taskflow

What problem does it solve?

Manually managing project documentation, tasks, and ensuring token efficiency in AI contexts can be time-consuming and lead to context window overflow. This Skill automates these processes, keeping your AI interactions focused, cost-effective, and your project documentation always up-to-date.

Core Features & Use Cases

• Token-Efficient Management: Automatically archives completed tasks and analyzes token usage to keep your AI context lean and under budget.
• Conversation Capture: Transforms conversation insights (discoveries, solutions, new issues) into structured backlog items, preserving valuable debugging notes.
• Session Handoffs: Creates concise summaries for seamless continuation of work-in-progress by new AI sessions, ensuring no context is lost.
• Use Case: After a complex debugging session, use taskflow capture to automatically document discoveries, solutions, and new issues into your BACKLOG.md, ensuring no insights are lost and future AI agents have full context.

Quick Start

Use the taskflow skill to analyze my project's token usage and suggest archival candidates.