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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 8401 | sparse-autoencoder-training | davila7/claude-code-templates |
SAELens: Sparse Autoencoders for Mechanistic Interpretability SAELens is the primary library for training and analyzing Sparse Autoencoders (SAEs) - a technique for decomposing polysemantic neural network activations into sparse, interpretable features. Based on Anthropic's groundbreaking research on monosemanticity. GitHub: jbloomAus/SAELens (1,100+ stars) The Problem: Polysemanticity & Superposition Individual neurons in neural networks are polysemantic - they activate in multiple, semanti...
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| 8402 | implementing-llms-litgpt | davila7/claude-code-templates |
LitGPT - Clean LLM Implementations Quick start LitGPT provides 20+ pretrained LLM implementations with clean, readable code and production-ready training workflows. Installation: pip install 'litgpt[extra]' Load and use any model: from litgpt import LLM Load pretrained model llm = LLM.load("microsoft/phi-2") Generate text result = llm.generate( "What is the capital of France?", max_new_tokens=50, temperature=0.7 ) print(result) List available models: litgpt download list...
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| 8403 | skill-developer | davila7/claude-code-templates |
Skill Developer Guide Purpose Comprehensive guide for creating and managing skills in Claude Code with auto-activation system, following Anthropic's official best practices including the 500-line rule and progressive disclosure pattern. When to Use This Skill Automatically activates when you mention: Creating or adding skills Modifying skill triggers or rules Understanding how skill activation works Debugging skill activation issues Working with skill-rules.json Hook system mechanics Claude ...
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| 8404 | phoenix-observability | davila7/claude-code-templates |
Phoenix - AI Observability Platform Open-source AI observability and evaluation platform for LLM applications with tracing, evaluation, datasets, experiments, and real-time monitoring. When to use Phoenix Use Phoenix when: Debugging LLM application issues with detailed traces Running systematic evaluations on datasets Monitoring production LLM systems in real-time Building experiment pipelines for prompt/model comparison Self-hosted observability without vendor lock-in Key features: Tracin...
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| 8405 | environment-setup-guide | davila7/claude-code-templates |
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...
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| 8406 | axolotl | davila7/claude-code-templates |
Axolotl Skill Comprehensive assistance with axolotl development, generated from official documentation. When to Use This Skill This skill should be triggered when: Working with axolotl Asking about axolotl features or APIs Implementing axolotl solutions Debugging axolotl code Learning axolotl best practices Quick Reference Common Patterns Pattern 1: To validate that acceptable data transfer speeds exist for your training job, running NCCL Tests can help pinpoint bottlenecks, for example: ....
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| 8407 | llava | davila7/claude-code-templates |
LLaVA - Large Language and Vision Assistant Open-source vision-language model for conversational image understanding. When to use LLaVA Use when: Building vision-language chatbots Visual question answering (VQA) Image description and captioning Multi-turn image conversations Visual instruction following Document understanding with images Metrics: 23,000+ GitHub stars GPT-4V level capabilities (targeted) Apache 2.0 License Multiple model sizes (7B-34B params) Use alternatives instead: GPT...
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| 8408 | schema-markup | davila7/claude-code-templates |
Schema Markup You are an expert in structured data and schema markup. Your goal is to implement schema.org markup that helps search engines understand content and enables rich results in search. Initial Assessment 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 asking questions. Use that context and only ask for information not already covered or specific to this task. Before imple...
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| 8409 | diffity-resolve-tree | kamranahmedse/diffity |
Diffity Resolve Tree Skill You are reading open comments left on repository files via the diffity tree browser and resolving them by making the requested code changes. Arguments thread-id (optional): Resolve a specific thread by ID instead of all open threads. Example: /diffity-resolve-tree abc123 CLI Reference diffity agent list [--status open|resolved|dismissed] [--json] diffity agent comment --file <path> --line <n> [--end-line <n>] --body "<text>" diffity agent resolve <id> [--summary "<text...
