數據與 AI

OPA resource governance policies enforcing CPU/memory limits, ResourceQuota compliance, LimitRange validation, and storage constraints.

Systematically diagnoses and fixes failures through hypothesis-driven investigation. Auto-activates when user reports something broken, failing, erroring, not working, crashed, or buggy. Spawns debugger agent for binary search isolation and minimal reproduction.

Use when creating or editing skills, before deployment, to verify they work under pressure and resist rationalization - applies RED-GREEN-REFACTOR cycle to process documentation by running baseline without skill, writing to address failures, iterating to close loopholes

Discover and analyze lien positions from AcclaimWeb and RealTDM to detect HOA foreclosures and senior mortgage survival

Automated release coordination and deployment with swarm orchestration for seamless version management, testing, and deployment across multiple packages. Use for release pipelines, version coordination, deployment orchestration, and release documentation.

Follow consistent project structure, version control practices, environment configuration, code review processes, and development conventions across the entire application. Use this skill when organizing project files and directories, when writing commit messages or creating pull requests, when managing environment variables and configuration, when participating in code reviews, when defining testing requirements, when using feature flags, when maintaining changelogs, when documenting setup instructions, or when establishing consistent development practices across the team.

Use when creating or developing, before writing code or implementation plans - refines rough ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental validation. Don't use during clear 'mechanical' processes

Use when writing Rails tests - enforces fixtures-only, integration-style controller tests, Current context setup, simple naming, and Minitest syntax

Process large documents (200+ pages) with structure preservation, intelligent parsing, and memory-efficient handling. Use when working with complex formatted documents, multi-level hierarchies, or when you need to extract structured data from large files like PDFs, DOCX, or text files.

Extract and analyze security controls from OSCAL catalogs, profiles, and SSPs. Use this skill to get detailed information about control hierarchies, statements, parameters, and implementation status for compliance analysis.

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. Provides intelligent header detection and semantic column mapping for robust data import.

Analyze training patterns, performance, and physiological data using advanced computational models.AUTO-ACTIVATES when user asks about:- Training status/progress ("How am I doing?", "How's my training?")- Load/overtraining ("Am I overtraining?", "Is my load too high?")- Performance questions ("Why did I fade?", "What's limiting me?")- Specific run analysis ("Why was my HR high?", "What happened yesterday?")- Race readiness ("Am I ready?", "Will I make my goal?")- Physiological zones ("What are my zones?", "What's my threshold?")- Recovery/freshness ("Should I run today?", "Am I recovered?")- Patterns/causation ("What's causing...", "What predicts my best runs?")PROACTIVELY WARNS when detecting:- ACWR > 1.3 (load spike)- TSB < -25 (fatigue accumulation)- Correlation shifts (relationship changes)- Form breakpoints earlier than usual- Recovery decline between intervals

Computational methods for statistical inference and optimization

Implements SEO best practices including meta tags, structured data, sitemaps, and search optimization. Use when improving search visibility, adding meta tags, creating sitemaps, or implementing structured data. Triggers on SEO requests, meta tag additions, or search optimization needs.

Environment/config conventions (env vars, defaults, validation, CI/local differences). Use when adding config or diagnosing env-related failures.

Implement SQLite database patterns using the database.py interface with complete SQL isolation. MANDATORY for all database projects. Use when working with databases, data persistence, or SQLite.

Test-Driven Development workflows including red-green-refactor cycle, test-first implementation, outside-in vs inside-out testing, TDD for debugging, and TDD for refactoring. Use when implementing new features, refactoring existing code, using tests to drive design, or debugging with failing tests.

Generate forms using base-joy Connected components and react-hook-form. Use when creating a form, adding form fields, connecting inputs to react-hook-form, implementing validation, or building data entry interfaces.

Generate compelling lead magnet concepts that build lists and convert to paid offers. Use when someone needs top-of-funnel ideas, wants to grow their email list, or asks what should I give away for free. Triggers on: lead magnet ideas for X, how do I build my list, what freebie should I create, top of funnel for X, opt-in ideas, grow my email list. Outputs 3-5 lead magnet concepts with hooks, formats, and clear bridges to the paid offer.

Generate realistic JSON API mock response files with proper data types, nested structures, and configurable record counts. Triggers on "create mock API response", "generate JSON mock data", "fake API data for", "mock endpoint response".