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「research」の検索結果

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概要と使いどころ

Dung khi can nghien cuu tep truoc khi chay ads — interest va behavior mapping, do rong tep, phan tang cold/warm/hot, va gia thuyet targeting de test. Kich hoat khi user nhac 'nghien cuu audience', 'tep target', 'nham ai', 'interest targeting', 'chon tep chay ads', 'lookalike tu dau'. Khong dung cho — hieu tam ly va ngon ngu khach hang thi dung skill 09-insight-khach-hang; phan bo ngan sach cho tung tep thi dung skill 54-media-plan.

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。

minhnv0807/ai-business-skills6192026年9月12日 更新

Dung khi can biet doi thu dang lam gi va minh dang dung o dau — phan tich 3 tang doi thu truc tiep, gian tiep, thay the; ban do dinh vi, SWOT, benchmark content va gia, khoang trong thi truong con bo trong. Kich hoat khi user nhac 'nghien cuu doi thu', 'phan tich canh tranh', 'doi thu dang chay gi', 'competitive analysis', 'sao doi thu ban re hon minh', 'doi thu moi noi', 'minh thua doi thu cho nao', 'benchmark thi truong'. Dung ca khi user chi gui link fanpage hoac website doi thu va hoi 'xem giup ho dang lam gi'. Khong dung cho — chot dinh vi cho chinh minh thi dung skill 58-positioning; theo doi lien tuc thao luan mang xa hoi thi dung skill 15-social-listening; nghien cuu tep de chay ads thi dung skill 51-audience-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。

minhnv0807/ai-business-skills6192026年9月12日 更新

Use when starting work on a new product, client, or market — this skill creates the file `.agents/product-marketing-context-global.md` that 60+ other global skills read before they write anything: product, ICP, positioning, proof, objections, brand voice, pricing, and KPIs, with a region variant for US, EU, SEA, or LATAM. Run once, reuse forever. Trigger on 'set up marketing context', 'new client setup', 'onboard a new product', 'the AI does not know my product', 'US marketing context', 'EU GDPR setup', 'SEA market context', 'LATAM setup'. Also use when the user complains every answer comes back generic because nothing about the business was ever provided. Not for — a personal brand belonging to a founder, coach, or creator, see `22-personal-brand-context-global`; deep persona and JTBD research, see `09-customer-insight-global`; the period plan itself, see `00-marketing-plan-global`.

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。

minhnv0807/ai-business-skills6192026年9月12日 更新

Dung khi can hieu khach hang du sau de viet duoc content va chon duoc tep — persona 3 tang, cau noi noi tam, pain map, objection list va ngan hang ngon ngu khach hang lay tu review va inbox that. Kich hoat khi user nhac 'insight khach hang', 'chan dung khach hang', 'customer persona', 'khach hang cua toi la ai', 'khach nghi gi', 'ho mua vi ly do gi'. Khong dung cho — thu thap thong tin khi agency nhan khach moi thi dung skill 20-brief-client-intake; nghien cuu tep de chay ads thi dung skill 51-audience-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。

minhnv0807/ai-business-skills6192026年9月12日 更新

Use when the user wants to monitor what is being said about the brand, competitors, and the category — channels and keywords to track, sentiment scoring, weekly and monthly listening reports, brand health metrics, early crisis detection, and content opportunities pulled from real conversations. Trigger on 'social listening', 'brand monitoring', 'sentiment analysis', 'what are people saying about us', 'track our mentions', 'monitor competitors online'. Also use when the user spotted a bad comment thread and wants to know if it is spreading. Not for — responding to a crisis already underway, see `66-crisis-playbook-global`; competitor strategy teardown, see `08-competitor-research-global`; auditing your own posts, see `39-content-audit-global`.

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。

minhnv0807/ai-business-skills6192026年9月12日 更新

Use when warm audiences need a plan — retargeting tiers by intent and recency, a different message per tier, frequency caps, attribution windows, lookalike seeds, exclusion rules, and a first-party data base that survives iOS ATT and cookie deprecation. Trigger on 'retargeting', 'remarketing', 'warm audience', 'custom audience setup', 'retarget cart abandoners', 'my retargeting pool is too small'. Also use when the user says people visit once and never come back. Not for — cold prospecting audiences, see `51-audience-research-global`; the pixel and events that feed these audiences, see `53-tracking-setup-global`; email win-back flows, see `14-email-marketing-global`; raising budgets, see `55-scaling-ads-global`.

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。

minhnv0807/ai-business-skills6192026年9月12日 更新

Scaffolds a structured investigation in scratch/ for empirical research and documentation. Use when the user says "start an investigation" or wants to: trace code paths or data flow ("trace from X to Y", "what touches X", "follow the wiring"), document system architecture comprehensively ("document how the system works", "archeology"), investigate bugs ("figure out why X happens"), explore technical feasibility ("can we do X?"), or explore design options ("explore the API", "gather context", "design alternatives"). Creates dated folder with README. NOT for simple code questions or single-file searches.

