qmd
Local hybrid search engine for markdown notes, documentation, and codebase knowledge bases to reduce token consumption and improve retrieval efficiency.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
477 skills found
Local hybrid search engine for markdown notes, documentation, and codebase knowledge bases to reduce token consumption and improve retrieval efficiency.
Autonomous pattern detection and skill recommendation engine that monitors project memory, logs, and task lists to evolve your AI agent's capabilities automatically.
Create, alter, and validate Snowflake semantic views using the Snowflake CLI.
Interactive terminal interface for Atlassian Jira that streamlines issue management, sprint tracking, and ticket workflows directly from the command line.
AI-driven web testability assessment using 10 core principles. Evaluates observability, controllability, and stability via Playwright and Vibium to identify testing bottlenecks and improve quality readiness.
Visualize Azure cloud infrastructure, map resource dependencies, and generate architecture diagrams using Mermaid and PlantUML.
A comprehensive toolkit for measuring, auditing, and debugging web performance metrics including Core Web Vitals, loading speed, and interaction latency directly in Chrome DevTools.
Systematic project technology stack detection, framework-specific skill auto-loading, and multi-stack analysis for fullstack projects like React + Go.
Pre-execution security guardrails for AI agents. Validates shell commands and file reads against 400+ security patterns to block destructive operations, credential theft, and unauthorized system access.
A unified Solana development skill hub featuring multi-agent orchestration, progressive skill loading, and deep integrations for Anchor, Token-2022, DeFi protocols, and security auditing.
Safely execute, test, and verify commands discovered in documentation with real output capture, performance tracking, and git-aware safety protocols.
Automates the documentation of solved technical issues using YAML frontmatter, categorized directories, and institutional knowledge indexing for JUCE plugin development.