policyengine-simulation-mechanics
Advanced simulation patterns with policyengine.py - ensure(), output_dataset.data, and map_to_entity()
Advanced simulation patterns with policyengine.py - ensure(), output_dataset.data, and map_to_entity()
Use when you need to track database changes for compliance and security monitoring. This skill implements audit logging using triggers, application-level logging, CDC, or native logs. Trigger with phrases like "implement database audit logging", "add audit trails", "track database changes", or "monitor database activity for compliance".
When creating or removing a new feature flag from the database
Stream creation, transformation, sinks, batching, and resilience. Use when building data pipelines with concurrency and backpressure.
Value-based data structures (Data.struct, tuple, array) and high-performance collections (Chunk, HashSet). Use for safe comparisons and pipelines.
Maintains memory cleanliness with deduplication, validation, and expiration
Validate a capability flow specification against schema constraints. Use after designing a process to ensure it conforms to framework rules. Triggers on "validate capability flow", "check process spec", "verify schema compliance".
Implement data validation rules, quality metrics, and data cleansing strategies
ETL pipelines, Apache Spark, data warehousing, and big data processing. Use for building data pipelines, processing large datasets, or data infrastructure.
Use when you need to ensure database integrity through comprehensive data validation. This skill validates data types, ranges, formats, referential integrity, and business rules. Trigger with phrases like "validate database data", "implement data validation rules", "enforce data integrity constraints", or "validate data formats".
Guide for authoring specialized AI agents. Use when creating, updating, or improving agents, choosing models, defining focus areas, configuring tools, or learning agent best practices.
撰写提示词、优化提示词、改写 Prompt、Prompt 优化。将模糊的想法转化为精确有效的 AI 提示词,支持 ChatGPT、Claude、Gemini、DeepSeek、豆包、智谱等多平台。
A universal self-improving agent that learns from ALL skill experiences. Uses multi-memory architecture (semantic + episodic + working) to continuously evolve the codebase. Auto-triggers on skill completion/error with hooks-based self-correction.
Convert MCP servers to typed TypeScript APIs for efficient code execution. Reduces token usage by 98%+ by transforming tool calls into programmatic access. Use when building agents that need to interact with multiple MCP servers efficiently, when context window is a concern, or when native control flow (loops, conditionals) would simplify multi-step workflows.
AG-UI (Agent-User Interaction) protocol reference for building AI agent frontends. Use when implementing AG-UI events (RUN_STARTED, TEXT_MESSAGE_*, TOOL_CALL_*, STATE_*), building agents that communicate with frontends, implementing streaming responses, state management with snapshots/deltas, tool call lifecycles, or debugging AG-UI event flows.
Analyze LangGraph application architecture, identify bottlenecks, and propose multiple improvement strategies
Creates claude-queue tasks when usage limits are approaching. Use when the user is running low on Claude usage quota, mentions hitting limits, or when significant work remains and we should queue it for unattended execution. Proactively suggests queuing remaining work during long coding sessions.
Create custom Task subagents in ~/.claude/agents/. Use when defining new agents for Task tool delegation.
Multi-turn safety persistence evaluation for crisis scenarios. Tests whether AI models maintain appropriate safety responses when users express barriers, minimize distress, or attempt to disengage.
Skill for interacting with the Lucid Client API (multi-agent runtime). The API is hosted in the lucid-client codebase and provides endpoints for managing agents, invoking entrypoints, handling payments, and more. Activate when: user wants to interact with the Lucid Client API, manage agents, invoke agent entrypoints, or work with the multi-agent runtime system.