Autonomously diagnose Magento 2 cache issues — FPC bypass, Redis pressure, stale blocks, and invalidation failures — and scaffold custom cache types. Produces a Cache Report with root cause and fix.

Monitor RPC endpoint health and provide automatic failover for reliable blockchain access.

<!--

go-test-coverage

Connect your local machine to a Kubernetes cluster for local development with Signadot — local connect, proxy, traffic override, and traffic recording/inspection. Use when a developer wants to run services locally that participate in cluster traffic, or record/inspect sandbox traffic.

Use when deciding the next sparse-ir-rs release version or checking whether a change set should be patch, minor, or major under Semantic Versioning

Comprehensive guide for creating high-quality specialized agents following v2 architecture patterns. Use this skill when users need to design and implement new agents, understand agent architecture, or learn best practices for agent creation.

Use after any meaningful ntn-sim-core phase/group completion or contract change to determine which SDD, status, validation, README, and todo documents must be updated in the same change set.

Evaluate cross-framework parity for generated components and accessibility metadata. Use when emitter behavior changes or parity regressions are suspected.

Craft high-precision prompts and edit instructions for Nano Banana image workflows, especially when using the local nanobanana MCP tools for generation, editing, character consistency, or multi-image fusion. Use when the task needs structured prompts, reference-role assignment, layout-heavy image specs, typography-heavy images, iterative edit-first refinement, or reliable model/aspect/output-path choices.

Write commit messages to a temporary file and commit with `git commit -F`. Never use `git commit -m`.

Automate browser interactions via the Playwright CLI. Use for web testing, form filling, screenshots, UI verification, and data extraction.

Use when editing beamHO-bench paper profiles, source maps, assumption-backed research parameters, or paper-source registries so schema, profile JSON, sources JSON, and validation coverage stay traceable and synchronized.

Rewrite user requests into clear, precise, and complete AI prompts. Use when a user asks to create, convert, or refine a prompt, or to restate a request as a specification for an AI model.

Component architecture: Terraform root modules, abstract components, component inheritance, versioning, mixins, catalog patterns

**🛡️ Test your AI agent's security posture against adversarial attacks**

Packer orchestration: init/build/validate/inspect/output, machine image building, template management, source management

Create workflow-* skills by composing existing skills into end-to-end chains. Turns a user idea into a workflow_spec.md SSOT (via workflow-brainstorm), discovers available skills locally + from skills.sh, and generates a new workflow-<slug>/ skill package. Use when you want to design a new workflow, chain multiple skills into a flow, or turn scattered atomic skills into a resumable plan-then-confirm workflow.

Use when you need to turn a vague idea into a confirmed design spec before implementation (new feature/component/behavior change). First check project context, then ask one question at a time, provide 2-3 options with trade-offs, finally output design in segments (~200-300 words each) with confirmation after each. Triggers: brainstorm, clarify idea, design spec, refine concept, requirement clarification.

Use when deciding whether a future ntn-sim-core follow-on, especially OMNeT++ / INET / estnet or other external-consumer/backend realism work, should be bootstrapped with OpenSpec instead of the repo's normal SDD/todo flow. Also use when a user explicitly mentions OpenSpec, opsx workflows, or wants a separate change/spec workflow for a new track without replacing existing ntn-sim-core authority.

Execute framework-specific implementation jobs from job bundles (`prompt.md`, `ir.json`, `artifact.json`) and validate outputs package-by-package.

Core principles, persona definitions, and command workflows for the dotfiles project. Use when seeking development guidance, selecting an appropriate expert persona (Architect, Developer, Tester, DevOps, Analyst), or following standard project commands (analyze, implement, design, etc.). Ensures consistency, quality, and adherence to project-wide best practices.

Build or modify a Pi extension. Use this whenever the user wants a custom slash command, extension tool, lifecycle hook, context filtering, session persistence, UI prompt, model/provider integration, or anything placed in ~/.pi/agent/extensions/. This skill is especially relevant when the user says “create a pi extension”, mentions /reload, wants custom command behavior, or needs extension code that uses Pi APIs rather than app code.

>

Guides systematic root-cause debugging. Use when tests fail, builds break, behavior doesn't match expectations, or you encounter any unexpected error. Use when you need a systematic approach to finding and fixing the root cause rather than guessing.

