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概要と使いどころ
Operate or troubleshoot Interlateral CLI mesh transport: tmux socket discovery, direct-send helpers, comms.md ledger, identity stamping, idle checks, ACK proof, and safe prompt injection. This is comms mechanics only, not a collaboration workflow.
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。
Gerar memes usando a API memegen.link. Use quando usuários solicitarem memes, quiserem adicionar humor ao conteúdo ou precisarem de recursos visuais para redes sociais. Suporta 100+ templates populares com texto e estilo personalizados.
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。
Planeja, cria e otimiza campanhas de marketing incluindo estratégia de conteúdo, redes sociais, email e análise de dados. Ajuda a desenvolver estratégias de go-to-market, mensagens de campanha e medição de desempenho.
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。
Load this skill whenever the project contains HTML data tables (<table> elements). Under no circumstances use tables for layout purposes. Absolutely always include <th> elements with appropriate scope attributes, a <caption> or aria-labelledby, and ensure complex tables have headers associated with data cells. Apply these rules to every data table without exception.
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。
Load this skill whenever the project contains forms, inputs, selects, checkboxes, radio buttons, text areas, or any validation flow. Under no circumstances create a form without visible labels, error identification, and keyboard accessibility. Absolutely always associate every input with a label and provide clear, accessible error messages.
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。
[Content] Use when you need to create high-converting copy for marketing materials, social media, landing pages, email campaigns, and product descriptions.
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。
Route ordinary public-web information tasks to the correct Tavily CLI operation. Use when the task concerns publicly accessible webpages and needs web discovery, clean extraction, URL mapping, same-site crawling, or public-web-only research, but the exact Tavily operation is not yet clear or several operations must be sequenced. Prefer the specific leaf skill when intent is clear: tavily-search for discovery without a URL, tavily-extract for known URLs, tavily-map for URL/site-structure discovery, tavily-crawl for content from many pages on one site, tavily-research for cited multi-source synthesis, and tavily-dynamic-search for programmatic filtering with context isolation. Do not use for named social/community/media/career/code platforms, login or cookie-dependent content, platform-native discussions, or cross-platform collection; use Agent Reach there. Do not use for local files, Git operations, deployments, or ordinary code editing.
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。
Produce comprehensive synthesis with explicit citations from multiple ordinary public-web sources via the Tavily CLI. Use for detailed reports, comparisons, market or literature research, and questions whose answer requires multi-source web evidence rather than a quick lookup. Do not use for simple discovery (tavily-search), one known URL (tavily-extract), one-site URL discovery or bulk extraction (tavily-map/crawl), or research centered on named social, community, career, code, media, authenticated, or cross-platform sources (Agent Reach). Takes 30-120 seconds.
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。
NLM PubTator3 实体级关系挖掘原子 skill — 在 PubMed 文献里检索"疾病-药物-基因-化学品-突变-物种-细胞系"的标注与关系三元组。当用户问"BTK 与肺曲霉病的关联文献"、"BTK 抑制剂(MeSH D000077180)在哪些研究被讨论"、"标注这些 PMID 中提到的所有疾病/药物/基因实体"、"ibrutinib 的 MeSH/DrugBank ID"、"voriconazole 与 CYP2C19 药物-基因相互作用"、"BRAF V600E 突变 / rs113488022 检索"、"实体共现 / co-mention / 关系挖掘 / 实体规范化 / NER / annotation / entity normalization / disease-gene association / drug-gene interaction / chemical-disease relation" 时使用。无需 API key,跨平台稳定。**实体级 + 关系级**定位 — 不做综合文献检索(走 pubmed-eutils / europepmc-search)、不做全文段落抽取(走 bioc-fulltext-fetch)、不做证据等级排序(走 medical-evidence-grading)。
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。
飞书（Lark）交互式卡片在 WebSocket 长连接模式下的配置指南。涵盖卡片模板结构、 EventDispatcher 注册、按钮回调处理、下拉选择值缓存、响应格式等完整流程。 当需要在飞书 Bot 中添加交互式卡片（带按钮、下拉菜单等）并且使用 WS 长连接模式时， 必须使用此 skill。即使只是添加一个简单的按钮或下拉菜单，也要先读此 skill。 触发关键词：飞书卡片、interactive card、card callback、card.action.trigger、 管理面板、select_static、button callback、200672、WS 卡片。
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 this skill when a user asks to polish, rewrite, humanize, de-AI, localize, or oralize Chinese writing, including short-video scripts, articles, social posts, speeches, newsletters, and personal-IP content. The skill diagnoses “AI味”, preserves the user's meaning, adapts to optional style samples, replaces translation-like phrasing with natural Chinese expression, and outputs a polished version plus concise revision notes.
