or wh...
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1.8K |
| 9072 | snippets | launchdarkly/ai-tooling |
Config Prompt Snippets You're using a skill that will guide you through creating and managing prompt snippets in LaunchDarkly. Your job is to identify reusable text, create snippets, reference them in config variations, and verify everything is wired correctly. Prerequisites This skill requires the remotely hosted LaunchDarkly MCP server to be configured in your environment. Required MCP tools: create-prompt-snippet -- create a new reusable text block list-prompt-snippets -- browse existing snip...
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1.8K |
| 9073 | agent-graphs | launchdarkly/ai-tooling |
Config Agent Graphs You're using a skill that will guide you through creating and managing agent graphs in LaunchDarkly. Your job is to design the graph topology, create it with the right edges and handoffs, and verify the routing between config nodes. Prerequisites This skill requires the remotely hosted LaunchDarkly MCP server to be configured in your environment. Required MCP tools: create-agent-graph -- create a new graph with nodes and edges get-agent-graph -- inspect a graph's structure an...
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1.8K |
| 9074 | lbo-model | anthropics/financial-services |
TEMPLATE REQUIREMENT This skill uses templates for LBO models. Always check for an attached template file first. Before starting any LBO model: If a template file is attached/provided : Use that template's structure exactly - copy it and populate with the user's data If no template is attached : Ask the user: "Do you have a specific LBO template you'd like me to use? If not, I can use the standard template which includes Sources & Uses, Operating Model, Debt Schedule, and Returns Analysis." If u...
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1.8K |
| 9075 | fixed-income-portfolio | anthropics/financial-services |
Fixed Income Portfolio Analysis You are an expert fixed income portfolio analyst. Combine bond pricing, reference data, cashflow projections, and scenario stress testing from MCP tools into comprehensive portfolio reviews. Focus on aggregating tool outputs into portfolio-level metrics and risk exposures — let the tools compute bond-level analytics, you aggregate and present. Core Principles Always compute portfolio-level metrics as market-value weighted averages (yield, duration, convexity). Pri...
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1.8K |
| 9076 | projects | launchdarkly/ai-tooling |
LaunchDarkly Projects Setup You're using a skill that will guide you through setting up LaunchDarkly project management in a codebase. Your job is to explore the codebase to understand the stack and patterns, assess what approach makes sense, choose the right implementation path from the references, execute the setup, and verify it works. Prerequisites Choose one: LaunchDarkly API access token with projects:write permission LaunchDarkly MCP server configured in your environment Core Principles U...
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1.8K |
| 9077 | built-in-metrics | launchdarkly/ai-tooling |
Agent Metrics Instrumentation You're using a skill that wires LaunchDarkly agent metrics around an existing provider call. Your job is to audit what's already there, pick the right tier from the ladder below, and implement it with the least ceremony that still captures the metrics the Monitoring tab needs (duration, input/output tokens, success/error, plus TTFT when streaming). The single most important thing to get right: default to the highest tier that fits the shape of the call . Going lower...
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1.8K |
| 9078 | online-evals | launchdarkly/ai-tooling |
Config Online Evaluations Attach judges to config variations for automatic quality scoring using LLM-as-a-judge methodology. Judges evaluate responses and return scores between 0.0 and 1.0. Prerequisites LaunchDarkly account with AgentControl enabled API access token with write permissions Existing config with variations (use configs-create skill) For automatic metric recording and the consolidated judge-result API: Python AI SDK v0.20.0+ or Node.js AI SDK v0.20.0+ API Key Detection Check enviro...
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1.8K |
| 9079 | stakeholder-alignment | owl-listener/designer-skills |
Stakeholder Alignment Help the user achieve stakeholder alignment using frameworks and insights from 88 product leaders. How to Help When the user asks for help with stakeholder alignment: Understand the situation - Ask who the stakeholders are, what decision needs to be made, and where resistance is coming from Identify motivations - Help them understand what each stakeholder cares about and their definition of success Structure the approach - Guide them on pre-alignment, communication sequence...
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1.8K |
| 9080 | research-grants | k-dense-ai/scientific-agent-skills |
Research Grant Writing Overview Research grant writing is the process of developing competitive funding proposals for federal agencies and foundations. Master agency-specific requirements, review criteria, narrative structure, budget preparation, and compliance for NSF (National Science Foundation), NIH (National Institutes of Health), DOE (Department of Energy), DARPA (Defense Advanced Research Projects Agency), and Taiwan's NSTC (National Science and Technology Council) submissions. Critical P...
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1.8K |
| 9081 | xlsx | k-dense-ai/scientific-agent-skills |
Requirements for Outputs All Excel files Professional Font Use a consistent, professional font (e.g., Arial, Times New Roman) for all deliverables unless otherwise instructed by the user Zero Formula Errors Every Excel model MUST be delivered with ZERO formula errors (REF!, DIV/0!, VALUE!, N/A, NAME?) Preserve Existing Templates (when updating templates) Study and EXACTLY match existing format, style, and conventions when modifying files Never impose standardized formatting on files with establi...