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| 8410 | home-assistant-integrations-addons | bradsjm/hassio-addons |
Home Assistant Integrations & Add-ons Workflow Discover current integrations/add-ons and update availability. Summarize current state before changes. Avoid destructive operations unless explicitly requested. Prefer reloads over restarts when supported; validate config before restart. Tooling map (ha-mcp) Integrations: ha_get_integration , ha_set_integration_enabled , ha_delete_config_entry Add-ons: ha_get_addon Updates: ha_get_updates System health: ha_get_system_health Reload/restart: ha_reload...
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| 8411 | code-simplifier | pproenca/dot-skills |
Code Simplifier You are an expert code simplification specialist focused on enhancing code clarity, consistency, and maintainability while preserving exact functionality. Your expertise lies in applying project-specific best practices to simplify and improve code without altering its behavior. You prioritize readable, explicit code over overly compact solutions. Refinement Principles 1. Preserve Functionality Never change what the code does - only how it does it. All original features, outputs, ...
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| 8412 | mindos-zh | geminilight/mindos |
MindOS 技能 CLI 命令 使用 mindos file <子命令> 完成所有知识库操作。加 --json 获取结构化输出。 操作 命令 列出文件 mindos file list 读取文件 mindos file read <路径> 写入/覆盖 mindos file write <路径> --content "..." 创建新文件 mindos file create <路径> --content "..." 追加内容 mindos file append <路径> --content "..." 编辑段落 mindos file edit-section <路径> -H " 标题" --content "..." 标题后插入 mindos file insert-heading <路径> -H " 标题" --content "..." 追加 CSV 行 mindos file append-csv <路径> --row "列1,列2,列3" 删除文件 mindos file delete <路径> 重命名/移动 mindos file rename <旧> <新> 搜索 ...
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| 8413 | voice-analysis | jwynia/agent-skills |
Voice & Tone Analysis Purpose Extract and document a writer's distinctive voice patterns for consistent reproduction. Creates a "voice guide" that enables authentic writing that sounds like the source, not a generic approximation. Core Principle Capture spirit, not just mechanics. The goal is writing that makes the source say "yes, that's me" not "I guess that's accurate." Phase 1: Sample Collection Gather 5-10 Examples from Each Category Peak Voice - Writing they identify as "most them" O...
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| 8414 | mongodb-search-and-ai | mongodb/agent-skills |
MongoDB Search and AI Recommendations Skill You are helping MongoDB users implement, optimize, and troubleshoot Atlas Search (lexical), Vector Search (semantic), and Hybrid Search (combined) solutions. Your goal is to understand their use case, recommend the appropriate search approach, and help them build effective indexes and queries. Core Principles Understand before building - Validate the use case to ensure you recommend the right solution Always inspect first - Check existing indexes and s...
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| 8415 | security | alinaqi/claude-bootstrap |
Security Architecture Diagram Generator Quick Start: Define trust boundaries → Place identity/encryption/firewall icons → Connect with access flows → Group into security zones → Wrap in ```plantuml fence. ⚠️ IMPORTANT: Always use ```plantuml or ```puml code fence. NEVER use ```text — it will NOT render as a diagram. Critical Rules Every diagram starts with @startuml and ends with @enduml Use left to right direction for access flows (User → AuthN → AuthZ → Resource) Use mxgraph.aws4.* stencil syn...
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| 8416 | oxlint | delexw/claude-code-misc |
Oxlint — High-Performance JS/TS Linter Oxlint is 50-100x faster than ESLint. It ships with 690+ rules covering ESLint core, TypeScript, React, Jest, Unicorn, jsx-a11y, and more. It prioritizes high-signal correctness checks by default — things that are incorrect, unsafe, or useless — so teams can adopt it without drowning in false positives. Detection Before linting, confirm the project uses oxlint by checking for any of: oxlint in package.json devDependencies/dependencies An .oxlintrc.json file...
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| 8417 | skills-vote | memtensor/skills-vote |
Skill Discovery And Feedback Read only this file first. Do not read scripts/ or any other files in this skill unless this file or a script output explicitly tells you to do so. Use this skill in two moments: Before you fetch or invoke external skills for the current task. After the task is effectively done, to report what skills were actually useful. Skip this skill if you are not considering any external skills at all. All paths mentioned in this file are relative to this skill root. cd to this...
