Research & Learning skills

Turn a verified correction or repeated workflow into a reusable local learning.

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Researches a company from its URL and produces a Brand DNA file covering positioning, audience, competitors, voice, and messaging. Use when starting work with a new brand or customer.

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Turn any hypothesis, however fringe, into an argument map rather than a verdict: five independent lenses (consensus, skeptic, frontier, historian, experimental design), then a synthesis of for and against, evidence quality, a confidence tier and the cheapest decisive experiment. Triggers: "/research-swarm <hypothesis>", "map the arguments on X".

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Send one research question to as many independent LLMs as possible at once, each in its strongest reasoning mode with proof of that mode, then synthesize. Floor of 3 models, quorum of 4; late answers are collected later. Use for high-stakes questions where one model's view is not enough. Triggers: /hyper, hyper research, ask every LLM, max fan-out research.

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- Investigator OPSEC — threat-model who might notice you, control your attribution surface across IP, ASN, browser and TLS fingerprint, timing and logged-in accounts, separate research identity from… Use when setting up a research account, avoiding tipping off a subject, worrying about LinkedIn profile-view leakage, needing a burner phone or email, or hardening a research VM or browser profile

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Researches what prompts people ask AI engines (ChatGPT, Gemini, Perplexity, Claude) about a product category and produces a prompts.csv artifact — a prioritized, strictly-schema'd list of the queries where the brand should be cited. Feeds the monitor workflow.

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- Build a sourced, corroborated profile of a named individual from public records, social platforms, professional networks, court and property filings, licensing boards, patents, papers and obituaries — anchoring the name to a… Use when asked to find, identify, background-check or profile a person, verify someone's claimed employment or credentials, or locate a missing or hard-to-reach individual

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ДР-ПОЛОСА — превратить наши дипресёрчи в 10 тизеров в день и разослать их по каналам лаборатории. Триггеры “/dr-teasers“, “/dr-lane“, “тизеры по ресёрчам“, “разошли дипресёрчи“, “10 тизеров“, “полоса дипресёрчей“, “post research teasers“, а также САМА ежедневная рутина “Claude DR Teasers Daily“

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Decision protocol for strategic work: recall the knowledge vault, run a gap analysis, emit a deep-research prompt for external tools, then synthesize the returned reports into a decision memo. Use before any new product, feature, market, pricing, GTM or architecture call, where local recall alone is not enough. Triggers: "/alfa-search-recall-deepresearch", "alpha protocol", "R+DR".

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Finds free backlink and brand mention opportunities across Hacker News, Quora, GitHub, directories, and niche communities. Outputs a prioritized action plan with draft responses ready to post. Use after brand research and content creation to amplify reach and AI engine citations.

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Remote-sensing literature search, citation verification, sensor/platform/dataset query strategy, citation file management (.ris/.bib/.enw conversion), and reference management (BibTeX, related articles, DOI/arXiv lookup) across CrossRef, arXiv, Scopus, ScienceDirect, Semantic Scholar, and domain web sources. Use when the user needs coordinated multi-step literature workflows for remote sensing, Earth observation, geospatial AI, GIScience, photogrammetry, SAR, hyperspectral imaging, LiDAR, satellite missions, benchmark datasets, land-cover mapping, change detection, object detection, segmentation, retrieval, or multimodal remote-sensing foundation models. Also trigger on general literature-search needs during academic writing even without the word "Nature", such as searching for papers/literature, doing a literature review, verifying a citation, converting citation files, and Chinese phrasings like 文献检索、查文献、找文献、 文献综述检索、查论文、引文核对、参考文献管理、文献去重.

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Build a complete but efficient Nature-style Chinese PPTX presentation from a remote-sensing, Earth-observation, geospatial AI, or broader scientific paper, preprint, PDF, article text, abstract, figure legends, or reading notes. Use this skill whenever the user asks to make slides/PPT/PPTX for journal club, group meeting, paper sharing, thesis seminar, lab meeting, department report, or academic presentation from a remote-sensing research paper. It identifies the paper type and argument, selects only the figures needed for the story, writes Chinese slide content and speaker notes, creates the actual .pptx deck, and runs an explicit self-review/corrective revision loop focused on figure quality, text overflow prevention, and non-template visual design before delivery. Also trigger on general academic-presentation requests even without the word "Nature", such as turning a paper into slides, building an academic talk deck, conference/defense presentations, and Chinese phrasings like 论文做PPT、遥感论文汇报、组会PPT、文献汇报、学术汇报、做幻灯片、讲paper、读书报告PPT.

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Synthesize user interviews, observations, surveys, support tickets, reviews, or feedback into traceable themes, insights, tensions, opportunities, and research gaps; use when evidence must inform product or design decisions.

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This skill should be used when the user asks about "Hyprland configuration", "hyprland.lua", "hyprland.conf", "Hyprland Lua config", "hyprctl", "Hyprland keybinds", "Hyprland window rules", "Hyprland monitors", "Hyprland dispatchers", "Hyprland animations", "Hyprland workspaces", "Hyprland IPC", "Hyprland plugins", "hyprlock", "hypridle", "hyprpaper", "hyprcursor", "hyprpicker", "hyprsunset", "xdg-desktop-portal-hyprland", "Hyprland on NixOS", "Hyprland Home Manager", "Hyprland layouts", "Hyprland dwindle", "Hyprland master layout", "Hyprland FAQ", "Hyprland performance", "Hyprland Nvidia", "Hyprland screen sharing", "Hyprland special workspace", "Hyprland smart gaps", "Hyprland multi-monitor", "Hyprland tearing", or any topic related to configuring, troubleshooting, or extending the Hyprland Wayland compositor and its ecosystem tools.

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既存製品・サービス分析コマンド

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Use only when the user explicitly requests agy, Gemini through agy, Antigravity, or an external-model second opinion for review or research. Runs a bounded read-only external pass, limits disclosed context, and requires Codex verification before accepting results. 中文触发：明确要求 agy、通过 agy 调用 Gemini、Antigravity、外部模型复核或外部第二意见。

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Use when evaluating, designing, drafting, revising, stress-testing, or preparing academic articles, empirical research reports, literature reviews, systematic reviews, meta-analyses, journal submissions, reviewer responses, research methods, sampling, measurement, analysis, publication readiness, or citation/source audits.

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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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キャリア設計のためのデプスインタビューを実施し、本人の価値観・強み・動機を引き出す。5 Whys、ラダリング法を用いてキャリアビジョンの明確化を支援する。転職相談、自己理解、キャリアカウンセリング、1on1面談の深掘りに使用する。Do NOT use for 製品・サービスのユーザーリサーチ（depth-interviewing-productを使用すること）。

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サービス開発のためのデプスインタビューを実施し、ユーザーの真のニーズ・課題・動機を引き出す。5 Whys、ラダリング法を用いてプロダクト開発に活かせるインサイトを発見する。ユーザーリサーチ、課題発見、ペルソナ構築、プロダクト仮説検証に使用する。Do NOT use for キャリア相談やキャリアカウンセリング（depth-interviewing-career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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