本文へ移動
cccskills

リサーチ・学習のスキル

調査、論文、教育、資格学習(4,135 件)

価格や並び順で絞り込む

概要と使いどころ

Agent Brain /brain-research: the decision depends on external evidence or unfamiliar domain context.

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。

rohitg00/agentbrain402026年5月27日 更新

Specialized research and analysis prompt methodology for Claude. Provides 11 tested approaches (3 identity, 4 reasoning, 4 output) for data analysis, policy research, systematic evidence review, investigative research, and research-specific deliverables. Use when building prompts for quantitative data interpretation, evidence-based policy recommendations, literature reviews, causal analysis, hypothesis-driven investigation, or briefing documents. Trigger on: "prompt for data analysis," "research prompt," "policy brief prompt," "literature review prompt," "prompt for investigating," "systematic review prompt," "build a prompt for evidence synthesis," "causal analysis prompt," "briefing document prompt." Also use when user describes a research or analytical task and needs a structured Claude prompt for it. Do NOT use for evaluating existing prompts (use rootnode-prompt-validation if available) or auditing Claude Projects (use rootnode-project-audit if available).

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。

drayline/rootnode-skills402026年9月14日 更新

为中文微信公众号文章分析内容并生成清晰易懂、真实 3D 毛毡质感且图文一体的头条长封面、1:1 分享页封面与正文配图,同时给出每张正文图应插在哪个原句之后。用于用户提供文章、Markdown 或正文,并要求“公众号封面”“分享封面”“方形封面”“毛毡配图”“文章插图”“为正文配图”“只做封面”“生成 N 张配图”“推荐配图数量”等任务;未提供文章标题时默认根据核心命题生成合适的封面文字,正文图未指定画幅时默认 16:9,也支持用户明确指定 4:3 或 3:4,并使用少量毛毡文字帮助单图理解;适配方法论、教程、专业干货、商业科技、情感叙事、个人成长、生活方式、教育与母婴等内容。

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。

sunyifeng11111/sun-felt-wechat-illustrator402026年7月25日 更新

Search the ClinicalTrials.gov registry through its version 2 REST API for interventional and observational studies, their phases, enrolment, endpoints, sponsors, and posted results. Use this skill to survey who is developing what against an indication, date a competitor's programme, read primary and secondary outcome measures, find eligibility criteria, and distinguish a study that completed from one that was terminated or withdrawn. Also trigger on ClinicalTrials.gov, NCT number, trial registry, study phase, enrolment, primary outcome measure, recruiting status, trial sponsor, or competitive landscape.

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。

K-Dense-AI/drug-discovery-agent-skills392026年10月12日 更新

Produce a truthful Japanese App Store metadata pack and app-name shortlist in twelve minutes without a multi-agent research round. Use for a live launch sprint, fallback ASO copy, app naming under a hard deadline, or when local product evidence is available but market research is intentionally deferred.

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。

sean-sunagaku/claude-code-plugin382026年7月30日 更新

team-plan

無料日本語概要

実装タスクを受け取ったとき、5つの専門エージェントチームでコードベースを調査・議論し、 AI 間の合意形成を経て Plan Mode で実装計画を作成する。 不明点はユーザーに質問し、完璧な計画を立ててから実装する。 バグ修正・新機能・リファクタリング・設定変更など、あらゆる実装タスクに対応。 Use when: 実装を始める前に調査が必要なとき、影響範囲が不明なとき、 複数ファイルにまたがる変更をするとき、慎重に計画を立ててから実装したいとき。 Triggers: "調査してから実装", "team plan", "まず調査", "影響範囲を調べて", "計画を立ててから", "plan before implement", "コードベースを調査して実装", "research first", "調査→計画→実装"

sean-sunagaku/claude-code-plugin382026年7月30日 更新

market-research

無料日本語概要

8つの専門エージェント(市場規模分析・トレンド調査・競合インテリジェンス・投資シグナル・日本市場・ユーザー需要分析・規制調査・データ検証)が ディスカッション型でアプリ/デジタルプロダクトの市場調査を実施するスキル。 エージェント同士が対話・批判し合い、data-critic がライブモデレーターとして矛盾を検出・収束を判定する。 トライアンギュレーション(データ・方法論・調査者・理論の4種類)をディスカッションに組み込み、 確証バイアスを排除した信頼度付きレポートを出力する。 Gate 1(全員参加の合意形成)→ Gate 2(最終検証 + Devil's Advocate)の2段階ゲートで品質を担保。 コンテキストファイルで過去のセッションを引き継げる。 Use when: 市場調査をしたい、TAM/SAM/SOMを算出したい、市場の成長性を調べたい、 参入タイミングを判断したい、競合市場を分析したい、規制リスクを調べたい。 Triggers: "市場調査", "market research", "TAM", "SAM", "SOM", "市場規模", "市場分析", "market analysis", "参入", "market entry", "市場性", "market viability", "市場トレンド", "market trend"

