quality-fixer
Automatically apply safe quality fixes including formatting (Black, isort), linting (Ruff auto-fixes), and resolving formatter conflicts to maintain Python code quality.
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519 skills found
Automatically apply safe quality fixes including formatting (Black, isort), linting (Ruff auto-fixes), and resolving formatter conflicts to maintain Python code quality.
PostgreSQL schema and migration expert for Diddit. Manages idempotent SQL files, tables, indexes, and constraints following strict camelCase conventions and transactional safety.
Intelligent strategic planning and requirements gathering with multi-perspective consensus loops and structured deliberation.
A microworld operating system for LLM-based agent living memory, transforming filesystems into navigable rooms and code into habitable worlds.
Automatically detect code changes and suggest documentation updates. Keeps READMEs, API specs, and configuration guides in sync with your implementation.
Framework for high-performance computational fluid dynamics (CFD) simulations, supporting Navier-Stokes, shallow water, and stratified flows using pseudospectral methods and MPI parallelization.
Initiates automated reverse engineering by discovering codebase architecture, layers, and technology stacks to facilitate system modernization or documentation.
Automated Vercel production deployment agent that fetches logs via MCP, identifies build errors, applies fixes, and retries until success.
VVM (Vibe Virtual Machine) is a language for agentic programs where the LLM acts as the runtime. Orchestrate multi-agent workflows, manage state, and build resilient AI pipelines.
Open-source infrastructure for reliable, multi-destination event delivery. Route webhooks to HTTP, SQS, RabbitMQ, Pub/Sub, EventBridge, or Kafka with built-in retries and observability.
Home Assistant OS (HAOS) operations skill for agents. Features read-only diagnostics, automation design, health auditing, and safety-first configuration management.
A Notion-based tracking system for tweet performance to enable data-driven content experimentation using reinforcement learning principles.