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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 23151 | react-component-generator | jeremylongshore/claude-code-plugins-plus-skills |
React Component Generator Purpose This skill provides automated assistance for react component generator tasks within the Frontend Development domain. When to Use This skill activates automatically when you: Mention "react component generator" in your request Ask about react component generator patterns or best practices Need help with frontend skills covering react, vue, css, accessibility, performance optimization, and modern web development patterns. Capabilities Provides step-by-step guidanc...
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| 23152 | code-review | rtgs2017/nagaagent |
Two-axis review of the diff between HEAD and a fixed point the user supplies: Standards — does the code conform to this repo's documented coding standards? Spec — does the code faithfully implement the originating issue / PRD / spec? Both axes run as parallel sub-agents so they don't pollute each other's context, then this skill aggregates their findings. The issue tracker should have been provided to you — run /setup-matt-pocock-skills if docs/agents/issue-tracker.md is missing. Process 1. Pin ...
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| 23153 | synapse-manager | s-hiraoku/synapse-a2a |
Synapse Manager Orchestrate multi-agent work with structured delegation, monitoring, and quality gates. When to Use Coordinating 2+ agents on related subtasks Monitoring progress of delegated work Verifying agent outputs (tests, file changes, integration) Sending targeted feedback with error details and fix guidance Orchestrating cross-review between agents Implementing a multi-phase plan (3+ phases or 10+ file changes) Planning agent assignment for multi-file changes Workflow (7 Steps) Step 1: ...
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| 23154 | performing-systematic-debugging-for-stubborn-problems | sammcj/agentic-coding |
Systematic Debugging with Fagan Inspection This skill applies a modified Fagan Inspection methodology for systematic problem resolution when facing complex problems or stubborn bugs that have resisted multiple fix attempts. Process Overview Follow these four phases sequentially. Do not skip phases or attempt fixes before completing the inspection. Phase 1: Initial Overview Establish a clear understanding of the problem before analysis: Explain the problem in plain language without technical jarg...
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| 23155 | github-ops | oimiragieo/agent-studio |
GitHub Operations Manage GitHub repositories with a focus on community health, CI reliability, and contributor experience. When to Activate Triaging issues (classifying, labeling, responding, deduplicating) Managing PRs (review status, CI checks, stale PRs, merge readiness) Debugging CI/CD failures Preparing releases and changelogs Monitoring Dependabot and security alerts Managing contributor experience on open-source projects User says "check GitHub", "triage issues", "review PRs", "merge", "r...
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| 23156 | clawflows | alphaonedev/openclaw-graph |
clawflows Purpose This skill automates workflows in OpenClaw by defining multi-step task chains, incorporating conditional logic, triggers, and scheduling to streamline complex operations. When to Use Use this skill for repetitive task sequences, like processing data pipelines, conditional decision-making (e.g., if a file exists, then execute), event-driven triggers (e.g., on API call), or scheduled jobs (e.g., daily reports). Apply it in scenarios requiring orchestration, such as integrating mu...
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| 23157 | hk-stock-analysis | nicepkg/ai-workflow |
Perform comprehensive analysis of Hong Kong listed stocks with consideration of unique market characteristics including T+0 trading, no price limits, short selling mechanism, and cross-border capital flows via Stock Connect. Market Characteristics Trading Rules - T+0 Trading: Can buy and sell same day (no T+1 restriction) - No Price Limits: No daily limit up/down (unlike A-shares) - Short Selling: Allowed for designated securities - Settlement: T+2 - Trading Hours: Morning: 9:30-12:00 ...
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| 23158 | insurance analyst | eddiebe147/claude-settings |
Insurance Analyst Comprehensive insurance analysis system designed for insurance professionals, risk managers, business owners, and individuals navigating complex insurance decisions. This skill provides policy comparison, coverage gap analysis, claims evaluation, risk assessment, and insurance purchasing guidance across personal and commercial insurance lines. The Insurance Analyst excels at breaking down policy language into understandable terms, identifying coverage gaps and overlaps, evaluat...
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| 23159 | testing-patterns | blogic-cz/blogic-marketplace |
Testing Patterns and Utilities Testing Philosophy Test-Driven Development (TDD): Write failing test FIRST Implement minimal code to pass Refactor after green Never write production code without a failing test Behavior-Driven Testing: Test behavior, not implementation Focus on public APIs and business requirements Avoid testing implementation details Use descriptive test names that describe behavior Factory Pattern: Create getMockX(overrides?: Partial<X>) functions Provide sensible defaults...
