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Research a prospect then draft personalized outreach. Uses web research by default, supercharged with enrichment and CRM. Trigger with "draft outreach to [person/company]", "write cold email to [prospect]", "reach out to [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。

"Apply action research through Plan-Act-Observe-Reflect cycles and Participatory Action Research (PAR) to generate knowledge while improving practice. Use this skill when the user needs to design practitioner research that integrates inquiry with intervention, facilitate participatory research with stakeholders, structure iterative improvement cycles, or when they ask 'how do I research my own practice', 'how do I involve participants as co-researchers', or 'how do I combine research with practical change'.".

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。

"Apply case study research design (Yin) to investigate how and why questions within real-life contexts using single or multiple case designs and triangulation. Use this skill when the user needs to choose between single and multiple case designs, apply holistic versus embedded units of analysis, triangulate evidence from multiple sources, or when they ask 'how should I structure a case study', 'single or multiple cases', or 'how do I ensure validity in case 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。

Multi-source research on a customer question or topic with source attribution. Use when a customer asks something you need to look up, investigating whether a bug has been reported before, checking what was previously told to a specific account, or gathering background before drafting a response.

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 your competitors and build an interactive battlecard. Outputs an HTML artifact with clickable competitor cards and a comparison matrix. Trigger with "competitive intel", "research competitors", "how do we compare to [competitor]", "battlecard for [competitor]", or "what's new with [competitor]".

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。

Prepare for a sales call with account context, attendee research, and suggested agenda. Works standalone with user input and web research, supercharged when you connect your CRM, email, chat, or transcripts. Trigger with "prep me for my call with [company]", "I'm meeting with [company] prep me", "call prep [company]", or "get me ready for [meeting]".

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 competitors and generate a positioning and messaging comparison with content gaps, opportunities, and threats. Use when building sales battlecards, when finding positioning gaps and messaging angles competitors haven't claimed, or when a competitor makes a move and you need to assess the impact.

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。

"Apply the Balanced Scorecard (BSC) framework to translate strategy into measurable objectives across Financial, Customer, Internal Process, and Learning & Growth perspectives. Use this skill when the user needs to set strategic KPIs, create a strategy map, align organizational goals, or connect daily operations to strategic vision — even if they say 'how do we measure strategy execution' or 'our KPIs feel disconnected'.".

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 Van Westendorp Price Sensitivity Meter analysis to identify acceptable price ranges. Use this skill when the user needs to determine price boundaries for a new product, find the optimal and indifference price points, or survey-based pricing research — even if they say 'what should we charge', 'price sensitivity survey', or 'acceptable price range'.".

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 company or person and get actionable sales intel. Works standalone with web search, supercharged when you connect enrichment tools or your CRM. Trigger with "research [company]", "look up [person]", "intel on [prospect]", "who is [name] at [company]", or "tell me about [company]".

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。

Searches for Memorie van Toelichting (explanatory memoranda) for a Dutch law and generates Gherkin test scenarios from legislature-intended examples. Use this skill proactively when: user wants MvT-derived BDD scenarios, mentions "memorie van toelichting", "MvT", "parlementaire stukken", "rekenvoorbeelden", or "kamerstukken" in the context of Dutch law. Activate automatically when a new law YAML file is created and the user discusses testing or validation.

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。

Onderhoudt de inhoud van de roadmap op /roadmap — werkpakketten toevoegen, wijzigen, verplaatsen of verwijderen, onderzoeksvragen schrijven en aan een sectie van het position paper koppelen, en RFC's koppelen die het ontwerp beschrijven. Gebruik dit bij "voeg een werkpakket toe", "verplaats X naar de Hoe-fase", "zet er een onderzoeksvraag bij", of het bijwerken van fases, disciplines en swimlanes.

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 designing, redrawing, or validating research-paper figures and tables, including Matplotlib plots, LaTeX tables, benchmarks, captions, legends, annotations, color, and typography. Preserves exact evidence and checks rendered PDFs for clipping, overlap, and readability.

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 research writing, reviews, rebuttals, or related-work planning needs academic evidence. Searches literature, screens candidate papers, audits novelty and missing work, verifies DOI/BibTeX/reference metadata and citation authenticity, and checks whether sources support the stated claims.

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 or restructure research-paper sections, refine local prose, and audit manuscript-wide consistency. Use for evidence-grounded academic writing and revision, not independent acceptance-risk review or official rebuttal management.

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 or revise audience-ready HTML paper presentations for lab meetings and journal clubs. Use when Codex needs source-grounded figures and tables, a fluent live-talk narrative, verified quotations, varied explanatory diagrams, presenter-paced reveals, or browser QA for evidence fidelity, interaction, responsive layout, and print.

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 independently reviewing a research-paper draft before submission, running a mock top-conference panel, assessing readiness or accept/reject risk, or predicting reviewer concerns for venues such as CVPR, ICCV, ECCV, ICLR, NeurIPS, and AAAI. Does not draft or audit author responses after official reviews arrive.

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 planning a source-grounded method overview, architecture, pipeline, system/data-flow, mechanism, or agent-workflow figure for a CS or deep-learning paper. Produces an editable figure brief before image generation or manual redrawing; not for plots, tables, or general prose.

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 before writing custom code or a research workflow when a maintained library, tool, skill, or proven pattern may already exist. Start with local reuse and targeted evidence; broaden to external research for new dependencies, new mechanisms, or uncertain external facts.

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, screen, deeply read, synthesize, and publish recent research papers for a user-specified topic, window, count, quality/attention balance, and language. Use for evidence-anchored literature digests, cross-paper comparisons, original-language excerpts, Chinese explanations, guided Feishu setup, or Feishu research reports.

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。

Open the warm channel for a role the pipeline already assessed. Finds who the user already knows at the company, researches named targets from public professional presence when they know nobody, grades each path honestly, drafts the ask through the voice agent, and writes the contacts into the Referrals table in job_search.md.

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 asks to track, scan, monitor, digest, or maintain a reading queue for new papers from top journals, Nature/Science/Cell/PNAS families, or any research field. Works with any discipline — ecology, environment, CS, medicine, physics, social sciences, etc.

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 agent when you need to synthesize and distill the core functions of a gene from multiple information sources (textual summaries, reviewed annotations, bioinformatics analysis) and populate the `core_functions` section of a gene review YAML file. This agent should be called after completing the gene research, annotation review, and bioinformatics analysis phases of a gene review 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 this agent when you need to systematically review existing GO annotations for a gene and make curation decisions based on literature evidence and functional analysis. This agent should be called after seeding the SPECIES/GENE/GENE-ai-review.yaml file, which seeds each annotation with `action: PENDING`; these should all be manually reviewed.

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。