Research & Search

majiayu000 Bundle

Interactive interview that formalizes a fuzzy research idea into a structured spec (RQ, hypotheses, identification, data needs, empirical strategy). Use when user says "interview me", "help me think through this idea", "I have a half-baked idea", "formalize this into a project", "walk me through framing a study". Multi-turn Q&A; saves spec to disk. NOT for lit review (`/lit-review`) or ideation from scratch (`/research-ideation`).

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This skills helps agents to review and polish research papers written in LaTeX, focusing on writing clarity, grammar, LaTeX best practices, and document structure.

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Research a topic across the knowledge base before implementation. Searches L-docs, patterns, PROJECT_PLANs, SOPs, and governance for relevant context.

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Summarize customer support/sales calls from [Dialpad](https://composio.dev/toolkits/dialpad) or [Leexi](https://composio.dev/toolkits/leexi) call logs

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Deep web research with parallel investigators, multi-wave exploration, and structured synthesis. Spawns multiple web-researcher agents to explore different facets of a topic simultaneously, launches additional waves when gaps are identified, then synthesizes findings. Use when asked to research, investigate, compare options, find best practices, or gather comprehensive information from the web.\n\nThoroughness: quick for factual lookups | medium for focused topics | thorough for comparisons/evaluations (waves continue while critical gaps remain) | very-thorough for comprehensive research (waves continue until satisficed). Auto-selects if not specified.

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Business Analyst (Atlas). Use for market research, competitive analysis, user research, brainstorming session facilitation, structured ideation workshops, feasibility studies, i...

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Creative writing orchestrator for Horus persona. Multi-phase workflow: Initial Thought → Research (movies, books, memory, past) → Dogpile Context → Iterative Writing (2-3 drafts with critiques). Supports all formats: short stories, screenplays, podcast scripts, novellas, flash fiction.

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Display comprehensive project progress including BRD status, corpus statistics, research progress, and writing progress with recommendations for next actions

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Manage bibliographies, citations, and academic references in multiple formats

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Extract structured claims, predictions, hints, and opinions from AI research content. Use when processing tweets, blog posts, substacks, or other content from AI researchers to identify substantive assertions about AI capabilities, limitations, and progress.

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This skill should be used when creating or organizing working files in the .claude/ directory. It enforces consistent structure, naming conventions, and required cross-references for plans, architecture docs, examples, research, and analysis files.

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Adversarial brainstorming. Claude and Codex independently research then debate until Nash equilibrium. For solution exploration, feasibility analysis, exhaustive enumeration.

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Collect improvement insights from UI/UX reviews, document research, or external references, convert confirmed items into development requirements. Use when users have optimization suggestions, research findings, or want to improve based on external references. Triggers on keywords like "insights", "improvements", "optimize", "review findings", "research", "借鉴", "优化建议", "审查结果", "调研".

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Knowledge base for the Cadre DevKit. Use when answering questions about the devkit structure, commands, skills, hooks, agents, or workflows.

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Fetch documents from codex knowledge base with cache-first strategy. Delegates to fractary CLI for actual retrieval operations.

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Summarize documents, extract key points, and generate structured outlines

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This skill should be used when user wants to learn from their collected references, synthesize patterns across sources, or turn research into frameworks from curated reference collections (Are.na channels, bookmarks, saved articles).

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Research: idea generation, market research, competitors, personas, pricing, validation.

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Use after research (Z01 files exist) to create implementation plan - follow structured workflow

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Use this whenever a user wants to add a new feature or explitly states to research a feature/API or building a plan for a new feature. It iterviews the user for feature details (if not provided), research the best API/service for their needs, confirm choice, then gather all implementation notes for their request and save them as a .claude/plans file.

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Conducts systematic internet research through strategic questioning and multi-source analysis. Gathers information from web sources (not codebase), cross-references claims across multiple sources, evaluates source credibility using tier system (official docs, expert blogs, community resources), identifies patterns and consensus, and produces structured reports in .research/. Use when user needs to gather knowledge from internet, find best practices, compare solutions, evaluate technologies, understand industry trends, or investigate topics thoroughly. Triggers include "research online", "gather information about", "find best practices for", "compare solutions", "evaluate", "investigate topic", "what do sources say", "look up", "search for information".

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Use when creating or updating evidence-based gourmet research outputs for cities (restaurants/cafes/desserts) that require multi-source evidence, standardized scoring, and structured city folders.

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Use when expanding seed topics into intent-based clusters and prioritizing opportunities.

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Manage research state for SAE feature analysis including hypotheses, evidence tracking, and research history

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Retrieves scientific papers from PubMed and creates plain-language research summaries. Use when users ask about medical research, scientific studies, clinical trials, disease treatments, or want to understand recent scientific literature on any biomedical topic.

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Generate comprehensive summary of meeting. **Use this skill when the user requests to 'create meeting summary', 'summarize the meeting', 'generate meeting email'.

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Use Perplexity Sonar API for real-time, citation-backed answers. Ideal for up-to-date information and quick synthesis. Requires PERPLEXITY_API_KEY

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Executes Perplexity AI queries via unified Python CLI. Use when conducting web research, asking questions with citations, deep research tasks, reasoning problems, or searching for up-to-date information.

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Researches phase implementation for planning. Spawned by /gsd:plan-phase or /gsd:research-phase orchestrators.

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Create pre-registration documents for research transparency. Use when: (1) Before data collection, (2) Grant submissions, (3) Ensuring reproducibility, (4) Meeting open science standards, (5) Preventing HARKing.

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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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Prepare manuscripts for journal submission. Use when: (1) Writing research papers, (2) Selecting target journals, (3) Formatting manuscripts, (4) Ensuring reporting guideline compliance, (5) Preparing submission materials.

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ALWAYS USE when working with Pydantic models, BaseModel, Field, validators, or data contracts. MUST be loaded before creating any Pydantic schemas, configuration classes, or API contracts. Provides v2 syntax validation and SDK research steps.

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Comprehensive research combining web search, quantum analysis, and persistent memory. Use when researching topics that need current information plus deep cognitive analysis.

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Conduct a quarterly review of your overall research mission and direction. This is a user-level review stored in ~/.researchAssistant/. Use when the user types /quarterly_review, every 3 months, after major project milestones, or when questioning research direction.

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Request tracking knowledge base. Covers request structure, status tracking, document references, progress management.