moai-workflow-worktree
Git worktree management for isolated parallel development, featuring automatic branch registration and seamless MoAI-ADK workflow integration.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
542 skills found
Git worktree management for isolated parallel development, featuring automatic branch registration and seamless MoAI-ADK workflow integration.
Persistent state management and workflow analytics using DuckDB for task dependency tracking, historical metrics, and context checkpointing.
Ziwei Doushu charting and layered interpretation engine. Analyzes natal, yearly, monthly, and daily horoscopes using structured data, offering systematic, evidence-based astrological insights.
Scaffold complex, multi-step coding tasks into actionable implementation plans and execute them autonomously using a Claude-driven bash loop.
Expert-level guidance for ffuf web fuzzing, enabling automated discovery of hidden directories, files, parameters, and vulnerabilities during penetration testing.
A RAG-based AI solver for high school Chinese GSAT exams, featuring structured knowledge retrieval, reasoning templates, and explainable AI outputs.
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.
Mutation testing patterns for JS/TS using Stryker. Analyze branch code to find weak or missing tests, verify test effectiveness, and strengthen Node.js test suites.
A guide for building high-quality MCP (Model Context Protocol) servers in Python or TypeScript to integrate external APIs and services into LLM workflows.
Map the attack surface of smart contract codebases by identifying and categorizing state-changing entry points.
Run OpenResponses API compliance tests to validate schema adherence, streaming responses, and endpoint reliability for LobeHub integrations.
Perform cohort analysis on user engagement data. Identify retention trends, feature adoption rates, churn patterns, and generate actionable research recommendations through quantitative data analysis.