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| 8418 | vue-typescript | mindrally/skills |
Vue.js TypeScript You are an expert in TypeScript, Node.js, Vite, Vue.js, Vue Router, Pinia, VueUse, Headless UI, Element Plus, and Tailwind with deep knowledge of performance optimization. Code Style & Structure Write concise, maintainable, and technically accurate TypeScript code with relevant examples Employ functional and declarative patterns; avoid classes Follow DRY principles through iteration and modularization Use descriptive variable names with auxiliary verbs (isLoading, hasError) O...
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| 8419 | competitor-profiling | coreyhaines31/marketingskills |
Competitor Profiling You are an expert competitive intelligence analyst. Your goal is to take a list of competitor URLs and produce comprehensive, structured competitor profile documents by combining live site scraping with SEO and market data. Initial Assessment 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 asking questions. Use that context and only ask for information not alre...
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| 8420 | documentation-writing | rysweet/amplihack |
Documentation Writing Skill Purpose Creates high-quality, discoverable documentation following the Eight Rules and Diataxis framework. Ensures all docs are properly located, linked, and contain real runnable examples. When I Activate I load automatically when you mention: "write documentation" or "create docs" "document this feature/module/API" "create a README" or "write a tutorial" "explain how this works" Any request to create markdown documentation Core Rules (MANDATORY) The Eight Rules Loca...
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| 8421 | deno-expert | denoland/skills |
Deno Expert Knowledge This skill provides expert-level Deno knowledge for code review, debugging, and best practice enforcement. When to Use This Skill Reviewing Deno/Fresh code for best practices Debugging Deno runtime issues Answering advanced Deno questions Evaluating package choices Setting up Deno projects correctly Scope Boundaries This skill applies only to Deno-specific questions. Follow these rules: If the user asks about Node.js, Bun, Python, Go, Rust, or any other runtime/language , a...
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| 8422 | data-storytelling | sickn33/antigravity-awesome-skills |
Data Storytelling Transform raw data into compelling narratives that drive decisions and inspire action. Do not use this skill when The task is unrelated to data storytelling You need a different domain or tool outside this scope Instructions Clarify goals, constraints, and required inputs. Apply relevant best practices and validate outcomes. Provide actionable steps and verification. If detailed examples are required, open resources/implementation-playbook.md . Use this skill when Presenting an...
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| 8423 | memos-cloud-server | memtensor/memos-cloud-skill |
MemOS Cloud Server Skill ZH-CN: 本技能允许 Agent 直接调用 MemOS 云平台 API,实现记忆的检索、添加、删除以及反馈功能。 EN-US: This skill allows the Agent to interact with MemOS Cloud APIs for memory search, addition, deletion, and feedback. ⚠️ 初始化与安全铁律 / Setup & Safety Rules (MUST READ) ZH-CN: 在执行任何 API 操作前,你(Agent)必须确保环境变量已配置: EN-US: Before executing any API operations, you (the Agent) must ensure the following environment variables are configured: 获取凭证 / Obtain Credentials : 必须配置 MEMOS_API_KEY (MemOS云服务的API Key)和 MEMOS_USER_ID ...
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| 8424 | nansen-fund-tracker | nansen-ai/nansen-cli |
Fund Watch Answers: "What are crypto funds and VCs holding right now?" nansen research smart-money holdings --chain ethereum --labels "Fund" --limit 20 → token_symbol, value_usd, holders_count, balance_24h_percent_change, share_of_holdings_percent nansen research smart-money holdings --chain solana --labels "Fund" --limit 20 nansen research smart-money netflow --chain ethereum --labels "Fund" --limit 10 → token_symbol, net_flow_1h/24h/7d/30d_usd, market_cap_usd, trader_count nansen research sm...
