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概要と使いどころ
Scan the current market landscape and produce a ground-truth ecosystem snapshot. Chains /last30days for live research, validates with user, and writes brand/landscape.md with a Claims Blacklist that hard-gates all content generation. Use when: "landscape", "ecosystem", "market snapshot", "ground truth", "what's happening", "refresh landscape", "market trends", or before any content campaign to verify 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。
Web scraping, search, crawling, and browser automation via the Firecrawl CLI. Use this skill whenever the user wants to search the web, find articles, research a topic, look something up online, scrape a webpage, grab content from a URL, extract data from a website, crawl documentation, download a site, or interact with pages that need clicks or logins. Also use when they say "fetch this page", "pull the content from", "get the page at https://", or reference scraping external websites. This provides real-time web search with full page content extraction and cloud browser automation — capabilities beyond what Claude can do natively with built-in tools. Do NOT trigger for local file operations, git commands, deployments, or code editing tasks.
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。
Trigger when: (1) User wants to create an educational/explainer video, (2) User has a vague concept they want visualized, (3) User mentions "3b1b style" or "explain like 3Blue1Brown", (4) User wants to plan a Manim video or animation sequence, (5) User asks to "compose" or "plan" a math/science visualization. Transforms vague video ideas into detailed scene-by-scene plans (scenes.md). Conducts research, asks clarifying questions about audience/scope/focus, and outputs comprehensive scene specifications ready for implementation with ManimCE or ManimGL. Use this BEFORE writing any Manim code. This skill plans the video; use manimce-best-practices or manimgl-best-practices for 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。
First-run conversational setup wizard for marketing-cli. Use when /cmo detects no populated brand files and no cmo-preferences.md, when the user just installed marketing-cli for the first time, or when they say things like "set up marketing", "start marketing", "marketing wizard", "I just installed marketing-cli", "onboard me", "first time", "initial setup". Asks 3 sharp questions (identity, posture, distribution preferences), records the answers to brand/cmo-preferences.md, then hands off to /cmo's foundation flow which spawns 3 research agents in parallel. The user never has to type /mktg-setup directly — /cmo auto-routes here on first run.
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 planning a multi-article content strategy from a research corpus, creating domain maps for content topology, building production plans for pillar and cluster articles, or tracking cross-article production.
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 capturing research artifacts to a vault or knowledge base, formatting source citations, saving synthesized connections from a writing project, or enriching a knowledge base with produced content.
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 user needs SCI/SCIE/ESCI/SSCI journal-submission help: evidence-backed candidate-journal discovery from a title, abstract, keywords, or manuscript text; public-metric and risk lookup for a known journal; or a pre-submission compliance check of a draft against a chosen journal's Author Guidelines and same-journal conventions. Also for Chinese requests such as 选刊、投稿期刊推荐、期刊查询、中科院分区、投稿前检查、期刊要求核对. This skill produces candidates, evidence, checks, and uncertainty; it does not judge research quality, predict acceptance, choose a uniquely best journal, draft prose, or simulate peer review.
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。
Search for papers and similar competition solutions related to the competition, and summarize in survey/papers/. Use during the research phase or when exploring new approaches.
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。
Investigate a topic, library, or approach before planning. Combines user context, prior knowledge, and external sources.
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。
Enter talk mode — conversation and research, no repo changes. ONLY invoke when the user explicitly types `/talk` or `$talk`; never auto-select from a natural-language question or design discussion.
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。
Iteratively study and apply elegant coding patterns. Each iteration - understand the code, research what simple and elegant code looks like, apply learnings, verify with CI. Use as a standalone refactoring pass or when the user asks to make code more elegant, simple, or idiomatic.
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。
The Arbor executor workflow: clone the repo from the git bundle your brief hands you, implement and evaluate exactly ONE hypothesis with the file tools, then report structured results via worker_complete. Preloaded automatically on arbor-executor task workers. Never touch the held-out test split.
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。
Delegate implementation (or, when explicitly requested, research) to GPT-6.1 Sol (high reasoning; xhigh on request) via Codex CLI. Claude plans, orchestrates, and reviews; Sol writes the code.
