NLP

Match certainty language to actual evidence strength. Use when: (1) asked to indicate certainty or confidence, (2) writing for decision-making context, (3) text uses absolute language like "always" or "never", (4) claims mix facts and inferences without distinction.

Use when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file paths, complete code examples, and verification steps assuming engineer has minimal domain knowledge

Intent-Driven Systems Engineering (IDSE) methodology for structured software development. Use when users want to: (1) Plan a new feature or project systematically, (2) Create engineering artifacts (intent, context, spec, plan, tasks), (3) Move from vague ideas to structured implementation plans, (4) Generate specifications before writing code, (5) Break work into atomic testable tasks, (6) Follow a constitutional engineering approach. Triggers: 'help me plan', 'create a spec', 'IDSE', 'intent-driven', 'write a specification', 'break this into tasks', 'implementation plan', 'what should I build first', 'structured engineering', 'plan before code'.

Multi-agent distributed context preservation protocol using cryptographic sharding, gossip propagation, and Byzantine fault tolerance to maintain coherent shared memory across dynamic agent networks.

Analyze Claude Code session transcripts to debug plugins, understand context usage, and trace execution flow

Draft and enforce system-level persona/rules for Ollama SYSTEM blocks. Use to translate role/constraints into Modelfile SYSTEM text.

AI session compression techniques for managing multi-turn conversations efficiently through summarization, embedding-based retrieval, and intelligent context management.

Example-based prompting techniques for in-context learning

Complete 11-phase guide for building production-ready MCP (Model Context Protocol) servers with semantic layer integration. Covers foundation to deployment, including agent-centric design, tool development, testing, error handling, performance optimization, monitoring, security, governance, and semantic layer integration for business metrics. Use when building enterprise-grade MCP servers that integrate with dbt, Tableau, or other semantic layers for Finance SSC, business analytics, or data governance use cases.

Provides idiomatic Go programming expertise and best practices. Ensures clean, efficient, and maintainable code following official Go conventions. Specializes in concurrent programming patterns, interface design, error handling strategies, and performance optimization. Masters standard library usage and ecosystem integration. Use when: writing Go code (.go files), designing interfaces and struct types, implementing concurrent patterns (goroutines/channels), handling errors idiomatically, writing table-driven tests, creating Go modules, optimizing performance-critical code, managing dependencies with go.mod, implementing HTTP servers and clients, working with context propagation, or designing package APIs for public libraries.

Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.

ElevenLabs AI voice generation API via curl. Use this skill to convert text to speech with realistic AI voices.

Semantic search over skill libraries using ColBERT embeddings. Use when: - "find a skill for..." or "search for skills that..." - "what skill handles..." or "which skill can..." - "index my skills" or "rebuild the skill index" - "show me relevant skills for this task"

Use when Docker commands fail with "Cannot connect to Docker daemon", when starting/stopping container environments, or when managing multiple Docker contexts on macOS - provides Colima lifecycle management, profile handling, and troubleshooting

Claude Code productivity patterns including EPCC workflow, context management, and extended thinking triggers. Use when starting sessions or managing context.

Enterprise Programming Languages Foundation with AI-powered language selection, Context7 integration, and intelligent multi-language orchestration for optimal technology choices

Provide lesson markdown templates for the AI-Native Robotics Textbook. Use when writing lessons, structuring educational content, or validating lesson format.

Analyzes a company's fundamental performance, growth drivers, and risks using verified financial data and text evidence. Use this when asked to research a stock's business model, revenue segments, or quarterly performance.

Harness MCP (Model Context Protocol) server integration for AI-powered CD operations, pipeline management, Git repositories, pull requests, code review comments, and bidirectional Jira synchronization

Generic MCP (Model Context Protocol) server development patterns. Provides reusable architecture and best practices for building MCP servers that expose any domain-specific operations as tools for AI agents. Framework-agnostic implementation supporting async operations, error handling, and enterprise-grade features.