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| 8425 | symfony:ports-and-adapters | makfly/superpowers-symfony |
$ npx skills add https://github.com/makfly/superpowers-symfony --skill symfony:ports-and-adapters<div
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| 8426 | temporal-python-pro | sickn33/antigravity-awesome-skills |
Use this skill when Working on temporal python pro tasks or workflows Needing guidance, best practices, or checklists for temporal python pro Do not use this skill when The task is unrelated to temporal python pro You need a different domain or tool outside this scope Instructions Clarify goals, constraints, and required inputs. Apply relevant best practices and validate outcomes. Provide actionable steps and verification. If detailed examples are required, open resources/implementation-playbook...
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| 8427 | construction-expert | personamanagmentlayer/pcl |
Expert guidance for construction management, project planning, Building Information Modeling (BIM), safety compliance, and modern construction technology solutions. Core Concepts Construction Management - Project planning and scheduling - Cost estimation and control - Resource management - Quality assurance - Contract management - Risk management - Change order management Technologies - Building Information Modeling (BIM) - Construction management software - Drone surveying and i...
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| 8428 | documentation-site-setup | aj-geddes/useful-ai-prompts |
Documentation Site Setup Overview Set up professional documentation websites using popular static site generators like Docusaurus, MkDocs, VitePress, and GitBook. When to Use Documentation website setup API documentation portals Product documentation sites Technical documentation hubs Static site generation GitHub Pages deployment Multi-version documentation Docusaurus Setup Installation Create new Docusaurus site npx create-docusaurus@latest my-docs classic cd my-docs Install dependencies...
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| 8429 | performance-regression-debugging | aj-geddes/useful-ai-prompts |
Performance Regression Debugging Overview Performance regressions occur when code changes degrade application performance. Detection and quick resolution are critical. When to Use After deployment performance degrades Metrics show negative trend User complaints about slowness A/B testing shows variance Regular performance monitoring Instructions 1. Detection & Measurement // Before: 500ms response time // After: 1000ms response time (2x slower = regression) // Capture baseline metrics const b...
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| 8430 | blue-green-deployment | aj-geddes/useful-ai-prompts |
Blue-Green Deployment Overview Deploy applications using blue-green deployment patterns to maintain two identical production environments, enabling instant traffic switching and rapid rollback capabilities. When to Use Zero-downtime releases High-risk deployments Complex application migrations Database schema changes Rapid rollback requirements A/B testing with environment separation Staged rollout strategies Implementation Examples 1. Blue-Green with Load Balancer blue-green-setup.yaml apiVe...
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| 8431 | artifact-management | aj-geddes/useful-ai-prompts |
Artifact Management Overview Implement comprehensive artifact management strategies for storing, versioning, and distributing built binaries, Docker images, and packages across environments. When to Use Docker image registry management Package publication and versioning Build artifact storage and retrieval Container image optimization Artifact retention policies Multi-registry distribution Dependency caching Implementation Examples 1. Docker Registry Configuration Dockerfile with multi-stage ...
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| 8432 | using-dbt-for-analytics-engineering | dbt-labs/dbt-agent-skills |
When you use this skill, announce: "Using dbt analytics engineering skill to [brief purpose]." Core principle: Apply software engineering discipline (DRY, modularity, testing) to data transformation work through dbt's abstraction layer. When to Use - Building new dbt models, sources, or tests - Modifying existing model logic or configurations - Refactoring a dbt project structure - Creating analytics pipelines or data transformations - Working with warehouse data that needs modeling Do ...
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| 8433 | ln-641-pattern-analyzer | levnikolaevich/claude-code-skills |
Paths: File paths ( shared/ , references/ , ../ln-* ) are relative to skills repo root. If not found at CWD, locate this SKILL.md directory and go up one level for repo root. Pattern Analyzer L3 Worker that analyzes a single architectural pattern against best practices and calculates 4 scores. Purpose & Scope Analyze ONE pattern per invocation (receives pattern name, locations, best practices from coordinator) Find all implementations in codebase (Glob/Grep) Validate implementation exists and wo...
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| 8434 | gmail-skill | idanbeck/claude-skills |
Read, search, and send Gmail emails. Access Google contacts. CRITICAL: Email Sending Confirmation Required Before sending ANY email, you MUST get explicit user confirmation. When the user asks to send an email: - First, show them the complete email details: From (which account) - To - CC/BCC (if any) - Subject - Full body text - Ask: "Do you want me to send this email?" - ONLY run the send command AFTER the user explicitly confirms (e.g., "yes", "send it", "go ahead") - NEVER send a...
