Handle corporate invoice and reimbursement requests. Use when a customer needs an invoice, VAT or tax info, or documentation for company reimbursement.

Guide Socratic discovery of research questions and analytical approaches for text corpus analysis

Systematically investigate large corpus sections (100GB+) using stratified sampling, pattern recognition, and computational verification. Produces comprehensive section analyses with metadata schemas, chunking strategies, and RAG integration recommendations. Use when analyzing large datasets, investigating archive structures, studying corpus organization, conducting investigation and study tasks, or documenting dataset characteristics for RAG pipeline design.

Count the total number of MCP tools in the Umbraco MCP Server project and provide a breakdown by collection. Use when the user asks about tool counts, tool statistics, or how many tools exist.

Enables Claude to create and manage documents in Craft via Playwright MCP

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Set up a comprehensive feature development task with proper tracking, phases, and documentation.

Use to identify and prepare the next logical story based on project progress. Creates comprehensive story files with full technical context.

Setup observability platform configuration (Datadog, Prometheus, Splunk) with REQ-* dashboards and alerts. Creates monitors for each requirement with SLA tracking. Use when deploying to production or setting up monitoring.

Extract a reusable runbook from a successful investigation or troubleshooting session. Use when Claude has just completed a multi-step diagnosis that could help future investigations.

Create multi-step workflow skills with progressive step loading, state management, and interactive decisions. Use when building complex skills like APEX that need structured phases.

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Create high-quality, progressive learning tutorials for VRP Toolkit. Use when the user requests creating tutorials, educational content, or learning materials for any VRP toolkit feature (problem creation, algorithm implementation, data generation, visualization, etc.). This skill ensures tutorials follow best learning practices with progressive disclosure, hands-on examples, and clear explanations.

Creates comprehensive dashboard and analytics interfaces that combine data visualization, KPI cards, real-time updates, and interactive layouts. Use this skill when building business intelligence dashboards, monitoring systems, executive reports, or any interface that requires multiple coordinated data displays with filters, metrics, and visualizations working together.

Use this skill when creating graphics, images, logos, social media posts, marketing materials, presentations, or any visual design work. Integrates with Google Labs AI tools (ImageFX, MusicFX, VideoFX, Whisk) and Canva for professional graphic design. Invoke for logos, banners, thumbnails, infographics, brand assets, photo editing, AI image generation, or any visual creative work.

Creates WPF animations using Storyboard, Timeline, and EasingFunction patterns. Use when implementing UI transitions, state change visualizations, or interactive feedback effects.

Creates WPF FlowDocument for rich text display with Paragraph, Table, List elements. Use when building document viewers, rich text editors, or printable reports.

Assess credit risk and default probability for bonds using credit spreads, rating transitions, and recovery analysis. Requires numpy>=1.24.0, pandas>=2.0.0, scipy>=1.10.0. Use when evaluating corporate bonds, analyzing credit events, estimating default probabilities, or managing credit portfolio risk.

This skill guides rigorous critical evaluation of claims, arguments, and research.

This skill should be used when validating user prompts, plans, or requests before execution. It conducts independent validation, questions assumptions, references official sources and documentation, identifies potential issues, and presents revised recommendations to ensure accuracy and completeness.

Expert in cropland out of production compensation agreements for transmission lines, pipelines, and other infrastructure on agricultural land. Use when analyzing ongoing agricultural productivity impacts from right-of-way agreements, negotiating annual compensation structures (Ontario vs Alberta models), quantifying operational inefficiencies from farming around structures, or advocating for landowner interests based on OFA (Ontario Federation of Agriculture) guidance. Key terms include annual compensation, headlands loss, precision agriculture impacts, ongoing productivity loss, per-structure payments, Alberta Surface Rights Board model

Field connection mapping and systematic ideation for method transfer

Lead cross-functional collaboration by producing a Cross-Functional Collaboration Pack (mission charter, stakeholder/incentives map, roles & expectations contract, operating cadence, decision log, conflict + credit norms). Use for cross-functional collaboration, working with engineering, working with design, reducing execution friction.

Transform Crucible planning documents into detailed chapter-by-chapter outlines with proper narrative craft.

Transform Crucible outlines into first-draft prose while maintaining style consistency, plot fidelity, and narrative quality.

CSS design tokens and color system for vehicle insurance platform. Use when defining colors, spacing, typography, or design variables. Keywords: eye-care colors #5B8DEF/#8B95A5/#C5CAD3, CSS variables, spacing system, color palette, typography scale, design tokens, variables.css, theme colors.

Expert in modern CSS (cascade layers, OKLCH, container queries, defensive patterns). Use for CSS implementation, styling, layout, colors, typography, responsive design, and UI components.

Web exploitation techniques for CTF challenges. Use when solving web security challenges involving XSS, SQLi, CSRF, file upload bypasses, JWT attacks, Web3/blockchain exploits, or other web vulnerabilities.

