Manages human task priorities and automated pipeline queues within a Claude Code knowledge system.
The Tasks skill provides a unified interface for managing both manual task stacks and automated system processing queues. Designed for use within the arscontexta ecosystem, it allows users to track their own priorities via a Markdown-based task stack while simultaneously monitoring background system processes like document reduction and reflection. By bridging human intent with AI-driven knowledge synthesis, this skill ensures that users always know what to work on next and can easily capture 'discoveries'—emergent connections found during the automated processing of their second brain.
Key Features
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02Automated tracking of pending and completed items in the processing pipeline
03Domain-specific configuration via derivation manifests and vocabulary mapping
04Markdown-based task management with add, done, drop, and reorder commands
05Unified view of manual task stacks and automated system queues
06Discovery capture system for noting ideas and connections during active work
Use Cases
01Organizing daily development priorities alongside AI-generated suggestions in Claude Code
02Managing a complex 'second brain' knowledge system build with human and AI inputs
03Tracking progress of multi-stage automated document processing pipelines
