調査、論文、教育、資格学習（4,143 件）
概要と使いどころ
When the user wants to create step-by-step technical tutorials, quickstarts, or code walkthroughs. Trigger phrases include "tutorial," "quickstart," "getting started guide," "walkthrough," "step by step," "how to guide," "hands-on guide," or "code tutorial."
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。
Draft a Workflow Phase 1 intake document capturing a new request — the problem, the desired outcome, constraints, and testable acceptance criteria. Use when a user brings a new feature, change, or investigation that doesn't yet have a spec. The output lives at `docs/intake/<slug>.md` and feeds `/scout`, `/research`, and `/spec` downstream.
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 Phase 3 — Research and Solution Exploration. Surfaces 2–4 candidate solution approaches with concrete tradeoffs, grounded in current library docs (fetched through the provider named in `.claude/docs-provider.json`) — never in training-data recall. Output lives at `docs/research/<slug>.md`. Candidate ranking and the memo execute in main context; doc/source gathering MAY be delegated to read-only advisory subagents (seed.md §4.2-A).
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。
DSPy: declarative LM programs, auto-optimize prompts, RAG.
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。
Extract data from websites, including JavaScript-rendered SPAs and dynamic content
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 arXiv papers by keyword, author, category, or ID.
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。
Query Polymarket: markets, prices, orderbooks, history.
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。
Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.
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。
Analyze credential pooling operations and API reseller business models — economics, risks, detection patterns, and sustainability
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。
Write ML papers for NeurIPS/ICML/ICLR: design→submit.
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。
Discover and analyze trending GitHub repositories from TrendShift and other sources — evaluate usefulness, extract learnings, and identify valuable skills/tools
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。
Deep-dive framework for analyzing crypto tokens — market data, liquidity health, tokenomics, unlock schedules, and risk assessment. Combines on-chain data, API queries, and multi-source validation to generate actionable investment verdicts.
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。
Analyze NFT projects for investment decisions — evaluate fundamentals, identify red flags, assess risk, and provide buy/hold/avoid 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。
Autonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use when: user wants to optimize code speed, reduce bundle/image size, improve test pass rate, optimize prompts, improve content quality (headlines, copy, CTR), or run any measurable improvement loop. Requires: a target file, an evaluation command that outputs a metric, and a git repo.
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。
Analyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor.
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。
Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
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。
End-of-week reflection report. Mines your Claude Code transcripts from the last 7 days to produce a self-contained HTML file with (1) the topics/areas you explored, (2) distilled key learnings with live-searched further-reading links, and (3) a token/command/skill/ctx-stack usage summary. Use when the user says "week in review", "weekly review", "what did I learn this week", "my week", or runs /week-in-review.
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。
Forces every code-related claim to include file:line citations. No citation means the claim must be verified or removed. Use when building documentation, writing code reviews, or any output that others will rely 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。
Normalize and screen scattered foreign-trade leads into a conservative, structured lead pool that can flow into customer-intel research. Use when an operator has company names, websites, emails, or contact clues from search results and needs a standardized output with missing-field warnings, review flags, next-step suggestions, and customer-intel-ready JSON.
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 bilingual, evidence-backed, SIEGER v2 customer intelligence reports for foreign-trade leads. Use when OpenClaw or a sales operator needs claim-level citations, decision gates, an industry-specific analysis lens, a non-fabricated verdict card, and sales angles that require approval before downstream outreach drafting.
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。
Do market research, user research, and product validation on Reddit with semantic search across 50K+ subreddits, 20M+ posts, and 40M+ comments via reddapi.dev - search by meaning, not keywords, no Reddit OAuth or app registration needed. Use when the user wants to research what people say on Reddit, find user pain points and complaints, validate a product or niche idea, do competitor and market research, track subreddit trends over a date range, or discover which subreddits discuss a topic. Also use when the user mentions 'Reddit research', 'Reddit 调研', 'search Reddit', 'subreddit discovery', 'niche validation', 'pain points', 'user complaints', or 'Reddit trends'. Requires REDDAPI_API_KEY. For B2B lead scoring, see reddit-leads; for a bare API reference, see reddit-search-api.
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 portfolios using Devsync template with automated CV, GitHub, LinkedIn, and academics generation
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 for creating and managing slash commands in Claude Code. Use when (1) creating new slash commands, (2) learning command syntax and features, (3) deciding between commands vs skills, (4) implementing advanced command features (arguments, hooks, bash execution), or (5) organizing and managing command libraries.
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。
学术论文图表生成与设计。输入是实验数据（CSV/表格）、图表草稿、论文方法描述、中文图/表说明、想生成的图形摘要（GA）、或想画流程图时使用。功能包括：matplotlib 绘图（plot）、图表类型推荐（recommend）、英文图/表标题生成（caption）、论文架构图 prompt 生成（architecture）、图形摘要 prompt 生成（abstract）、流程图 prompt 生成（flowchart）、图表规范检查（polish）、概念图/示意图设计（design）。架构图模板覆盖 6 类场景，流程图覆盖 6 类（线性 / 分支 / 并行 / 循环 / 嵌套 / 泳道），图形摘要覆盖 5 类。内置 prompt 工程词汇表与参数化语法。不适用于：正文段落润色（用 academic-writing）、参考文献格式（用 academic-citation）。
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。