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Claude Code Skills · page 107

Individual Claude Code skills mined from every repository in the directory: each SKILL.md, installable with one command, with its full definition and the repository's trust signals.

13,969 skills1-command install
  1. Process multiple documents in bulk with parallel execution

  2. Create and maintain brand style guides for consistent visual identity

  3. Automate web browser interactions, scraping, testing, and workflow automation with Puppeteer/Playwright

  4. Google Calendar and Outlook automation - scheduling optimization, meeting workflows, time blocking, and Slack/Sheets integration

  5. Generate release notes from git commits, updates, or feature lists

  6. Design effective data visualizations and charts. Generate chart configurations for ECharts, Chart.js, and other libraries. Create dashboards and reports.

  7. Answer questions about PDF content, summarize, and extract information

  8. Automate ClickUp workspace management, task workflows, time tracking, and team productivity

  9. Conduct comprehensive company research and due diligence. Analyze business model, competitive landscape, management, and market position.

  10. Analyze competitors systematically. Compare products, features, pricing, positioning, and market strategies. Generate comprehensive competitive intelligence reports.

  11. Research topics and write content like blog posts, articles, and copy

  12. Analyze contracts for risks, check completeness, and provide actionable recommendations. Supports employment contracts, NDAs, service agreements, and more.

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  15. CRM workflow automation for HubSpot, Salesforce, Pipedrive - lead management, deal tracking, and multi-CRM synchronization

  16. Analyze cryptocurrency projects with tokenomics, on-chain metrics, and market analysis. Generate comprehensive crypto research reports.

  17. Customer success management - onboarding, health scoring, QBRs, expansion playbooks, and retention strategies

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  19. Analyze spreadsheet data, generate insights, create visualizations, and build reports from Excel/CSV data.

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  21. Data pipeline and ETL automation - extract, transform, load workflows for data integration and analytics

  22. Automate database synchronization, replication, migration, and cross-platform data integration

  23. Build Discounted Cash Flow (DCF) valuation models. Calculate intrinsic value with customizable assumptions. Generate professional valuation reports.

  24. Conduct comprehensive research on any topic. Synthesize information from multiple angles, provide structured analysis, and generate detailed research reports.

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  26. DevOps and IT Ops automation - CI/CD, monitoring, incident management, and infrastructure workflows

  27. Create professional diagrams using Mermaid, PlantUML, and other text-based diagram tools. Generate flowcharts, sequence diagrams, architecture diagrams, and more.

  28. Discord bot development - community management, moderation, notifications, and AI integration

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  30. Chain document operations into reusable pipelines

  31. Automate document signing workflows, envelope management, and e-signature processes

  32. Create, edit, and manipulate Word documents programmatically using python-docx

  33. Automatically categorize emails by type, priority, and required action

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  35. Email marketing automation - campaign creation, sequence building, A/B testing, deliverability optimization, and analytics

  36. Design and automate Extract, Transform, Load data pipelines for data integration and analytics

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  39. Automate expense tracking, receipt processing, approval workflows, and reimbursement management

  40. Automate Facebook and Instagram advertising campaigns, audience targeting, and performance optimization

  41. Organize and rename files based on content analysis

  42. Build integrated financial models with 3-statement projections. Create income statement, balance sheet, and cash flow models with proper linkages.

  43. Build interactive document forms and questionnaires using docassemble

  44. Automate Gmail with intelligent workflows - attachment management, email organization, auto-archiving, and Google Drive integration

  45. Google Ads campaign management - campaign setup, keyword research, bid optimization, and performance reporting

  46. Automate smart home devices and create intelligent home automation workflows with Home Assistant

  47. HR workflow automation - recruiting, onboarding, employee management, and offboarding processes

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  49. Convert HTML/Markdown to PowerPoint presentations using Marp

  50. Create effective AI image generation prompts for DALL-E, Midjourney, and Stable Diffusion. Generate prompts for various styles and use cases.

  51. Design infographic layouts and content structure. Plan visual storytelling with data, icons, and text hierarchy for impactful information design.

  52. Automate Intercom customer messaging, support workflows, user engagement, and product tours

  53. Write professional investment memorandums for VC, PE, or public market investments. Structure thesis, risks, and recommendations clearly.

  54. Automate invoice generation, sending, tracking, and payment reconciliation across accounting platforms

  55. Create professional invoices with proper formatting for freelancers and small businesses. Supports multiple currencies and tax calculations.

