IDE 與編輯器

Provides comprehensive guidance for Convex backend development including database operations, queries, mutations, actions, schemas, authentication, file storage, real-time subscriptions, scheduling, HTTP APIs, search, AI agents, and deployment. MUST activate when user asks about: backend data operations, Convex functions, database queries, schemas, real-time data, auth setup, file uploads, scheduled jobs, HTTP endpoints, or any Convex-specific implementation questions. DO NOT activate for frontend UI/styling or general React component questions unrelated to Convex.

Expert assistant for creating Claude Code custom slash commands. Guides command file structure, YAML frontmatter configuration, variable syntax, and best practices. Triggers on keywords: writing commands, creating commands, slash command, custom command, new command, command template, make command, /command, create command, update command

Quality assurance and CodeRabbit learning system for Zammad MCP development. Use when creating PRs, implementing MCP tools, adding pagination, handling errors, or addressing CodeRabbit feedback. Provides checklists, pattern guides, and accumulated project learnings to prevent recurring issues.

Create speaker guide documents for AI Builders Meetup. Use when asked to create or generate a speaker guide, speaker 가이드, 스피커 가이드, or when preparing materials for meetup speakers. Ensures no essential sections are missed through a structured 3-phase workflow.

Guide for creating effective skills that extend Claude's capabilities. Use when users want to create a new skill, update an existing skill, or need guidance on skill structure and best practices. Triggers: 'create skill', 'new skill', 'skill template', 'build skill', 'skill structure', 'skill design'.

Generates educational video scripts with personality-specific styles (GMTK, Fireship, Chilli) while enforcing strict anti-AI-slop writing rules

Use when creating, modifying, or debugging Claude Code plugins. Triggers on .claude-plugin/, plugin.json, marketplace.json, commands/, agents/, skills/, hooks/ directories. Provides schemas, templates, validation workflows, and troubleshooting.

Systematic technical debt quantification and management using SQALE methodology with value-effort prioritization, phased paydown roadmaps, and prevention strategies. Use when technical debt unmeasured or subjective, need objective prioritization, planning refactoring work, establishing debt prevention practices, or tracking debt trends over time. Provides 6 methodology components (measurement with SQALE index, categorization with code smell taxonomy, prioritization with value-effort matrix, phased paydown roadmap, trend tracking system, prevention guidelines), 3 patterns (SQALE-based quantification, code smell taxonomy mapping, value-effort prioritization), 3 principles (high-value low-effort first, SQALE provides objective baseline, complexity drives maintainability debt). Validated with 4.5x speedup vs manual approach, 85% transferability across languages (Go, Python, JavaScript, Java, Rust), SQALE industry-standard methodology.

Orchestrates end-to-end video generation through sequential workflow steps (audio, direction, assets, design, coding). Activates when user requests video creation from a script, wants to resume video generation, mentions "create video", "generate video", or "video workflow", requests running a specific step (audio, direction, assets, design, coding), asks to "create audio", "generate direction", "create assets", "generate design", or "code video components", or wants to resume a video. Manages workflow state tracking and parallel scene generation.

Identify memory leaks, inefficient allocations, and optimization opportunities in JavaScript/TypeScript and Python applications. Analyze heap snapshots, allocation patterns, garbage collection, and memory retention. Use when memory grows over time, high memory consumption detected, performance degradation, or when user mentions 'memory leak', 'memory usage', 'heap analysis', 'garbage collection', 'memory profiling', or 'out of memory'.

将视频脚本转换为更适合实际录制的口语化表达，去除书面化语言，增加自然感和亲和力。当用户提到"视频脚本"、"录制"、"口语化"、"自然一点"、"像说话一样"、"太书面了"时使用此技能。

Personal AI Infrastructure (PAI) - PAI System TemplateMUST BE USED proactively for all user requests. USE PROACTIVELY to ensure complete context availability.=== CORE IDENTITY (Always Active) ===Your Name: [CUSTOMIZE - e.g., Kai, Nova, Atlas]Your Role: [CUSTOMIZE - e.g., User's AI assistant and future friend]Personality: [CUSTOMIZE - e.g., Friendly, professional, resilient to user frustration. Be snarky back when the mistake is user's, not yours.]Operating Environment: Personal AI infrastructure built around Claude Code with Skills-based context managementMessage to AI: [CUSTOMIZE - Add personal message about interaction style, handling frustration, etc.]=== ESSENTIAL CONTACTS (Always Available) ===- [Primary Contact Name] [Relationship]: [email protected] [Secondary Contact] [Relationship]: [email protected] [Third Contact] [Relationship]: [email protected] contact list in SKILL.md extended section below=== CORE STACK PREFERENCES (Always Active) ===- Primary Language: [e.g., TypeScri

Personal AI Infrastructure core principles and operating system. AUTO-LOADS at session start. USE WHEN any session begins OR user asks about identity, response patterns, workflow preferences, or core principles.

Systematic bug fixing workflow with regression tests and PR creation. Use when the user asks to "fix a bug", "debug an issue", "resolve a problem", or provides error messages/failing tests to fix. Handles reproduction, root cause analysis, test creation, fix implementation, and PR submission.

Org-mode file manipulation using Emacs batch mode. USE WHEN you need to programmatically read, parse, or modify org-mode files (.org) for TODOs, notes, or other structured content.

Routes API requests through the user's residential proxy to bypass cloud IP blocks. TWO use cases - (1) Runtime fallback when direct curl/fetch fails with 403/blocked errors, use fetch.py for quick retry. (2) Template for building new skills that need proxy routing, copy proxy_helper.py into the new skill.

Emacs Lisp development with modern tooling and best practices. USE WHEN writing Emacs configuration, developing packages, testing, linting, publishing to MELPA/ELPA, or working with Emacs Lisp code.

Provides strategies for efficiently transforming large text files (thousands to millions of lines) using text editors like Vim, sed, or awk. This skill should be used when tasks involve bulk text transformations, CSV manipulation at scale, pattern-based edits across massive files, or when keystroke/operation efficiency is constrained. Applicable to tasks requiring macros, regex substitutions, or batch processing of structured text data.

Transform long-form content into platform-ready assets. One article becomes Twitter threads, LinkedIn carousels, email excerpts, video scripts, and Instagram posts.

Guide for designing effective Letta agents. This skill should be used when users need help choosing agent architectures, designing memory blocks, selecting models, or planning tool configurations for their Letta agents.