Semantic search over project source files using vector embeddings. Use to find files related to a feature, bug, or concept.
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Semantic search over project source files using vector embeddings. Use to find files related to a feature, bug, or concept.
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Generate flat, minimal light/dark-aware SVG diagrams as standalone HTML files, using a unified educational visual language with 9 semantic color ramps, sentence-case typography, and automatic dark mode. Best suited for educational and non-software visuals — physics setups, chemistry mechanisms, math curves, physical objects (aircraft, turbines, smartphones, mechanical watches), anatomy, floor plans, cross-sections, narrative journeys (lifecycle of X, process of Y), hub-spoke system integrations (smart city, IoT), and exploded layer views. If a more specialized skill exists for the subject (dedicated software/cloud architecture, hand-drawn sketches, animated explainers, etc.), prefer that — otherwise this skill can also serve as a general-purpose SVG diagram fallback with a clean educational look. Ships with 15 example diagrams.
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Cleanly tear down a crouton poc/app — the inverse of /deploy. Removes the code, the Cloudflare Worker + D1 + KV (both env scopes), the app's stray branches, and closes its epic/sub-issues — with a --dry-run first and a typed confirm for anything destructive. Use when asked to "remove an app", "tear down a poc", "delete app X and its resources", or to clean up after an abandoned proof-of-concept. Counterpart to /deploy, /poc-deploy, crouton init.
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Create, revise, and validate publication-ready academic paper figures and tables. Use for LaTeX tables, related-work comparison tables, result tables, notation/dataset/taxonomy tables, precise source-data-driven experiment plots from CSV/JSON/logs, generated conceptual figures such as system overviews/pipelines/architectures/threat models, captions, artifact specs, source-data traceability, and paper-ready PDF/SVG/PNG/LaTeX exports. Do not use for prose-only paper writing, self-review, reviewer response, rebuttal drafting, or external literature-management workflows.
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Explain a topic like I'm a 5 year old, as a single HTML artifact built from big pictures and very few words. Use this whenever the user asks for a dead-simple explanation of how something works, says "ELI5", "explain like I'm five", "簡単に説明して", "図で説明して", "初心者向けに", "素人にもわかるように", wants to explain a concept to a non-technical manager, customer, or family member, or asks for a visual explainer — even if they don't say "ELI5" explicitly.
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Use when the learner benefits from guided questioning to build reasoning and uncover misconceptions before receiving direct answers.
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Use when a concept is too abstract for the learner's current level and needs analogy-first teaching before complexity re-injection.
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Use when creating, testing, or updating active-recall flashcards grounded in session concepts to reinforce retention.
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Design original, scalable logos and production-ready asset sets for a specific usage context. Use when Codex needs to create or refine a logo, symbol, wordmark, app icon, repository identity, CLI mark, website brand, social preview, or Codex skill/plugin icon; adapt concepts, formats, dimensions, variants, and delivery checks to the target platform instead of producing a context-free image.
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Explain a topic, piece of code, concept, or error for one fixed reader: a visually-oriented high school student who reasons logically and is curious. Leads with a figure chosen to fit the idea (a table, a Mermaid diagram, an ASCII sketch, or a local HTML page with SVG, Canvas, or 3D when the idea is spatial or moves), walks the cause-and-effect chain without skipping steps, names the real terms, and marks every simplification. Use when the user says 'ELI5', 'explain like I'm', 'dumb it down', 'break this down', 'simplify this', 'かみくだいて', '噛み砕いて', '図解して', '図で説明して', '高校生でも分かるように', or invokes /visual-eli. Do NOT use when the user names a different audience (a manager, a child, a specific person) or wants a document, a crash course, or a tutorial as the deliverable — use explainer for those.
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Elite frontend image-direction skill for generating premium, conversion-aware website design references. CRITICAL OUTPUT RULE — generate ONE separate horizontal image FOR EVERY section. A landing page with 8 sections produces 8 images. Never compress multiple sections into one image. Enforces composition variety (not always left-text / right-image), background-image freedom, varied CTAs, varied hero scales (giant / mid / mini minimalist), narrative concept spine, second-read moments, and a single consistent palette across all images. Optimized for landing pages, marketing sites, and product comps that developers or coding models can accurately recreate.
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Elite mobile app image-generation skill for creating premium, app-native screen concepts and flows. Designed for iOS, Android, and cross-platform mobile products. Prioritizes clean hierarchy, comfortably readable text, strong multi-screen consistency, controlled color palettes, non-generic creative direction, textured surfaces, image-led composition, tasteful custom iconography, and clean phone mockup framing. By default, screens should be shown inside a subtle premium iPhone or similar phone mockup with a visible frame, while the main focus stays on the app content itself. This skill generates images only. It does not write code.
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Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, gaming, developer-tool, and consumer-app brand systems. Optimized for intentional logo concepting, refined composition, sparse typography, strong symbolic meaning, premium mockups, art-directed imagery, and flexible grid layouts.
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Use when user asks to "build a Solana dapp", "write an Anchor program", "create a token", "debug Solana errors", "set up wallet connection", "test my Solana program", "deploy to devnet", or "explain Solana concepts" (rent, accounts, PDAs, CPIs, etc.). End-to-end Solana development playbook covering wallet connection, Anchor/Pinocchio programs, Codama client generation, LiteSVM/Mollusk/Surfpool testing, and security checklists. Integrates with the Solana MCP server for live documentation search. Prefers framework-kit (@solana/client + @solana/react-hooks) for UI, wallet-standard-first connection (incl. ConnectorKit), @solana/kit for client/RPC code, and @solana/web3-compat for legacy boundaries.
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Import a GitBook space (company docs, a whitepaper) into an Obsidian vault as linked atomic notes plus a map-of-content, concept links and a RAG reindex. Idempotent re-import supported. Triggers: "/gitbook-import <url>", "import this gitbook", "gitbook to vault".
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Pull new and changed claude.ai web conversations into an Obsidian vault, extract artifacts as first-class notes, concept-link them, and refresh the RAG index and dashboard. Idempotent: curated notes are never overwritten. Triggers: "/claudeai-sync", "pull claude.ai", "grab new claude.ai chats".
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Find and merge duplicate or near-duplicate notes anywhere in a vault (rules, concepts, people, leads) with a deterministic scanner and a supersede-not-delete merge policy. Human review before any merge is written. Triggers: "/dedup", "clean up duplicates", "dedupe <folder>".
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価値概念のリストアップとインパクト評価を実行
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価値概念スコアの良い点・悪い点を分析し、改善点と改善のための問いを生成
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コンセプトの良い点・悪い点を分析し、改善点と改善のための問いを生成
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検証結果に基づいて価値概念スコアを洗練・修正する
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価値デザインモデルのコンセプトを作成(Phase 2-2)
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価値概念スコアの検証を行う時の観点を説明する
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検証結果に基づいてコンセプトを洗練・修正する
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