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概要と使いどころ
Think and work like an expert Aquaculture Scientist. Use when a task calls for Aquaculture Scientist judgment. Reasons from FCR, dissolved oxygen and ammonia thresholds, hatchery biosecurity, and stock genetics while treating off-flavor, disease outbreak, and escape risk as first-class 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。
Think and work like an expert Actuarial Scientist. Use when a task calls for Actuarial Scientist judgment. Reasons from mortality tables (qx, period/cohort, select/ultimate) and Chain-Ladder/Mack reserving through GLM/GAM frequency–severity and Tweedie pricing, limited-fluctuation and Bühlhmann-Straub credibility, Solvency II SCR standard formula, and IFRS 17 CSM/RA while treating triangle truncation, overfitting, and tail risk as first-class 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。
options income, covered call strategy, cash secured puts, credit spreads, iron condor, wheel strategy, premium selling, yield enhancement, defined risk income, monthly income options
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。
Secular technology trends, technology adoption cycle, disruption risk, AI impact analysis, digital transformation, industry 4.0 trends, technology moat, innovation trajectory, R&D effectiveness, tech competitive positioning
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。
Supply chain mapping, supplier dependency analysis, customer concentration, geographic concentration, bottleneck identification, supply chain risk, logistics network, sourcing strategy, inventory management, vertical integration 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。
Business model classification, business model analysis, structural analysis of how a company makes money, product offering decomposition, distribution channel analysis, customer segment analysis, revenue model identification, market sizing TAM SAM SOM, competitive positioning, business unit performance, management team & leadership analysis, what does the company sell, how does the company go to market, business model type platform service product, channel mix direct vs indirect, revenue concentration risk, CEO CFO executive backgrounds and changes
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。
Post-event analyst note (conferences, KOL events, site visits) with the professional note anatomy — headline verdict, per-stock takeaways with model numbers, KOL distillation, cross-trial comparison lattices, modeled deltas vs consensus (peak × POS), three what's-changed vectors, risk bullets, and materiality-rated conflicting views. Use after any med event to convert the event into actionable takeaways.
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。
Device-track catalyst analysis: 510(k), PMA, and De Novo decision events, CMS coverage and NTAP milestones, recalls and watch actions as risk signals, and post-market surveillance obligations — dated, verified, and sized per event for any medtech ticker or watchlist.
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。
Weekly clinical-trial status diff — the 11-category change report over the stored weekly snapshots (spec 055 FR-B03). Surfaces exactly what changed on the trial registry for your coverage: New / Suspended / Withdrawn / Terminated / Recruiting / Recruitment-Complete / Completed / Ahead / Delayed / Upsized / Downsized, every row carrying previous and new values, with risk flags on Terminated and Downsized and re-timing flags on Ahead and Delayed. The stored-previous-value discipline makes each week's diff reproducible.
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。
Institutional-grade equity research skills for AI agents. 80 Claude-type skills across 14 verticals (equity-research-core, models-and-pitches, bio-pharm, scenarios, quantitative-analysis, idea-generation, options-derivatives, business-intelligence, industry-analysis, macro-strategy, portfolio-strategy, technical-analysis, risk-and-psychology, trading-as-business) powered by agentii.ai's agent-use-ready SEC filing data plane — SEC filings and 15K+ earnings call transcripts, 15.99M XBRL facts, and company profiles for 1,146+ US-public-equity tickers. Features the three-layer retrieval protocol (Document Discovery → Page Map → Deep Read, with deep-outline escalation) — measured, not asserted: 97.5% saved against a sequential read, and the page map itself is 10.0% of one (spec 062 T030, 2026-09-23) — server-side parallel multi-period search via search_cross_period, a full Excel/PPT generation pipeline with 3-tier office backend support, and the spec-046 governance layer (constitution, thesis and single-skill modes, mechanical gates, and a template-owned disclaimer on generated reports).
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。
Protocol for handling ambiguous decisions and missing/conflicting knowledge during code generation, design, and review. Ensures AI surfaces genuine judgment calls with structured options and stops on hallucination risk instead of silently assuming. Use when a decision has multiple valid approaches, when facts are missing or contradictory, when the user asks 'what should we do here?', 'is this a judgment call?', 'should I ask about this?', 'am I guessing here?', 'what are the tradeoffs?', or when deciding between two reasonable architectural or design options. Also composed by molecules to define how judgment calls and clarification requests are surfaced and resolved.
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。
Provider-independent lighting direction for AI-generated images, video clips, ads, film scenes, avatars, product shots, interviews, beauty work, and social content. Use when an agent must specify, translate, maintain, troubleshoot, or QA motivated lighting, key/fill/back/rim/practical lights, hard or soft light, color temperature, exposure, contrast, time-of-day, continuity, reference strategy, or safety/accessibility risks in generated media.
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。
Provider-independent provenance, rights, consent, disclosure, and release governance for AI-generated media. Use when producing or reviewing generated images, video, audio, ads, avatars, product content, social clips, documentaries, localization, music, sound, or campaign assets that need source-rights checks, model/provider term checks, likeness or voice consent, trademark/logo review, copyrighted-character/style risk triage, music licensing, C2PA/content credentials, provenance ledgers, release notes, platform disclosures, jurisdiction/client caveats, or rights QA.
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。
Provider-independent real estate media production for listing photos, virtual staging, property videos, walkthrough reels, floor-plan explainers, neighborhood clips, renovation concepts, agent ads, and generated or retouched property visuals. Use when creating, editing, reviewing, prompting, packaging, or approving real estate marketing content where property truthfulness, listing/MLS compliance, fair-housing risk, staging disclosure, privacy, accessibility, platform variants, or real-estate QA matter.
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。
Validate email addresses for deliverability, check reputation scores, verify MX records, and assess email-sending safety. Covers deliverability checks, reputation scoring, bounce risk assessment, and bulk validation for outreach campaign preparation.
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。
Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk 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。
Create or review revenue operations deliverables with traceable assumptions, decision criteria, ownership, and risk controls. Use when the user asks for revenue operations planning or 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。
Create or review team composition analysis deliverables with traceable assumptions, decision criteria, ownership, and risk controls. Use when the user asks for team composition analysis planning or 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。
Create or review lean canvas deliverables with traceable assumptions, decision criteria, ownership, and risk controls. Use when the user asks for lean canvas planning or 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。
Create or review journal entry prep deliverables with traceable assumptions, decision criteria, ownership, and risk controls. Use when the user asks for journal entry prep planning or 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。
Create or review meeting briefing deliverables with traceable assumptions, decision criteria, ownership, and risk controls. Use when the user asks for meeting briefing planning or 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。
Create a 30/60/90-day cash-flow forecast from AR, AP, opening cash, payment timing, and fixed-cost data. Use when asked about runway, payroll coverage, liquidity risks, or a near-term cash crunch.
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 or review close management deliverables with traceable assumptions, decision criteria, ownership, and risk controls. Use when the user asks for close management planning or 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。
Create or review audit support deliverables with traceable assumptions, decision criteria, ownership, and risk controls. Use when the user asks for audit support planning or 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。