Research

Expert for creating and managing Claude Code Agent Skills. Create skills with git submodule + sparse-checkout for source references, write SKILL.md with proper frontmatter, and follow best practices. Use when creating new skills, adding source references to skills, or managing skill configurations.

Create a functional persona definition with expertise, question methodology, and research protocol. Use when an expert perspective needs definition for repeated use across dialogues or sessions.

[Flame] Flame engine quick reference. Component lifecycle, Collision, Effects, Camera and core API reference. (project)

Process voice memos with AI transcription and analysis. Multi-language support (EN, HE), speaker identification, action item extraction with priorities, smart summaries, and auto-categorization (meeting, journal, brainstorm, interview). Triggers - "process voice memos", "transcribe", "analyze memo", "show transcripts", "voice inbox", "extract action items", "meeting notes", "transcribe audio".

Automated literature search using the `lit` CLI tool for comprehensive paper discovery, citation analysis, and bibliography management.Use this skill when:- Conducting systematic literature reviews- Building citation networks from seed papers- Searching for academic papers on a topic- Fetching and managing BibTeX references- Downloading and extracting text from PDFs- Managing research projects with paper collectionsPrerequisites:- BRIGHTDATA_API_KEY for Google Scholar searches- UNPAYWALL_EMAIL for Open Access PDF lookup (optional)- OPENALEX_MAILTO for higher API rate limits (optional)

Researcher role for the ikigai project

Comprehensive startup idea validation and market analysis tool. Use when users need to evaluate a startup idea, assess market fit, analyze competition, validate problem-solution fit, or determine market positioning. Triggers include requests to "validate my startup idea", "analyze market opportunity", "check if there's demand for", "research competition for", "evaluate business idea", or "see if my idea is viable". Provides data-driven analysis using web search, market frameworks, competitive research, and positioning recommendations.

Generate publication-ready scientific figures for research papers.Use this skill when:- Creating any figures for manuscripts (Nature, Science, Cell quality)- Generating data plots from CSV/Excel/JSON datasets- Creating conceptual diagrams, flowcharts, or schematics- Composing multi-panel figures with letter labels (A, B, C, D)- Visualizing architectures, timelines, or workflowsThis skill handles THREE types of figures:1. DATA PLOTS - Line, scatter, bar, violin, heatmap, etc. from tabular data2. SCHEMATICS - AI-generated conceptual diagrams and illustrations3. COMPOSITIONS - Multi-panel figures combining plots and/or schematicsPrerequisites:- For plots: pandas, matplotlib, seaborn- For schematics: OPENROUTER_AI_API_KEY environment variable- For composition: matplotlib or PIL

How to do research for benchmarking, financial and economic modeling, and other business analysis tasks.

Research North American mountain peaks and generate comprehensive route beta reports

Automatically fetch and summarize the latest AI news, research, and industry developments. Use when users request: (1) Daily AI news updates, (2) Latest AI technology developments, (3) Recent AI research papers or breakthroughs, (4) AI industry trends and market news, (5) Specific AI company announcements, or (6) Automated daily AI briefings. Supports customizable search queries, multi-source aggregation, and formatted output in various styles.

Orchestrate comprehensive assessment of newly created skills to determine if they should auto-trigger using context-gathering, code-analyzer, and optional research-expert agents with prioritized evaluation criteria

Self-learning workflow system that tracks what works best for your use cases. Records experiment results, suggests optimizations, creates custom templates, and builds a personal knowledge base. Use to learn from experience and optimize your LLM workflows over time.

Create aesthetically pleasing, visually distinctive frontend UIs using research-backed prompting strategies from Anthropic's frontend aesthetics cookbook

Verify each generated claim against provided sources, enforce inline citations, and prune unsupported text. Use when outputs must be strictly grounded.

Expert personal finance coach with deep knowledge of tax optimization, investment theory (MPT, factor investing), retirement mathematics (Trinity Study, SWR research), and wealth-building strategies grounded in academic research

Marina Moscone competitor-dossier skill. Guides structured competitor research for the MM minisite: prices, lookbooks, e‑comm visuals, press/story arcs, and positioning synthesis. Use when running /mm-comps or doing MM competitor work.

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures understanding before attempting solutions | バグ、テスト失敗、予期しない動作に遭遇した際、修正を提案する前に使用 - 4フェーズフレームワーク（根本原因調査、パターン分析、仮説検証、実装）により、解決策を試す前に理解を確保

Complete Medusa backend API reference and integration guide

Analyze competitor website structures, messaging patterns, and unique features. Use when researching competition, identifying gaps, or informing content strategy.