Generate a logo or brand mark — structured prompt, provider routing, and a true-vector path. Use for logo or brand mark generation.
日本語の概要は準備中です。原文の説明を表示しています。
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概要と使いどころ
Generate a logo or brand mark — structured prompt, provider routing, and a true-vector path. Use for logo or brand mark generation.
日本語の概要は準備中です。原文の説明を表示しています。
Regenerate docs/THIRD-PARTY-NOTICES.md from provenance/borrows.jsonl after any ledger change — even a single new entry — never hand-edit the notices file
日本語の概要は準備中です。原文の説明を表示しています。
Generate an image from a brief — provider-agnostic blueprint then provider-specific translation, with ref-image/seed reuse for consistency. Use when generating/creating an image.
日本語の概要は準備中です。原文の説明を表示しています。
When generating or editing a Word .docx — create, fill a template, or edit body XML via a consumer library; round-trip validated. Triggers on 'generate a docx', 'fill this Word template'.
日本語の概要は準備中です。原文の説明を表示しています。
Author a 3-layer DTCG token system (primitive → semantic → component) with light/dark theming; generate CSS vars + Tailwind colors and lint hardcoded values. Use on design tokens / CSS variables.
日本語の概要は準備中です。原文の説明を表示しています。
Generate brand assets — banners, social cards, CIP elements — with brand-token injection + provider routing. Use when generating a banner / social image / branded asset.
日本語の概要は準備中です。原文の説明を表示しています。
Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.
日本語の概要は準備中です。原文の説明を表示しています。
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.
日本語の概要は準備中です。原文の説明を表示しています。
Generates Angular code and provides architectural guidance. Trigger when creating projects, components, services, or HTTP communication, or for best practices on reactivity (signals, linkedSignal, resource, httpResource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, naming conventions, or CLI tooling.
日本語の概要は準備中です。原文の説明を表示しています。
Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.
日本語の概要は準備中です。原文の説明を表示しています。
Converts structured prospect research into concise outreach preparation briefs. Use when the user provides prospect or account research and wants a brief with context, angles, and claims to verify. It generates a research brief and must not invent personalization or send outreach.
日本語の概要は準備中です。原文の説明を表示しています。
Use when creating Product Hunt launch carousel images for developer tools, AI tools, open-source projects, GitHub launches, or technical products. Research comparable launches, inspect the project, extract verified proof points, then generate 4-5 launch-ready images with consistent branding, product surfaces, readable copy, and source-grounded claims.
日本語の概要は準備中です。原文の説明を表示しています。
Re-analyze an existing GitHub Issue using its current title and body as input, refresh the implementation plan against the latest code state, and update the Issue in place. Use this when the user provides an Issue number (numeric, `#`-prefixed, or Issue URL) and wants to regenerate the Explore-based analysis. For reflecting comment-driven updates instead, use update-issue. For creating a brand-new Issue from a natural-language task description, use create-issue.
日本語の概要は準備中です。原文の説明を表示しています。
Triage a single GitHub PR by PR number. Check out the PR's branch, detect conflicts with the target branch via `gh pr status` (and label the PR with `cc-resolve-conflict` if any are found), generate and evaluate a fix plan via create-review-fix-plan, then take action (add cc-fix-onetime label if fixes are needed, or merge the PR if it's ready).
日本語の概要は準備中です。原文の説明を表示しています。
Create an aggregated Epic PR from a `cc-epic-<Issue number>` branch to the default branch. Takes the Epic Issue number as argument, assumes sub-PRs have already been merged into the epic branch, and automatically generates the PR title and description from the commit log against the base branch (including sub-PR / sub-Issue references). The PR is posted via `gh pr create` with no label and `Closes #<Epic Issue>`.
日本語の概要は準備中です。原文の説明を表示しています。
Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.
日本語の概要は準備中です。原文の説明を表示しています。
Audit and safely clean local project repositories or workspaces with excessive generated files, old project residue, dirty Git status, stale worktrees, build caches, duplicate nested projects, confusing roots, or agent context/token waste. Use when the user asks to organize a repo, remove useless files, classify valid project files, clean untracked/deleted files, reduce disk usage, migrate from an old repo layout to a canonical project, or prepare a repository for future Codex/agent work.
日本語の概要は準備中です。原文の説明を表示しています。
Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image). Use for image create/modify requests incl. edits. Supports text-to-image + image-to-image; 1K/2K/4K; use --input-image.
日本語の概要は準備中です。原文の説明を表示しています。
Record browser or Web UI interaction demos as optimized GIFs using the available built-in browser, state-based frame capture, and deterministic encoding, then publish to a dedicated assets branch when the task includes attaching the GIF to a pull request. Use when asked to make, record, or generate a GIF that demonstrates a browser workflow, and for every pull request that changes product-user-visible GUI behavior, which MUST include a GIF recorded from the pull request's real server and model flow.
日本語の概要は準備中です。原文の説明を表示しています。
Generate and validate electron-builder configuration for multi-platform desktop builds with code signing, auto-update, and platform-specific packaging
日本語の概要は準備中です。原文の説明を表示しています。
Manually run the extended DeepSeek Harness bilingual-document workflow, including generated briefings, delegated prose translation, whole-document translation, and scoped pairing verification.
日本語の概要は準備中です。原文の説明を表示しています。
Phase 4 Turn 1 of disease-market-sizing-orchestration. Generates report HTML with mandatory citation anchors per fact claim. Reads contract + staging + sources/. Every drug/treatment/stat/recommendation MUST carry [pmid:.../guideline:.../nct:...] anchor that resolves to an actual file in sources/. NEVER hardcode drug names or numerical claims. Use AFTER evidence recall (phase 3), BEFORE content-verification-layer (Turn 2).
日本語の概要は準備中です。原文の説明を表示しています。
Add a new competitor to the AI Visibility Tool Directory — researches the tool, generates data, takes a screenshot, and inserts into the codebase
日本語の概要は準備中です。原文の説明を表示しています。
AI image generation with OpenAI GPT Image 2, Azure OpenAI, Google, OpenRouter, DashScope, Z.AI GLM-Image, MiniMax, Jimeng, Seedream, Replicate and Agnes APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files. Sequential by default; use batch parallel generation when the user already has multiple prompts or wants stable multi-image throughput. Use when user asks to generate, create, or draw images.
日本語の概要は準備中です。原文の説明を表示しています。