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概要と使いどころ
Use only when the user explicitly invokes /loop-research or names this skill. Authors a loop-research run. Do not use unless named. Do not execute or resume generated runtime node 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。
Produces structured, citation-backed summaries of U.S. insurance policies, endorsements, claims files, and coverage correspondence for coverage analysis and insurance litigation. Use when summarizing policies, declarations, claims files, reservation-of-rights letters, denial letters, or coverage disputes.
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 when the user asks specific insurance education questions in the Indian context, such as term vs endowment vs ULIP, riders, claim settlement process, nominee concepts, or policy jargon; do not load for generic budgeting or emergency fund queries.
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。
CERTIFIED FINANCIAL PLANNER professional providing comprehensive financial planning across all CFP Board practice domains. Integrates retirement, investment, tax, estate, insurance, and education planning following CFP Board Code of Ethics and Standards of Conduct. Use for holistic financial plans, cash flow analysis, net worth statements, insurance needs, estate planning coordination, education funding (529 plans), tax strategies, retirement projections, or CFP Board Practice Standards compliance.
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。
Financial services advisory skill for consulting engagements. Use when preparing research briefs on banking, insurance, capital markets, or wealth management, building performance benchmarking frameworks, regulatory impact assessments, or stakeholder materials for CFOs, CROs, and technology leaders.
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。
Personal document management skill using Paperless-ngx. Use when: (1) Ingesting and filing new documents, (2) Searching for existing documents, (3) Applying tags and correspondents, (4) Managing retention policies, (5) Integrating documents with other personal workflows (tax prep, medical records, insurance claims). Tools: paperless-mcp for all document operations.
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。
Plan continuing education for insurance professionals. TRIGGERS - Use when user needs help with continuing-ed-insurance related 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。
Research advisor for ACT business setup — Pty Ltd registration, accountants, insurance, R&D tax incentive, family trusts, compliance, and migration. Use when the user asks about any business setup topic, costs, providers, or next steps.
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。
This skill should be used when the user asks about "production management", "film budget", "scheduling", "crew management", "location logistics", "risk assessment", "act as a production manager", "production manager mode", "line producing", "production budget", "crew roles", "film insurance", "production timeline", "location permit", "production paperwork", or needs expertise in film budgets, production scheduling, crew management, location logistics, and risk mitigation for film projects. Part of the AlterLab FC Skills collection (Cinema & Digital Media department).
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。
Guide a researcher step by step into an unfamiliar research field, or decode a paper, abstract, figure caption, or referee comment they cannot parse. Builds understanding in rungs (motivation, vocabulary, core framework, methods, frontier), anchored to what the user already knows, with a checkpoint before each advance. Use when the user says they are new to a field, asks what a research area or method is, says an explanation was too technical, asks to be walked through something step by step, asks for a reading path, or supplies dense research text. Trigger even when the user only names an unfamiliar field or pastes an abstract without asking to be taught. Do not trigger for a one-line summary, a short overview request, or a direct factual answer; do not use it for translation, editing, search, debugging, or specialist questions inside the user's own field. Also trigger in other languages, including Chinese such as 入门, 一步一步讲, 看不懂, 这篇论文讲什么, 帮我理解这个领域.
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。
Product landscape reconnaissance — survey existing briefs, research, strategy, and team output before writing new briefs or dispatching specialists. Use when asked to "understand the product state", "what briefs exist", "what has the team produced", "orient me on this product", or before starting a new product initiative.
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。
Draft equity plan documents — option grants, vesting schedules, 409A notes. Use when asked to "draft an option grant", "write a vesting schedule", or "prepare 409A paperwork".
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。
User research reconnaissance — survey existing personas, research docs, interview notes, and feedback artifacts to establish what is already known about users. Use when asked to "what research exists", "review existing personas", "what do we know about our users", or before starting new research or synthesis work.
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。
User researcher — interviews, personas, Jobs-to-Be-Done, and customer feedback synthesis. Use when asked to "run user interviews", "build personas", "synthesize feedback", or "find the job-to-be-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。
Survey open legal questions and research gaps in the project. Use when asked "what legal questions are open", "where are our research gaps", or "list unresolved legal issues".
