dev-workflow
Full-stack SDLC agent workflow managing the entire production lifecycle from intake and planning to automated testing, CI/CD, and infrastructure deployment using MCP tools.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
615 skills found
Full-stack SDLC agent workflow managing the entire production lifecycle from intake and planning to automated testing, CI/CD, and infrastructure deployment using MCP tools.
Plan mode on steroids. Push engineers to think with a product mindset before building with structured intake and concrete technical options.
Virtual machine development expert focusing on bytecode design, stack-based/register-based VM implementation, memory management, and garbage collection.
Perform comprehensive code reviews and generate QA test plans for Storyblok projects, ensuring quality, security, and adherence to best practices.
Search and execute dynamic external tools via the QVeris API for real-time data retrieval, stock market analysis, and web-based tasks.
Development CLI for the Multigres project: automate unit tests, integration tests, and environment coordination for Vitess-for-Postgres.
Orchestrate parallel Claude Code worker swarms with protocol-based behavioral governance for complex features, multi-step refactors, and long-running autonomous coding sessions.
A Svelte 5 testing expert using vitest-browser-svelte and Playwright. Provides patterns for unit, SSR, and E2E tests, plus a CLI tool for AI assistants to fetch testing patterns.
A deep reasoning protocol that ensures systematic analysis, multi-hypothesis generation, and rigorous verification for complex architectural, debugging, and high-stakes tasks.
Control and monitor Xiaomi Mijia smart home devices including status switching, device discovery, automation scenes, and environmental statistics.
Export, write, and manage Feishu/Lark documents, spreadsheets, and wikis. Converts cloud content to Markdown for AI agents and automation workflows.
Python toolkit for mass spectrometry data processing. Enables spectral file importing (mzML, MGF, MSP), metadata harmonization, peak filtering, and calculating spectral similarity scores (cosine, modified cosine) for metabolomics.