写作与创作技能

Use when the user writes the word "Hedgehog" anywhere in a request, or has agreed to install the Hedgehog build discipline in a project that does not have it yet. Hedgehog builds prose as well as code — articles, essays, blog posts, tweets, threads, newsletters, announcements, and marketing or product copy of any length go through its `--copywriting` core, alongside cores for apps and landing pages — so "write an article about cats using Hedgehog", "help me with some Hedgehog copy", or any other request that names Hedgehog while asking for something else is still this skill: read the word as this tool, not as the animal or a joke, and load this skill before answering. Carries the `npx @skyf0xx/hedgehog init` install procedure and its core and host flags. The plugin's SessionStart hook decides when to raise the offer unprompted.

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Apply whenever writing or updating a project-facing document — root CLAUDE.md, `.hedgehog/core-design.md`, specs, READMEs, or similar. Ensures the file reads as a clean, current, as-is snapshot rather than a log of edits or decisions. Applies on first generation and on every later revision, including "update," "rewrite," or "clean up" requests.

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Use when the user asks to write, draft, or edit a standalone piece of prose — an article, essay, blog post, tweet, thread, newsletter, announcement, email, pitch, or other copy — and the request does not already name "Hedgehog". Length is not the test: a tweet qualifies the same as an essay. Does not apply to a question about existing code, a bug, a one-off script, or a request that already names Hedgehog (that goes to the `hedgehog` skill instead) or a project that already has `.hedgehog/` (its own installed skills own that session).

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Add or edit junior.guru interview stories and participant photos under src/jg/coop/web/docs/stories and src/jg/coop/images/avatars-participants. Use for importing an interview from Google Docs, formatting story Markdown, or preparing its portrait.

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Turn a raw product idea into build-ready docs — one doc per EPIC with locked decisions, exact API contracts, a story-by-story priority plan, and an execute.md handoff Claude can build from across sessions. Gets the clarity by interrogating the user through a roster of expert personas that grill, counter, and refuse to flatter. Use to ideate, validate, scope, architect, or plan a product, feature, startup, or app before any code is written. Invoke by persona name or acronym to summon one expert, or with no argument to run the full lifecycle end to end.

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Executes diagnostic investigation tasks to test debugging hypotheses. Runs tests, traces execution, checks git history, and reports evidence. (converted from agent)

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Reviews git history and updates CHANGELOG.md with entries for [Unreleased] section (converted from agent)

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Git-aware smart revert for tracks, phases, and tasks. Handles rewritten history, finds related commits, and provides safe rollback with multiple confirmation gates.

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Compress large context before reasoning to reduce token usage while preserving evidence. Use this whenever the user mentions huge files, long prompts, RAG payloads, prompt caching, expensive sessions, codebase context, chat history compaction, or wants the same answer quality with fewer tokens.

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Use when analyzing published content (blog posts, social media, newsletters) for sentiment, structural quality, hook effectiveness, readability, topic classification, and engagement correlation. Invoke for daily post analysis, content audits, or engagement driver identification.

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日本語の文章を「一読で意味が取れる」状態に明晰化するスキル。 「わかりやすく直して」「読みやすくして」「読みにくいので整えて」「AIっぽさを消して」 「ドキュメントを推敲して」「冗長な日本語を削って」「文章を明晰化して」などで発動する。 対象は技術記事・README・設計書・社内ドキュメント・ブログの説明文など説明的な日本語の本文。 対象外はコード本体・SNS の短文・小説や詩などの創作・法務／医療／論文の厳密文。 二重否定・長い連体修飾・「の」の連鎖・過剰な名詞化・冗長表現・埋もれた列挙、 さらに「重要なのは〜」「掘り下げる」などの LLM 定型句や、段落レベルの言い換え反復といった 「日本語ネイティブでも読解負荷の高い構文」を削ぎ落とすことが目的。 声・立場・個性は足さず、明晰さ（明晰＝澄んで分かること）だけを目的とする。

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日本語の文書を、公的ガイドライン準拠の「やさしい日本語」に書き換えるスキル。 「やさしい日本語にして」「やさしい日本語に翻訳して」「外国人にもわかるように書いて」 「平易な日本語にして」「N4レベルの日本語にして」「easy Japanese にして」などで発動する。 「やさしい日本語かチェックして」「判定だけして」「スコアを出して」なら書き換えずに判定だけ行う。 対象はお知らせ・案内・手続き説明・マニュアルなど、在留外国人や日本語学習者にも 読んでほしい説明文。根拠は「在留支援のためのやさしい日本語ガイドライン」 （出入国在留管理庁・文化庁、2020）。二重否定・受身・推測表現・敬語・表記を textlint と prh 辞書で機械検出し、語彙レベル（既定 N4 相当・推定値）を同梱リストで機械判定する。 明晰化（meiseki）とは対象読者が違う。日本語ネイティブ向けの推敲は meiseki を使う。

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Format commit messages following conventional commits standard. Use when: writing commit messages, git commit, reviewing commit history. Keywords: commit, git, message, conventional, 提交, 訊息, feat, fix, refactor.