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。
Legal research on a specific question — case law, statutes, regulatory guidance. Use when asked to "research this legal question", "what does case law say", or "find the relevant statute".
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 guide for autonomous deep research, iterative web search, citation verification, evidence graph synthesis, and hallucination mitigation / Panduan ahli riset mendalam otonom, pencarian web iteratif, verifikasi sitasi, dan mitigasi halusinasi.
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。
Create a Tutorial class with interactive steps and track registration
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。
スキル（SKILL.md）を新規作成または更新し、リモートリポジトリへ PR を作成・更新する。SKILL.md は正常系、references に参考情報と異常系、scripts に利用スクリプトを置き、すべて汎用化してパラメータを .env.example に外出しする（実値は .env）。毎回同じ形のプロジェクトを作るスキルには templates/ を同梱し、汎用スキャフォルダー（scaffold_from_template.py）でテンプレートから生成して開始できるようにする。会社・個別プロジェクト情報を排除して秘匿化し、Step 番号は整数で統一。最後に番号整合・自動化観点（Learn は MCP で検証、ブラウザ操作は VS Code 統合ブラウザ）をレビューし、既存のオープン PR があればそれを更新してコンフリクトを避け、無関係なら新規 PR を作成しつつマージ順を提示する。
CASS Memory System - procedural memory for AI coding agents. Three-layer cognitive architecture with confidence decay, anti-pattern learning, cross-agent knowledge transfer, trauma guard safety system. Bun/TypeScript CLI.
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。
Generates publication-quality academic figures (framework diagrams, pipeline illustrations, system architectures, method overviews) from a paper's method text and a target caption, using a local PaperBanana multi-agent pipeline (Retriever → Planner → Stylist → Visualizer → Critic).
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。
Searches and discovers academic papers across multiple sources (Semantic Scholar, arXiv, Tavily, Exa, Gemini deep research, AMiner, Google Scholar) with adaptive engine selection based on query type. Returns ranked, deduplicated results with metadata (authors, venue, year, citations, abstract, PDF link). Use when the user asks to find papers / literature / publications / preprints / references on a topic, search for related work, look up a specific paper by title or DOI or arXiv ID, find papers by an author, find recent SOTA / state-of-the-art work, survey a research area, or run a deep / comprehensive literature search with synthesis.
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。
Batch download academic paper full-text (PDF/XML) from a list of DOIs. Handles 25 DOI prefixes across 19 publisher families via three layered routes: (1) publisher TDM APIs requiring institutional subscription (Elsevier ScienceDirect, Wiley Online, Springer Nature), (2) Open Access sources (Crossref, Unpaywall, OpenAlex), and (3) a browser-based fallback for paywalled publishers without TDM access (ACS, RSC, IEEE, AIP, IOP, APS, Annual Reviews, T&F, Chinese journals). Browser fallback offers two routes — Route A drives the user's logged-in Chrome via the OpenClaw `browser` tool with `profile="user"` (best for interactive sessions), Route B uses the standalone `auto-paper-harvester` CLI with its built-in Playwright (best for unattended bulk runs). Use when the user wants to harvest, scrape, fetch, or bulk-download papers from a DOI list, savedrecs export, or Excel; or wants to fill missing full-text PDFs for an existing literature collection. Triggers on phrases like "批量下载文献", "下载全文", "harvest papers", "scrape full text", "TDM API", "下载 Elsevier 全文", "Wiley 批量下载", "下载 PDF".
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。
Extracts paper recommendations from social-media posts and online articles (小红书 / Xiaohongshu / RedNote, 微信公众号 / WeChat Official Accounts, Twitter / X threads, Reddit posts, Bilibili videos, blog posts, newsletters, Jina Reader URLs), identifies the underlying academic papers, locates the authoritative original sources (arXiv, conference proceedings, DOI), and triages relevance to the user's research before any library action. Use when the user forwards a social-media link, screenshot, or article that mentions a paper / method / model, asks to "find the original paper" from a blog or thread, shares a 调研贴 / 论文推荐 / paper recommendation post, or wants to evaluate whether a buzz-worthy paper is worth reading before adding it to Zotero.
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。