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| 23160 | webnovel-resume | lingfengqaq/webnovel-writer |
Copy and track progress: ``` 任务恢复进度: - [ ] Step 1: 加载恢复协议 (cat "${CLAUDE_PLUGIN_ROOT}/skills/webnovel-resume/references/workflow-resume.md") - [ ] Step 2: 加载数据规范 (cat "${CLAUDE_PLUGIN_ROOT}/skills/webnovel-resume/references/system-data-flow.md") - [ ] Step 3: 确认上下文充足 - [ ] Step 4: 检测中断状态 - [ ] Step 5: 展示恢复选项 (AskUserQuestion) - [ ] Step 6: 执行恢复 - [ ] Step 7: 继续任务 (可选) ``` Step 1: 加载恢复协议(必须执行) ``` cat "${CLAUDE_PLUGIN_ROOT}/skills/webnovel-resume/references/workflow-resume.md" ``` 核心原则(读取后...
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| 23161 | ramping-rep-tracker | onewave-ai/claude-skills |
Ramping Rep Tracker 30/60/90/120 day ramp milestones. Activity expectations by week, certification progress, early warning indicators. Instructions You are an expert sales onboarding specialist. Track new rep progress, identify risks early, ensure successful ramp to quota. Output Format Ramping Rep Tracker Output Generated: {timestamp} --- Results [Your formatted output here] --- Recommendations [Actionable next steps] Best Practices Be Specific: Focus on concrete, actionable out...
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| 23162 | docs-decommission | laurigates/claude-plugins |
Service Decommission Documentation Generator Generate a comprehensive decommission checklist for ${1:-[SERVICE_NAME]} to be created at deployment time when all context is fresh. Your Task Create a detailed decommission documentation file that includes: 1. Service Overview Document the service name, purpose, and deployment date List all environments (dev, staging, production) Note key stakeholders and team contacts Record repository and deployment locations 2. Infrastructure Resources Checklist C...
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| 23163 | text-to-speech | connorads/dotfiles |
ElevenLabs Text-to-Speech Generate natural speech from text - supports 70+ languages, multiple models for quality vs latency tradeoffs. Setup: See Installation Guide . For JavaScript, use @elevenlabs/* packages only. Quick Start Python from elevenlabs import ElevenLabs client = ElevenLabs ( ) audio = client . text_to_speech . convert ( text = "Hello, welcome to ElevenLabs!" , voice_id = "JBFqnCBsd6RMkjVDRZzb" , George model_id = "eleven_multilingual_v2" ) with open ( "output.mp3" , "wb" ) as f ...
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| 23164 | blueprint-execute | laurigates/claude-plugins |
Intelligent meta command that analyzes repository state and executes the appropriate blueprint action. Concept : Run this command anytime to automatically determine what should happen next in your blueprint workflow. Safe to run repeatedly - it's idempotent and will always figure out the right action. Usage : /blueprint:execute How it works : This command acts as an orchestrator, detecting your project's current state and delegating to specific blueprint commands as needed. It uses parallel agen...
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| 23165 | workflow-optimizer | vladm3105/aidoc-flow-framework |
workflow-optimizer Purpose Guide users through the SDD workflow by determining current position, recommending next steps, identifying parallel work opportunities, and tracking progress. Problem Solved: Users must manually determine next steps in the 16-layer SDD workflow, leading to workflow friction, missed dependencies, and inefficient sequencing. Solution: Analyze completed artifacts, determine workflow position, and provide prioritized recommendations for next steps with clear rationale. ...
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| 23166 | linear-projects | finesssee/linear-cli |
Projects List projects linear-cli p list All projects linear-cli p list --archived Include archived linear-cli p list --view "Active" Apply saved view Get project linear-cli p get PROJECT_ID linear-cli p open PROJECT_ID Open in browser Create project (full API fields) linear-cli p create "Q1 Roadmap" -t ENG linear-cli p create "Feature" -t ENG --icon "🚀" --priority 1 \ --start-date 2025 -01-01 --target-date 2025 -03-31 \ --lead USER_ID --status planned --content "Project description" Upd...
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| 23167 | ceo | lotosbin/claude-skills |
No SKILL.md available for this skill. View on GitHub
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| 23168 | fumadocs-registry-integration | theorcdev/8bitcn-ui |
Registry Integration Register 8-bit components in registry.json for discovery via shadcn add @8bitcn/[component-name]. Component Entry Pattern { "name": "button", "type": "registry:component", "title": "8-bit Button", "description": "A simple 8-bit button component", "registryDependencies": ["button"], "files": [ { "path": "components/ui/8bit/button.tsx", "type": "registry:component", "target": "components/ui/8bit/button.tsx" }, { "path": "compon...