sean-sunagaku/claude-code-plugin382026年7月30日 更新

Navigate the Kabbalistic Tree of Life (Etz Chaim) — explore the ten sephirot, twenty-two paths, four worlds, and three pillars. Covers correspondences, contemplative exercises, and structural analysis. Use when exploring a sephira's attributes and divine names, studying structural relationships between sephirot, learning the four worlds (Atzilut through Assiah), tracing a path's Hebrew letter and tarot attributions, or using the Tree as a symbolic map for understanding a concept or system.

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。

pjt222/agent-almanac372026年10月15日 更新

Redact reverse-engineering findings for public disclosure while preserving methodology, generalizable patterns, and teaching value. Covers the private-vs-public repo split, deny-list pattern maintenance, orphan-commit publish pattern that prevents `git log` leaks, category-based redaction calibration (methodology/pattern/version-finding/internal), and the `check-redaction.sh`-style CI gate that blocks merges when a deny-listed pattern appears. Use when publishing findings about a CLI harness you don't own, when preparing upstream proposals to an unrelated project, or when archiving a private research repo for public reference.

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。

pjt222/agent-almanac372026年10月15日 更新

Conduct a peer review of research methodology, experimental design, and manuscript quality. Covers methodology evaluation, statistical appropriateness, reproducibility assessment, bias identification, and constructive feedback. Use when reviewing a manuscript, preprint, or internal research report, evaluating a research proposal or study protocol, assessing evidence quality behind a claim, or reviewing a thesis chapter or dissertation section.

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。

pjt222/agent-almanac372026年10月15日 更新

Build and analyze discrete or continuous Markov chains including transition matrix construction, state classification, stationary distribution computation, and mean first passage times. Use when modeling a memoryless system with observed transition counts or rates, computing long-run steady-state probabilities, determining expected hitting times or absorption probabilities, classifying states as transient or recurrent, or building a foundation for hidden Markov models or reinforcement learning MDPs.

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。

pjt222/agent-almanac372026年10月15日 更新

Handcraft paper from plant fibres — fibre harvesting, pulping, sheet forming with a mould and deckle, pressing, and drying. Covers fibre sources (cotton, kozo, abaca, recycled paper), beating methods, sizing, and decorative techniques. Use when making handmade paper for art, stationery, or bookbinding, when creating unique textured or embedded paper for special projects, or when learning traditional paper making as a craft practice.

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。

pjt222/agent-almanac372026年10月15日 更新

metal

無料

Extract the conceptual essence of a repository as skills, agents, and teams — the project's roles, procedures, and coordination patterns expressed as agentskills.io-standard definitions. Reads an arbitrary codebase and produces generalized definitions that capture WHAT the project does and WHO operates it, without replicating HOW it does it. Use when onboarding to a new codebase and wanting to understand its conceptual architecture, when bootstrapping an agentic system from an existing project, when studying a project's organizational DNA for cross-pollination, or when creating a skill/agent/team library inspired by a reference implementation.

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。

pjt222/agent-almanac372026年10月15日 更新

Guide a person in systematic observation of systems, patterns, or phenomena. AI coaches neutral attention, field notes methodology, pattern recognition, hypothesis formation, and structured reporting for debugging, research, and system understanding. Use when a person wants to understand a system's behavior before intervening, when someone keeps jumping to conclusions and needs the discipline of observation first, when preparing an evidence-based report, or when studying team dynamics or process effectiveness through direct observation.

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。

pjt222/agent-almanac372026年10月15日 更新

learn

無料

AI systematic knowledge acquisition from unfamiliar territory — deliberate model-building with feedback loops. Maps spaced repetition principles to AI reasoning: survey the territory, hypothesize structure, explore with probes, integrate findings, verify understanding, and consolidate for future retrieval. Use when encountering an unfamiliar codebase or domain, when a user asks about a topic requiring genuine investigation rather than recall, when multiple conflicting sources require building a coherent model, or when preparing to teach a topic and deep understanding is required first.

