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概要と使いどころ
Design a single-point rubric with one criterion and open columns for evidence. Use for student self-assessment, peer feedback, teacher formative feedback, or pre-task planning. Works with any learning target, with or without a band system.
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Design a media deconstruction protocol analysing persuasion, bias, or representation in media texts. Use when teaching students to critically read advertisements, news, or social media 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。
Design a sequence where students compare AI's handling of the same question across disciplines, developing a mental model of where AI is reliable vs. distorting based on knowledge type.
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。
Unpack a broad standard or competency descriptor into specific, assessable success criteria and sub-skills. Use when interpreting curriculum standards or writing learning objectives.
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。
SEO-friendly article writing, audit, and humanization workflow for Markdown content. Use when creating, outlining, editing, auditing, rewriting, or quality-checking blog posts, tutorials, comparisons, listicles, explainers, FAQ sections, excerpts, SEO titles, meta descriptions, tags, or Google-friendly content briefs that need clear topics, natural keyword use, on-page SEO review, reader-friendly prose, and iterative optimization.
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。
Technical documentation specialist and knowledge curator. Use when the user asks to talk to Paige or requests the tech writer.
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。
Internal Harness instruction source for iterate. Route through visible Harness aliases instead of invoking directly.
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 the user asks for a literature review, academic deep dive, research report, state-of-the-art survey, topic scoping, comparative analysis of methods/papers, grant background, or any request that needs multi-source scholarly evidence with citations. Also trigger proactively when a user question clearly requires academic grounding (e.g. "what's known about X", "compare approach A vs B in the literature", "summarize the field of Y"). Runs an 8-phase (Phase 0..7), script-driven research workflow across 7 federated sources (OpenAlex, arXiv, Crossref, PubMed, DBLP, bioRxiv, Exa) with optional Semantic Scholar / Brave MCP enrichment, with deduplication, transparent ranking, dual-backend citation chasing (OpenAlex + Semantic Scholar), self-critique, and structured report output with verifiable citations.
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。
Documentation templates and standards: README structure, API reference format, changelog (Keep a Changelog), and comment guidelines. Use when creating or updating documentation. Loaded automatically by the doc-writer agent.
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。
Write insurance proposals for commercial accounts. TRIGGERS - Use when user needs help with insurance-proposal-writer 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。
Write insurance blog content for SEO and education. TRIGGERS - Use when user needs help with insurance-blog-writer 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。
Verifies provider credentials via NPI MCP, searches Medicare coverage policies via CMS Coverage MCP, and maps clinical evidence to policy criteria with MET/NOT_MET/INSUFFICIENT assessment, per-criterion confidence scoring, and documentation gap analysis.
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。
Policy Writer
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。
Scope arbitration — resolve disagreements between product and engineering on what is in or out of scope, with a decision log and escalation path. Use when asked to "resolve this scope disagreement", "arbitrate between product and eng", "scope is creeping", "we can't agree on what's in scope", or "help us decide what to cut".
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。
Translation and interpretation as language meta-skills -- equivalence theory (Nida's formal vs. dynamic equivalence), translation strategies (borrowing, calque, transposition, modulation, adaptation), interpretation modes (simultaneous, consecutive, sight), source text analysis, register preservation, cultural adaptation, untranslatability and compensatory strategies, machine translation literacy, and back-translation for verification. Covers literary, technical, legal, and community interpreting contexts. Use when translating between languages, evaluating translation quality, teaching translation skills, or understanding the limits of cross-linguistic transfer.
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。
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
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 pattern for converting rule-following, checklist, or rubric skills into a fan-out map-reduce ensemble of parallel rigid sub-agents with corroboration-weighted merge; worker model tier and diversity are knobs matched to inference load and stakes, not fixed values. Apply when creating or refactoring a skill or agent that applies 10+ independent criteria in a single pass. Triggers on: 'review against a checklist', 'fan out', 'map reduce review', 'ensemble', 'split the rules', 'apply rubric', or any large ruleset being applied by one agent in one pass. NOT for tight single-pass transforms or rulesets under 5 criteria.
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。
Evaluate and iterate on the SDLC Layer Separation Architecture implementation. Runs validation checks (cross-references, doc completeness, layer metadata, integration points), produces a findings report, and supports iterative fixes. Use when validating first-pass implementation, before claiming layer work is complete, or when improving layer docs/schema.
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。
Works out a company's go-to-market motion (product-led, sales-led or hybrid) from its website and pricing, then maps the funnel stage by stage: a definition, strategy, leading inputs the team controls, lagging outputs with targets, cadence and owner for each stage, MQL, SQL and PQL criteria, post-sale stages, closed-lost re-entry paths and backward funnel maths from a revenue target. Triggers: "funnel strategy", "funnel stages", "pipeline stages", "PLG vs SLG", "lead qualification criteria", "map our sales process", "how do leads flow". Feeds /goals. Not for setting the target itself (use /goals).
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。
Write YouTube community-tab posts: text updates, polls, image-caption posts, and questions that drive comments and bring subscribers back between video uploads. Tuned to the community tab's role as a low-friction touchpoint that keeps a channel warm and feeds session signals. Returns a copy-paste block (community posts have no publishing API, so this is always manual by design). Use to write a community post or poll. Not for video titles or descriptions (use yt-title-optimizer and yt-description-writer).
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 高教社杯/CUMCM mathematical modeling papers need lightweight literature search, citation verification, method/background references, standards or policy sources, Chinese-English source routing, DOI/BibTeX checks, or claim-to-citation mapping without fabricated 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。
Expert VSL (Video Sales Letter) and product marketing video storyboard writer. Use when creating sales videos, product demos, explainer videos, social media video content, or marketing video scripts. Use when asked to "write a video script", "create a VSL", "storyboard a sales video", or "script a product demo". Produces storyboard scripts optimized for handoff to motion designer and Remotion video 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。
Expert GTM marketing copywriter for emails, content, and social media. Use when writing marketing emails, email sequences, newsletters, blog posts, LinkedIn posts, Twitter/X threads, social content, brand copy, or personal brand content. Use for launch announcements, product updates, thought leadership, and engagement copy.
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。