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Found 5,519 Skills
Wave-based parallel scheduling for DAG execution. Manages execution order, resource allocation, and parallelism constraints. Activate on 'schedule dag', 'execution waves', 'parallel scheduling', 'task queue', 'resource allocation'. NOT for building DAGs (use dag-graph-builder) or actual execution (use dag-parallel-executor).
Auto-generates conventional commit messages from git diffs with tiered format enforcement. Analyzes staged changes to produce meaningful commit messages following Conventional Commits specification.
Build trust signals that reduce perceived risk and enable user action. Use when designing landing pages, checkout flows, onboarding experiences, or any conversion point where user hesitation is a barrier.
Spec-driven development framework for ecommerce features. Orchestrates from intent to implementation via structured specs and task breakdown. Triggers on "/spec.plan", "/spec.refine", "/spec.clarify", "/spec.tasks", "/spec.run", "I want to build", "I want to add", "create spec", "feature spec", "new feature", "implement feature".
Master prioritization frameworks, roadmap planning, timeline estimation, and resource allocation. Create executable roadmaps that drive focus and alignment.
Generate crisp, high-quality images with perfect typography and precise geometric layouts using HTML/CSS. Use when creating social cards, diagrams, certificates, UI mockups, code screenshots, or any image requiring sharp text rendering, exact alignment, or vector-like precision. AI excels at designing symmetric, pixel-perfect layouts as HTML rather than generating raster images directly. Supports Tailwind CSS, Google Fonts, icon libraries, and any web-based design resource.
Guide for using Sirv AI Studio (www.sirv.studio), an AI-powered image and video processing platform. Use when working with product images, background removal, image upscaling, AI generation, video creation, batch processing, or e-commerce image workflows. Triggers on mentions of Sirv AI Studio, product photography, background removal, image upscaling, AI image generation, batch image processing, or marketplace optimization. IMPORTANT - If sirv-ai MCP tools are available (sirv_remove_background, sirv_upscale, sirv_generate, etc.), USE THEM directly for image processing tasks instead of telling user to visit the website.
Answers questions about a code repository using source file analysis. Use when the user asks a question about how something works, wants to understand a component, or needs help navigating the codebase.
This skill should be used when auditing a codebase for AI agent readiness, or when guiding improvements to make a codebase work well with agentic coding tools. It applies when users ask to evaluate test coverage, file structure, type system usage, dev environment speed, or automated enforcement -- the five pillars that determine how effectively coding agents can operate in a project. Triggers on "audit my codebase", "make this agent-ready", "improve for AI agents", "agent-friendly", or questions about why agents struggle with a codebase.
Senior Project Manager for enterprise software, SaaS, and digital transformation projects. Specializes in portfolio management, quantitative risk analysis, resource optimization, stakeholder alignment, and executive reporting. Uses advanced methodologies including EMV analysis, Monte Carlo simulation, WSJF prioritization, and multi-dimensional health scoring.
V4.1 Reverse Pricing Calculator, used for profit judgment in cross-border e-commerce Temu product selection. This skill is employed when users need to calculate the net profit of products on the Temu platform, verify if it meets the profit threshold (net profit > ¥5), and conduct reverse pricing analysis. Input the Temu lowest competitor price and 1688 sourcing price, and output the detailed profit calculation process and GO/PASS decision.
Model Context Protocol (MCP) server development and AI/ML integration patterns. Covers MCP server implementation, tool design, resource handling, and LLM integration best practices. Use when developing MCP servers, creating AI tools, integrating with LLMs, or when asking about MCP protocol, prompt engineering, or AI system architecture.