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。

pjt222/agent-almanac372026年10月15日 更新

Guide a person through structured learning of a new topic, technology, or skill. AI acts as learning coach — assessing current knowledge, designing a learning path, walking through material, testing understanding, adapting difficulty, and planning review sessions for retention. Use when a person wants to learn a new technology and does not know where to start, when someone feels overwhelmed by documentation, when a person keeps forgetting material and needs spaced repetition, or when transitioning between domains and needing a gap 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。

pjt222/agent-almanac372026年10月15日 更新

Identify insects using body plan analysis, dichotomous keys to order, wing venation, mouthpart type, antennae form, leg and tarsal structure, and confidence levels. Covers the fundamental hexapod body plan verification, a simplified dichotomous key to major orders, wing venation and type analysis, mouthpart classification, antennae morphology, leg specialization and tarsal formula, and a structured confidence assessment framework. Use when you need to identify an unknown insect beyond preliminary order placement, are working through a specimen for taxonomic study, want to distinguish between similar orders or families, or need to assign a confidence level to a field identification.

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。

pjt222/agent-almanac372026年10月15日 更新

Prepare herbal remedies from Hildegard von Bingen's Physica. Covers plant identification, preparation methods (tinctures, poultices, infusions, decoctions), dosage guidance, contraindications, and safety review based on 12th-century medieval pharmacopeia. Use when needing an herbal remedy for a specific ailment using Hildegardian pharmacopeia, seeking guidance on preparation methods and dosage, researching medieval herbal medicine, or integrating Hildegard's plant wisdom into holistic health practice.

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。

pjt222/agent-almanac372026年10月15日 更新

Format a Quarto or R Markdown report following APA 7th edition style. Covers apaquarto/papaja packages, title page, abstracts, citations, tables, figures, and reference formatting. Use when writing an academic paper in APA format, creating a psychology or social science research report, generating reproducible manuscripts with embedded analysis, or preparing a thesis or dissertation chapter.

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。

pjt222/agent-almanac372026年10月15日 更新

Format citations across academic styles (APA 7, Chicago, Vancouver, IEEE) using CSL processors and R tooling. Convert between citation styles, generate in-text citations and reference lists, and validate formatting against style guides using citeproc, knitcitations, and Quarto's built-in citation engine. Use when rendering a Quarto or R Markdown document with formatted citations, converting a bibliography between citation styles, generating a standalone reference list, or setting up citation infrastructure for a multi-document project.

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。

pjt222/agent-almanac372026年10月15日 更新

Evaluate and compare levitation mechanisms for a given application through a structured trade study. Covers magnetic (passive diamagnetic, active feedback, superconducting), acoustic (standing wave, phased array), aerodynamic (hovercraft, air bearings, Coanda effect), and electrostatic (Coulomb suspension, ion traps) mechanisms. Use when selecting the most appropriate levitation approach for transport, sample handling, display, bearings, or precision measurement applications.

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。

pjt222/agent-almanac372026年10月15日 更新

Derive a theoretical result step-by-step from first principles or established theorems, with every step explicitly justified and special cases checked. Use when deriving a formula or theorem from first principles, proving a mathematical statement by logical deduction, re-deriving a textbook result for verification or adaptation, extending a known result to a more general setting, or producing a self-contained derivation for a paper or thesis.

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。

pjt222/agent-almanac372026年10月15日 更新

Collect and preserve insect specimens following museum-grade standards including legal compliance, collection methods, humane dispatch, dry pinning, wet preservation, labeling, storage, and curation. Covers permit requirements, protected species regulations, sweep nets, beating trays, pitfall traps, light traps, Malaise traps, aspirators, ethyl acetate killing jars, freezing, pin placement by order, wing spreading, ethanol preservation for soft-bodied specimens, specimen labeling with locality and date, storage with pest management, and database entry. Use when building a reference collection for taxonomic study, preserving voucher specimens for ecological research, preparing specimens for identification by specialists, or curating an existing collection.

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。

pjt222/agent-almanac372026年10月15日 更新

Compose or analyze sacred music in Hildegard von Bingen's distinctive modal style. Covers modal selection, melodic contour (wide-range melodies), text-setting (syllabic and melismatic), neumatic notation, and liturgical context for antiphons, sequences, and responsories. Use when composing a new piece in Hildegardian style, analyzing an existing chant for structure and mode, researching medieval modal music, preparing to perform or teach Hildegard's music, or setting Latin sacred texts.

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。

pjt222/agent-almanac372026年10月15日 更新