Research
Research tools and academic skills
3205 skills in this category
Subcategories
microsim-p5
Create an interactive educational MicroSim using the p5.js JavaScript library with distinct regions for drawing and interactive controls. Each MicroSim is a directory located in the /docs/sims folder. It has a main.html file that references the javascript code and the main.html can be referenced as an iframe from the index.md. The metadata.json contains Dublin core metadata about the MicroSim.
agent-invoker
Quick reference for invoking the 11 CasareRPA agents. Shows agent names, capabilities, and example Task tool invocations.
documentation-manager-docs-as-code
Manages, consolidates, and optimizes project documentation following research-backed docs-as-code principles. Use this skill when documentation becomes scattered, duplicated, or contradictory after development work. Also use when user explicitly requests "tidy docs", "consolidate documentation", "clean up docs", or "organize documentation". Applies Diátaxis framework, enforces YAML front matter, resolves conflicts using evidence-based rules, and generates machine-readable manifest for AI agents. NEVER modifies CLAUDE.md.
styling
Modern CSS styling methodology prioritizing CSS Grid over Flexbox.Covers Grid layout patterns, Subgrid, Container Queries, Design Tokens, and maintainable CSS architecture.Reference for implementing scalable, responsive layouts with predictable behavior.
michael-d1-recruiting-skill
D1 swimming recruiting workflows including coach outreach, program research, SwimCloud tracking, and timeline management
api-researcher
Expert API research including discovery, evaluation, integration analysis, and documentation review
keyword-research
Identify high-value, low-competition keywords for Ontario therapy practice. Analyzes Ahrefs/GSC data to find opportunities, calculates priority scores (volume + difficulty + intent), identifies quick wins under difficulty 40, detects cannibalization risks, maps keywords to content types, and suggests topic clusters. Use when user asks "what keywords should I target", mentions "keyword research", provides Ahrefs data, or when planning content strategy.
writing
Comprehensive writing guidance for professional documents across legal, academic, executive, and business contexts. Use when drafting, editing, or revising any document where quality prose matters: briefs, memos, law review articles, reports, client letters, contracts, executive summaries, presentations. Provides style selection, cognitive fluency techniques, structure frameworks, concision patterns, and revision checklists. Invoke when users ask to write, edit, revise, or improve documents.
code-evolution
Autonomous multi-agent code evolution system for optimization problems. Use when solving complex optimization problems (packing, geometry, scheduling, search) through evolutionary approaches with multiple independent AI agents. Multi-start hybrid heuristic+SLSQP methods significantly outperform single approaches. Triggers include genetic algorithms, evolutionary optimization, multi-agent problem solving, parameter tuning at scale, AlphaEvolve-style research, or evolving code solutions across generations.
querying-granola
Queries local Granola meeting cache for meeting history, context, and attendee information. Use when preparing for meetings, researching past interactions with a person or company, finding past discussions on a topic, tracking engagement, or when user mentions Granola, meeting notes, meeting history, or attendees.
video-coder
Expert React video scene component creator for educational content. Builds production-grade, visually distinctive components using framer-motion animations, pixel-precise positioning, and optimized performance patterns. Follows strict component format with React.memo, threshold-based state updates, and module-level definitions. Outputs self-contained TSX components with proper timing sync, 60fps performance, and comprehensive reference-based implementation.
parallel-search
Comprehensive web research via Parallel Search API. Use when user requests parallel search for deep multi-source research, technical analysis, learning new topics, current events, or comparative studies. Returns LLM-ready ranked URLs with extended excerpts (up to 30K chars). Single API call handles multiple query angles with automatic deduplication.
testing
Vitest + Storybook testing strategy with clear role separation.Reference for implementing unit tests and UI interaction tests.
litefs-testing
Testing patterns for litefs-py and litefs-django. Use when writing tests, setting up fixtures, understanding test organization, or configuring pytest marks. Triggers: test, pytest, unit test, integration test, property-based testing, hypothesis, fixtures, in-memory adapters.
synthesis-engine
Cross-domain integration using diffusion dynamics. Operationalizes intellectual chaos methodology - deliberately combining diverse materials to surface unexpected patterns. Use when given multiple documents from different fields, asked to find connections between disparate concepts, synthesizing across disciplines, or when user uploads varied materials expecting emergent insight.
code-review
Reviews code for quality issues, potential bugs, security vulnerabilities, and adherence to best practices. Provides actionable feedback with specific line references.
research
Pre-implementation research for design, architecture, and impact analysis. Use during brainstorming, architectural design, or before implementation to understand dependencies and integration points. Triggers on (1) designing or architecting a feature, (2) brainstorming implementation approaches, (3) analyzing impact of proposed changes, (4) exploring reference materials in extra/, (5) creating research reports before planning.
research-reproduction
Reproduce research papers into working code. Use when user wants to implement ML/AI papers, reproduce experiments, extract algorithms from PDFs, or convert research into executable code. Handles multiple interconnected papers with multi-agent extraction, equation verification, and benchmark validation.
end-reason
Oxford Nanopore read end reason QC analysis. Use when analyzing nanopore sequencing quality, checking for adaptive sampling efficiency, investigating read termination patterns, diagnosing sequencing issues, or running QC on POD5/Fast5 data. Integrates with ont-experiments for provenance tracking via Pattern B orchestration. Supports signal_positive, unblock_mux_change, data_service_unblock_mux_change analysis with quality thresholds.
publication-preparation-assistant
記事の公開準備を支援するスキル。完成した記事のタイトル、絵文字、タグを最適化し、公開タイミングを提案します。また、フロントマターの公開設定を適切に更新します。記事のレビューが完了し、公開準備が整った時に使用してください。