區塊鏈

Context isolation for query-type MCP tools (LSP, search, database) via external CLI. Use when MCP query results consume too many context tokens.

Chaos experiment design methodology. Hypothesis formation, success criteria definition, blast radius control, validation patterns, and SLI monitoring for effective chaos engineering.

Self-improvement engine. Implements generate-critique-iterate loops for enhanced reasoning. Use when working through complex problems, synthesizing across domains, or when initial output needs refinement. Integrates with ego-check to prevent runaway confidence. Maximum 3 iterations to conserve tokens.

Auto-generate Pydantic models from schema descriptions with type hints, validation rules, examples, and JSON schema export. 75% token savings (2,000→500).

Braiins OS MCP Server Development - Building MCP tools, resources, and prompts for Bitcoin mining operations management

Production monitoring, observability, SLO/SLI management, and incident response.Trigger terms: monitoring, observability, SRE, site reliability, alerting, incident response,SLO, SLI, error budget, Prometheus, Grafana, Datadog, New Relic, ELK stack, logs, metrics,traces, on-call, production monitoring, health checks, uptime, availability, dashboards,post-mortem, incident management, runbook.Completes SDD Stage 8 (Monitoring) with comprehensive production observability:- SLI/SLO definitions and tracking- Monitoring stack setup (Prometheus, Grafana, ELK, Datadog, etc.)- Alert rules and notification channels- Incident response runbooks- Observability dashboards (logs, metrics, traces)- Post-mortem templates and analysis- Health check endpoints- Error budget trackingUse when: user needs production monitoring, observability platform, alerting, SLOs,incident response, or post-deployment health tracking.

Design system management for building and reusing UI components, tokens, and patterns. Use when working with component libraries, design tokens, style guides, or reusable UI patterns to ensure consistency and promote component reuse.

Parse large documents that exceed context limits into structured sections with abstracts, metadata, and hierarchies. This skill should be used when encountering documents over the context limit (typically 25k+ tokens) or when a user explicitly requests document parsing. Apply layout-aware hierarchical chunking principles to preserve semantic structure.

Design and build reusable, composable UI components with single responsibility, clear interfaces, proper encapsulation, and minimal props following component best practices. Use this skill when creating or modifying React component files (.jsx, .tsx), Vue single-file components (.vue), Angular component files (.component.ts, .component.html), Svelte components (.svelte), Web Components, or any frontend UI component files in directories like components/, src/components/, app/components/, lib/components/, or ui/components/. Use this when designing component APIs by defining explicit, well-documented props with TypeScript interfaces or PropTypes and providing sensible default values for optional props, implementing component composition patterns by combining smaller, simpler components into more complex UIs rather than building monolithic structures that are hard to maintain, ensuring each component has a single clear responsibility and does one thing well following the Single Responsibility Principle, managing

Provide L1-L5 pedagogy layer reference for the AI-Native Robotics Textbook. Use when assigning layers to content, understanding layer requirements, or validating layer progression.

TypeScript strict mode patterns with interfaces, type guards, generics, and utility types. Use when defining types, creating type-safe functions, handling nullable values, or implementing generic components.

Generate JWT authentication configuration and utilities for API security. Triggers on "create jwt config", "generate jwt authentication", "jwt setup", "token auth config".

Database operations for BAZINGA orchestration system. This skill should be used when agents need to save or retrieve orchestration state, logs, task groups, token usage, or skill outputs. Replaces file-based storage with concurrent-safe SQLite database. Use instead of writing to bazinga/*.json files or docs/orchestration-log.md.

Triggers when reading or writing documents exceeding 20,000 tokens (~80,000 characters or ~15,000 words). Use when encountering large files, lengthy documentation, big markdown documents, massive PRDs, architecture docs, or any content that risks context window overflow. Activates on phrases like "this document is long", "large file", "too many tokens", or when Claude detects document size approaching limits.

Better Auth JWT verification for Python/FastAPI backends. Use when integrating Python APIs with a Better Auth TypeScript server via JWT tokens. Covers JWKS verification, FastAPI dependencies, SQLModel/SQLAlchemy integration, and protected routes.

Build real-time voice and video applications with Google's Gemini Live API. Use when implementing bidirectional audio/video streaming, voice assistants, conversational AI with interruption handling, or any application requiring low-latency multimodal interaction with Gemini models. Covers WebSocket streaming, voice activity detection (VAD), function calling during conversations, session management/resumption, and ephemeral tokens for secure client-side connections.

Implement NFT standards (ERC-721, ERC-1155) with proper metadata handling, minting strategies, and marketplace integration. Use when creating NFT contracts, building NFT marketplaces, or implementing digital asset systems.

Generates Drizzle ORM schema files for users, sessions, tokens, OAuth accounts, and audit logs. Syncs schema to Neon Postgres.

Expert designer for Claude tool schemas, orchestration patterns, and agentic workflows. Helps developers create effective tool definitions, handle tool results, and build reliable Claude-powered applications

Comprehensive software architecture skill for designing scalable, maintainable systems using ReactJS, NextJS, Bun, Express, React Native, Swift, Kotlin, Flutter, Postgres, GraphQL, Go, Python. Includes architecture diagram generation, system design patterns, tech stack decision frameworks, and dependency analysis. Use when designing system architecture, making technical decisions, creating architecture diagrams, evaluating trade-offs, or defining integration patterns.