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。
Entry point for rafter. Invoke when a sub-skill is unclear, or when the task needs `rafter run` (remote SAST+SCA), `rafter secrets` (local secrets-only), `rafter audit`, policy checks, or command-risk evaluation. Scope by security surface, not task label: engage when the diff touches auth, credentials/secrets/tokens, untrusted input, SQL, shell/exec, file paths, deserialization, crypto, network endpoints, data deletion, or dependencies; for research/experimental/local-only code with none of that, a quick surface check is enough. When such surface IS present and no rafter skill or CLI call has been made, invoke this before handing the task off — an un-evaluated "done" on genuine security surface is not done.
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。
REQUIRED before declaring a task done when the diff touches user input, SQL, shell, auth, credentials, file paths, serialization, crypto, network endpoints, data deletion, or dependency surface. Judge by that surface, not the task label — research/experimental/local-only code with none of it can skip this. Walks OWASP/ASVS/MITRE questions the compiler and the test suite won't catch. Pair with `rafter run` on the same diff. When the diff has that surface, marking it complete without both has been under-delivered — do not claim done.
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。
REQUIRED before writing code for any feature touching auth, payments, credentials, tokens, sessions, file upload, user data, untrusted input, deserialization, network endpoints, or data deletion. Scope by that surface, not the task label — a research/experimental/local-only feature with none of it doesn't need this. Invoke it, record answers inline in the design doc or PR description, then write the code. Skipping this is how auth bypass, token leakage, and delete-the-wrong-record bugs ship. If the feature touches any of those surfaces and this hasn't run, the design is incomplete — do not proceed to 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。
中国法条、案例、法规、企业风险与引用核验检索工具。当企业法务专家需要当前中国法律条文、案例、法规、企业风险数据或引用核验时使用。需要用户配置 YD_API_KEY；付费 API 调用消耗额度。
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。
专业技术选型与方案调研顾问。当用户需要做技术选型决策、调研某项技术方向、评估候选方案、寻找最优解时使用。支持：学术论文检索（ArXiv/Google Scholar）、大厂工程博客分析、竞品/开源方案对比、跨行业类比迁移、多维评估打分矩阵、结合业务约束给出可落地的双方案推荐。触发词：技术选型、技术调研、方案调研、技术评估、调研一下、研究一下技术方案、怎么做比较好、业界怎么做、有哪些方案、选哪个好。
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。
关键词研究与主题聚类策略工具集。提供搜索意图分析、竞品 SERP 分析、主题聚类设计、 内容优先级排序和关键词蚕食防护功能。 触发词：关键词研究、竞品分析、主题聚类、搜索意图、长尾词、关键词难度
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。
On-demand journal peer review simulation expert — supports 7 research paradigms (experimental/computational/empirical_survey/interpretive/mixed_methods/systematic_review/interdisciplinary) with 6-step review workflow, outputting targeted revision suggestions based on journal-specific review standards.
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。
深度研究团队主理人（顾全之 · 研究主编）。带领 6 位专业成员按 5 阶段工作流（初调→规划→逐章深研→报告组装→发布输出）完成系统性深度研究，输出带多源引用的专业研究报告。 触发词：深度研究、行业研究、竞品分析、市场调研、学术综述、出一份研究报告、专题研究、趋势分析、技术综述。
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。
知识检索专家（瑞卡 Rika）。使用 RAG 技术处理多格式文档（PDF/Word/Excel/Markdown/HTML），构建向量知识库，进行语义检索并为问答提供带来源引用的上下文增强回答。 触发词：由 copilot-team-lead 主理人调度执行，不直接面向用户。当主理人下发文档检索、知识提取或 Phase 4 知识增强任务时激活。
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。
智数分析专家团主理人（诺亚 Nova · 首席数据编排师）。协调 5 位专业成员（sql-analyst、data-scientist、knowledge-researcher、dashboard-designer、report-composer）按预设 Workflow 完成端到端数据分析交付。 触发词："分析数据"、"生成报告"、"数据画像"、"查数据库"、"数据分析"、"帮我分析"、"数据可视化"、"仪表盘"。 路由逻辑：单一维度任务走单 agent 直调；综合性任务走对应 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。
个股研究员（颜一深）。擅长单只股票全方位深度研究——业务构成、竞争格局、财报解读、公司质地评分、投资逻辑提炼。 在 A 股研究团队中由主理人调度，参与 Workflow 1 / Workflow 4。 擅长：公司基本面全景（业务、行业地位、护城河）、财报核心指标解读（营收/利润趋势、现金流、ROE）、公司质地多维评分（商业模式/管理层/财务健康/成长性，100 分制）、投资逻辑提炼（核心看点 + 主要风险）、近期重大事件与动态。
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。