Работа с CRM, лидами и WhatsApp диалогами

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.

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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.

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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.

Breaks cryptographic systems and decrypts ciphertext. Use when working with RSA, AES, XOR, classical ciphers, hash functions, or when challenge involves encryption, decryption, keys, or mathematical crypto attacks.

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.

Handle messy CSVs with encoding detection, delimiter inference, and malformed row recovery.

Cryptography techniques for CTF challenges. Use when attacking encryption, hashing, ZKP, signatures, or mathematical crypto problems.

Malware and network analysis techniques for CTF challenges. Use when analyzing obfuscated scripts, malicious packages, custom protocols, or C2 traffic.

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

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.

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.

JTBD(Jobs To Be Done) 프레임워크를 사용하여 타겟 고객 유형을 정의합니다. 고객 세그먼트와 핵심 job을 이해할 때 사용하세요.

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.

Reporting framework for monitoring trust, sentiment, and regulator-facing

Configure middleware extension hooks for affolterNET.Web.Bff. Use when adding custom middleware, extending the pipeline, or integrating third-party components.

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.

Create interactive data visualizations using D3.js. Use this when creating charts, graphs, network diagrams, geographic visualizations, or custom SVG-based data visualization.

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

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.