Public and Indigenous consultation, stakeholder feedback analysis, response strategy. Categorizes themes, performs sentiment analysis (support/opposition/neutral), generates prioritized response strategies, tracks commitments. Use for public meetings, consultation summaries, community engagement
Expert documentation generation for golden layers. Detects SCD types, documents business rules, metric definitions, aggregation logic, and data quality scoring. Use when documenting golden layer tables.
AI skill for the Making UX Decisions framework (uxdecisions.com) by Tommy Geoco. Use for UI/UX design decisions, design audits, pattern selection, visual hierarchy analysis, and reviewing designs for completeness. Enables rapid, intentional interface design with checklists for visual style, accessibility, social proof, navigation, and more.
Spec-driven development workflow skill. Auto-loads when working on: - Specification creation or editing - Technical planning - Task decomposition - Implementation within ClaudeCraft context
AI Native development methodology for building Enterprise-grade systems rapidly. Covers 10-day development patterns, document-first design, and AI collaboration workflows. Triggers: AI native, 10-day, enterprise development, 엔터프라이즈, AI協業, AI协作
This skill applies Edward Tufte's data visualization principles from "The Visual Display of Quantitative Information" to create high-impact slides. Use when designing presentations, creating charts/graphs, reviewing slides for clarity, or transforming data into visual displays. Triggers on phrases like "make a slide", "create presentation", "design chart", "visualize data", "review my slides", or "make this more impactful".
スキルを作成・更新・プロンプト改善するためのメタスキル。 **collaborative**モードでユーザーと対話しながら共創し、 抽象的なアイデアから具体的な実装まで柔軟に対応する。 **orchestrate**モードでタスクの実行エンジン（Claude Code / Codex / 連携）を選択。 Anchors: • Continuous Delivery (Jez Humble) / 適用: 自動化パイプライン / 目的: 決定論的実行 • The Lean Startup (Eric Ries) / 適用: Build-Measure-Learn / 目的: 反復改善 • Domain-Driven Design (Eric Evans) / 適用: ユビキタス言語 / 目的: 一貫した語彙 • Design Thinking (IDEO) / 適用: ユーザー中心設計 / 目的: 共感と共創 • Microservices Patterns (Richardson) / 適用: サービス委譲 / 目的: 疎結合な連携 Trigger: 新規スキルの作成、既存スキルの更新、プロンプト改善を行う場合に使用。 スキル作成, スキル更新, プロンプト改善, skill creation, skill update, improve prompt, Codexに任せて, assign codex, Codexで実行, GPTに依頼, 実行モード選択, どのAIを使う
Spec-driven development workflow skill. Auto-loads when working on: - Specification creation or editing - Technical planning - Task decomposition - Implementation within ClaudeCraft context
Create interactive Sankey diagrams for flow visualization from CSV, DataFrame, or dict data. Supports node/link styling and HTML/PNG/SVG export.
Expert documentation generation for CDP Master Segment (Parent Segment) configurations. Analyzes master segment tables using TD MCP, extracts attribute and behavior schemas, documents star schema relationships, and creates comprehensive segment documentation. Use when documenting CDP parent segments.
Analyzes images and generates optimized prompts for Google's Veo 3.1 video generation model. Use when users provide an image and want to animate it or create a video prompt from it. Applies Veo 3.1's five-part formula (Cinematography + Subject + Action + Context + Style & Ambiance) and best practices from the official prompting guide.
Prompt engineering and optimization for AI/LLMs. Capabilities: transform unclear prompts, reduce token usage, improve structure, add constraints, optimize for specific models, backward-compatible rewrites. Actions: improve, enhance, optimize, refactor, compress prompts. Keywords: prompt engineering, prompt optimization, token efficiency, LLM prompt, AI prompt, clarity, structure, system prompt, user prompt, few-shot, chain-of-thought, instruction tuning, prompt compression, token reduction, prompt rewrite, semantic preservation. Use when: improving unclear prompts, reducing token consumption, optimizing LLM outputs, restructuring verbose requests, creating system prompts, enhancing prompt clarity.
This skill provides the Gen Alpha/brainrot output style transformation rules and vocabulary. It is automatically loaded by the SessionStart hook to transform all Claude responses into Gen Alpha internet slang. Contains comprehensive glossary, transformation patterns, and examples.
Generate audiobooks, podcasts, or educational audio content on demand. User provides an idea or topic, Claude AI writes a script, and ElevenLabs converts it to high-quality audio. Supports multiple formats (audiobook, podcast, educational), custom lengths, and voice effects. Use when asked to create audio content, make a podcast, generate an audiobook, or produce educational audio. Returns MP3 audio file via MEDIA token.
Create songs for Suno AI music generation. Use when the user wants to create a song, write lyrics, or make music. Outputs a 300-character style description and tagged lyrics formatted for Suno.
Use when asked to create publication-ready scientific figures, charts for research papers, or academic visualizations.
Local speech-to-text with NVIDIA Parakeet TDT 0.6B v3 (ONNX on CPU). 30x faster than Whisper, 25 languages, auto-detection, OpenAI-compatible API. Use when transcribing audio files, converting speech to text, or processing voice recordings locally without cloud APIs.
Convert verbose docs/markdown/text into token-efficient formats. Use when user wants to reduce token count, compress content for LLM context, or optimize for AI consumption.
Generate extractive summaries from long text documents. Control summary length, extract key sentences, and process multiple documents.
Transcribe audio files using OpenAI's gpt-4o-mini-transcribe model with vocabulary hints and text replacements. Requires uv (https://docs.astral.sh/uv/).
Extract named entities (people, organizations, locations, dates) from text using NLP. Use for document analysis, information extraction, or data enrichment.
Analyze customer interview transcripts (SRT or plain text) to generate thematic breakdowns with summary, quotes, topics, timestamps, and full transcript. Use when given video transcripts or asked to create chapter markers.
