Use when starting a session on a project, returning after time away, or before making significant changes. Essential for building comprehensive understanding of project state through total recall and deep exploration.

Complete Maven standards covering build processes, POM maintenance, dependency management, and Maven integration for CUI projects

Design valid assessments aligned to learning objectives and create rubrics with clear performance criteria following backwards design principles.

Map customer journeys to optimize touchpoints and experiences

Synthesize research, data, and insights to create a rich, actionable buyer persona with demographics, psychographics, jobs-to-be-done, pain points, motivations, buying journey, and channel preferences. Use when the user needs to understand their target customer deeply or create a customer persona for marketing strategy.

Cutting parameter lookup and optimization for CNC machining. Covers feeds, speeds, depths of cut for common materials and operations. USE WHEN user asks 'feeds and speeds', 'cutting parameters', 'SFM for', 'what RPM', 'feed rate for', 'DOC for', or needs machining parameter guidance.

Multi-agent workflow orchestration patterns for Clojure+Vertex AI. Covers sequential/parallel/DAG topologies, state management (stateless/stateful/hybrid), error handling (retry/circuit breaker), and monitoring. Includes production metrics from healthcare pipeline (99.4% latency reduction, 92.4% cost reduction). Use when designing multi-agent systems, implementing complex pipelines, optimizing workflow performance, or building production orchestration.

Python interoperability setup using libpython-clj for Clojure agent development. Includes Python environment configuration, module importing strategies, data type conversion between Python and Clojure, NumPy/Pandas/HuggingFace integration, virtual environment setup, and performance optimization. Use when integrating Python ML libraries, setting up data science workflows, troubleshooting Python interop issues, working with NumPy arrays or Pandas DataFrames, or calling HuggingFace transformers from Clojure.

Creative writing skill for creating canonical reference documentation (wikis) for fictional worlds, characters, and story events. Use when creating or updating wiki pages, official documentation, character profiles, location documentation, or lore pages. Creates polished, sourced, encyclopedic reference material.

Analyze contractor bids against CWICR benchmarks. Identify pricing anomalies, compare bid components, and support bid evaluation decisions.

Optimize crew composition using CWICR labor norms. Balance productivity, cost, and skill requirements for construction crews.

Analyze and compare subcontractor bids against CWICR benchmarks. Evaluate pricing, identify outliers, and support negotiation.

You are an expert in cycle counting and inventory accuracy management. Your goal is to help design and optimize cycle counting programs that maintain high inventory accuracy while minimizing operation

D1 swimming recruitment expertise for Michael Shapira. Invoke when discussing swim times, college recruiting, or coach outreach.

Use when Daem0nMCP tools are available - enforces the sacred covenant (commune at session start, seek counsel before changes, inscribe decisions, seal outcomes)

Ranks skill matches by fit, performance history, and contextual relevance. Applies multi-factor scoring including success rate, resource usage, and task alignment. Activate on 'rank skills', 'best skill for', 'skill ranking', 'compare skills', 'optimal skill'. NOT for semantic matching (use dag-semantic-matcher) or skill catalog (use dag-skill-registry).

Manages agent isolation levels and resource boundaries. Configures strict, moderate, and permissive isolation profiles. Activate on 'isolation level', 'agent isolation', 'resource boundaries', 'sandboxing', 'agent containment'. NOT for permission validation (use dag-permission-validator) or runtime enforcement (use dag-scope-enforcer).

Profiles DAG execution performance including latency, token usage, cost, and resource consumption. Identifies bottlenecks and optimization opportunities. Activate on 'performance profile', 'execution metrics', 'latency analysis', 'token usage', 'cost analysis'. NOT for execution tracing (use dag-execution-tracer) or failure analysis (use dag-failure-analyzer).

Central catalog of available skills with metadata, capabilities, and performance history. Provides skill discovery and lookup services. Activate on 'skill registry', 'list skills', 'skill catalog', 'available skills', 'skill metadata'. NOT for matching skills to tasks (use dag-semantic-matcher) or ranking (use dag-capability-ranker).

Talk to Dan Kennedy about their expertise. Dan Kennedy provides authentic advice using their mental models, core beliefs, and real-world examples.

Talk to Dara Denney Youtuber about their expertise. Dara Denney Youtuber provides authentic advice using their mental models, core beliefs, and real-world examples.

Guidelines for database interactions using raw SQL and idiomatic Go patterns

data-analyst-sql-optimization

Use when writing SQL queries, optimizing database performance, or analyzing data

Best practices and conventions for server-side data fetching, caching, and rendering in Next.js 16+ applications.

智能数据优化工具，自动清理和优化项目文件

Recommend basic data structures for a task. Use when a junior developer needs help choosing lists, maps, or sets.

Use when designing databases for data-heavy applications, making schema decisions for performance, choosing between normalization and denormalization, selecting storage/indexing strategies, planning for scale, or evaluating OLTP vs OLAP trade-offs. Also use when encountering N+1 queries, ORM issues, or concurrency problems.

Data warehouse (大数据/数仓) ops skill for designing and operating analytical data platforms. Use for tasks like defining source-of-truth, building ETL/ELT pipelines, dimensional modeling (star schema), data quality checks, partitioning strategies, cost/performance tuning, governance, lineage, and SLA monitoring.

Automate backups, replication, and performance tuning.

database-administrator

Expert in database schema design with focus on normalization, indexing strategies, FTS optimization, and performance-oriented architecture for desktop applications

Database schema design patterns and optimization strategies for relational and NoSQL databases. Use when designing database schemas, optimizing query performance, or implementing data persistence layers at scale.

Advanced database design and administration for PostgreSQL, MongoDB, and Redis. Use when designing schemas, optimizing queries, managing database performance, or implementing data patterns.

Standards for database interaction, connection pooling, and repository patterns in Golang.

Comprehensive guide for database management patterns covering PostgreSQL and MongoDB including schema design, indexing, transactions, replication, and performance tuning

Monitor database performance and health. Use when setting up monitoring, analyzing metrics, or troubleshooting database issues.

Database expert for query optimization, indexing, schema design, and performance tuning

Expert database performance agent for EasyPlatform. Optimizes queries, indexes, and data access patterns for MongoDB, SQL Server, and PostgreSQL.

SQLite veritabani yapisi ve CRUD pattern referansi. Use when working with database operations, queries, or understanding the data model.

Database access patterns for performance. Separate read/write models, avoid N+1 queries, use AsNoTracking, apply row limits, and never do application-side joins. Works with EF Core and Dapper.

Database schema design patterns for SQL and NoSQL databases

ทำงานกับ PostgreSQL และ MongoDB อย่างมีประสิทธิภาพ

Configure Databricks profile and authenticate for Databricks Connect, Databricks CLI, and Databricks SDK.

Python dataclass best practices: slots, frozen, validation. Trigger when optimizing dataclasses or creating config classes.

Dataclass patterns including frozen dataclasses, slots, immutability, and value objects. Activated when designing data classes or value types.

Curate and clean training datasets for high-quality machine learning

Expert database architecture including schema design, partitioning, replication, and performance optimization

Designs database schemas, data models, and database architectures

Monitor database performance and prevent regressions.