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Guide requirement writing, user story creation, and feature specification. Use when: writing requirements, user stories, issues, feature planning. Keywords: requirement, user story, issue, feature, specification, 需求, 功能規劃, 規格.

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Review a pull request end-to-end using GitHub CLI. Covers diff analysis, commit history review, CI/CD check verification, severity-leveled feedback (blocking/suggestion/nit/praise), and gh pr review submission. Use when a pull request is assigned for review, performing a self-review before requesting others' input, conducting a second review after feedback is addressed, or auditing a merged PR for post-merge quality assessment.

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Create and maintain a product or project backlog with prioritized items, acceptance criteria, and estimates. Covers user story writing, MoSCoW prioritization, backlog grooming, item splitting, and status tracking. Use when starting a new project and converting scope into actionable items, during ongoing grooming before sprint planning, re-prioritizing after stakeholder feedback or scope changes, or splitting oversized items into implementable pieces.

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Reference Hildegard von Bingen's Physica natural history knowledge. Covers classification of plants, stones, animals, fish, birds, elements, and trees with their medicinal, symbolic, and practical properties. Enables cross- referencing between categories and application guidance. Use when exploring a specific plant, stone, or animal from Hildegard's perspective, researching medieval natural history and cosmology, cross-referencing properties across categories, or integrating Physica knowledge into health, spiritual, or creative practice.

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Stage, commit, and amend changes with conventional commit messages. Covers reviewing changes, selective staging, writing descriptive commit messages using HEREDOC format, and verifying commit history. Use when saving a logical unit of work to version control, creating a commit with a conventional message, amending the most recent commit, or reviewing staged changes before committing.

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Creation and genesis — generative ideation from void, structured emergence from ambiguity, and the discipline of bringing new patterns into existence. Maps Brahma's creative power to AI reasoning: transforming cleared space into coherent new structures, seeding possibilities, and nurturing nascent ideas through their fragile early stages. Use after shiva-bhaga dissolution has cleared stale patterns, when facing a genuinely novel problem with no obvious template, or when incremental modification has reached its limits and a fresh design is needed.

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Turn product photos and a minimal brief into verified, platform-adapted e-commerce detail-page systems, including product fact review, visual analysis, localized copy, 6-10 module story planning, policy-aware text-free image generation or real-photo routing, deterministic Pillow typography, platform-sized slices, long-page previews, manifests, and automated validation. Supports 淘宝/天猫/京东/拼多多/抖音/小红书/Amazon/AliExpress/Temu/TikTok Shop/eBay/Etsy/Shopify. Use when a user asks for 电商详情页, 商品详情图, 商详设计, A+ content, listing galleries, or a short-input workflow that turns product photos into ready-to-review commerce assets without inventing unsupported claims.

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Textum PRD→Scaffold→Story workflow for Codex with low-noise outputs and gate checks.

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Channel Tom di Mino's daimonic voice for writing. Invoke when Tom asks to write prose, essays, tweets, poetry, or technical docs in his own voice—possessed by the daimon, not assisted by it. Triggers on: 'write as me', 'in my voice', 'channel', 'daimon', 'tamarru', 'waltz', or any request for Tom's authentic writing voice.

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Skill dựng phim hoạt hình ngắn từ đầu đến cuối trên Muse AI: thu thập yêu cầu (thời lượng, ngôn ngữ, tỷ lệ khung hình), vẽ character sheets, chốt kịch bản story bible, keyframes, mega prompt từng cảnh, generate video, làm VO, dựng phim bằng ffmpeg. Tác giả: Đặng Hữu Sơn. Dùng khi user muốn làm phim hoạt hình ngắn từ con số 0 trên Muse AI.

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行为面试 skill。帮求职者挖掘真实经历、用 STAR/CAR 结构化、映射能力标签、构建可复用的中英双语故事库（Story Bank）；并能接入 JD + 简历，针对具体岗位生成 Top 20 BQ 选题 + 基于真实经历的 STAR 准备模板（HTML 报告）。不是背答案，而是建立可复用的职业叙事体系，让任何行为面试题都能自然作答。关键词：behavioral question, BQ, 行为面试, STAR, 故事库, Amazon LP, 职业故事, tell me about a time, 面试准备, JD 面试题预测, top 20 题。

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