Use when working with scaleinvariance package for multifractal field simulation and analysis - Hurst exponent estimation, fractional Brownian motion (fBm), fractionally integrated flux (multiplicative cascades) (FIF), intermittency analysis, and Generalized Scale Invariance (GSI). Also use for scaling analysis of time series, turbulence data, atmospheric fields, or any task involving self-similar, cascade, or multifractal processes or fields.

Manage Signadot sandboxes, route groups, clusters, resource plugins, jobs, and smart tests using the signadot CLI. Use when a developer or platform engineer needs to create, update, inspect, or delete Signadot resources.

>

Use when you need to pick high-quality Unsplash images for product/design assets (avatars, headshots, portraits, large website backgrounds, and abstract wallpapers) and output real Unsplash URLs plus practical instructions for producing the right resolutions and aspect ratios (1:1, 4:5, 3:4, 16:9, 9:16).

Research a topic thoroughly in this repo and return a structured summary with file references. Use when you need to understand how something works, find patterns across modules, or audit implementations.

Run the repository's standard validation flow quickly and safely. Use when changes are made and you need confidence before commit or push.

Simplify and clarify existing code without changing behavior.

Seed a new runnable template under templates/NNN-slug/ from a short spec by chaining existing skills (intake → ship-faster stages) while keeping it clean and shareable (no secrets, minimal scope). Use when creating a new template quickly.

Use when you need to define or converge a project's visual direction. Scan project documentation to identify intent, then produce a design-system.md (either preserve existing style or pick from 30 presets). Triggers: design system, design spec, UI style, visual style, design tokens, color palette, typography, layout. Flow: scan → intent → (gate) preserve vs preset → deploy design-system.md after confirmation → (default) implement UI/UX per design-system.md (plan first, then execute).

Use when you need to prompt AI for UI like Meng To: design-first, spec-driven, skimmable. Covers prompt structure, constraints, variations, typography/spacing rules, and iteration workflow for consistent UI outputs.

Create comprehensive test scenarios from user stories with test objectives, starting conditions, user roles, step-by-step actions, and expected outcomes. Use when writing QA test cases, creating test plans, defining acceptance tests, or preparing for feature validation.

Autonomously generate a complete, production-ready Magento 2 module from a plain-language spec — all files, directory structure, service contracts, and database schema.

Delegate explanation work to a running iExplain service or local iexplain CLI. Use when another agent or agentic system needs grounded intent summaries, log explanations, or benchmark-specific analysis without re-implementing iExplain profiles, pipelines, or adapters.

workleap-skill-optimizer

Custom CLI commands: command definition in atmos.yaml, arguments, flags, steps, env vars

Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and demos.

Create and apply CSS gradient borders using a pseudo-element mask (the .border-gradient::before technique), including Tailwind-friendly usage and customization of angle, colors, border thickness, and radius. Use when asked for gradient borders, border glow, or the specific mask-composite border gradient snippet.

Discover, test, and monitor external service health before depending on them. Prevents agent failures from unavailable APIs and services.

Tests in real browsers. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data via Chrome DevTools MCP.

Use when implementing authentication with Better Auth in a TypeScript/Next.js app (session strategy, providers, cookies, CSRF, redirects, middleware, and security best practices).

Ship Faster end-to-end workflow for small web apps (default: Next.js 16.1.1): idea/prototype → foundation gate → design-system.md → lightweight guardrails + docs → feature iteration → optional Supabase + Stripe → optional GitHub + Vercel deploy → optional AI-era SEO (sitemap/robots/llms.txt). Resumable, artifact-first under runs/ship-faster/ (or OpenSpec changes/). Trigger: ship/launch/deploy/production-ready MVP.

Use when you need to ship a single PR-sized feature end-to-end (plan -> implement -> verify) with artifacts. Ship core product features quickly in a Next.js codebase: turn a feature idea into an executable plan, implement in PR-sized slices, and keep artifacts under runs/ (or OpenSpec changes/ when available). Supports plan-only mode for early scoping. For prototype UI work, include a demo-ready wow moment (animation/micro-interaction) by default unless user opts out.

Nexus is an autonomous AI agent that earns its own compute budget from DeFi yield (Lido wstETH), funds inference via Bankr LLM gateway, and coordinates 6 specialized sub-agents. Every capability is ex

This document outlines the core skills, technologies, framework knowledge, and architectural rules required to effectively contribute to the TestFlowHub ecosystem.