Core Java development standards for CUI projects including coding patterns, null safety, Lombok, modern features, and logging

CUI JavaDoc documentation standards for Java classes, methods, and code examples

Architecture rules and validation patterns for Claude Code marketplace components ensuring self-contained skills, proper skill usage, and clean reference patterns

Gets, checks, and verifies the current UTC date and time for unambiguous temporal reference. Use when starting tasks, verifying temporal context, ensuring date awareness before time-sensitive operations, or when incorrect date assumptions are detected.

Single source of truth and librarian for ALL Cursor documentation. Manages local documentation storage, scraping, discovery, and resolution. Use when finding, locating, searching, or resolving Cursor documentation; discovering docs by keywords, category, tags, or natural language queries; scraping from llms.txt; managing index metadata (keywords, tags, aliases); or rebuilding index from filesystem. Run scripts to scrape, find, and resolve documentation. Handles doc_id resolution, keyword search, natural language queries, category/tag filtering, alias resolution, llms.txt parsing, markdown subsection extraction for internal use, hash-based drift detection, and comprehensive index maintenance.

Upload markdown (including docmgr ticket docs) to a reMarkable device as PDF via a local uploader script, with a safe dry-run and optional mirroring of ticket structure. Use when the user asks to send docs to reMarkable, export markdown to PDF for reMarkable, or troubleshoot rmapi/pandoc/xelatex.

Building custom CRM systems with careful architecture planning, database design, core features including contact management, deal pipeline, activity tracking, and implementation patterns.

Implement custom React hooks for reusable logic including state management, side effects, and data fetching. Use when extracting component logic into reusable hooks.

Build scalable customer support systems including help centers, chatbots, ticketing systems, and self-service knowledge bases. Use when designing support infrastructure, reducing support load, improving customer satisfaction, or scaling support without linear hiring.

Real-world ROI case study for healthcare content automation pipeline. Clínica Mente Saudável case with validated metrics - 99.4% time reduction (4h15m to 1.5min), 92.4% cost reduction (R$192.50 to R$14.70), +180% monthly ROI turnaround. Includes detailed cost breakdown, optimization strategies, and business impact analysis. Use when evaluating ROI, presenting business case, or validating automation benefits.

Agent system taxonomy (A/B/C/D) based on capabilities - Type A (pure AI), Type B (AI+database context), Type C (AI+web grounding), Type D (AI+database+web). Includes latency/cost analysis, decision tree, healthcare pipeline mapping, and ROI optimization. Use when designing agent architecture, selecting agent type, optimizing costs, or implementing multi-agent workflows.

Complete 5-system healthcare content pipeline for regulated medical content generation. Includes LGPD data extraction (Type B), claims identification (Type A), scientific reference search (Type C), SEO optimization (Type B), and final consolidation (Type D). Validated ROI - 99.4% time reduction, 92.4% cost reduction. Use when implementing healthcare content automation, building regulated medical systems, or optimizing production pipelines.

Overview of Clojure + Google ADK + Vertex AI development environment. Comprehensive lab for building production AI agents using Clojure as primary language, integrating Google ADK via Java SDK and Python libraries via libpython-clj. Includes healthcare pipeline with validated ROI (-99.4% time, -92.4% cost). Use when starting new projects, understanding architecture, or needing general context about the stack.

Plan Linear cycles using velocity analytics. Suggests scope based on historical capacity, identifies dependency risks, balances workload.

Use when creating maps, working with geographic projections, or processing GeoJSON data. Invoke for world maps, choropleth maps, projection types, geo path generators, spherical geometry, or geographic feature manipulation.

Use when creating interactive visualizations with transitions, animations, drag/zoom/brush behaviors, or DOM manipulation. Invoke for data binding with .join(), animated transitions, interactive behaviors, user input handling, or selection operations.

Use when creating tree diagrams, force-directed networks, Voronoi diagrams, or hierarchical layouts. Invoke for org charts, node-link diagrams, treemaps, dendrograms, force simulations, spatial indexing, or network visualizations.

Use when creating SVG shapes, paths, or generators for charts. Invoke for line/area/arc generators, curves, symbols, pie/donut charts, stacks, ribbons, or path manipulation operations.

Create interactive data visualizations using D3.js for charts, graphs, maps, and custom visual analytics

Parses complex problems into DAG (Directed Acyclic Graph) execution structures. Decomposes tasks into nodes with dependencies, identifies parallelization opportunities, and creates optimal execution plans. Activate on 'build dag', 'create workflow graph', 'decompose task', 'execution graph', 'task graph'. NOT for simple linear tasks or when an existing DAG structure is provided.

Matches natural language task descriptions to appropriate skills using semantic similarity. Handles fuzzy matching, intent extraction, and capability alignment. Activate on 'find skill', 'match task', 'semantic search', 'skill lookup', 'what skill for'. NOT for ranking matches (use dag-capability-ranker) or skill catalog (use dag-skill-registry).