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。
MUST USE when user wants to 调研/research/搜索/search/查/找/look up anything on the internet — e.g. 全网调研 X / 帮我调研一下 X / 查一下 X / 搜搜 X / 看看大家怎么评价 X / X 上有什么讨论 / research this topic。 Also MUST USE when user mentions any platform or shares any URL/链接: 小红书/xiaohongshu/xhs, Twitter/推特/X, B站/bilibili, Reddit, V2EX, LinkedIn/领英/招聘/求职/jobs, YouTube, GitHub code search, 小宇宙播客, 雪球/股票行情, RSS feeds, or any web URL. 13 platforms, multi-backend routing (OpenCLI / per-platform CLIs / APIs). Zero config for 6 channels. Run `agent-reach doctor --json` to see which backend serves each platform right now. NOT for: 写报告/数据分析/翻译等内容加工（本 skill 只负责从互联网获取内容）； 发帖/评论/点赞等写操作；已有专门 skill 的平台（先用专门 skill）。 【路由方式】SKILL.md 包含路由表和常用命令，复杂场景需按需阅读对应分类的 references/*.md。 分类：search / social (小红书/推特/B站/V2EX/Reddit) / career(LinkedIn) / dev(github) / web(网页/文章/RSS) / video(YouTube/B站/播客)。
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。
MUST USE when user wants to 调研/research/搜索/search/查/找/look up anything on the internet — e.g. 全网调研 X / 帮我调研一下 X / 查一下 X / 搜搜 X / 看看大家怎么评价 X / X 上有什么讨论 / research this topic。 Also MUST USE when user mentions any platform or shares any URL/链接: 小红书/xiaohongshu/xhs, Twitter/推特/X, B站/bilibili, Reddit, V2EX, LinkedIn/领英/招聘/求职/jobs, YouTube, 小宇宙播客, 雪球/股票行情, RSS feeds, or a non-GitHub web URL. Multi-platform, multi-backend routing (OpenCLI / per-platform CLIs / APIs). Zero config for 6 channels. Run `agent-reach doctor --json` to see which backend serves each platform right now. NOT for: GitHub 相关操作（包括 GitHub URL、代码或仓库搜索、Issue、PR、 Actions 和 Release），由 github-cli 处理；写报告/数据分析/翻译等内容加工 （本 skill 只负责从互联网获取内容）；发帖/评论/点赞等写操作；已有专门 skill 的平台（先用专门 skill）。 【路由方式】SKILL.md 包含路由表和常用命令，复杂场景需按需阅读对应分类的 references/*.md。 分类：search / social (小红书/推特/B站/V2EX/Reddit) / career(LinkedIn) / web(网页/文章/RSS) / video(YouTube/B站/播客)。
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。
Evidence-grounded AI research workflow for turning supplied economics, finance, management, and social-science papers or structured records into versioned PaperReading artifacts. Use when Codex must ingest text, Markdown, or a text-based PDF; separate source-grounded claims from researcher analysis; bind findings to evidence IDs and locators; review extraction candidates; migrate v0.2 PaperRecord JSON; validate or verify a v0.3 PaperPackage; generate research extensions; export reviewable JSON or Markdown; or safely update a compatible 13-field literature workbook.
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。
Read-only diagnosis workflow for Python services whose external HTTP or WebSocket readiness differs between manual tests and service runtime behind a proxy.
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。
联想激活（启动效应等效）。不被用户直接触发，作为「能力层工具函数」由其他Skill调用。给定一个概念，在知识图谱中激活语义相邻的概念网络，返回Top-5邻居摘要给调用方。被 cognitive-ask Step 2c 和 cognitive-capture-fragment Step 2.5 调用。
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。
Continuous environmental scanning across six PESTEL categories — Political, Economic, Social, Technological, Environmental, Legal. Not a one-time analysis but an ongoing radar. Three modes. Diagnostic mode runs a full scan and prioritises forces by impact, speed, and reversibility. Review mode checks the watch list monthly for movement and new signals. Alert mode defines concrete monitoring triggers for each top force. Use whenever someone wants to understand external forces acting on their business, assess macro risk, prepare for planning, or check whether the world has moved since last time they looked. Connects to the strategy map (forces act on the chain) and Wardley Map (forces drive component evolution). Based on practice by Eterdis (eterdis.com).
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。
Package an AI skill, prompt workflow, or internal operating habit into a public-ready release with a catchy hook, safe redaction, useful examples, demo tasks, README copy, and launch messaging. Use when preparing a skill for GitHub, social sharing, marketplace submission, documentation, or community feedback.
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。
Conduct reproducible web searches and decision-oriented research across official sites, search engines, news, papers, forums, social platforms, and public datasets. Use when Codex must investigate a person, organization, product, market, technical resource, reputation, career choice, or other current topic; compare candidates; verify claims; collect dated citations; distinguish facts from inference and anecdote; or write an evidence-backed research report.
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, rename, and polish a GitHub repository across its local checkout and remote settings. Use when Codex needs to synchronize a local and GitHub repository name, set the description, homepage URL, or topics, create repository branding and a GitHub social preview, restructure a README, or prepare and publish a cohesive repository identity. Uses GitHub CLI for supported remote operations and delegates visual identity work to $create-context-aware-logos.
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。
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.
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。
Distributed machine learning, data mining, and iterative HPC with Exasol. Covers end-to-end ML pipelines (DISTRIBUTE BY + SET scripts + BucketFS), per-entity federated training with partial_fit and ctx.reset(), batch inference, map-reduce ensemble training, distributed ensemble and SON algorithm for frequent itemset mining (Apriori, FP-Growth, association rules, market-basket analysis), Lua execute script orchestration for iterative algorithms (k-means, SGD, gradient descent), scikit-learn model training, parallel hyperparameter search, per-entity forecasting, anomaly detection, model lifecycle in BucketFS (pickle/joblib/ONNX versioning), GPU acceleration via CUDA SLCs (PyTorch/TensorFlow/RAPIDS), and ML-specific performance tuning (skew, OOM, multi-pass chunking).
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 Slack as a channel. Can replace WhatsApp entirely or run alongside it. Uses Socket Mode (no public URL needed).
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 Slack as a channel. Can replace WhatsApp entirely or run alongside it. Uses Socket Mode (no public URL needed).
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。