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概要と使いどころ
Generate an Architecture Review Board (ARB) presentation in Coco Inc's standard 11-slide format. Use when someone asks to "create an ARB deck", "architecture review presentation", "prepare for architecture review board", "ARB slides", or needs to present a product/platform architecture for sign-off. Reads PRD, architecture maps, and project memory to pre-fill technical content. Produces a self-contained HTML slide deck.
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。
公众号贴图｜九宫格｜多图推送｜图片消息｜表情包 — 贴图与多图推送：从创意构思、规划图序、AI 生图到整组图审核，产出一组风格统一的图片 + 每张配文。发布走常规图文链路（拼成图文后 formatting + publish），微信原生「图片消息」需在公众号后台手动发。面向公众号运营、自媒体、IP 账号。触发词：「贴图」「多图推送」「发组图」「图片消息」「九宫格」「做一组图」「图片帖子」「发几张图」「不写正文发图」「只发图不写字」。是文章内配图/封面请走 aws-wechat-article-images；需要多环节串联（写+审+排+配图+发）请走 aws-wechat-article-main。
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。
公众号排版｜Markdown 转 HTML｜排版主题｜段落样式 — 公众号一键排版工具，Markdown 文稿转微信后台可粘贴 HTML，多主题、多字号、段落样式切换，所见即所得。面向公众号编辑、独立作者、排版岗。触发词：「排版」「版式」「美化」「格式化」「字号」「段落样式」「换个排版主题」「换个版式」「转 HTML」「弄好看点」「调整格式」。换预设包/品牌包/整套主题配色请走 aws-wechat-article-assets；需要多环节串联（写+审+排+配图+发）请走 aws-wechat-article-main。
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。
公众号运营｜微信公众号｜公众号一条龙｜公众号全流程｜自媒体运营｜wechat automation｜content pipeline｜AIGC workflow — 公众号一条龙运营总控入口，选题→写稿→审稿→排版→配图→发布串联 8 个子 skill，单条指令完成整篇图文从 0 到上架。面向公众号小编、自媒体、品牌内容。触发词分层：**一条龙流程**「一条龙」「完整流程」「从头做」「从 0 到发布」；**新做新发**「帮我写篇公众号文章」「做一篇公众号文章」「我想发一篇」「帮我发一篇」「再来一篇」；**选题起点**「今天写什么好」「有什么好写的」「找个话题」「爆款选题」「热点选题」「起个爆款标题」；**策划起点**「内容日历」「系列策划」「专栏规划」「连载」；**流程恢复**「接着上次那篇」「继续昨天的」「继续上次的」「接着之前的进度」；**显式模型新写**「用 GPT 写一篇」「用 DeepSeek 写一篇」「把提纲写成文章」。子 skill（topics/writing/review/formatting/images/publish/sticker/assets）单独触发仅限对**已有产物**的修改场景（如"改标题""润色这段""排版""审稿""加封面""发布"）；新做/策划/多环节串联一律走本入口。
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。
Analyze files and get detailed metadata including size, line counts, modification times, and content statistics. Use when users request file information, statistics, or analysis without modifying files.
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。
Pre-pipeline aggregator that scans AI agent cache directories (.claude, .cursor, .antigravity, .openclaw) or any user-specified directory for experimentation logs, extracts insights and numeric results, and formats them as PaperOrchestra-ready inputs (idea.md + experimental_log.md). TRIGGER when the user says "aggregate my agent logs for paper writing", "extract experiments from my coding agent history", "prepare PaperOrchestra inputs from my cache", "turn my agent logs into a paper", mentions a folder or directory they want to use as the basis for a paper, or wants to run PaperOrchestra but only has scattered agent experiment histories rather than structured inputs. Run this BEFORE paper-orchestra. Also called automatically by paper-orchestra when workspace/inputs/idea.md or workspace/inputs/experimental_log.md are missing.
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。
Expert economics paper writing assistant synthesizing advice from 50+ top guides by Cochrane, McCloskey, Shapiro, Head, Bellemare, Goldin, Glaeser, Kremer, and other leading economists. USE THIS SKILL whenever the user writes, edits, reviews, rewrites, or structures any economics paper, thesis, job market paper, abstract, introduction, conclusion, results section, literature review, or referee response. Also handles LaTeX formatting, presentations, and paper audits. Covers all paper types (applied, theory, structural, mixed) and all sections.
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。
Monthly, on the last weekday. Folds a month of the creative ledger against the daily metrics ledger to score angle, format, hook, and offer framing rather than individual files, tests every line currently in the creative doctrine against what the month actually measured, and rewrites the doctrine where the evidence disagrees with the assumption. It records the fatigue curve it observed, retires what has not earned, and changes nothing where the month holds too few rows to tell one angle from another.
