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Found 5,557 Skills
This skill should be used when comparing Lisa's source templates against a target project's implementation to identify drift. It validates the Lisa directory, detects project types, reads the manifest, compares files, categorizes changes, and offers to adopt improvements back into Lisa. This is the inverse of lisa:review-implementation.
Security audit enforcement for AI agents. Automated security scans and health verification.
Use when developing business strategy (market entry, product launch, geographic expansion, M&A, turnaround), conducting competitive analysis (profiling competitors, assessing competitive threats, Porter's 5 Forces, identifying differentiation), applying strategic frameworks (Good Strategy kernel with diagnosis/guiding policy/coherent actions, SWOT, Blue Ocean Strategy, Playing to Win where-to-play/how-to-win, Value Chain Analysis, BCG Matrix), making strategic decisions under constraints (build vs buy, pricing strategy, market positioning, business model choices), planning strategic initiatives (annual planning, OKRs, roadmaps), evaluating competitive positioning (moats, sustainable advantages, differentiation vs cost leadership), or when user mentions "strategy", "competitive analysis", "Porter's 5 Forces", "SWOT", "market positioning", "strategic planning", "competitive landscape", or "strategic frameworks".
SmartACE (Agentic Context Engineering) workflow engine with MCP-B (Master Client Bridge) and AMUM-QCI-ETHIC module. Dual database architecture using DuckDB (analytics) + SurrealDB (graph). Uses Blender 5.0 (bpy) and UE5 Remote Control. Use when (1) MCP-B agent-to-agent communication (INQC protocol), (2) AMUM 3→6→9 progressive alignment, (3) QCI quantum coherence states, (4) ETHIC principles enforcement (Marcel/Anthropic/EU AI Act), (5) SurrealDB graph relationships, (6) DuckDB SQL workflows, (7) ML inference with infera/vss, (8) Blender 5.0 headless processing, (9) UE5 scene control, (10) DuckLake time travel.
STRICT pixel-perfect Figma to Storybook workflow with ENFORCED extraction and iterative component implementation. MANDATORY: Extract exact design → Implement → Iterate until perfect → Move to next. NO shortcuts, NO assumptions, NO batch processing. Use when implementing Figma designs as Storybook components with 100% accuracy requirement.
Enforces strict use of Chinese in all interactions, code comments, and documentation generation, in compliance with advanced technical writing standards. Enforces strict adherence to the Chinese language in all interactions, code comments, and documentation with high-quality technical writing standards.
Scaffold and automate Grafana plugin projects using @grafana/create-plugin. Use when creating panel plugins, data source plugins, app plugins, or backend plugins. Handles project scaffolding, Docker dev environment setup, and plugin configuration.
Research MQL5 documentation (Japanese and English only) for MQL5 creation/editing issues, compile errors, or API questions. Use when users ask to look up docs, interpret MQL5 errors, or confirm correct language usage. Sources limited to https://www.mql5.com/ja/docs and https://www.mql5.com/en/docs.
Expert patterns for Godot AutoLoad (singleton) architecture including global state management, scene transitions, signal-based communication, dependency injection, autoload initialization order, and anti-patterns to avoid. Use for game managers, save systems, audio controllers, or cross-scene resources. Trigger keywords: AutoLoad, singleton, GameManager, SceneTransitioner, SaveManager, global_state, autoload_order, signal_bus, dependency_injection.
Use when automating browser interactions via CLI, filling forms, taking screenshots, scraping pages, or asking about "agent-browser", "browser automation", "headless browser", "web scraping", "form filling", "Vercel browser"
Fast in-process analytical database for SQL queries on DataFrames, CSV, Parquet, JSON files, and more. Use when user wants to perform SQL analytics on data files or Python DataFrames (pandas, Polars), run complex aggregations, joins, or window functions, or query external data sources without loading into memory. Best for analytical workloads, OLAP queries, and data exploration.
NestJS best practices, module architecture, DTOs, Guards, Interceptors, and common patterns. Use when building or reviewing NestJS backend services.