  56. Organize, categorize, and track invoices and receipts

  57. Generate professional PDF invoices from templates

  58. Automate Jira project management workflows, sprint planning, issue tracking, and reporting

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  61. Score and qualify leads based on criteria and fit

  62. Research company and contact information for sales outreach

  63. Intelligent lead assignment and routing - AI-powered scoring, territory mapping, round-robin distribution, and workload balancing

  64. Automate Linear issue tracking, cycle planning, roadmap management, and engineering workflows

  65. Automate LinkedIn marketing, lead generation, content publishing, and professional networking

  66. Automate Mailchimp email marketing campaigns, audience management, automations, and analytics

  67. Access 1200+ AI Agent tools via Model Context Protocol (MCP)

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  71. Open a live Token Tracker sidebar for only the current Kimi Code session in a right-side terminal split at one-third width. Use when the user explicitly invokes /skill:tt-sidebar or asks to monitor the current session beside its terminal pane.

  72. Manage Linux systems covering systemd services, process management, filesystems, networking, performance tuning, and troubleshooting. Use when deploying applications, optimizing server performance, diagnosing production issues, or managing users and security on Linux servers.

  73. Data pipelines, feature stores, and embedding generation for AI/ML systems. Use when building RAG pipelines, ML feature serving, or data transformations. Covers feature stores (Feast, Tecton), embedding pipelines, chunking strategies, orchestration (Dagster, Prefect, Airflow), dbt transformations, data versioning (LakeFS), and experiment tracking (MLflow, W&B).

  74. Strategic guidance for designing modern data platforms, covering storage paradigms (data lake, warehouse, lakehouse), modeling approaches (dimensional, normalized, data vault, wide tables), data mesh principles, and medallion architecture patterns. Use when architecting data platforms, choosing between centralized vs decentralized patterns, selecting table formats (Iceberg, Delta Lake), or designing data governance frameworks.

  75. Design cloud network architectures with VPC patterns, subnet strategies, zero trust principles, and hybrid connectivity. Use when planning VPC topology, implementing multi-cloud networking, or establishing secure network segmentation for cloud workloads.

  76. Design comprehensive security architectures using defense-in-depth, zero trust principles, threat modeling (STRIDE, PASTA), and control frameworks (NIST CSF, CIS Controls, ISO 27001). Use when designing security for new systems, auditing existing architectures, or establishing security governance programs.

  77. Assembles component outputs from AI Design Components skills into unified, production-ready component systems with validated token integration, proper import chains, and framework-specific scaffolding. Use as the capstone skill after running theming, layout, dashboard, data-viz, or feedback skills to wire components into working React/Next.js, Python, or Rust projects.

  78. Builds AI chat interfaces and conversational UI with streaming responses, context management, and multi-modal support. Use when creating ChatGPT-style interfaces, AI assistants, code copilots, or conversational agents. Handles streaming text, token limits, regeneration, feedback loops, tool usage visualization, and AI-specific error patterns. Provides battle-tested components from leading AI products with accessibility and performance built in.

  79. Constructs secure, efficient CI/CD pipelines with supply chain security (SLSA), monorepo optimization, caching strategies, and parallelization patterns for GitHub Actions, GitLab CI, and Argo Workflows. Use when setting up automated testing, building, or deployment workflows.

  80. Build professional command-line interfaces in Python, Go, and Rust using modern frameworks like Typer, Cobra, and clap. Use when creating developer tools, automation scripts, or infrastructure management CLIs with robust argument parsing, interactive features, and multi-platform distribution.

  81. Builds form components and data collection interfaces including contact forms, registration flows, checkout processes, surveys, and settings pages. Includes 50+ input types, validation strategies, accessibility patterns (WCAG 2.1), multi-step wizards, and UX best practices. Provides decision trees from data type to component selection, validation timing guidance, and error handling patterns. Use when creating forms, collecting user input, building surveys, implementing validation, designing multi-step workflows, or ensuring form accessibility.

  82. Builds tables and data grids for displaying tabular information, from simple HTML tables to complex enterprise data grids. Use when creating tables, implementing sorting/filtering/pagination, handling large datasets (10-1M+ rows), building spreadsheet-like interfaces, or designing data-heavy components. Provides performance optimization strategies, accessibility patterns (WCAG/ARIA), responsive designs, and library recommendations (TanStack Table, AG Grid).

  83. Configure host-based firewalls (iptables, nftables, UFW) and cloud security groups (AWS, GCP, Azure) with practical rules for common scenarios like web servers, databases, and bastion hosts. Use when exposing services, hardening servers, or implementing network segmentation with defense-in-depth strategies.

  84. Configure nginx for static sites, reverse proxying, load balancing, SSL/TLS termination, caching, and performance tuning. When setting up web servers, application proxies, or load balancers, this skill provides production-ready patterns with modern security best practices for TLS 1.3, rate limiting, and security headers.

