조사, 논문, 교육, 자격증 공부 (4.3천건)
AID Memory System for session feedback, learning cycles, and skill improvement. Manages state, feedback collection, and improvement analysis. Load for /aid-init, /aid-start, /aid-status, /aid-end, /aid-improve, /aid-memory, /aid-reset.
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AID Phase 0 - Research & discovery. Use for validating problem spaces, identifying stakeholders, defining success metrics, deciding whether to proceed.
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Pre-PRD Research methodology combining Business Analysis, Creative Problem-Solving, Brainstorming, and Innovation Strategy. Use before writing any PRD for problem validation, market research, competitive analysis, stakeholder interviews, ideation, root cause analysis.
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Decision transparency, feedback collection, and debate invitations for AID methodology. Active in ALL phases for ALL roles.
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Create, revise, and validate publication-ready academic paper figures and tables. Use for LaTeX tables, related-work comparison tables, result tables, notation/dataset/taxonomy tables, precise source-data-driven experiment plots from CSV/JSON/logs, generated conceptual figures such as system overviews/pipelines/architectures/threat models, captions, artifact specs, source-data traceability, and paper-ready PDF/SVG/PNG/LaTeX exports. Do not use for prose-only paper writing, self-review, reviewer response, rebuttal drafting, or external literature-management workflows.
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Draft and revise evidence-grounded academic manuscripts with adaptable author preferences. Use for section writing, implementing structural edits, claim calibration, citation-integrated prose, prose cleanup, standalone review excerpts, and LaTeX template migration. Use paper-review for critique or author responses, and paper-figures-tables for final visual artifacts.
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Review an author's manuscript, its argument and paragraph structure, analyze reviewer comments, draft rebuttals, and verify revisions. Use for self-review, structural edit plans, simulated reviewer objections, author responses, revision closure, and submission-readiness assessment. Formal assigned peer review is outside this skill; manuscript edits and final figures/tables use their owning skills.
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Resolve, validate, and audit manuscript integrity and applicable requirements for academic manuscripts and paper artifacts. Use when Codex needs to determine active paper rules from manuscript state, paper type, venue, submission stage, or workflow mode; lint a LaTeX paper project; assess submission readiness; create or update a paper policy profile; explain why a rule is active; or validate the paper-policy registries. Do not use as the primary skill for prose drafting, peer review, rebuttal writing, citation discovery, or figure/table creation.
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This skill should be used when creating RFQ (Request for Quotation) documents for software development projects to send to vendors. Use this skill when you have received vague requirements from clients and need to structure them into clear, comprehensive RFQs that enable vendors to provide accurate estimates. Supports Japanese (default) and English, with systematic requirements elicitation, clarification, and markdown-formatted output.
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特許分析・知的財産戦略支援スキル。先行技術調査、特許性評価、特許ポートフォリオ分析、 侵害リスク評価、ライセンス戦略策定を支援。特許出願戦略の立案から権利化まで包括的にサポート。 Use when conducting prior art searches, evaluating patentability, analyzing patent portfolios, assessing infringement risks, or developing IP strategies. Triggers: "patent search", "prior art", "特許調査", "patentability", "FTO", "特許ポートフォリオ", "IP strategy", "patent landscape".
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Fableクラスの思考プロセスを任意のモデルで再現する思考スキャフォールド。問いの再構築、 前提の検証、選択肢空間の展開、反証、確信度つきの収束という順序をフェーズとゲートで強制する。 設計判断・技術選定・調査・分析・提案など、結論を間違えるコストが高い非自明なタスクで使用。 「深く考えて」「幅広い視野で」「多角的に検討して」「Fableのように考えて」がトリガー。 Use when asked to think deeply, consider all angles, or for high-stakes decisions and analyses.
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競合分析・市場調査の専門スキル。競合企業のプロファイリング、Win/Loss分析、営業用バトルカード作成、市場ポジショニング分析、価格比較、技術比較マトリクス作成を支援。「競合分析」「バトルカード作成」「Win/Loss分析」「競合比較」「価格比較」「技術比較」などのリクエスト時に使用。
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Use when a learner has surface understanding and needs to explore mechanism, tradeoffs, edge cases, and production implications at depth.
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Use when structuring a multi-session learning roadmap with milestones, gates, and pacing calibrated to learner level and goal.
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Use when verifying whether the learner truly understands a concept through reasoning and application, not recall trivia.
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Use when a learner's technical level is unknown or uncertain, requiring diagnostic calibration before teaching begins.
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Use when capturing or restoring a learner's persistent profile to personalize teaching across sessions.
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Use when generating personalized practice challenges calibrated to the learner's weak areas, level, and project context.
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Use when explaining a technical concept and adapting depth, pacing, and examples to the learner's readiness.
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Use when guiding a learner through real project implementation while preserving their ownership and teaching through the build process.
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Use when the learner benefits from guided questioning to build reasoning and uncover misconceptions before receiving direct answers.
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Use when a concept is too abstract for the learner's current level and needs analogy-first teaching before complexity re-injection.
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Use when a learner asks to learn from a repository and the agent must map curriculum structure and prerequisites before teaching.
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Use when logging, scoring, and triaging a learner's persistent weak areas to drive intervention selection.
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