調査、論文、教育、資格学習（4,417 件）
Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.
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。
Conduct domain and industry research. Use when the user says wants to do domain research for a topic or industry
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。
Conduct technical research on technologies and architecture. Use when the user says they would like to do or produce a technical research report
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。
Conduct market research on competition and customers. Use when the user says they need market research
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。
Push the LLM to reconsider, refine, and improve its recent output. Use when user asks for deeper critique or mentions a known deeper critique method, e.g. socratic, first principles, pre-mortem, red team.
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。
Perform a post-implementation retrospective analysis measuring spec adherence, implementation deviations, and lessons learned.
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。
[Workflow] Research web sources and produce a cited, reviewed deliverable. --output={synthesis|business-eval|marketing|course}.
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。
[Research] Use when a workflow step or the user asks for web source discovery and triage into a source map and gaps. --chain=deep-dive also builds a cross-validated evidence base.
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。
[Architecture] Use when a workflow step or the user asks for tech-stack research: alternatives, trade-offs and user-validated recommendations.
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。
[Utilities] Use when teaching Claude a lesson that persists across sessions, including an extra rule for one skill or task kind (routes to project-skill-protocol).
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。
[Research] Use when a workflow step or the user asks for synthesis of existing evidence into a cited research report.
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。
[Research] Use when a workflow step or the user asks for knowledge artifact review: completeness, citation accuracy, confidence and template compliance.
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。
[Research] Use when a workflow step or the user asks for market analysis: competitors, TAM/SAM/SOM, trends, SWOT and customer segments.
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。
- Corporate due-diligence workflow — resolve a brand or website to its registered legal entity, map group structure and beneficial ownership, profile officers and directors, enumerate the digital estate, and screen litigation, insolvency,… Use when asked to check out, vet or research a company, verify a supplier or counterparty before signing or paying, or assess whether a business is real
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。
- Entry point for open-source intelligence, investigation and verification work. Use when asked to investigate, research, verify, vet, check out, look up, background-check, trace, attribute or find someone or something; when a request involves due diligence, KYC or KYB, counterparty or vendor risk, sanctions and PEP screening, AML, fraud, business email compromise
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。
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".
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。
Synthesize repeated themes from selected research conversations or notes.
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。
Researches Reddit using a brand's Brand DNA to find promotable pain-point discussions, target subreddits, and real user search language. Produces a prioritized Reddit opportunity list for content seeding, helpful replies, and prompt research inspiration.
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。
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.
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。
Turn a verified correction or repeated workflow into a reusable local learning.
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。
- 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
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。
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.
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。
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.
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。
- 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
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。