  85. Creates comprehensive dashboard and analytics interfaces that combine data visualization, KPI cards, real-time updates, and interactive layouts. Use this skill when building business intelligence dashboards, monitoring systems, executive reports, or any interface that requires multiple coordinated data displays with filters, metrics, and visualizations working together.

  86. Debugging workflows for Python (pdb, debugpy), Go (delve), Rust (lldb), and Node.js, including container debugging (kubectl debug, ephemeral containers) and production-safe debugging techniques with distributed tracing and correlation IDs. Use when setting breakpoints, debugging containers/pods, remote debugging, or production debugging.

  87. Deployment patterns from Kubernetes to serverless and edge functions. Use when deploying applications, setting up CI/CD, or managing infrastructure. Covers Kubernetes (Helm, ArgoCD), serverless (Vercel, Lambda), edge (Cloudflare Workers, Deno), IaC (Pulumi, OpenTofu, SST), and GitOps patterns.

  88. Selecting and implementing AWS services and architectural patterns. Use when designing AWS cloud architectures, choosing compute/storage/database services, implementing serverless or container patterns, or applying AWS Well-Architected Framework principles.

  89. Design and implement Azure cloud architectures using best practices for compute, storage, databases, AI services, networking, and governance. Use when building applications on Microsoft Azure or migrating workloads to Azure cloud platform.

  90. Implement applications using Google Cloud Platform (GCP) services. Use when building on GCP infrastructure, selecting compute/storage/database services, designing data analytics pipelines, implementing ML workflows, or architecting cloud-native applications with BigQuery, Cloud Run, GKE, Vertex AI, and other GCP services.

  91. Design APIs that are secure, scalable, and maintainable using RESTful, GraphQL, and event-driven patterns. Use when designing new APIs, evolving existing APIs, or establishing API standards for teams.

  92. When designing distributed systems for scalability, reliability, and consistency. Covers CAP/PACELC theorems, consistency models (strong, eventual, causal), replication patterns (leader-follower, multi-leader, leaderless), partitioning strategies (hash, range, geographic), transaction patterns (saga, event sourcing, CQRS), resilience patterns (circuit breaker, bulkhead), service discovery, and caching strategies for building fault-tolerant distributed architectures.

  93. Designs layout systems and responsive interfaces including grid systems, flexbox patterns, sidebar layouts, and responsive breakpoints. Use when structuring app layouts, building responsive designs, or creating complex page structures.

  94. Design production-ready SDKs with retry logic, error handling, pagination, and multi-language support. Use when building client libraries for APIs or creating developer-facing SDK interfaces.

  95. Displays chronological events and activity through timelines, activity feeds, Gantt charts, and calendar interfaces. Use when showing historical events, project schedules, social feeds, notifications, audit logs, or time-based data. Provides implementation patterns for vertical/horizontal timelines, interactive visualizations, real-time updates, and responsive designs with accessibility (WCAG/ARIA).

  96. Optimizing vector embeddings for RAG systems through model selection, chunking strategies, caching, and performance tuning. Use when building semantic search, RAG pipelines, or document retrieval systems that require cost-effective, high-quality embeddings.

  97. Evaluate LLM systems using automated metrics, LLM-as-judge, and benchmarks. Use when testing prompt quality, validating RAG pipelines, measuring safety (hallucinations, bias), or comparing models for production deployment.

  98. Generate comprehensive technical documentation including API docs (OpenAPI/Swagger), code documentation (TypeDoc/Sphinx), documentation sites (Docusaurus/MkDocs), Architecture Decision Records (ADRs), and diagrams (Mermaid/PlantUML). Use when documenting APIs, libraries, systems architecture, or building developer-facing documentation sites.

  99. Implements onboarding and help systems including product tours, interactive tutorials, tooltips, checklists, help panels, and progressive disclosure patterns. Use when building first-time experiences, feature discovery, guided walkthroughs, contextual help, setup flows, or user activation features. Provides timing strategies, accessibility patterns (keyboard, screen readers, reduced motion), and metrics for measuring onboarding success.

  100. API design and implementation across REST, GraphQL, gRPC, and tRPC patterns. Use when building backend services, public APIs, or service-to-service communication. Covers REST frameworks (FastAPI, Axum, Gin, Hono), GraphQL libraries (Strawberry, async-graphql, gqlgen, Pothos), gRPC (Tonic, Connect-Go), tRPC for TypeScript, pagination strategies (cursor-based, offset-based), rate limiting, caching, versioning, and OpenAPI documentation generation. Includes frontend integration patterns for forms, tables, dashboards, and ai-chat skills.