github-project-management
AI-driven GitHub project management using swarm coordination, automated issue triage, project board synchronization, and intelligent task decomposition for efficient development workflows.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
251 skills found
AI-driven GitHub project management using swarm coordination, automated issue triage, project board synchronization, and intelligent task decomposition for efficient development workflows.
Expert guidance for Logseq plugin development, specifically optimized for the new database architecture, API integration, and property management.
A local RAG semantic memory system using Qdrant and Ollama. Ideal for recalling workspace files, notes, project decisions, and user preferences with high-relevance vector search.
Command-line interface for controlling Bluesound and NAD audio players, enabling multi-room playback, grouping, and volume management.
Execute implementation plans in separate sessions with review checkpoints, ensuring task-by-task verification and robust code quality.
Base ecosystem skill for Refly. Creates, discovers, and runs domain-specific skills, routes user intent to workflows via symlinks, and automates multi-step pipelines via the Refly CLI.
A nested plugin architecture for Claude Code that optimizes context by dynamically loading playbooks, skills, and agents to save over 90% in token usage.
Outputs knowledge logs capturing project structure, implicit rules, and logic gaps during sessions.
Fetch real-time financial signals, transmission-chain reasoning, and market confidence metrics directly from the DeepEar Lite platform.
Business model design and analysis using the Business Model Canvas framework with 9 building blocks.
Ensures adherence to standardized global documentation patterns for technical projects, maintaining consistency across repositories and agent-based workflows.
Normalizes testing defect logs by correcting typos, abbreviations, and ambiguous descriptions based on product-specific codebooks and station validation.