taskflow

Manage task files and token usage with status, compact, resume, and list commands.

Updated Nov 20, 2025
One-click install
npx skills add https://github.com/ianpojman/claude-skills --skill taskflow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: taskflow
Source: https://github.com/ianpojman/claude-skills/tree/main/taskflow
Command: npx skills add https://github.com/ianpojman/claude-skills --skill taskflow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

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.

Frequently Asked Questions about taskflow

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I minimize token usage in AI project management?

Token-efficient management archives completed tasks and analyzes context usage to keep your AI interactions under budget. Use taskflow to automatically track and reduce token consumption across documentation, backlog items, and session handoffs, ensuring lean, cost-effective workflows.

How do I capture project insights into a structured task backlog?

Use `taskflow capture` to transform conversation discoveries, solutions, and new issues directly into your BACKLOG.md file. This preserves debugging notes and context so future AI sessions have complete information without manual documentation overhead.

Can I hand off work-in-progress between AI sessions without losing context?

Yes. Taskflow creates concise session summaries and filename-referenced messaging that guide cross-agent handoffs. Use `taskflow resume` to load ACTIVE.md and per-task detail files, ensuring seamless continuation with explicit context transfer.

What's the best way to manage project documentation and token budget together?

Combine automated task archival with token analysis to keep project documentation synchronized and your context window under control. Taskflow handles status checks, backlog exploration, and on-demand resume workflows with token-aware session management commands.

When should I use taskflow for documentation and task management?

Use taskflow during session startup for context setup, after complex debugging to capture discoveries, or when switching between AI agents to preserve work-in-progress. It's essential for projects where token efficiency and documentation accuracy matter.