調査、論文、教育、資格学習（4,125 件）
概要と使いどころ
Run competitive research like an intelligence agency: eight collection disciplines (OSINT to MASINT), signal-to-inference chains, and fusion. Use when one-source research isn't enough.
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。
Plan customer discovery interviews with the right goal, segment, constraints, and method. Use when preparing interviews for problem validation, churn research, or new product ideas.
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。
Map a market's segments, players, substitutes, and whitespace with cited evidence. Use when entering or re-evaluating a market before sizing, positioning, or picking competitors to study.
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。
Create a company research brief with executive quotes, product strategy, and org context. Use when preparing for interviews, competitive analysis, partnerships, or market-entry work.
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。
Triage a competitive or market question into the right intelligence disciplines, cadence, and executing skill. Use when you know something needs researching but not which channel to run.
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 and draft a competitive battle card from public evidence — every claim labeled and sourced. Use when a rep needs a field-action card, not a 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。
Runs a six-phase research workflow from source bundle to publish-ready output. Use when researching an unfamiliar domain or compiling materials into one reference. Not for quick lookups or single-file reads.
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。
Facilitates deliberate skill development during AI-assisted coding. Offers interactive learning exercises after architectural work (new files, schema changes, refactors). Use when completing features, making design decisions, or when user asks to understand code better. Triggers on "learning exercise", "help me understand", "teach me", "why does this work", or after creating new files/modules. Do NOT use for urgent debugging, quick fixes, or when user says "just ship it".
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。
Autonomous senior-operator mode for AI agents that resolve tasks end to end without babysitting and never create new problems. The agent verifies every claim against real evidence (web search dated to the current month and year, the codebase, and available tools, MCPs, and CLIs); it never guesses, never fakes confidence, and never claims something is done without proof. It stays silent and keeps working, interrupting the user only on three stops, namely a destructive or irreversible action, a dead-end with no evidence after exhausting sources, or genuine ambiguity that changes the outcome. Output is short, literal, and human. Use when the user says "not-your-babysitter", "nanny mode", "work autonomously", "stop babysitting", or "no hand-holding", or wants an agent that solves problems on its own, especially hands-on engineering and operational tasks. Do not use when the user explicitly wants a tutorial, a verbose walkthrough, or open-ended brainstorming.
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。
Search and summarize material from the Acme research service.
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。
Let the OpenCode host delegate code review, development, and research tasks to DeepSeek Harness.
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。
Use Jev to select among available tools, skills or agents, or evaluate outputs against explicit rubrics. Use when the user requests Jev or a bounded decision would help; not for open-ended writing or 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。
Resolve the correct library and retrieve a small, relevant set of version-aware official documentation before answering a technical question.
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 paper sheet in Three.js that reads as paper up close — washi, cotton rag or kraft with baked fibre and tooth relief, laid and chain lines, a torn deckle edge with frayed fibres, four-layer thickness, a rolled corner and crease, ink that wicks along the fibres, toasted aged edges, contact shadows and back-lit translucency. Use for a hung sheet, scroll, page, label, shoji pane or card that must survive a macro close-up, or when paper looks like a flat white plane, has ruler-straight edges, no thickness, or does not glow when lit from behind. Use 3d-wood-material, 3d-cloth-material or 3d-metal-material for those materials, and paper-cinder-transition for burning paper.
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。
Token deep dive — info, OHLCV, holders, flows, flow intelligence, who bought/sold, DEX trades, PnL, perp trades, perp positions, perp PnL leaderboard. Use when researching a specific token in depth.
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。
Onchain OS onboarding & guide hub — the single entry for first-time, 'what is this / how do I use it', OKX.AI, and customer-support intents; classifies the intent and routes to the right sub-flow via its Intent Routing table. Covers: (1) Onchain OS onboarding + welcome banner — 'what is onchainos', 'what is onchain os', 'what can it do', 'what can onchainos do', 'what does onchainos do', 'how do I use this', 'how do I play', 'how to use onchainos', 'how to play onchainos', 'how does onchainos work', 'how do I start', 'getting started', 'tutorial', 'onboarding', 'first time', 'I just installed', 'now what', 'what do I do now', 'where do I start', 'who are you', 'what are you', 'introduce onchainos', 'tell me about onchainos', 'I'm new'; (2) OKX.AI intro & role-registration routing (the Agent economic system — roles User / ASP / Evaluator) — 'what is OKX.AI', 'OKX.AI 是什么', 'how to use OKX.AI', 'OKX.AI 快速开始', and any spelling / spacing / casing / typo variant (OKXAI, okx ai, okx-ai, lowercase okx.ai, 啥是okxai); (3) customer support / Help Center — 'contact support', 'talk to a human', 'customer service', 'file a complaint', 'give feedback', 'report a bug / system error', 'help center', 'FAQ', 'user guide', 'something is broken'. NOT for: direct on-chain actions (swap / wallet / balance / token) or Agent task lifecycle (publish / accept / deliver / dispute) — those have their own skills.
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。
Autonomous iteration loop: modify, verify, keep/discard against any metric
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。
Operation-aware node configuration guidance. Use when configuring nodes, understanding property dependencies, determining required fields, choosing between get_node detail levels, or learning common configuration patterns by node type. Always use this skill when setting up node parameters — it explains which fields are required for each operation, how displayOptions control field visibility, and when to use patchNodeField for surgical edits vs full node updates.
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。
Guide the agent to recall, remember, and route durable learning into Memory, Skills, Scheduled Tasks, or Tape.
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。
Use Nowledge Mem for cross-tool startup context, recall of prior decisions, durable learnings, explicit conversation saving, and connection diagnosis. Use only the connection selected for this DeepChat agent or session.
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。
Use when a LoopX worker is operating an auto-research lane, demo pane, frontier item, evidence packet, promotion/retirement decision, or visible tmux/Codex auto-research rehearsal. Identity must come from the LoopX role profile and quota/frontier packet; this skill only provides role-specific execution checklists, artifact contracts, and stop conditions.
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。
Interactive tutorial teaching Ouroboros hands-on
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。
Delegate threat-intelligence research and updates to AgentSec, then validate the guide and landing mirrors.
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。
Performs git archaeology, changelog analysis, and builds a verified factual timeline by cross-referencing git history with source material. REX mode only (skipped automatically in Concept mode). Use when building a REX talk and you need verified commit metrics, release timelines, and contributor data from a git repository.
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。