technical-writing
Produce clear, professional technical documentation, blog posts, and tutorials based on real engineering experience, prioritizing value and actionable insights.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
486 skills found
Produce clear, professional technical documentation, blog posts, and tutorials based on real engineering experience, prioritizing value and actionable insights.
Generate and edit images, diagrams, and infographics using Google's Gemini 3 Pro model. Supports text-to-image, style transformation, and data-accurate visual creation.
An AI-powered daily workflow manager for Obsidian that handles note creation, morning planning, task review, and evening reflection.
Analyze project structures, dependencies, and patterns using parallel agent execution to generate comprehensive context documentation for rapid codebase onboarding and AI-assisted development.
Advanced context engineering system for orchestrating AI agents, memory management, and token optimization to improve long-term persistence and project intelligence.
Design world-class PowerPoint presentations with professional branding, consistent typography, and sophisticated animations. Ideal for pitches, keynotes, and business reports.
Expert assistant for designing and optimizing production-grade Trigger.dev background jobs, AI workflows, and resilient asynchronous task architectures in TypeScript.
Writes, executes, and refines SQL queries, from basic selects to complex multi-table joins, aggregations, and subqueries for data retrieval and reporting.
Unified AI gateway for building full-stack apps and automating tasks. Access 100+ AI models for content generation, web scraping, app deployment, and Stripe payments with a single API key.
Three.js geometry generation: built-in shapes, BufferGeometry, vertex manipulation, custom meshes, and performance-optimized instanced rendering.
Enforces a strict evidence-based debugging workflow using structured observation, hypothesis testing, and causality validation to eliminate speculation in technical investigations.
Evidence-based debugging for Python, Node.js, and Java applications using runtime execution traces and diagnostic MCP tools.