「arc」の検索結果

Legal research on a specific question — case law, statutes, regulatory guidance. Use when asked to "research this legal question", "what does case law say", or "find the relevant statute".

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 the system architecture — read the codebase, identify services and connections, output a C4-level architecture map as Mermaid diagrams with component descriptions. Use when asked to "map the architecture", "system diagram", "how does this work", or "architecture overview".

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。

Manages a Zotero academic reference library through both the local API (localhost:23119, read-only) and the Web API (api.zotero.org, read-write), using a structured collection hierarchy (Inbox / Active Projects / Background / Reading Queue / Archive / Meta) plus project, status, priority, and type tags. Handles adding papers with full metadata, deduplication, attaching provenance notes, moving items between collections, updating tags after reading, listing the prioritized reading queue, and setting up the literature scaffold for a new project. Use when the user asks to add / save / file / organize a paper in Zotero, check / list / clean up the reading queue, move papers between collections, tag papers for a project, query their library ("what do I have on X?"), or set up Zotero for a new research 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。

Use when implementing a Python feature, adding CLI commands, writing pytest suites, reviewing Python code, debugging, or refactoring. The primary Python engineering workflow orchestrator — classifies the task and delegates through this plugin's own specialist agents (architect → implement → test → review), sized to the task. Delegates to python-cli-architect (implementation), python-pytest-architect (tests), code-reviewer (review), python-cli-design-spec (architecture). Triggers on any Python task requiring specialist agent coordination or multi-agent execution.

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 community usage patterns, real-world gotchas, and client compatibility for a specific known library, tool, or protocol feature. Use when a technical-researcher orchestrator needs community-sourced evidence about a named library or feature — bug reports, workarounds, compatibility gaps, and patterns from issue trackers and discussions. Distinct from the broad ecosystem-researcher agent — this skill targets a KNOWN entity and mines what real users have actually experienced, not what exists in a domain.

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-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher 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 market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.

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。

Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.

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。

Run deep research on a single competitor. Produces a dossier with executive summary, position + messaging, status-quo alternatives, key differentiators, pricing position, where-they-win / where-they-lose, threat assessment, and what to watch. Writes to marketing/competitors/MMYY-{competitor-slug}.md. Triggers - "competitor research", "competitive analysis", "research competitor X", "battlecard prep", "analyze [competitor name]

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。

Medical/scientific paper writing workflow skill. Manages the full pipeline from literature search to submission-ready manuscript. Creates and manages a project directory with IMRAD-format section files, literature matrix, reference management, and quality checklists. Supports both English and Japanese papers. Triggers: 'write paper', 'paper-write', 'start manuscript', '論文を書く', '論文執筆', '論文プロジェクト', 'manuscript', 'research paper', '原稿作成'.

Skill Optimization: Auto Research. Autonomously optimize any Claude Code skill by running it repeatedly, scoring outputs against binary evals, mutating the prompt, and keeping improvements. Based on Karpathy's autoresearch methodology. Use when: optimize this skill, improve this skill, run autoresearch on, make this skill better, self-improve skill, benchmark skill, eval my skill, run evals on. Outputs: an improved SKILL.md, a results log, and a changelog of every mutation tried.

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。

Validate and improve GitHub Well-Architected Framework (WAF) documentation under the content/ folder for architectural correctness, decision quality, explicit trade-offs, and actionable guidance. Use this when reviewing pull requests, markdown files, or draft content in content/ to ensure recommendations are technically sound, context-aware, and guide readers toward correct architecture and design decisions.

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 install agent skills from the open ecosystem (skills.sh), optimized for Japanese users. Use when the user asks 'how do I do X', 'is there a skill for X', or in Japanese 「〜できる？」「〜のスキルある？」「スキルを探して」「〜を自動化したい」「〜を効率化したい」. Always converts Japanese intent into short English search keywords before searching (the registry matches English keywords only), and verifies skill quality and safety before recommending installation.

在 wiki/cbb/ 搜索可复用 Common Building Block（sync-fifo / 2ff-sync / clock-gate 等），返回匹配模板路径。bba-architect 在 MAS 中识别复用组件时调用。触发场景：(1) bba-architect 拆分子模块识别 CBB；(2) 显式 /bb-search-cbb。

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 the user says 'migrate thrive architect to gutenberg', 'convert thrive to blocks', or 'replace thrive architect with native wordpress'. Parses Thrive Architect content, maps elements to core blocks, and creates draft duplicates for 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。

Architecture design skill: ADR records, system design checklists, scalability assessment, architecture patterns. Use for complex system design and architecture decisions.

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 starting a new project. Genesis finds real production failures from similar GitHub repos, then builds a working MVP immediately - not just documents. Two modes: fast-mvp (5 min research cap, builds right after) and deep-research (full analysis). Success = user can run the project. Triggers on: "genesis init [vision]", "I want to build X", "scaffold", "new project", "set up project", "start building", "create a tool", "make a CLI", "bootstrap", "בנה פרויקט", "צור פרויקט", "התחל פרויקט".

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。

운영 중인 소상공인(가게·점포·자영업자)을 위한 지원사업 조사 스킬. 소상공인24·기업마당 공고를 전수 수집하고 가게 프로필(업종·지역·업력·직원수·매출)로 자격을 판정해 "오늘 신청할 것"부터 보고한다. 보조금·바우처, 정책자금(대출·보증), 교육·컨설팅 전 범위. 사용자가 "우리 가게 지원사업", "소상공인 지원금", "정책자금 알아봐줘", "가게 시설개선 지원", "사장님 지원 뭐 있어", "소상공인24 조사", "폐업/재기 지원" 등을 요청하면 이 스킬을 사용한다. 재조사("새로 나온 거 있나", "지난번 이후 뭐 올라왔나")는 diff 모드로 사용. 반대로 "우리 아이템", "창업지원", "예비창업", "K-Startup", "TIPS", "R&D 과제", "입주공간", "액셀러레이팅" 등 아이템·프로젝트 기반 창업지원 탐색은 이 스킬이 아니라 ir-search를 사용한다. 신호가 섞이면(예: "온라인 셀러 지원금") 어느 쪽인지 한 번 묻는다. 사용자 신분보다 요청 목적이 우선이다 — 가게 사장이라도 신규 기술 아이템 R&D를 찾으면 ir-search. 한국 전용.

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。

Reference patterns for search, optimization, and greedy algorithms. Covers binary search (classic and on-answer), two pointers, sliding window, greedy strategies, prefix sums, merge intervals, and monotonic stack. Use when solving problems that involve searching sorted data, optimizing over constraints, processing subarrays/substrings, or reducing range queries.

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。

Design or improve search experiences, result presentation, and filtering interfaces. Use when the user asks to add search, redesign search results, improve findability, build autocomplete, add filters, or fix zero-results dead ends.

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。

Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. Generative Engine Optimization (GEO) analysis including brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization. Use when user says "AI Overviews", "SGE", "GEO", "AI search", "LLM optimization", "Perplexity", "AI citations", "ChatGPT search", or "AI visibility".

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。

Decision matrix for selecting multi-agent topologies (Supervisor, Swarm, Hierarchical, Conductor) with token economics, failure modes, and escalation paths

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。

Multi-step autonomous research methodology for deep investigation tasks with structured synthesis

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 research with cross-verification and source tiering. Use when investigating technologies, comparing tools, fact-checking claims, evaluating architectures, or any task requiring verified information. Triggers on "조사해줘", "리서치", "research", "investigate", "fact-check", "비교 분석", "검증해줘".

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。