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| 8435 | dart-test-fundamentals | kevmoo/dash_skills |
Dart Test Fundamentals When to use this skill Use this skill when: Writing new test files. structuring test suites with group . Configuring test execution via dart_test.yaml . Understanding test lifecycle methods. Core Concepts 1. Test Structure ( test and group ) test : The fundamental unit of testing. test ( 'description' , ( ) { // assertions } ) ; group : Used to organize tests into logical blocks. Groups can be nested. Descriptions are concatenated (e.g., "Group Description Test Description...
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| 8436 | gh-address-comments | davila7/claude-code-templates |
PR Comment Handler Guide to find the open PR for the current branch and address its comments with gh CLI. Run all gh commands with elevated network access. Prereq: ensure gh is authenticated (for example, run gh auth login once), then run gh auth status with escalated permissions (include workflow/repo scopes) so gh commands succeed. If sandboxing blocks gh auth status , rerun it with sandbox_permissions=require_escalated . 1) Inspect comments needing attention Run scripts/fetch_comments.py whic...
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| 8437 | skill-judge | davila7/claude-code-templates |
Skill Judge Evaluate Agent Skills against official specifications and patterns derived from 17+ official examples. Core Philosophy What is a Skill? A Skill is NOT a tutorial. A Skill is a knowledge externalization mechanism . Traditional AI knowledge is locked in model parameters. To teach new capabilities: Traditional: Collect data → GPU cluster → Train → Deploy new version Cost: $10,000 - $1,000,000+ Timeline: Weeks to months Skills change this: Skill: Edit SKILL.md → Save → Takes effect on ne...
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| 8438 | openrlhf-training | davila7/claude-code-templates |
OpenRLHF - High-Performance RLHF Training Quick start OpenRLHF is a Ray-based RLHF framework optimized for distributed training with vLLM inference acceleration. Installation: Launch Docker container docker run --runtime=nvidia -it --rm --shm-size="10g" --cap-add=SYS_ADMIN \ -v $PWD:/openrlhf nvcr.io/nvidia/pytorch:25.02-py3 bash Uninstall conflicts sudo pip uninstall xgboost transformer_engine flash_attn pynvml -y Install OpenRLHF with vLLM pip install openrlhf[vllm] PPO Training (H...
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| 8439 | mdr-745-specialist | davila7/claude-code-templates |
Senior MDR 2017/745 Specialist and Consultant Expert-level EU MDR 2017/745 compliance specialist with comprehensive knowledge of medical device regulation requirements, technical documentation, clinical evidence, and post-market surveillance obligations. Core MDR Competencies 1. MDR Classification and Risk Assessment Provide expert guidance on device classification under MDR Annex VIII and conformity assessment route selection. Classification Decision Framework: Preliminary Classification Assess...
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| 8440 | alphafold-database | davila7/claude-code-templates |
AlphaFold Database Overview AlphaFold DB is a public repository of AI-predicted 3D protein structures for over 200 million proteins, maintained by DeepMind and EMBL-EBI. Access structure predictions with confidence metrics, download coordinate files, retrieve bulk datasets, and integrate predictions into computational workflows. When to Use This Skill This skill should be used when working with AI-predicted protein structures in scenarios such as: Retrieving protein structure predictions by ...
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| 8441 | skill-downloader | nicepkg/ai-workflow |
Skill Downloader Download and install Claude Code skills from multiple sources. Supported Sources Source Type Examples GitHub Repository https://github.com/user/repo, github.com/user/repo Compressed Archive .zip, .tar.gz, .tgz, .skill (renamed zip) Direct URL URL pointing to archive or skill folder Usage Download from GitHub python scripts/download_from_github.py <repo-url> <skill-path> --output <target-dir> Examples: Official Anthropic skills python scripts/download_from_github.py https:/...
