Loads and manages essential project context for Conductor workflows while optimizing token usage.
The Context Loader skill streamlines the initial phase of AI-driven development by efficiently gathering project-specific information for Conductor's context-driven workflow. It leverages a prioritized loading protocol that scans for critical files like product visions, tech stacks, and track specifications while strictly adhering to .claudeignore and .gitignore rules. By automating the discovery and summarization of project state, it ensures that Evaluate-Loop agents always have an accurate understanding of current tasks and architecture without consuming excessive tokens or exceeding context limits.
Key Features
01Tiered file prioritization for manifests, specs, and development plans
022 GitHub stars
03Automated project status summarization including pending and completed tasks
04Intelligent large file handling with head/tail summary reading
05Token-optimized file discovery using Git and ignore rules
06Seamless integration with Conductor's Evaluate-Loop agents
Use Cases
01Initializing a new development track or feature implementation
02Syncing project state and task status across different AI coding sessions
03Analyzing project structure and tech stacks without manual file exploration