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。

talmolab/sleap6182026年10月13日 更新

handoff

無料

Phase 3 of the prd-taskmaster pipeline: smart mode selection and user handoff. Detects installed capabilities (superpowers, ralph-loop, task-master-ai, playwright, research providers), recommends ONE execution mode (A/B/C) with reasoned justification, appends the task-execution workflow to CLAUDE.md, surfaces a structured AskUserQuestion multi-option picker for user agency, and dispatches the chosen mode. Mode D (Atlas Fleet) is selectable only when detect_capabilities returns tier=premium (licensed atlas-launcher detected); otherwise it is a locked Atlas Pro teaser. Plan Mode is NOT used (spec section 13.5): AskUserQuestion is the sole user-agency mechanism. Declares HANDOFF complete so EXECUTE can follow.

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。

anombyte93/prd-taskmaster6072026年8月14日 更新

Collect Amazon.com written product reviews at scale through Woot's public review AJAX route, retain every attempt and error log, reconcile partial runs, and normalize exact review text into auditable JSONL. Use for VOC, competitor review mining, low-star complaint analysis, listing research, or batch ASIN review acquisition without Amazon credentials. Amazon data layer of the bggg VOC suite (shared project folder; orchestrated by industry-orchestrator, reported by bggg-voc-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。

binggandata/bggg-skills6062026年8月13日 更新

Collect auditable public X/Twitter posts by controlling the user's already logged-in Chrome, searching X's rendered web interface, scrolling visible results, and extracting original post text and metadata from DOM into normalized JSONL. Use for VOC research, social listening, multilingual keyword discovery, competitor monitoring, or historical search when X requires the user's browser session and cookies, credentials, internal GraphQL, paid APIs, or search-engine snippets must not be exported or used. X data layer of the bggg VOC suite (shared project folder; orchestrated by industry-orchestrator, reported by bggg-voc-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。

binggandata/bggg-skills6062026年8月13日 更新

Collect auditable Reddit search results and full comment trees at scale, preserve the source JSON, and normalize posts and comments into analysis-ready JSONL. Use for VOC, market research, community discovery, keyword snowballing, or any task that needs Reddit post and comment text without inventing unavailable fields. Reddit data layer of the bggg VOC suite (shared project folder; orchestrated by industry-orchestrator, reported by bggg-voc-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。

binggandata/bggg-skills6062026年8月13日 更新

Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.

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。

ECNU-ICALK/AutoSkill6022026年5月10日 更新

End-to-end academic paper writing workflow. Takes a research repository and produces a publication-ready LaTeX manuscript for top ML/AI conferences (NeurIPS, ICML, ICLR, ACL, AAAI, COLM). Covers repo understanding, structure planning, section drafting, citation management, anti-AI polishing, and conference formatting. Triggers on "write paper", "draft paper", "scholar writing", "paper writing 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。

catlog22/maestro-flow5662026年10月15日 更新

Systematic experimental results analysis workflow for ML/AI research papers. Connects experimental data to publication-ready Results sections with statistical validation, visualizations, and quality checks. Triggers on "analyze experimental results", "generate results section", "statistical analysis of experiments", "compare model performance", "create results visualization".

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。

catlog22/maestro-flow5662026年10月15日 更新

Self-improving loop for plugin skills. Reads program.md, proposes one mutation per iteration, evaluates against deterministic scorer, keeps improvements via git, reverts failures. Targets weakest skill+dimension. Use with /loop for overnight runs.

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。

oliver-kriska/claude-elixir-phoenix5662026年10月16日 更新

Guide plugin development workflow — editing skills, agents, hooks, or eval framework in this repo. Use when modifying files in plugins/elixir-phoenix/, lab/eval/, or lab/autoresearch/. Ensures changes pass eval, lint, and tests before committing.

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。

oliver-kriska/claude-elixir-phoenix5662026年10月16日 更新

Searches and retrieves documents from free public sources using automated browser navigation. Use when research needs primary source documents like court filings, government reports, or public records.

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。

bitwize-music-studio/claude-ai-music-skills5612026年10月15日 更新

This skill should be used when the user asks to "build a feature", "create a spec", "start spec-driven development", "run research phase", "generate requirements", "create design", "plan tasks", "implement spec", "check spec status", "triage a feature", "create an epic", "decompose a large feature", or needs guidance on spec-driven development workflow, phase ordering, or epic orchestration.

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。

tzachbon/smart-ralph5592026年9月16日 更新

This skill should be used when generating spec artifacts (research.md, requirements.md, design.md, tasks.md), formatting agent output, structuring phase results, or when any Ralph agent needs guidance on concise, scannable output formatting. Applies to all Ralph spec phase agents.

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。

tzachbon/smart-ralph5592026年9月16日 更新

Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. Use when the user shares a Hugging Face paper page URL, an arXiv URL or ID, or asks to summarize, explain, or analyze an AI research 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。

waybarrios/opencode-power-pack5392026年10月12日 更新

Pre-search topic resolution. Maps vague queries to concrete entities (GitHub orgs, X handles, subreddits, docs URLs) before searching. Run as first step of any research workflow to dramatically improve search precision.

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。

vibeeval/vibecosystem5362026年8月9日 更新

Analyze repository structure, patterns, conventions, and documentation for understanding a new codebase

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。

vibeeval/vibecosystem5362026年8月9日 更新

research

無料

Document codebase as-is with thoughts directory for historical context

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。

vibeeval/vibecosystem5362026年8月9日 更新

prove

無料

Formal theorem proving with research, testing, and verification phases

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。

vibeeval/vibecosystem5362026年8月9日 更新