Skip to main content
ClaudeWave

Skills de Claude Code · página 55

Skills individuales de Claude Code extraídas de todos los repositorios del directorio: cada SKILL.md, instalable con un comando, con su definición completa y las señales de confianza del repo.

12.771 skillsinstalación en 1 comando
  1. pdf1.2k

    Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.

  2. xlsx1.2k

    Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

  3. >-

  4. 29 production-ready scripts for iOS app testing, building, and automation. Provides semantic UI navigation, build automation, accessibility testing, and simulator lifecycle management. Optimized for AI agents with minimal token output.

  5. skills1.2k
  6. >

  7. >

  8. >

  9. >

  10. >

  11. >

  12. >

  13. >

  14. >

  15. >

  16. >

  17. >

  18. >

  19. Harness learning subsystem coordinator. Produces Tier 4 auto-update proposal payloads consumed by the orchestrator (which surfaces them via AskUserQuestion) and orchestrates Apply/Rollback flows. Triggers when harness learning proposals are pending or learning lifecycle management is needed.

  20. >

  21. >

  22. >

  23. >

  24. >

  25. >

  26. >

  27. >

  28. >

  29. >

  30. >

  31. >

  32. >

  33. >

  34. >

  35. >

  36. moai1.1k

    >

  37. >

  38. >

  39. >

  40. >

  41. >

  42. >

  43. >

  44. >

  45. >

  46. >

  47. >

  48. >

  49. >

  50. >

  51. >

  52. >

  53. >

  54. >

  55. >

  56. >

  57. >

  58. >

  59. >

  60. Design and build a high-converting questionnaire-style onboarding flow for your app, modelled on proven conversion patterns from top subscription apps.

  61. AWS API Gateway for REST and HTTP API management. Use when creating APIs, configuring integrations, setting up authorization, managing stages, implementing rate limiting, or troubleshooting API issues.

  62. AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns.

  63. AWS CloudFormation infrastructure as code for stack management. Use when writing templates, deploying stacks, managing drift, troubleshooting deployments, or organizing infrastructure with nested stacks.

  64. AWS CloudWatch monitoring for logs, metrics, alarms, and dashboards. Use when setting up monitoring, creating alarms, querying logs with Insights, configuring metric filters, building dashboards, or troubleshooting application issues.

  65. AWS Cognito user authentication and authorization service. Use when setting up user pools, configuring identity pools, implementing OAuth flows, managing user attributes, or integrating with social identity providers.

  66. AWS DynamoDB NoSQL database for scalable data storage. Use when designing table schemas, writing queries, configuring indexes, managing capacity, implementing single-table design, or troubleshooting performance issues.

  67. ec21.1k

    >

  68. ecs1.1k

    AWS ECS container orchestration for running Docker containers. Use when deploying containerized applications, configuring task definitions, setting up services, managing clusters, or troubleshooting container issues.

  69. eks1.1k

    AWS EKS Kubernetes management for clusters, node groups, and workloads. Use when creating clusters, configuring IRSA, managing node groups, deploying applications, or integrating with AWS services.

  70. AWS EventBridge serverless event bus for event-driven architectures. Use when creating rules, configuring event patterns, setting up scheduled events, integrating with SaaS, or building cross-account event routing.

  71. iam1.1k

    AWS Identity and Access Management for users, roles, policies, and permissions. Use when creating IAM policies, configuring cross-account access, setting up service roles, troubleshooting permission errors, or managing access control.

  72. lambda1.1k

    AWS Lambda serverless functions for event-driven compute. Use when creating functions, configuring triggers, debugging invocations, optimizing cold starts, setting up event source mappings, or managing layers.

  73. rds1.1k

    AWS RDS relational database service for managed databases. Use when provisioning databases, configuring backups, managing replicas, troubleshooting connectivity, or optimizing performance.

  74. s31.1k

    AWS S3 object storage for bucket management, object operations, and access control. Use when creating buckets, uploading files, configuring lifecycle policies, setting up static websites, managing permissions, or implementing cross-region replication.

  75. AWS Secrets Manager for secure secret storage and rotation. Use when storing credentials, configuring automatic rotation, managing secret versions, retrieving secrets in applications, or integrating with RDS.

  76. sns1.1k

    AWS SNS notification service for pub/sub messaging. Use when creating topics, managing subscriptions, configuring message filtering, sending notifications, or setting up mobile push.

  77. sqs1.1k

    AWS SQS message queue service for decoupled architectures. Use when creating queues, configuring dead-letter queues, managing visibility timeouts, implementing FIFO ordering, or integrating with Lambda.

  78. AWS Step Functions workflow orchestration with state machines. Use when designing workflows, implementing error handling, configuring parallel execution, integrating with AWS services, or debugging executions.

  79. Patterns and best practices for using ccstate state management in the vm0 platform

    vm0-ai/vm0Instalar
  80. Design patterns and conventions for the vm0 CLI user experience

    vm0-ai/vm0Instalar
  81. Deep code review and quality analysis for vm0 project

    vm0-ai/vm0Instalar
  82. commit1.1k

    Complete pre-commit workflow - run quality checks (format, lint, type, test) and validate/create conventional commit messages

    vm0-ai/vm0Instalar
  83. Database migrations and Drizzle ORM guidelines for the vm0 project

    vm0-ai/vm0Instalar
  84. Feature switch system guide for gating new user-facing features behind feature flags

    vm0-ai/vm0Instalar
  85. Core architectural and code quality principles that guide all development decisions in the vm0 project

    vm0-ai/vm0Instalar
  86. Technical debt management - scan codebase for bad smells and create tracking issues

    vm0-ai/vm0Instalar
  87. Comprehensive testing patterns and anti-patterns for writing and reviewing tests

    vm0-ai/vm0Instalar
  88. build1.1k

    |

  89. check1.1k

    |

  90. spec1.1k

    |

  91. |

  92. |

  93. deepen1.1k

    |

  94. grill1.1k

    |

  95. |

  96. review1.1k

    |

  97. Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

  98. >

  99. >

  100. Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, structure trace review with open coding and axial coding, inspect datasets, review experiments, query annotation configs, and use the GraphQL API. Use whenever the user is analyzing traces or spans, investigating LLM/agent failures, deciding what to do after instrumenting an app, building failure taxonomies, choosing what evals to write, or asking "what's going wrong", "what kinds of mistakes", or "where do I focus" — even without naming a technique.