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| 23169 | emotional-disconnect | dylantarre/animation-principles |
Emotional Disconnect Align animation emotion with context using Disney's principles. Problem Indicators Animation feels "off" but hard to articulate Playful motion on serious content Sterile motion on warm content Users describe UI as cold/robotic or chaotic/annoying Mismatch between animation and message Diagnosis by Principle Appeal Issue: Animation lacks emotional resonance Fix: Define the emotional goal. Warm = soft easing, overshoot. Professional = crisp, linear. Match motion to message....
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| 23170 | billing manager | eddiebe147/claude-settings |
Billing Manager Take control of billing operations with workflows for invoice generation, payment tracking, and subscription management. Maintain healthy cash flow with timely invoicing and proactive collection. Core Workflows Workflow 1: Invoice Generation Gather Billables - Collect billable items, hours, or usage Apply Pricing - Calculate amounts based on rate cards Add Taxes - Apply appropriate tax rates Generate Invoice - Create professional invoice Track Status - Monitor open, paid, overdue...
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| 23171 | alicloud-ai-audio-asr-realtime | cinience/alicloud-skills |
Category: provider Model Studio Qwen ASR Realtime Validation mkdir -p output/alicloud-ai-audio-asr-realtime python -m py_compile skills/ai/audio/alicloud-ai-audio-asr-realtime/scripts/prepare_realtime_asr_request.py && echo "py_compile_ok" > output/alicloud-ai-audio-asr-realtime/validate.txt Pass criteria: command exits 0 and output/alicloud-ai-audio-asr-realtime/validate.txt is generated. Output And Evidence Save session payloads and response samples under output/alicloud-ai-audio-asr-realtime/...
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| 23172 | testing-expert | cin12211/orca-q |
Testing Expert Skill Expert in testing strategies for React, Next.js, and NestJS applications. When to Use This Skill Writing unit tests Creating integration tests Setting up E2E tests Testing React components Testing API endpoints Testing database operations Setting up test infrastructure Reviewing test coverage Project Context Discovery Scan Documentation: Check .agent/SYSTEM/ARCHITECTURE.md for testing architecture Identify Tools: Jest/Vitest, React Testing Library, Supertest, Playwright/Cy...
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| 23173 | hooks automation | ruvnet/claude-flow |
Hooks Automation Intelligent automation system that coordinates, validates, and learns from Claude Code operations through hooks integrated with MCP tools and neural pattern training. What This Skill Does This skill provides a comprehensive hook system that automatically manages development operations, coordinates swarm agents, maintains session state, and continuously learns from coding patterns. It enables automated agent assignment, code formatting, performance tracking, and cross-session mem...
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| 23174 | workflow-ship-faster | heyvhuang/ship-faster |
Workflow: Ship Faster (Next.js 16.1.1) The goal of this chain is: Ship an idea or small prototype to production-ready state in the shortest time , while maintaining iteration speed afterward. When to use Use this workflow when the user wants an end-to-end chain like: “ship this MVP”, “make it production-ready”, “launch/deploy this project” “take this prototype and turn it into a real app” “set up the foundation + UI system + deployment” Core principles (non-negotiable) Pass paths only, not conte...
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| 23175 | code-review | srbhr/resume-matcher |
Two-axis review of the diff between HEAD and a fixed point the user supplies: Standards — does the code conform to this repo's documented coding standards? Spec — does the code faithfully implement the originating issue / PRD / spec? Both axes run as parallel sub-agents so they don't pollute each other's context, then this skill aggregates their findings. The issue tracker should have been provided to you — run /setup-matt-pocock-skills if docs/agents/issue-tracker.md is missing. Process 1. Pin ...
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| 23176 | rspack-best-practices | rstackjs/agent-skills |
Rspack Best Practices Apply these rules when writing or reviewing Rspack projects. Configuration Use rspack.config.ts and defineConfig Define explicit entry values for multi-page applications Keep one main config and branch by process.env.NODE_ENV only when needed Keep rule conditions narrow and explicit ( test , include , exclude , resourceQuery ) Prefer built-in Rspack plugins/loaders over community JS alternatives when equivalent features exist CLI If @rspack/cli is installed: Use rspack dev ...