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。
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.
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。
Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use when analyzing RNA-seq, WGS/WES, or ATAC-seq data—either local FASTQs or public datasets from GEO/SRA. Triggers on nf-core, Nextflow, FASTQ analysis, variant calling, gene expression, differential expression, GEO reanalysis, GSE/GSM/SRR accessions, or samplesheet creation.
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。
Minimal MDA source demonstrating relationship-graph footnotes and metadata.mda.* MDA-extended fields. Use as a reference fixture when learning the MDA source format.
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。
Source reputation tiers, cross-referencing methodology, bias detection, and citation format requirements
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。
Progressive L1-L6 refactoring hierarchy, 22 code smell taxonomy, atomic transformations, test code smells, and Fowler refactoring catalog
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。
Core JTBD theory and job story format - job dimensions, job story template, job stories vs user stories, 8-step universal job map, outcome statements, and forces of progress
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。
Critique dimensions, severity framework, verdict decision matrix, and review output format for documentation assessment reviews
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。
JTBD opportunity scoring and prioritization - outcome statement format, opportunity algorithm, scoring interpretation, feature prioritization, and opportunity matrix 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。
Cross-agent collaboration protocols, workflow handoff patterns, and commit message formats for TDD/Mikado/refactoring workflows
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 a PERSONAL brand needs AUDIO — voice cloning with ElevenLabs, Murf, or PlayHT, podcast production, audiobooks, and voiceover: short voiceover for TikTok and Reels, a 30 to 60 minute podcast format, and a 1-to-10 repurpose turning one episode into ten clips, in English with US, UK, AU, and SG accents. Trigger on 'voice clone', 'ElevenLabs', 'start a podcast', 'audiobook narration', 'AI voiceover for my videos', 'I hate re-recording the same intro'. Not for — video with a talking-head avatar, see `24-ai-avatar-production-global`; the script being read aloud, see `04-script-video-global`; written long-form posts, see `26-thought-leadership-content-global`.
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。
Dung khi cuoi thang can biet bai nao work bai nao khong va TAI SAO — phan loai winner/loser theo phan vi, tim pattern theo pillar, format, hook, gio dang va do dai. Kich hoat khi user nhac 'audit content', 'content nao dang work', 'bai nao hieu qua', 'danh gia noi dung thang', 'tai sao bai nay vieu', 'review content'. Khong dung cho — lap plan ky sau tu ket qua audit thi dung skill 40-next-content-plan; viet bao cao trinh sep thi dung skill 07-bao-cao-marketing.
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。
Dung khi da co lich content va can brief tung bai truoc khi viet — goc tiep can, insight goc, key message, CTA, format va tieu chuan nghiem thu. Kich hoat khi user nhac 'brief bai content', 'brief tung bai', 'goc cho bai nay', 'viet gi cho bai thu 3', 'content brief', 'huong dan viet bai'. Khong dung cho — lap lich ca thang thi dung skill 01-lich-noi-dung; viet caption thanh pham thi dung skill 37-caption-social; brief hinh anh thi dung skill 42-brief-hinh-anh.
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 ONE specific piece of content needs a brief before anyone writes — placement, angle plus the source insight behind it, key message, three hook options, CTA, format, brand voice reference, visual direction, and distribution. Trigger on 'content brief', 'brief for this post', 'brief a writer', 'what angle should this take', 'brief for the LinkedIn post', 'give the freelancer something to work from'. Also use when the user has a topic and no idea what to actually say about it. Not for — the month schedule of what posts when, see `01-content-calendar-global`; the finished caption text, see `37-social-caption-global`; a spoken video script, see `04-script-video-global`; the image spec, see `42-image-brief-global`.
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 published content has to be audited — pull channel data, classify winners and losers by percentile across pillar, format, and hook, find the pattern behind performance, and decide what to keep, kill, or scale. Trigger on 'content audit', 'which posts are working', 'content performance review', 'why did that one go viral', 'our reach is dropping', 'evaluate what we posted last month'. Also use when the user only says content does not seem to work anymore. Not for — the plan for next period built on these findings, see `40-next-content-plan-global`; paid ad account review, see `21-ads-audit-global`; the stakeholder report, see `07-marketing-report-global`.
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。
根据指定的行切片规则和列映射，将源DataFrame（df_sub）的列数据转换为长格式DataFrame，包含sub_id、trial、start_time、end_time等字段。
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 receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
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。