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

This skill helps users transform business ideas and processes into focused, realistic MVP application plans through critical dialogue. The approach is **ruthlessly minimalist** - like an experienced p

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.

CRM integration patterns for Close CRM, HubSpot, and Salesforce. Use when: Close CRM, HubSpot, Salesforce, CRM API, lead sync, deal sync, activity logging, CRM webhook, pipeline automation, contact enrichment.

cro

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.

>

Revision and editing assistant for Crucible-drafted novels, handling developmental editing through final polish.

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.

Cryptographic implementation analysis and validation for encryption algorithms, key sizes, and certificate management

Client-side cryptography with libsodium. Use when working on files in src/lib/crypto/.

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

Use when implementing Disney's 12 animation principles with pure CSS animations and transitions

Provides foundational CSS design tokens (custom properties) for typography, spacing, colors, borders, z-index, and transitions. Use when setting up a base token system for a web project.

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

Maintain Cupertino + Lumina visual consistency for the AERA frontend. Use when creating or modifying UI, CSS/tokens, layouts, components, menus/overlays, tables, charts, or interaction states in this repo.

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.

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

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.

Context management patterns for multi-source AI agents in Clojure+Vertex AI. Covers 4 context types (static/query/API/previous-result), lifecycle management (load/cache/invalidate), TTL strategies, and LGPD-compliant sensitive data handling. Includes production metrics (58% cost reduction via caching). Use when designing agent contexts, implementing multi-source data integration, optimizing cache strategies, or building LGPD-compliant systems.

Cost optimization strategies for production AI pipelines in Clojure+Vertex AI. Covers multi-model routing (70% Gemini/20% Haiku/10% Sonnet), token optimization (prompt engineering, output constraints), aggressive caching (58% cost reduction), batch processing, and real-time monitoring. Includes production metrics showing $0.391 to $0.162 per pipeline (-58%). Use when optimizing production costs, implementing multi-model strategies, designing budget controls, or scaling to high volume.

Convert between construction measurement units. Handle metric/imperial conversion, area/volume calculations, and unit normalization for CWICR data.

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

Comprehensive quality control for flow cytometry and CyTOF data. Covers flow rate stability, signal drift, margin events, dead cell exclusion, and batch QC. Use when assessing acquisition quality or identifying problematic samples before analysis.

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.

Validates DAG structures, performs topological sorting, detects cycles, and resolves dependency conflicts. Uses Kahn's algorithm for optimal execution ordering. Activate on 'resolve dependencies', 'topological sort', 'cycle detection', 'dependency order', 'validate dag'. NOT for building DAGs (use dag-graph-builder) or scheduling execution (use dag-task-scheduler).

End-to-end DAG execution orchestrator that decomposes arbitrary tasks into agent graphs and executes them in parallel. The intelligence layer that makes DAG Framework operational.

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.

Executes DAG waves with controlled parallelism using the Task tool. Manages concurrent agent spawning, resource limits, and execution coordination. Activate on 'execute dag', 'parallel execution', 'concurrent tasks', 'run workflow', 'spawn agents'. NOT for scheduling (use dag-task-scheduler) or building DAGs (use dag-graph-builder).

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).

dagster-orchestration

Expert on building decentralized applications with Shelby Protocol storage on Aptos. Helps with dApp architecture, wallet integration (Petra), browser SDK usage, React/Vue integration, file uploads, content delivery, and building Shelby-powered applications. Triggers on keywords Shelby dApp, build on Shelby, Shelby application, Petra wallet, browser storage, web3 app, decentralized app Shelby, React Shelby, Vue Shelby.

To search pub.dev for relevant Dart packages, query by keywords and return download counts, topics, license, and publisher.

Build production-grade interactive dashboards with Plotly Dash - enterprise features, callbacks, and scalable deployment

Create a new screen in the Multi-site Dashboard with automatic route registration

Guide for adding features to the Orient dashboard across backend and frontend.

Dashboard symbol_signals uses parallel lists (symbols[], signal_values[], gate_statuses[]) not dict keyed by symbol. Trigger when: (1) 'list' object has no attribute 'get', (2) .items() on symbol_signals fails.