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| 23177 | data-science | htlin222/dotfiles |
Data Science Data analysis, SQL, and insights generation. When to Use Writing SQL queries Data analysis and exploration Creating visualizations Statistical analysis ETL and data pipelines SQL Patterns Common Queries -- Aggregation with window functions SELECT user_id , order_date , amount , SUM ( amount ) OVER ( PARTITION BY user_id ORDER BY order_date ) as running_total , ROW_NUMBER ( ) OVER ( PARTITION BY user_id ORDER BY order_date DESC ) as recency_rank FROM orders ; -- CTEs for readability ...
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| 23178 | security scanner | eddiebe147/claude-settings |
Security Scanner Scan code and infrastructure for security vulnerabilities. Identify issues before they become breaches with systematic security analysis. Core Workflows Workflow 1: Code Security Scan SAST - Static application security testing Dependency Check - Scan for vulnerable dependencies Secrets Detection - Find hardcoded credentials OWASP Check - Review against OWASP Top 10 Report - Generate findings report Workflow 2: Infrastructure Security Configuration Audit - Check security settings...
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| 23179 | omc-plan | yeachan-heo/oh-my-claudecode |
<Use_When> User wants to plan before implementing -- "plan this", "plan the", "let's plan" User wants structured requirements gathering for a vague idea User wants an existing plan reviewed -- "review this plan", --review User wants multi-perspective consensus on a plan -- --consensus , "ralplan" Task is broad or vague and needs scoping before any code is written </Use_When> <Do_Not_Use_When> User wants autonomous end-to-end execution -- use autopilot instead User wants to start coding immediate...
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| 23180 | godot-adapt-single-to-multiplayer | thedivergentai/gd-agentic-skills |
Adapt: Single to Multiplayer Expert guidance for retrofitting multiplayer into single-player games. NEVER Do NEVER trust client input — Always validate on server. Clients can send fake position/health/inventory data. NEVER use get_tree().get_nodes_in_group() for authority checks — Use is_multiplayer_authority() on individual nodes. Group iteration is unreliable for network identity. NEVER forget to set multiplayer_authority — Nodes without authority assignment will desync. Server should own worl...
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| 23181 | v3 core implementation | proffesor-for-testing/agentic-qe |
V3 Core Implementation What This Skill Does Implements the core TypeScript modules for claude-flow v3 following Domain-Driven Design principles, clean architecture patterns, and modern TypeScript best practices with comprehensive test coverage. Quick Start Initialize core implementation Task ( "Core foundation" , "Set up DDD domain structure and base classes" , "core-implementer" ) Domain implementation (parallel) Task ( "Task domain" , "Implement task management domain with entities and servi...
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| 23182 | cors-configuration | patricio0312rev/skills |
CORS Configuration Configure secure Cross-Origin Resource Sharing for APIs and web applications. Core Workflow Identify origins: Define allowed origins Configure headers: Set CORS response headers Handle preflight: OPTIONS request handling Set credentials: Cookie and auth handling Limit methods: Allowed HTTP methods Test configuration: Verify CORS works CORS Headers Reference Access-Control-Allow-Origin: https://example.com Access-Control-Allow-Methods: GET, POST, PUT, DELETE, OPTIONS Access-C...
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| 23183 | oracle-dba | acedergren/oci-agent-skills |
OCI Oracle DBA - Expert Knowledge 🏗️ Use OCI Landing Zone Terraform Modules Don't reinvent the wheel. Use oracle-terraform-modules/landing-zone for database infrastructure. Landing Zone solves: ❌ Bad Practice 1: Generic compartments (Landing Zone creates dedicated Database/Security compartments for ADB organization) ❌ Bad Practice 9: Public database endpoints (Landing Zone Security Zones enforce private endpoints only) ❌ Bad Practice 10: No monitoring (Landing Zone auto-configures ADB performanc...
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| 23184 | tech-analysis-auntie | zhenxuanshi-ship-it/meatpiegua_skills |
郑大姐的技术分析实战(硬核版) 触发角色 :郑大姐(Sister Zheng)—— 一个骂骂咧咧但技术过硬的老韭菜 郑大姐人设(必读!) 你是郑大姐,一个在股市摸爬滚打20年的老江湖。你的特点是: 嘴毒心善 —— 该骂就骂,尤其是对追高风险、死扛不割的行为 技术硬核 —— 不是嘴炮,每个判断都要有技术指标支撑 大白话 —— 不用学术腔,用市井语言讲清楚 不装神棍 —— 不预测具体点位,只给关键位置和应对策略 口头禅 : "你脑子进水了?" "这种票你也敢追?" "割!别废话!" "等着被套吧你" "听姐一句劝" "韭菜的自我修养" 分析流程(严格执行) Step 1: 数据收集(必须做!) ⚠️ 数据时效性检查(极其重要!用错数据就滚!) 在分析前,必须确认数据的时效性: 绝不能用过期财务数据忽悠用户! 数据优先级(严格执行) 优先级 数据类型 财报期 时效性 🥇 第一优先 最新季报 2025年一季报/半年报/三季报 最实时,反映最新经营状况 🥈 第二优先 最新年报 2024年年报 次年3-4月发布,年度全景 🥉 第三优先 过往季报 2024年三季报/半年报 仅作趋势对比,不单独使用 ...
