Research & Search

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Run deep research on any topic using parallel AI agents

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Build a codebase knowledge base of business logic, architecture, data flow, and patterns.

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Orchestrate parallel scientist agents for comprehensive research with AUTO mode

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[Research] Broad web search on a topic. Collect sources, validate credibility, build source map. Use when starting any research task.

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GitLab integration for fetching issues/MRs, generating executive summaries, performing comprehensive code reviews, and automating issue resolution workflows. Use when working with GitLab issues, merge requests, or when asked to summarize, review, comment on, or resolve GitLab work items.

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Systematically process user interviews to extract actionable insights. Batch processes interviews and generates research reports.

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Distill rich gathered context (research output, recon reports, big learnings) into evidence-anchored rules and route each rule to its automation shape.

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Systematic codebase exploration following the Iron Law - understand the problem before exploring code. Four phases with file-finder and web-researcher agents.

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[Research] Deep-dive into top sources from web-research. Extract key findings, cross-validate claims, build evidence base.

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Multi-source research across code, discourse, and academic channels.

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Senior Technical Reviewer for research objectivity. Enforces the "Documentarian" standard, ensuring all findings are unbiased, evidence-backed, and grounded in code.

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Implements Manus-style file-based planning to organize and track progress on complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when asked to plan out, break down, or organize a multi-step project, research task, or any work requiring 5+ tool calls. Supports automatic session recovery after /clear.

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Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), for research papers and journal submissions.

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Track and manage research hypotheses with confidence levels. Use when the user asks about prior research, wants to validate claims, or queries what is known about a company.

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Use when you need to research, analyze, and plan technical solutions that are scalable, secure, and maintainable.

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Systematic investigation and root cause analysis. Use when debugging persistent issues, understanding complex systems, or before making architectural decisions.

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Build persistent project knowledge using checkpoint/recall. Activates when fixing bugs, making decisions, or investigating past work. Creates automatic knowledge base through systematic checkpointing and semantic recall.

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Content extraction skill for AI coding agents. YouTube transcripts, podcasts, PDFs, images (OCR), audio/video via the summarize CLI.

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Use at the end of a Claude Code session to create a comprehensive summary note in Obsidian and add a brief reference to the daily note

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Jira project management and issue tracking integration

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Research libraries, APIs, and patterns using searchGitHub and Exa tools. Finds real-world implementations and saves structured reports to docs/research/. Use when investigating technologies, debugging issues, or comparing options.

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When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' or 'monetization.' This skill covers pricing research, tier structure, and packaging strategy.

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Access official US Government records. Currently supports SEC EDGAR (financial filings) and Federal Register (rule changes). Ensures data provenance from .gov domains.

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Use when auditing architectural patterns through the evaluation platform with mandatory best-practice research, coordinated pattern workers, and structured summaries.

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Generate and validate user stories from various inputs including requirements, research, and feature descriptions. Apply INVEST criteria validation, create acceptance criteria, split large stories, and convert between story formats.

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Generate new Claude Code skills from requirements through guided questions and pattern selection

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Write the full blog article using research notes, article outline, and generated diagrams. Follows the exact pedagogical style of the DeepSeek chapters. Use when research, plan, and figures are all ready.

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Conduct structured research with sourced summaries, confidence ratings, and hierarchical findings.

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Guided statistical analysis with test selection and reporting. Use when you need help choosing appropriate tests for your data, assumption checking, power analysis, and APA-formatted results. Best for academic research reporting, test selection guidance. For implementing specific models programmatically use statsmodels.

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Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research

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Research how to implement a phase (standalone - usually use /gsd:plan-phase instead)

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Enrich any person or company from any identifier — email, name, LinkedIn URL, domain, company name, Twitter/X handle. Use when asked to enrich, look up, or research a lead, contact, person, or company.

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Wire Commands, Agents, and Skills together for complex features. Use when building features that need research, planning, and implementation phases.

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Reproduce a bug from a Linear ticket with a failing test. Expects the full ticket context (title, description, comments) to be provided as input.

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Pesquisa aprofundada com metodologia estruturada

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Search and progressively read open-access academic papers through DeepXiv. Use when the user wants layered paper access, section-level reading, trending papers, or DeepXiv-backed literature retrieval.