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1.8K |
| 9082 | custom-metrics | launchdarkly/ai-tooling |
Custom Metrics for Configs Full lifecycle management of custom business metrics: create metric definitions via API, track events via SDK, retrieve metric data, and manage metrics programmatically. Prerequisites LaunchDarkly SDK initialized (see sdk ) LaunchDarkly API token with writer role for metric management Understanding of built-in agent metrics (see built-in-metrics ) API Key Detection Before prompting the user for an API key, try to detect it automatically: Check Claude MCP config - Read ...
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1.8K |
| 9083 | deep-learning-pytorch | mindrally/skills |
Deep Learning and PyTorch Development You are an expert in deep learning, transformers, diffusion models, and LLM development, with a focus on Python libraries such as PyTorch, Diffusers, Transformers, and Gradio. Key Principles Write concise, technical responses with accurate Python examples Prioritize clarity, efficiency, and best practices in deep learning workflows Use object-oriented programming for model architectures and functional programming for data processing pipelines Implement pro...
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1.8K |
| 9084 | north-star-vision | owl-listener/designer-skills |
North Star Vision You are an expert in articulating inspiring product visions that unite teams and guide direction. What You Do You help teams define a north-star vision — a compelling future state that inspires alignment and guides trade-offs. Vision Components Vision Statement — Who, what experience, why it matters (one sentence) Design Pillars — 3-5 strategic focus areas defining differentiators Vision Scenarios — Concrete narrative stories of the future experience Success Criteria — Qualitat...
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1.8K |
| 9085 | design-review-process | owl-listener/designer-skills |
Design Review Process You are an expert in establishing design review processes that maintain quality without slowing teams down. What You Do You create review processes with clear gates, criteria, and workflows that ensure design quality. Review Gates Gate 1: Concept Review Problem clearly defined User needs supported by research Multiple concepts explored Strategic alignment confirmed Stakeholder input gathered Gate 2: Design Review Visual design meets brand standards Interaction patterns are ...
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1.8K |
| 9086 | dd-monitors | datadog-labs/agent-skills |
Datadog Monitors Create, manage, and maintain monitors for alerting. Prerequisites This requires Go or the pup binary in your path. pup - go install github.com/datadog-labs/pup@latest Ensure ~/go/bin is in $PATH . Quick Start pup auth login Common Operations List Monitors pup monitors list pup monitors list --tags "team:platform" pup monitors list --status "Alert" Get Monitor pup monitors get < id > --json Create Monitor pup monitors create \ --name "High CPU on web servers" \ --type "metric ale...
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1.8K |
| 9087 | apollo-federation | apollographql/skills |
Apollo Federation Schema Authoring Apollo Federation enables composing multiple GraphQL APIs (subgraphs) into a unified supergraph. Federation 2 Schema Setup Every Federation 2 subgraph must opt-in via @link : extend schema @link ( url : "https://specs.apollo.dev/federation/v2.12" , import : [ "@key" , "@shareable" , "@external" , "@requires" , "@provides" ] ) Import only the directives your subgraph uses. Core Directives Quick Reference Directive Purpose Example @key Define entity with unique k...
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1.8K |
| 9088 | high-end-visual-design | nexu-io/open-design |
Agent Skill: Principal UI/UX Architect & Motion Choreographer (Awwwards-Tier) 1. Meta Information & Core Directive Persona: Vanguard_UI_Architect Objective: You engineer $150k+ agency-level digital experiences, not just websites. Your output must exude haptic depth, cinematic spatial rhythm, obsessive micro-interactions, and flawless fluid motion. The Variance Mandate: NEVER generate the exact same layout or aesthetic twice in a row. You must dynamically combine different premium layout archetyp...
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1.8K |
| 9089 | test-scenario | owl-listener/designer-skills |
Test Scenario You are an expert in writing usability test scenarios that reveal genuine user behavior. What You Do You write test scenarios with realistic tasks, clear success criteria, and structured observation guides. Scenario Structure Context Setting Brief, realistic backstory that gives the participant a reason to act without leading them. Task Specific goal to accomplish. Action-oriented, not question-based. Avoids UI terminology that hints at the answer. Success Criteria Task completion ...
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1.8K |
| 9090 | deep-research | lingzhi227/agent-research-skills |
Deep Research Drift-prone skill. Firecrawl/Exa MCP tool names, quotas, and result shapes change. Verify the configured MCP tools and current API docs before promising coverage or quoting live source counts. Produce thorough, cited research reports from multiple web sources using firecrawl and exa MCP tools. When to Activate User asks to research any topic in depth Competitive analysis, technology evaluation, or market sizing Due diligence on companies, investors, or technologies Any question req...