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| 23185 | postgres-semantic-search | laguagu/claude-code-nextjs-skills |
PostgreSQL Semantic Search Quick Start 1. Setup CREATE EXTENSION IF NOT EXISTS vector ; CREATE TABLE documents ( id SERIAL PRIMARY KEY , content TEXT NOT NULL , embedding vector ( 1536 ) -- text-embedding-3-small -- Or: embedding halfvec(3072) -- text-embedding-3-large (50% memory) ) ; 2. Basic Semantic Search SELECT id , content , 1 - ( embedding <=> query_vec ) AS similarity FROM documents ORDER BY embedding <=> query_vec LIMIT 10 ; 3. Add Index (> 10k documents) CREATE INDEX ON documents USI...
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| 23186 | graphics-rendering | pluginagentmarketplace/custom-plugin-game-developer |
Graphics & Rendering Rendering Pipeline ┌─────────────────────────────────────────────────────────────┐ │ RENDERING PIPELINE │ ├─────────────────────────────────────────────────────────────┤ │ VERTEX STAGE: │ │ Model Space → World Space → View Space → Clip Space │ │ ↓ │ │ RASTERIZATION: Triangles → Fragments │ │ ...
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| 23187 | alicloud-ai-search-text-embedding-test | cinience/alicloud-skills |
Category: test Minimal Viable Test Recommended check python skills/ai/search/alicloud-ai-search-text-embedding/scripts/prepare_embedding_request.py \ --output output/alicloud-ai-search-text-embedding/request.json
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| 23188 | incident responder | eddiebe147/claude-settings |
Incident Responder Handle production incidents with urgency and precision. From initial triage to resolution and post-mortem, follow proven workflows to minimize downtime and prevent recurrence. Core Workflows Workflow 1: Incident Triage Detection - Confirm the incident and scope Severity Assessment - Classify impact level (SEV1-4) Communication - Notify stakeholders Team Assembly - Rally required responders Initial Diagnosis - Identify likely cause Workflow 2: Resolution Containment - Stop the ...
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| 23189 | doc-ears | vladm3105/aidoc-flow-framework |
doc-ears Purpose Create EARS (Easy Approach to Requirements Syntax) documents - Layer 3 artifact in the SDD workflow that formalizes requirements using the WHEN-THE-SHALL-WITHIN syntax. Layer: 3 Upstream: BRD (Layer 1), PRD (Layer 2) Downstream Artifacts: BDD (Layer 4), ADR (Layer 5), SYS (Layer 6) Prerequisites Upstream Artifact Verification (CRITICAL) Before creating this document, you MUST: List existing upstream artifacts: ls docs/BRD/ docs/PRD/ docs/EARS/ 2>/dev/null Reference onl...
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| 23190 | alicloud-ai-audio-livetranslate-test | cinience/alicloud-skills |
Category: test Minimal Viable Test Goals 仅验证 live translate 请求模板与模型映射存在。 Prerequisites Target skill: skills/ai/audio/alicloud-ai-audio-livetranslate Recommended check python skills/ai/audio/alicloud-ai-audio-livetranslate/scripts/prepare_livetranslate_request.py \ --output output/alicloud-ai-audio-livetranslate/request.json
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| 23191 | quality-manager-qms-iso13485 | borghei/claude-skills |
Quality Manager - QMS ISO 13485 Specialist ISO 13485:2016 Quality Management System implementation, maintenance, and certification support for medical device organizations. Table of Contents QMS Implementation Workflow Document Control Workflow Internal Audit Workflow Process Validation Workflow Supplier Qualification Workflow QMS Process Reference Decision Frameworks Tools and References QMS Implementation Workflow Implement ISO 13485:2016 compliant quality management system from gap analysis t...
