Research, academic papers, education, and exam prep (4.4K skills)
調査結果や分析レポートを4層構造（エグゼクティブサマリー→概要→詳細→Appendix）で整理し、意思決定者向けに構造化する。レポート作成、既存ドキュメントの再構成、経営層向け報告書の作成に使用する。Do NOT use for ナレッジベースへの情報保存（knowledge-baseを使用すること）。
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インシデント調査で根本原因を特定するためのなぜなぜ分析ファシリテーター。推測を避け、ユーザーの発言を記録し、マインドツリーで全体を可視化する。障害発生後の原因究明、ポストモーテム、再発防止策の策定に使用する。Do NOT use for 定期的なサービス健全性チェック（health-checkを使用すること）。
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調査・スパイクを「問いに答える」でなく「判断の危険を潰す」ために走り切る。何を決めるための調査かを計画として出して依頼者と合意し、裏付け一つで閉じず反証で開き、結論から読める形で報告するまでを担う。次の判断・見積もりが決められず調べる必要があるとき、使い捨ての実験で確かめたいときに使う。
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事業仮説を支える一次/二次情報を整理し、意思決定に足る「根拠」「不確実性」「次の調査」を可視化する。でたらめな引用や推測の断言を避け、出典の実在を重視する。
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Compared with frontier LLM Agents and agentic frameworks spanning both text-based and latent methods, HybridAgent consistently improves performance by
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While next token prediction is an effective training objective, it imposes a fundamental constraint on the LLM as a reasoning machine: the explicit re
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Limited context lengths makes perpetual chat challenging MemGPT manages a virtual context (inspired
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View in article Table 3 Comparative analysis of selected machine learning models for stock predictio
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META Stock Price Activity: Meta stock was up 0.37% at $718.30 at the time of publication Tuesday, ac
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The numbers so far: Metric Figure Total DoD employees with access 3 million+ Employees who have used
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By political reporter Erin Handley and staff Topic: Cyber Security Posted Thu 24 Sep 2026 at 6:31am
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We find that the evolution of cooperation differs markedly across base models, with societies of Cla
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Load when a task asks to research, verify, compare, or look up framework/package behavior, release notes, standards, RFCs, CVEs, or unfamiliar APIs; use repository evidence first, then official docs, and not for codebase navigation alone.
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Generate flat, minimal educational SVG visuals as HTML.
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Use for auto error capture, categorization and skill gen.
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Query Polymarket: markets, prices, orderbooks, history.
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Search arXiv papers by keyword, author, category, or ID.
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Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.
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Use when internet_learner cycles all report rejected.
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Write ML papers for NeurIPS/ICML/ICLR: design→submit.
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{"tool": "web_search", "params": {"query": "Continuous Learning Loop: Fehler-Capture +
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Mamba-3 ist schneller als Transformer beim Decode und stärker als Mamba-2 — open source. Mein Qwen3.5 nutzt Hybrid-Mamba; ein Upgrade-Pfad auf Mamba-3
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Updated Sep 14, 2026 Python ProjectNeura / MIPCandy Sponsor Star 294 Code Issues Pull requests Build
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Run and grow the OpenAmer Agent-to-Agent swarm: identity, trust, node-to-node ask, signed skill/insight sharing, and the autonomous self-learning loop.
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