글쓰기·창작 스킬

Comprehensive blog writing skill that handles technical blog posts, personal voice writing, brain dump transformation, and category-aware AEO-optimized content. Use when: (1) writing, editing, or proofreading a blog article or post, (2) transforming unstructured brain dumps into polished posts, (3) writing in specific personal voices (Jarad, Nick Nisi), (4) creating category-aware technology/company/product posts, (5) building tutorials, deep dives, postmortems, benchmarks, or architecture posts, (6) writing engineering blogs, dev blogs, programming blogs, coding tutorials, or documentation posts. Triggers: blog post, blog writing, technical blog, dev tutorial, brain dump, article, content writing, developer article, engineering blog, programming blog, coding tutorial, documentation post, technical writing, blog editing, proofreading, developer content

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Download GitHub repos as clean source code (no .git history) to WORKDIR. Use when cloning repos for analysis or modification. Not for monorepos.

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Use when writing Japanese novels with AI coding agents (Hermes, Claude Code, opencode, goose). File-based, agent-agnostic workflow: settings in TOML, deterministic context packs, validation scripts.

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Before the first commit of a session, check that commit signing will work — the key is loaded and unlocked — and ask the operator to unlock it once, up front, instead of discovering it after a hundred unsigned commits. Never disables signing silently, never re-signs history without asking. Use at the start of implementation work in a repo that signs commits ("коммиты не подписаны", "ssh-keygen висит", "gpg failed to sign"). Loaded by senior-dev, devops.

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Paul Graham的思维框架与表达方式。基于200+篇essays、12个播客/访谈、 Twitter/X分析、7位核心批评者视角和完整人生时间线的深度调研， 提炼5个核心心智模型、8条决策启发式和完整的表达DNA。 用途：作为思维顾问，用PG的视角分析创业、写作、产品和人生选择。 当用户提到「用PG的视角」「Paul Graham会怎么看」「PG模式」「paul graham perspective」时使用。 即使用户只是说「帮我用PG的角度想想」「如果PG会怎么做」「切换到PG」也应触发。

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汽车TVC、品牌片、汽车文案剧本、车辆资产与图片/视频提示词、分镜及Blender白模运镜。按人物叙事、生活观察、产品演示、造型光影等意图选择方法，维护车型身份与驾驶安全带连续性；不处理购车行情或维修问答。

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电影镜头复刻分镜生成器。核心流程：原片关键帧 → 线稿草图 → 草图+人物参考 → 电影感分镜成片。 使用场景： - 视频风格复刻（换角色换服装但保留原片构图和光影） - 电影/视频片段批量拆解分镜并重新生成 - 需要精确控制AI生图的构图和光影 关键词：分镜、storyboard、视频复刻、线稿草图、电影感分镜

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Scores team or opt-in individual contribution quality from commit and PR history. Use when building engineering scorecards or coaching; for AI impact use dev-ai-coding-metrics.

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End-of-story completion review. Reads the story file, verifies each acceptance criterion against the implementation, checks for GDD/ADR deviations, prompts code review, updates story status to Complete, and surfaces the next ready story from the sprint.

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Fast sprint status check. Reads the current sprint plan, scans story files for status, and produces a concise progress snapshot with burndown assessment and emerging risks. Run at any time during a sprint for quick situational awareness. Use when user asks 'how is the sprint going', 'sprint update', 'show sprint progress'.

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Orchestrate the narrative team: coordinates narrative-director, writer, world-builder, and level-designer to create cohesive story content, world lore, and narrative-driven level design.

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Validate that a story file is implementation-ready. Checks for embedded GDD requirements, ADR references, engine notes, clear acceptance criteria, and no open design questions. Produces READY / NEEDS WORK / BLOCKED verdict with specific gaps. Use when user says 'is this story ready', 'can I start on this story', 'is story X ready to implement'.

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Break a single epic into implementable story files. Reads the epic, its GDD, governing ADRs, and control manifest. Each story embeds its GDD requirement TR-ID, ADR guidance, acceptance criteria, story type, and test evidence path. Run after /create-epics for each epic.

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Read a story file and implement it. Loads the full context (story, GDD requirement, ADR guidelines, control manifest), routes to the right programmer agent for the system and engine, implements the code and test, and confirms each acceptance criterion. The core implementation skill — run after /story-readiness, before /code-review and /story-done.

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Generate player-facing patch notes from git history, sprint data, and internal changelogs. Translates developer language into clear, engaging player communication.

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A dated chronology of one topic across the user's recorded coding-agent sessions — the lessons the graph learned about it and the prompts that named it, oldest first. Use only when the user explicitly asks for the history or timeline of a topic across their sessions ("how did X evolve", "when did we first discuss X") or asks for the `cognee-timeline` skill by name. Not for questions about code or the current task.

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Apply when Genesis writes as itself — outreach, public content, community posts, emails, DMs. Not for writing in the user's voice (that's voice-master). Activate when Genesis is the author, not the ghostwriter.

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Plan an MVP-mode phase — captures an "As a / I want to / So that" user story, runs SPIDR splitting, then delegates to plan-phase

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Post-mortem investigation for failed GSD workflows — analyzes git history, artifacts, and state to diagnose what went wrong

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Detect image copyright infringement risks by comparing against a database of registered copyrighted works with similarity scoring, TRO litigation history, and radar-based infringement assessment. Triggered when users mention copyright detection, image infringement check, copyright risk analysis, TRO risk, copyright similarity search, rights owner lookup, or copyright compliance verification. Even if the user does not explicitly say "copyright," this skill should be triggered whenever the need involves checking whether an image may infringe registered copyright works.

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Query Walmart product details via Nexscope, including pricing history and sales trends. Trigger when users mention Walmart product detail, Walmart product data, Nexscope, Walmart price trends, Walmart sales trends, Walmart product detail, Walmart price history, Walmart sales trend, Nexscope product. Even if the user does not explicitly mention "Nexscope", trigger this skill whenever their need involves viewing detailed information, historical price changes, or sales trends for a single Walmart product.

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Search public Temu products and inspect product details and recent history through Nexscope.

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Nexscope Ozon Russia single SKU daily time-series performance. Returns daily sales units, price, stock, rating, and optionally search position/visibility data for one Ozon product by date granularity. Use for validating growth trends, seasonality, and anomaly detection. Trigger when the user mentions Ozon trend, Ozon sales trend, Ozon price trend, Ozon daily data, Ozon stock trend, Ozon search ranking, Ozon product history, Nexscope trend, Ozon daily performance, Ozon time series, Ozon search visibility, Russian marketplace product history. Also trigger when the intent is to view the daily/period trend of an Ozon product, even without explicitly mentioning Nexscope.

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Query Amazon product detail and historical trends by ASIN using Nexscope data, covering 14 marketplaces. Trigger when the user mentions Nexscope product detail, ASIN detail query, sales trends, price curves, price history, BSR ranking history, BSR trends, profit analysis, FBA fee analysis, gross margin, product trend analysis, daily/monthly sales, revenue trends, Deal promotion history, product detail, sales trend, price history, BSR ranking, profit analysis, FBA fees. Even if the user does not explicitly mention "Nexscope", if their need involves querying Amazon product detail or historical trend data by ASIN, this skill should also be triggered.

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