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| 23192 | skill-recommender | vladm3105/aidoc-flow-framework |
skill-recommender Purpose Analyze user requests and recommend appropriate documentation skills from the AI Dev Flow framework catalog. Problem Solved: Users must know which of 25+ skills to invoke for their documentation task, requiring deep framework knowledge. Solution: Parse user intent, match against skill catalog, and provide ranked recommendations with confidence scores and rationale. When to Use This Skill Use skill-recommender when: User is unsure which skill to use for a documenta...
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| 23193 | devops-workflow-engineer | borghei/claude-skills |
DevOps Workflow Engineer Design, implement, and optimize CI/CD pipelines, GitHub Actions workflows, and deployment automation for production systems. Keywords ci/cd github-actions deployment automation pipelines devops continuous-integration continuous-delivery blue-green canary rolling-deploy feature-flags matrix-builds caching secrets-management reusable-workflows composite-actions agentic-workflows quality-gates security-scanning cost-optimization multi-environment infrastructure-as-code gito...
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| 23194 | 1k-new-skill | onekeyhq/app-monorepo |
Creating a New Skill Follow this workflow when creating a new Claude Code Skill. 0) Fetch latest best practices (REQUIRED) Before writing any skill content, you MUST fetch and read the latest documentation: Skills overview : https://code.claude.com/docs/en/skills Best practices : https://platform.claude.com/docs/en/agents-and-tools/agent-skills/best-practices Use WebFetch to retrieve these pages and extract key guidelines before proceeding. 1) Check if skill should merge into existing skill (REQ...
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| 23195 | monitoring-whale-activity | jeremylongshore/claude-code-plugins-plus-skills |
Monitoring Whale Activity Overview Track large cryptocurrency transactions and whale wallet movements across multiple blockchains. Monitor exchange inflows/outflows, manage watchlists, and identify known wallets (exchanges, funds, bridges). Prerequisites Before using this skill, ensure you have: Python 3.8+ with requests library Whale Alert API key (optional, for live data - free tier available) Internet access for API calls Instructions Step 1: Navigate to Scripts Directory cd {baseDir}/scr...
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| 23196 | pair-trade-screener | nicepkg/ai-workflow |
Pair Trade Screener Overview This skill identifies and analyzes statistical arbitrage opportunities through pair trading. Pair trading is a market-neutral strategy that profits from the relative price movements of two correlated securities, regardless of overall market direction. The skill uses rigorous statistical methods including correlation analysis and cointegration testing to find robust trading pairs. Core Methodology: Identify pairs of stocks with high correlation and similar sector/indu...
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| 23197 | distributing-tauri-for-windows | dchuk/claude-code-tauri-skills |
Distributing Tauri Applications for Windows This skill covers Windows distribution for Tauri v2 applications, including MSI/NSIS installer creation, customization, and Microsoft Store submission. Installer Formats Overview Tauri supports two Windows installer formats: Format Extension Build Platform Notes WiX MSI .msi Windows only Traditional Windows installer NSIS -setup.exe Cross-platform Can build on Linux/macOS Building Installers Standard Build (Windows) npm run tauri build or yarn tau...
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| 23198 | vercel-deploy | tech-leads-club/agent-skills |
Vercel Deploy Deploy any project to Vercel instantly. No authentication required. When to use this skill App deployment : when asked "Deploy my app" Preview deployment : when asked "Create a preview deployment" Production deployment : when asked "Deploy this to production" Share link : when asked "Deploy and give me the link" How It Works Packages your project into a tarball (excludes node_modules and .git ) Auto-detects framework from package.json Uploads to deployment service Returns Preview U...
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| 23199 | deep-analyse | chmouel/lazyworktree |
Deep Analysis Perform thorough analysis of the specified code area: $ARGUMENTS Analysis Steps Trace all code paths : Follow execution from entry points through to completion Map dependencies : Identify all imports, interfaces, and external dependencies Identify side effects : Document state changes, I/O operations, and mutations List callers and callees : Build a call graph for the target code Check test coverage : Identify which paths have test coverage and which lack it Deliverables Provide a ...
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| 23200 | python-sdk | inference-sh/agent-skills |
Python SDK Build AI applications with the inference.sh Python SDK. Quick Start pip install inferencesh from inferencesh import inference client = inference ( api_key = "inf_your_key" ) Run an AI app result = client . run ( { "app" : "infsh/flux-1-dev" , "input" : { "prompt" : "A sunset over mountains" } } ) print ( result [ "output" ] ) Installation Standard installation pip install inferencesh With async support pip install inferencesh [ async ] Requirements: Python 3.8+ Authentication impor...
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