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Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.

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Audits a methods section against a 45-item reporting checklist synthesized from the APSA Experimental Section rubric, JARS-Quant, CONSORT, and DA-RT, covering pre-registration, recruitment, randomization and treatments, sample flow and attrition, sample-size justification, three-tier results labeling, conjoint reporting, validity, and open-science infrastructure. Use when checking whether a methods section reports enough, preparing a submission or replication archive, asking what CONSORT, JARS, or DA-RT require, or documenting a deviation from a pre-analysis plan. Writing that plan before data collection goes to pre-registration-writing.

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。

Extract and display the final message from a Claude agent JSONL file. Use when the user wants to see an agent report, view agent output, extract agent results, check what an agent produced, or read the final response from a subagent. Triggers on requests like "show me agent report", "what did agent X produce", "extract agent output", "view agent results", or "get the report from agent ad42ecb".

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End-to-end research workflow skill for investment analysts and policy researchers. Three scope modes the user picks at trigger time — light (4-5 page decision memo, ~15 min, 0 charts), medium (12-15 page topic brief, ~1 h, 6-10 charts), heavy (flagship report 30-40 pages / 15k+ words, ~2-3 h, 25-35+ charts, multi-stage workflow, multi-LLM, PDF + Word + WeChat + HTML derivations). Reports default to English; the AI replies in the user's chat language. Battle-tested on real macro/policy/equity reports (e.g. Saudi Vision 2030 deep-dive). Triggers when user types /analyst-research, /flagship-research, or describes needs like "research report", "topic analysis", "investment research", "做研报", "投研报告", "主题分析", "深度分析", "policy assessment", "industry deep-dive". Not for: pure news commentary (use topic-brief), slide decks (use deckster-slide-generator), one-shot Q&A.

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。

Launch and collect independent Codex sessions (gpt-6-luna at high, xhigh or max; gpt-6.1-sol at low to xhigh) for bounded parallel work, from Claude Code or from Codex: one manifest, one detached launcher, one report a session, a drain while it runs, and a retry of the sessions that ended without a report. Owns the Codex transport when another skill sets the questions, as whole-run-investigation does for its lanes. Use when the operator asks for Luna or Sol sessions, a swarm, many sessions, a reasoning effort, a Codex subagent from Claude Code, or a later collection of reports. Tell a request to launch from one to wait and collect.

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。

Maintain the downstream pkg/oidc OpenID Provider and portal adapter, including client configuration, code/PKCE, claims, consent rendering, response policies, provider tokens, and conformance. Excludes upstream OAuth providers and portal refresh-token transport.

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。

Import information from foreign sources into a set of artifact kinds (the target), generating or updating them to reflect the imported information. Use when the user wants to "import", "ingest", or "bring in" external sources like files, URLs, or pasted text into artifacts like SPEC, CODE, DOCS, TASK, INFR, or OTHR.

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。

Report-only QA testing. Systematically tests a web application and produces a structured report with health score, screenshots, and repro steps — but never fixes anything. Use when asked to "just report bugs", "qa report only", or "test but don't fix". For the full test-fix-verify loop, use /qa instead.

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。

Odoo website and portal engineering guidance for QWeb templates, public and portal controllers, website models, frontend assets, and route integration. Use when working on Odoo website pages, portal flows, public forms, QWeb, website templates, portal access, or frontend behavior outside a pure OWL component.

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。

Blender MCP expert for scene inspection, Python scripting, GLTF export, and material/animation extraction. Activate when: (1) using Blender MCP tools (get_scene_info, execute_python, screenshot, etc.), (2) writing Blender Python scripts for extraction or manipulation, (3) exporting scenes to GLTF/GLB for web (Three.js, R3F), (4) debugging material or texture export losses, (5) optimizing GLB files with gltf-transform, (6) using asset integrations (PolyHaven, Sketchfab, Hyper3D Rodin, Hunyuan3D). Covers critical export gotchas, material mapping survival, texture optimization pipeline, headless CLI patterns, and known failure modes.

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 a topic to support a decision, three ways: draft a research prompt for the user to run in their own tool (ChatGPT, Gemini, Grok, Perplexity, …), turn a finished research report into a short summary with cited sources that other skills can use directly, or run the research here with parallel web searches. Built-in research types: market, domain, technical, competitive, user-voice, academic-lit; also supports choosing between candidates, and custom types via overrides. Use when the user says "deep recon", "research this", "draft a research prompt", "process this research report", "market research", "domain research", "technical research", "competitor research", "literature review", or "help me choose between"

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。

Decomposes portfolio risk with factor attribution, idiosyncratic risk, and marginal contribution to risk analysis. Use when decomposing portfolio risk, attributing risk sources, or analyzing factor risk contribution.

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。

Evaluates LP portfolio rebalancing pressure from denominator effects with over-allocation analysis and pace adjustment recommendations. Use when analyzing denominator effects, assessing LP allocation constraints, or modeling portfolio rebalancing.

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。

Monitors credit portfolio health with rating migration tracking, watchlist management, and early warning indicator analysis. Use when conducting portfolio surveillance, managing credit watchlists, or tracking credit migration.

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。

Structures operating partner involvement with portfolio company assignment, initiative tracking, and impact measurement. Use when coordinating operating partners, tracking operational initiatives, or measuring portfolio support impact.

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Structures co-investment reporting with deal-level performance, fee/carry calculations, and co-invest program aggregate analysis. Use when reporting co-invest performance, tracking deal-level returns, or preparing co-invest summaries.

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。

Structures investor portal organization with document hierarchy, access permissions, and communication archive management. Use when managing investor portals, organizing LP documentation, or maintaining investor communication records.

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。

Structures portfolio review with strategic fit assessment, divestiture candidate identification, and proceeds redeployment analysis. Use when reviewing corporate portfolios, identifying divestiture candidates, or planning asset dispositions.

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。

Runs Monte Carlo simulations for portfolio analysis with return distribution, tail risk, and path-dependent scenario evaluation. Use when running portfolio simulations, estimating tail risk, or analyzing return distributions.

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。

Constructs fund-level performance reporting with IRR, MOIC, DPI, RVPI, PME, and vintage year benchmarking. Use when building fund reports, calculating performance metrics, or preparing LP reporting packages.

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。

Evaluates netting benefits across derivative portfolios with bilateral vs cleared netting, portfolio compression, and capital savings. Use when analyzing netting efficiency, evaluating compression opportunities, or optimizing counterparty exposure.

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。

Parse, search, analyze, and ingest LinkedIn GDPR data exports into structured JSON or RLAMA for semantic search. Covers messages, connections, profile data, and Markdown export. Requires a LinkedIn GDPR ZIP file. Triggers on 'LinkedIn data', 'search messages', 'analyze connections', 'LinkedIn export', 'GDPR download'.

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, fetch, validate, or export DESIGN.md design system files in the Google Stitch 9-section format. Fetch reference designs from 68 brands (Linear, Stripe, Vercel, etc.) via getdesign CLI, generate scaffolds from existing CSS custom properties and Tailwind tokens, or validate and export with the Google @google/design.md CLI. Pairs with minoan-frontend-design for implementation. Triggers on "DESIGN.md", "create design system file", "extract design tokens", "codify the design", "getdesign", "make it look like [brand]", "lint design", "validate DESIGN.md", "export design tokens", "export tailwind theme".

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 publication-ready 2D graphics with proper DPI, color profiles, typography, and export formats for print and digital media. Use when preparing figures for academic journal submission, creating graphics for print publications, ensuring graphics meet publisher technical specifications, exporting visualizations for web with proper optimization, or creating multi-format exports from a single source.

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。