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| 8442 | resource-scout | nicepkg/ai-workflow |
Resource Scout Search and discover existing Claude Code skills and MCP servers before building custom solutions. Quick Search Strategy For Skills: WebSearch: site:skillsmp.com [topic] or claude skill [topic] Check GitHub: awesome-claude-skills [topic] Browse: skillhub.club, claudeskills.info For MCP: WebSearch: MCP server [tool/service name] Check: glama.ai/mcp/servers, mcpmarket.com Official: github.com/modelcontextprotocol/servers Skill Search Workflow Step 1: Define Need Before searchi...
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| 8443 | create-pr | davila7/claude-code-templates |
Create Pull Request Creates GitHub PRs with titles that pass n8n's check-pr-title CI validation. PR Title Format <type>(<scope>): <summary> Types (required) Type Description Changelog feat New feature Yes fix Bug fix Yes perf Performance improvement Yes test Adding/correcting tests No docs Documentation only No refactor Code change (no bug fix or feature) No build Build system or dependencies No ci CI configuration No chore Routine tasks, maintenance No Scopes (optional but recommended) API -...
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| 8444 | conductor-implement | sickn33/antigravity-awesome-skills |
Implement Track Execute tasks from a track's implementation plan, following the workflow rules defined in conductor/workflow.md . Use this skill when Working on implement track tasks or workflows Needing guidance, best practices, or checklists for implement track Do not use this skill when The task is unrelated to implement track You need a different domain or tool outside this scope Instructions Clarify goals, constraints, and required inputs. Apply relevant best practices and validate outcomes...
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| 8445 | alphaear-predictor | rkiding/awesome-finance-skills |
AlphaEar Predictor Skill Overview This skill utilizes the Kronos model (via KronosPredictorUtility ) to perform time-series forecasting and adjust predictions based on news sentiment. Capabilities 1. Forecast Market Trends 1. Forecast Market Trends Workflow: Generate Base Forecast : Use scripts/kronos_predictor.py (via KronosPredictorUtility ) to generate the technical/quantitative forecast. Adjust Forecast (Agentic) : Use the Forecast Adjustment Prompt in references/PROMPTS.md to subjectively a...
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| 8446 | book-marketing | jwynia/agent-skills |
Book Marketing: Diagnostic and Generative Skill You diagnose book marketing copy problems and generate effective marketing copy across platforms. Your role is to help authors translate their books into compelling marketing materials. Core Principle Marketing copy promises an experience. It doesn't summarize a story—it creates desire for one. Writers who excel at novels often struggle with descriptions because they're different skills. A 200-word blurb must make readers feel they'll miss out ...
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| 8447 | encore-frontend | encoredev/skills |
Frontend Integration with Encore Instructions Encore provides tools to connect your frontend applications to your backend APIs. Generate a TypeScript Client Generate client for local development encore gen client --output=./frontend/src/client.ts --env=local Generate client for a deployed environment encore gen client --output=./frontend/src/client.ts --env=staging This generates a fully typed client based on your API definitions. Using the Generated Client // frontend/src/client.ts is a...
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| 8448 | algorithmic-trading | omer-metin/skills-for-antigravity |
No SKILL.md available for this skill. View on GitHub
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| 8449 | celery-expert | martinholovsky/claude-skills-generator |
Celery Distributed Task Queue Expert 1. Overview You are an elite Celery engineer with deep expertise in: Core Celery: Task definition, async execution, result backends, task states, routing Workflow Patterns: Chains, groups, chords, canvas primitives, complex workflows Brokers: Redis vs RabbitMQ trade-offs, connection pools, broker failover Result Backends: Redis, database, memcached, result expiration, state tracking Task Reliability: Retries, exponential backoff, acks late, task rejection, ...
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| 8450 | data-analyst | mindrally/skills |
Data Analyst You are an expert data analyst with expertise in SQL, Python (pandas), and statistical analysis. When to Apply Use this skill when: Writing SQL queries for data extraction Analyzing datasets with pandas Performing statistical analysis Creating data transformations Identifying data patterns and insights Data cleaning and preparation Core Competencies SQL Complex queries with JOINs, subqueries, CTEs Window functions and aggregations Query optimization Database design understanding pan...
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