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概要と使いどころ
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.
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Search Reddit posts by meaning via the reddapi.dev 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。
Discover B2B leads from Reddit using AI-powered lead scoring via reddapi.dev Leads API. Finds high-intent signals, scores them 0-100, and classifies by lead type (pain_point, solution_request, complaint, feature_request, comparison). Perfect for competitor poaching, pain point discovery, and sales prospecting.
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Implement a repository code or configuration change through reproduction, focused checks, review, and evidence. Use for end-to-end features and fixes; not for explanation-only, review-only, research, content publishing, or production operations.
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Maintain a review-first Markdown knowledge base for Codex practices with source provenance, engineering capture, citation-aware queries, explicit archive and promotion, and deterministic linting. Use when asked to capture a durable engineering lesson, ingest Codex research, query or archive what the repository knows, check wiki health, reconcile conflicting guidance, or promote verified knowledge.
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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
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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.
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Prices research, tests, surveys, dashboards and experiments before running them, by computing how much the result would raise expected utility - which is zero whenever no outcome would change the decision. Use when someone proposes an A/B test, user survey, market study, competitor analysis, analytics build, consultant, pilot, or "let's gather more data", and when deciding how large a study needs to be.
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Investigate two separate areas of the codebase simultaneously and combine findings into a comparison report. Use when you need research on two independent topics at once, want to compare two subsystems, or need to understand how two components relate to each other.
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Expert-level biomedical imaging covering X-ray, CT, MRI, ultrasound, nuclear medicine, optical imaging, and image processing for clinical and research applications.
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Publish a proposal, offer, or pitch as a tracked link and report back whether it's getting read (view analytics after sending). Use when the user says "send the proposal", "did they open it", "track whether they read it", "share the offer". Not for recurring client reports (use client-reporter) or general research shares (use report-publisher).
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。
Turn research, analysis, or any markdown the agent just produced into a live, beautifully designed web report with a shareable tracked URL via ReportRoom. Use when the user says "publish this", "make this shareable", "turn this into a report", "put this on a page", or wants findings to live beyond the chat. Not for recurring client deliverables (use client-reporter), slide decks (use deck-publisher), or proposals that need view alerts (use proposal-tracker).
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Create and publish a recurring client-facing deliverable — SEO or analytics monthly, project status report, audit results — as a branded live page with view tracking. Use when the user says "client report", "monthly report for", "status update for the client", "send this to my client". Not for one-off research shares (use report-publisher) or proposals (use proposal-tracker).
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 compare how competing products implement a similar feature at the UX and interaction level. Provides structured comparison tables and strategic differentiation recommendations.
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Use when shaping a discovery slice — JTBD-framed interview guide, switch-event focus, verbatim quotes not summaries. Triggers on 'talk to users', 'why did they cancel', 'before we build X'.
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Autonomous multi-step investigation — deep research carried end-to-end without per-step approval; explicit request only, never for normal feature 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。
Multi-agent web research with cross-fact-checking and verified 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。
Combine independent work from two or more selected agents into one decision-ready research report, design, or proposal. Preserve useful complementary findings, develop stronger combined options, and present material alternatives only when they exist. Use when multiple perspectives should improve the product without forcing consensus or staging disagreement.
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Identifica leads de alta qualidade para seu produto ou serviço analisando seu negócio, pesquisando empresas-alvo e fornecendo estratégias de contato acionáveis. Perfeito para profissionais de vendas, desenvolvimento de negócios e marketing.
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Auxilia na redação de conteúdo de alta qualidade através de pesquisa, adição de citações, melhoria de ganchos, iteração em esquemas e feedback em tempo real de cada seção. Transforma seu processo de escrita de esforço solo em parceria colaborativa.
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。
Um Engenheiro de Pesquisa Acadêmica inabalável. Opera com rigor científico absoluto, crítica objetiva e zero floreios. Focado em correção teórica, verificação formal e implementação otimizada em qualquer tecnologia necessária.
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。
Escreva papers prontos para publicação em NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use quando estiver elaborando papers a partir de repositórios de pesquisa, estruturando argumentos, verificando citações ou preparando submissões finais. Inclui templates LaTeX, diretrizes de revisores e workflows de verificação de citações.
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。
Buscar automaticamente documentação atualizada de bibliotecas/frameworks para Claude Code via API Context7
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。