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Found 2,639 Skills
Bitcoin L1 operations — check balances, estimate fees, list UTXOs, transfer BTC, and classify UTXOs as cardinal (safe to spend) or ordinal (contain inscriptions). Data sourced from mempool.space and the Hiro Ordinals API.
Use this skill when building user interfaces that need to look polished, modern, and intentional - not like AI-generated slop. Triggers on UI design tasks including component styling, layout decisions, color choices, typography, spacing, responsive design, dark mode, accessibility, animations, landing pages, onboarding flows, data tables, navigation patterns, and any question about making a UI look professional. Covers CSS, Tailwind, and framework-agnostic design principles.
Search for and add electronic components, modules, and reference designs to a Zener PCB project. Use when designing a board, module, or subsystem and you need to find parts, reusable subcircuits, or reference designs — whether by functional description or specific MPN. Covers `pcb search` (registry:modules, registry:components, web:components) and `pcb new component` for importing web components into a workspace.
Generate and run comprehensive test suites — unit tests, integration tests with real services (testcontainers/docker-compose), and Playwright E2E tests. Analyzes coverage gaps, spawns parallel test-generator agents per tier, runs tests, and heals failures (max 3 iterations). Use when generating tests for existing code, improving coverage after implementation, or creating a full test suite from scratch. Chains naturally after /ork:implement. Do NOT use for verifying/grading existing tests (use /ork:verify) or running tests without generation (use npm test directly).
Web design reference for building production-grade interfaces. Covers layout, typography, color, spacing, shadows, animation, accessibility, responsive design, components, performance, and UX psychology. Use when building UI, reviewing design quality, choosing design tokens, or making any visual design decision.
Product design, feature planning, and technical architecture for new projects. Explores the problem space through deep requirements gathering, suggests creative features, makes architecture decisions, and produces a structured MVP plan with scope boundaries, a future roadmap, and a deliverable tracker. Uses plan mode for deliberate thinking before writing any artifacts. Use when the user says "mvp", "plan a product", "design features", "what should I build", "feature planning", "scope an MVP", or describes a product they want to plan.
Automated CLI-based parallel agent execution — spawn subagents via Gemini CLI, coordinate through MCP Memory, monitor progress, and run verification
Patterns for parallel subagent execution using Task tool with run_in_background. Use when coordinating multiple independent tasks, spawning dynamic subagents, or implementing features that can be parallelized.
Firecrawl produces cleaner markdown than WebFetch, handles JavaScript-heavy pages, and avoids content truncation. This skill should be used when fetching URLs, scraping web pages, converting URLs to markdown, extracting web content, searching the web, crawling sites, mapping URLs, LLM-powered extraction, autonomous data gathering with the Agent API, or fetching AI-generated documentation for GitHub repos via DeepWiki. Provides complete coverage of Firecrawl v2.8.0 API endpoints including parallel agents, spark-1-fast model, and sitemap-only crawling.
Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for live container runtime analysis, mounted secrets, sidecars, namespaces, init containers, entrypoint drift, and route-to-container resolution. Use when the user asks why a live container differs from manifests, where a mounted secret is consumed, how a sidecar or init container changes runtime state, or which route resolves to which live container. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.
A skill that uses GLM-V native grounding capabilities for coordinate conversion, bounding-box visualization, and more. GLM-V native grounding can locate any target specified by the prompt in an image and output relative coordinates normalized to 0-1000 based on image size. Coordinate formats include 2D bounding box (default), 2D points, and 3D bounding box. GLM-V also supports spatiotemporal localization and tracking of multiple prompt-specified targets in videos, outputting 2D bounding boxes per second.
Implement Syncfusion Windows Forms BorderLayout to arrange child controls along borders (North, South, East, West) and center. Use this when working with BorderLayout, positioning controls in border regions, using docking alternatives, or configuring container layout and control spacing in Windows Forms applications.