「arc」の検索結果

Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.

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。

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.

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 a topic across the web, GitHub, and X/Twitter with DeepAPI and produce a concise Markdown report. Use for varied-search or requests to compare web coverage, relevant repositories, and social discussion.

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 wants to validate a product idea, find pain points, mine demand signals, discover objections, or gather voice-of-customer language from Reddit, social posts, video transcripts, and comments. Produces evidence-backed product 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。

Use when the user wants to research competitors' social media strategy, compare brands or creators, find what content is working in a niche, identify content gaps, or produce a practical social strategy brief from public social data.

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。

Privacy-respecting metasearch using your local SearXNG instance. Search the web, images, news, and more without external API dependencies.

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。

Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use hypothesis-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。

Query and operate connected Google Search Console properties through NotFair MCP. Use for live GSC query or page performance, clicks, impressions, CTR, position, traffic changes, indexing status, URL inspection, sitemap reads or approved sitemap submission/removal, and Search Console MCP setup. Route full-site SEO audits to seo-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。

Generative Engine Optimization (GEO) — make content rank in AI search answers from ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. Audits existing content, rewrites for AI citation, and produces per-engine strategy. Use when asked to "optimize for AI search", "rank in ChatGPT", "GEO audit", "improve AI citations", "rank in Perplexity", "AI Overview optimization", "AI Overview ranking", "LLM SEO", "answer engine optimization", "AEO", "get cited by AI", "GEO", "generative engine optimization", "show up in ChatGPT", "appear in AI answers", "be cited by Perplexity", "SGE optimization", "Search Generative Experience", or "make my content show up in AI answers". Distinct from regular SEO — this targets generative engines, not traditional Google rankings.

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。

Semantic search across codebase using LEANN vector index

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。

OPC Architecture Understanding

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。

Choose the right search tool for each query type

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。

External research workflow for docs, web, APIs - NOT codebase exploration

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。

Fast codebase search via WarpGrep (20x faster than grep)

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。

Router-First Architecture

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 agent for external documentation, best practices, and library APIs via MCP 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。

Search Mathlib for lemmas by type signature pattern

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 GitHub code, repositories, issues, and PRs via MCP

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。

Meta-skill for internal codebase exploration at varying depths (quick/deep/architecture)

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。

Recover deleted GitHub content using the Wayback Machine and Archive.org APIs. Use when repositories, files, issues, PRs, or wiki pages have been deleted from GitHub but may persist in web archives. Covers CDX API queries, URL patterns, and systematic recovery workflows.

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。

Investigate GitHub security incidents using tamper-proof GitHub Archive data via BigQuery. Use when verifying repository activity claims, recovering deleted PRs/branches/tags/repos, attributing actions to actors, or reconstructing attack timelines. Provides immutable forensic evidence of all public GitHub events since 2011.

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。

Codex-only team orchestration: run a named team of cooperating Codex workers with durable, script-managed state. MUST USE when the user asks Codex to create, run, coordinate, inspect, archive, or delete a team of agents/threads/sessions, or to work on something as a team in parallel. FIRST inspects the active tool surface (checking tool_search for deferred tools) and tells the user the route: native MultiAgentV2 agents (flat spawn_agent with task_name) when available, Codex App threads as the fallback, or a plain-subagent split when neither set exists. The main session is always the leader; members are defined by a concrete part, ownership area, or perspective - never a vague job role; a bundled cross-platform script writes the .omo/teams state plus an auto-generated member field manual. Use a team when the work is not perfectly isolated but parallelizing helps; use plain subagents when scope is perfectly isolated or the goal is ambiguous. Triggers: team mode, teammode, make a team, run as a team, team of agents, coordinate threads, parallel Codex threads, archive the 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。

Use this skill when the user wants to search the web without a full browser session: find URLs, titles, and metadata for a query. Prefer it over a browser when you just need search results, not page content. Returns structured results with titles, URLs, authors, and dates.

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。

Event prospecting skill. Takes a conference / event speakers URL, extracts the people, filters their companies against the user's ICP, then deep-researches only the speakers at ICP-fit companies. Outputs a person-first HTML report where each card answers "why should the AE talk to this person?" with all public links and a one-click DM opener. Use when the user wants to: (1) find leads at a specific conference, (2) prep for an event, (3) research event speakers, (4) build a target list from a sponsor/exhibitor page, (5) scrape conference speakers and rank by ICP fit. Triggers: "find leads at {event}", "research speakers at", "prospect this conference", "stripe sessions leads", "ai engineer summit prospects", "event prospecting", "scrape conference speakers", "who should I meet at".

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。