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1.8K |
| 9091 | ios-design-guidelines | ehmo/platform-design-skills |
iOS Design Guidelines for iPhone Comprehensive rules derived from Apple's Human Interface Guidelines. Apply these when building, reviewing, or refactoring any iPhone app interface. 1. Layout & Safe Areas Impact: CRITICAL Rule 1.1: Minimum 44pt Touch Targets All interactive elements must have a minimum tap target of 44x44 points. This includes buttons, links, toggles, and custom controls. Correct: Button ( "Save" ) { save ( ) } . frame ( minWidth : 44 , minHeight : 44 ) Incorrect: // 20pt icon wi...
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1.8K |
| 9092 | figma-generate-diagram | figma/mcp-server-guide |
generate-diagram You MUST load this skill before every generate_diagram tool call. Skipping it causes preventable rendering failures and low-quality output. generate_diagram takes Mermaid.js syntax and produces an editable FigJam diagram. This skill routes you to the right per-type guidance and sets universal constraints. Step 1: Is generate_diagram the right tool? Supported diagram types flowchart , sequenceDiagram , stateDiagram / stateDiagram-v2 , gantt , erDiagram . Unsupported — don't call ...
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1.8K |
| 9093 | team-workflow | owl-listener/designer-skills |
Team Workflow You are an expert in designing efficient design team workflows and collaboration practices. What You Do You design workflows that help design teams collaborate effectively, manage work, and deliver quality. Workflow Components Task Management How work is tracked (boards, tickets, sprints) Status definitions (backlog, in progress, in review, done) Priority levels and how they are assigned Capacity planning and workload balancing Collaboration Rituals Standup (daily/async): What are ...
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1.8K |
| 9094 | opportunity-framework | owl-listener/designer-skills |
Opportunity Framework You are an expert in identifying, evaluating, and prioritizing design opportunities. What You Do You help teams move from possible improvements to a prioritized roadmap. Opportunity Sources Research findings, analytics, competitive gaps, technology, stakeholder requests, support channels. Evaluation Frameworks Impact-Effort Matrix 2x2 grid: quick wins, strategic bets, fill-ins, deprioritize. RICE Scoring Reach, Impact (1-3), Confidence (%), Effort (person-weeks). Kano Model...
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1.8K |
| 9095 | design-sprint-plan | owl-listener/designer-skills |
Design Sprint Plan You are an expert in planning and facilitating design sprints. What You Do You plan structured design sprints that take teams from challenge to tested prototype in a focused timeframe. Sprint Structure (5-Day Classic) Day 1: Understand Define the challenge and sprint questions Expert interviews and lightning talks Map the user journey Choose a target area to focus on Day 2: Diverge Lightning demos of inspiration Individual sketching (Crazy 8s, solution sketches) Silent critiqu...
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1.8K |
| 9096 | design-system-adoption | owl-listener/designer-skills |
Design System Adoption You are an expert in driving design system adoption across design and engineering teams. What You Do You create strategies and materials that help teams adopt and consistently use a design system. Adoption Strategy Awareness Launch announcements and demos Documentation site with search and examples Regular updates and changelog communication Showcase projects that use the system well Education Getting started guides for designers and developers Component usage guidelines w...
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1.8K |
| 9097 | pytorch-lightning | k-dense-ai/scientific-agent-skills |
PyTorch Lightning Overview PyTorch Lightning is a deep learning framework that organizes PyTorch code to eliminate boilerplate while maintaining full flexibility. Automate training workflows, multi-device orchestration, and implement best practices for neural network training and scaling across multiple GPUs/TPUs. Current upstream: lightning 2.6.4 (PyPI, May 2026). Docs: lightning.ai/docs/pytorch/stable . Use import lightning as L (the pytorch-lightning package name still installs the same libra...
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1.8K |
| 9098 | pyzotero | k-dense-ai/scientific-agent-skills |
Pyzotero Pyzotero is a Python wrapper for the Zotero API v3 . Use it to programmatically manage Zotero libraries: read items and collections, create and update references, upload attachments, manage tags, and export citations. Authentication Setup Required credentials — get from https://www.zotero.org/settings/keys : User ID : shown as "Your userID for use in API calls" API Key : create at https://www.zotero.org/settings/keys/new Library ID : for group libraries, the integer after /groups/ in th...
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1.8K |
| 9099 | aeon | k-dense-ai/scientific-agent-skills |
Aeon Time Series Machine Learning Overview Aeon is a scikit-learn compatible Python toolkit for time series machine learning. It provides state-of-the-art algorithms for classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. When to Use This Skill Apply this skill when: Classifying or predicting from time series data Detecting anomalies or change points in temporal sequences Clustering similar time series patterns Forecasting future values Fi...
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1.8K |
| 9100 | networkx | k-dense-ai/scientific-agent-skills |
NetworkX Overview NetworkX is a Python package for creating, manipulating, and analyzing complex networks and graphs. Use this skill when working with network or graph data structures, including social networks, biological networks, transportation systems, citation networks, knowledge graphs, or any system involving relationships between entities. When to Use This Skill Invoke this skill when tasks involve: Creating graphs : Building network structures from data, adding nodes and edges with attr...
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