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13,498 skills indexed with the new KISS metadata standard.
Comprehensive DAG failure diagnosis and root cause analysis. Use for complex debugging requests requiring deep investigation like "diagnose and fix the pipeline", "full root cause analysis", "why is this failing and how to prevent it". For simple debugging ("why did dag fail", "show logs"), the airflow entrypoint skill handles it directly. This skill provides structured investigation and prevention recommendations.
Optimize command outputs with RTK (Rust Token Killer) for 70% token reduction
Release automation for Claw skills and website. Guides through version bumping, tagging, and release verification.
Automate Outlook Calendar tasks via Rube MCP (Composio): create events, manage attendees, find meeting times, and handle invitations. Always search tools first for current schemas.
Analyze a GitHub pull request including diff, comments, related issues, and local code context
`anl skill` is an Agent Skill initialization tool that generates AI-assisted development Skill files in your project.
Fetch GitHub issues, spawn sub-agents to implement fixes and open PRs, then monitor and address PR review comments. Usage: /gh-issues [owner/repo] [--label bug] [--limit 5] [--milestone v1.0] [--assignee @me] [--fork user/repo] [--watch] [--interval 5] [--reviews-only] [--cron] [--dry-run] [--model glm-5] [--notify-channel -1002381931352]
Core productivity workflows (daily planning, task triage, reporting) that work across any life domain. Not intended for direct use - imported by context-specific skills like covenant-marketing-ops or personal-life-ops.
Convert Android XML layouts to Jetpack Compose. Use when asked to migrate XML layouts, convert views to composables, or help with Compose migration. Handles layouts, widgets, attributes, styles, and resource references.
Expert assistance for building SignalWire AI Agents in Python. Automatically activates when working with AgentBase, SWAIG functions, skills, SWML, voice configuration, DataMap, or any signalwire_agents code. Provides patterns, best practices, and complete working examples.
分析Excel/CSV字段结构，AI自动生成中英文映射，验证翻译质量，输出统计报告。用于电子表格分析、数据字典创建、字段映射场景。
This skill should be used when users need to rent GPUs, run ML training jobs, or manage compute resources on Basilica's decentralized GPU marketplace. Use it for PyTorch/TensorFlow training, distributed training setup, GPU rental management, cost monitoring, or any Basilica CLI workflows. Includes workaround for non-TTY environments like Claude Code.
This skill should be used when users need to create, validate, or modify Moqui framework services, entities, and queries. It provides comprehensive guidance for writing correct Moqui XML definitions, following framework patterns and conventions.
Refactor MoonBit code to be idiomatic: shrink public APIs, convert functions to methods, use pattern matching with views, add loop invariants, and ensure test coverage without regressions.
Refactor MoonBit code to be idiomatic: shrink public APIs, convert functions to methods, use pattern matching with views, add loop invariants, and ensure test coverage without regressions.
Refactor MoonBit code to be idiomatic: shrink public APIs, convert functions to methods, use pattern matching with views, add loop invariants, and ensure test coverage without regressions.
Generate production-ready Rails applications with Inertia.js, React, TypeScript, Server-Side Rendering (SSR), and ShadcnUI components, configured for deployment with Kamal. Use when creating new Rails projects that need modern SPA-like frontend with SEO-friendly SSR, or when helping users set up Inertia.js with Rails. Supports PostgreSQL, MySQL, and SQLite databases.
Analyse rhétorique et épistémologique d'articles, discours et textes argumentatifs. Utiliser ce skill quand l'utilisateur demande d'analyser la qualité argumentative d'un texte, d'identifier des sophismes ou biais, d'évaluer la fiabilité des sources citées, de déconstruire la logique d'un raisonnement, ou de produire une réécriture critique structurée d'un document.
Writing Datasette plugins using Python and the pluggy plugin system. Use when Claude needs to: (1) Create a new Datasette plugin, (2) Implement plugin hooks like prepare_connection, register_routes, render_cell, etc., (3) Add custom SQL functions, (4) Create custom output renderers, (5) Add authentication or permissions logic, (6) Extend Datasette's UI with menus, actions, or templates, (7) Package a plugin for distribution on PyPI
Calculate monthly COGS, cost percentages, and manager bonuses (COGS + Top Line) using NET SALES for accuracy and detailed inventory data for restaurant locations.
Smart PRD generator with TaskMaster integration. Detects existing PRDs and offers execute/update/replace options. Generates comprehensive technical PRDs optimized for task breakdown, validates with 13 automated checks, and optionally executes tasks autonomously with datetime tracking and rollback support. Use when user requests "PRD", "product requirements", or mentions task-driven development. Default: PRD generation + handoff to TaskMaster. Optional: autonomous execution with 4 modes.
Expert in email content extraction and analysis. **Use whenever the user mentions .eml files, email messages, says "Extract email information", "Using the email information", or requests to extract, parse, analyze, or process email files.** Handles email thread parsing, attachment extraction, and converting emails to structured markdown format for AI processing. (project, gitignored)
Generate high-quality synthetic datasets using statistical samplers and Claude's native LLM capabilities. Use when users ask to create synthetic data, generate datasets, create fake/mock data, generate test data, training data, or any data generation task. Supports CSV, JSON, JSONL, Parquet output. Adapted from NVIDIA NeMo DataDesigner (Apache 2.0).
Refactor HTML/TSX files to use existing UI components, DaisyUI classes, and semantic colors. Use when (1) refactoring React/TSX page components to use reusable UI components, (2) replacing raw HTML elements with component library equivalents, (3) converting primitive Tailwind colors to semantic DaisyUI colors, (4) extracting repeated styling patterns into components.