发现 Skills

Orchestrates and verifies state transitions of Lifecycle Nodes.

Helps build MCP (Model Context Protocol) servers that expose tools to AI agents like GitHub Copilot. Use this skill when creating MCP tools, configuring MCP clients, debugging MCP connections, or integrating with VS Code Copilot Agent Mode.

Ordo visual editor component development guide. Includes Vue/React component usage, flow diagram integration, WASM calls, rule import/export. Use for frontend integration of rule editor, custom editor UI, extending editor functionality.

Control Philips Hue lights and scenes via the OpenHue CLI.

Analyze job postings, calculate match scores, identify gaps, and create application strategy

Creates custom React hooks for common patterns including data fetching, forms, authentication, local storage, debounce, and more. Use when users request "create custom hook", "React hook for", "useX hook", or "reusable hook".

Implementar y mantener logica de negocio en Supabase Edge Functions (`supabase/functions/**`) con seguridad, validacion y observabilidad basica. Usar cuando el proyecto necesite mover reglas de negocio fuera del cliente y del endpoint Nuxt, ejecutar integraciones externas, proteger secretos o exponer operaciones reutilizables.

Assess target drugs using a multidimensional evidence matrix and support project-level Go/No‑Go decisions. Suitable for evaluating genetic, mechanistic, clinical, competitive, patent, and safety evidence for target–indication relationships to inform Go/No‑Go judgments.

This skill should be used as the unified entry point when the user drops in any input — idea, spec path, file path, PR or issue, stack trace, bug report, or just `/cheese` — and wants the workflow routed. Phrases include "/cheese", "what should I do with this", "help me get started", "route this", "figure out what skill I need", or any opening message that does not already name a downstream skill. Classifies the input into an intent shape, announces the target and reason, and gates dispatch behind explicit user selection so nothing runs silently. After a non-stop selection, immediately dispatches the selected downstream skill with the exact command and context packet. Before any other workflow skill.

This skill should be used right after `/cook` produces green changes, when the user wants the test surface hardened before review or shipping — phrases like "press the changes", "harden this", "check coverage", "strengthen the tests", "are the tests good enough", "press before /age", "/press". Reads the spec + cooked diff, maps changed behavior to tests, finds weak assertions and missing boundaries, adds focused hardening tests, writes a press report to `.cheese/press/<slug>.md`, and prompts `/age` next. Supports `--auto` (propagated from `/cook --auto`) to skip its handoff and chain straight into `/age --auto` when readiness is `ready for /age` or `follow-up recommended`; only `blocked` halts the auto chain. Use even when the user wants to "tighten things up" before review. Do NOT use to add broad new behavior — only corrective fixes that hardening tests force. After `/cook`; before `/age` → `/cure`.

Detects performance and behavioral regressions by comparing agent execution before and after code changes, identifying performance degradation and behavioral changes.

Implements clustering algorithms including K-means, hierarchical clustering, DBSCAN, Gaussian mixture models, and spectral clustering

Enforces core software engineering principles (SOLID, DRY, KISS, separation of concerns) to produce clean, maintainable, and scalable code architecture.

Detects and repairs subtype contract violations where derived classes break caller expectations by weakening preconditions, strengthening postconditions, or introducing side effects — enforcing safe substitutability.

Implements Linux system observability with metrics, logs, and performance profiling for proactive infrastructure management across cloud and on-prem environments.

Systematically audits OpenCode AI skills for quality compliance including trigger effectiveness analysis, content depth assessment, cross-reference integrity verification, and automated stub detection scoring.

Implements an intelligent Skill Sentinel with multi-factor skill selection, fallback chains, and adherence to the 5 Laws of Elegant Defense.

Guides the design and implementation of monolithic architecture, focusing on best practices and pitfalls in monolithic systems.

Implements core software design principles (SOLID, KISS, YAGNI, composition over inheritance, DRY) to guide architecture decisions and prevent structural debt.

The Update Framework (TUF) in a secure software update framework for protecting software deliveries

Implements intelligent Zapier/Make patterns with multi-factor skill selection, fallback chains, and adherence to the Five Laws of Elegant Defense

Trace bugs through call chains using the knowledge graph

Aligns Sales, Marketing, and Customer Success data to optimize the full revenue engine.

Playwright-driven Reddit quote harvester for the "From the Wild" content pipeline. Uses a logged-in browser session to search subreddits, extract pain quotes with full metadata, score them using wild-scan's rubric, and export in wild-scan format. Feeds directly into wild-scan Phase 3+ (scoring, clustering, briefs).