Document Skills

Map complete funnel from ad to conversion, documenting each step, identifying metrics at each stage, calculating stage-to-stage conversion rates, and highlighting biggest drop-off points. Use for funnel optimization, diagnosing conversion issues, or documenting funnel architecture.

Use PROACTIVELY when creating research reports, experiment writeups, technical whitepapers, or empirical study documentation. Orchestrates the complete benchmark report pipeline with structure, diagrams, hi-res PNG capture, and PDF export. Provides working scripts, CSS templates, and complete command sequences for publication-quality AI/ML benchmark reports. Not for slides, blog posts, or simple README files.

Track data lineage, ensure reproducibility, and maintain audit trails. Trigger when processing data, creating outputs, or needing to document analysis provenance. Ensures all analyses are reproducible and traceable.

Generate markdown reports with embedded ggterm visualizations. Use when creating analysis reports, documenting results, exporting findings, or when the user wants plots in markdown format for sharing or documentation.

Create custom, highly interactive data visualizations with D3.js (Data-Driven Documents)

Technical research methodology using Context7, Exa, and Sequential Thinking for documentation, best practices, and complex investigations.

This skill generates interactive timeline visualizations using the vis-timeline JavaScript library. Use this skill when users need to create historical timelines, project timelines, event sequences, or any chronological data visualization with optional category filtering. The skill creates a complete MicroSim package with HTML, CSS, JSON data, and documentation.

Export Bosun findings to various formats. Use when exporting audit findings for stakeholders, generating reports from findings.json, creating CSV exports for tracking, or formatting findings for documentation. Also use when sharing findings outside Claude, creating executive summaries, generating HTML reports, or integrating findings with external systems. Guides transformation of findings into actionable outputs for different audiences.

Extract actionable insights from user research, transcripts, and feedback with strategic alignment assessment. Use when analyzing any customer conversation, interview, or feedback document.

Create, edit, and analyze Excel spreadsheets with formulas, formatting, data analysis, and visualization. Use when working with .xlsx files for professional documents, financial models, data analysis, or reporting.

Agentic medical analyst that explores extracted documents iteratively like a real physician - forming hypotheses, seeking evidence, cross-referencing, and building comprehensive analysis through multiple exploration cycles.

Technical patterns for generating professional PDF reports and documentation for heat pump surveys.

Analyzes documents for insights and patterns. Use when user asks to analyze documents, find patterns, or generate reports.

Execute GGUF quantization with imatrix protection, perform statistical benchmark evaluation with error bars, generate academic-style methodology documentation, and create comprehensive scorecards. Use when evaluating model quantization quality, comparing quantization methods, or generating publication-ready evaluation results with subagent execution and PowerShell progress visualization.

Use to assess and document risk factors for stories or features. Creates risk profiles with mitigation strategies.

Creates single-file interactive HTML visualizations from documents or conversations. Triggers on: webify this, create infographic, visualize as webpage, make it a website.

Document ER diagrams and table metadata.

Expert guidance on creating accurate, visually polished Mermaid diagrams for architecture documentation.

Database schema understanding and relationship mapping. Use when exploring unfamiliar databases, documenting table relationships, identifying join paths, or generating ERD documentation for existing schemas.

Knowledge about AIND data infrastructure including MongoDB/DocumentDB access patterns, S3 asset storage, collection schemas, and query patterns. Use when working with AIND analysis results, querying metadata, or accessing stored assets.

Analyze examples and mock data for name diversity, understanding the context and purpose before suggesting changes. Use when reviewing test data, documentation, or seed data.

Structured, reproducible analysis documentation. Use when documenting analysis findings, creating analysis notebooks, ensuring reproducibility, or building analysis archives for future reference.

Skill para estimar proyectos de software y generar documentos Word profesionales. Genera estimaciones con tiempo en meses, equipo propuesto (rol y porcentaje de dedicación), consideraciones técnicas, y warnings/riesgos. Incluye template .docx corporativo. Usar cuando el usuario pida estimar un proyecto, calcular tiempos, definir equipo necesario, generar documento de estimación, o frases como "cuánto tiempo llevaría", "qué equipo necesito", "estimar proyecto", "presupuesto de tiempo", "planifica

Efficiently package context for AI-assisted analysis. Use when preparing to work with Claude on analysis, organizing context documents, or structuring prompts for complex analytical tasks.

Map-Reduce system for comprehensive reports and literature reviews. Breaks topic into chapters, researches each in parallel, then weaves into unified document. Use for deep research, reports, and synthesis.

Create comprehensive semantic layer documentation for analytics assets. Use when documenting data models, defining business metrics, creating data dictionaries, or building context for AI-assisted analysis.

Generates a chronological timeline of key events, decisions, and flashpoints from a collection of documents. Use when asked to create a timeline, understand sequence of events, see what happened when, or track how a situation evolved over time.

Review individual V2 transaction MDX documentation for coverage and accuracy

Orchestrate V2 transaction MDX documentation coverage and quality tracking

Master AI-powered natural language data exploration with Lumen AI. Use this skill when building conversational data analysis interfaces, enabling natural language queries to databases, creating custom AI agents for domain-specific analytics, implementing RAG with document context, or deploying self-service analytics with LLM-generated SQL and visualizations.

Process and manipulate spreadsheet documents. Creates, edits, analyzes, and transforms Excel files with formula and formatting support.

Guide for creating mermaid diagrams for C++ learning and documentation. Creates visual diagrams to help learners understand concepts.

Generate clean, minimal technical SVG diagrams in a consistent Cloudflare-inspired style. Use when creating architecture diagrams, flow diagrams, or component diagrams for blog posts and documentation.

Master MongoDB aggregation pipeline for complex data transformations. Learn pipeline stages, grouping, filtering, and data transformation. Use when analyzing data, creating reports, or transforming documents.

Professional document generator for Active Directory health assessments. Creates executive-quality DOCX reports with consistent branding, proper data visualization, severity-based formatting, and actionable remediation guidance. Use when generating assessment reports from OpsIdentity JSON data or improving document output quality.

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.

Generate test report with clear visual indicators - ✅ for pass, ❌ for fail. Summarize results, document failures, provide recommendations.

Use when exporting data for ad platforms (Google Ads, Meta) or working with project datasets. Documents exact CSV formats for Enhanced Conversions, Customer Match, and project data schemas.

Generate well-formatted markdown tables from data. Use when creating documentation tables or formatting tabular data.

Create onboarding, training, documentation, and enablement flows for admins, data teams, and business users of the InsightPulse Superset Data Lab.