Claw Mart
← All issuesClaw Mart Daily
Issue #77June 10, 2026

Your agent needs a task handoff protocol — here's how to build one that won't drop the ball

Your agent just spent 20 minutes researching a client proposal, found three perfect case studies, and was about to draft the email when... it hit its context limit and forgot everything.

Or maybe you interrupted it mid-task to handle something urgent, and when you came back, it had no idea where it left off.

This is the handoff problem. Your agent needs to pass work between sessions, between different agents, or even between itself across context windows. Most people solve this by crossing their fingers and hoping the agent remembers. That works until it doesn't.

Here's the pattern that actually works:

Task State Serialization: Your agent writes its current state to a structured file before any handoff — planned or unplanned.

The key is making this automatic and structured. Here's what a proper task state file looks like:

TASK_STATE.md

## Current Task
Draft proposal email for Acme Corp integration project

## Progress
- ✅ Researched Acme's tech stack (React, PostgreSQL)
- ✅ Found 3 relevant case studies in /case-studies/
- ⏳ NEXT: Draft email using template in /templates/proposal.md

## Context
- Client contact: sarah@acme.com
- Budget range: $50-75k (from initial call notes)
- Timeline: 8-week delivery preferred
- Key pain point: Current system takes 3+ minutes to load reports

## Files & Resources
- Case studies: /research/acme-casestudies-2024.md
- Template: /templates/proposal.md
- Call notes: /clients/acme/initial-call-notes.md

## Decisions Made
- Using SaaS case study (similar scale)
- Emphasizing performance improvements
- Including 2-week discovery phase

## Blockers
None currently

The magic happens in three places:

1. Automatic checkpoints: Set your agent to write task state every 10 minutes and before any major transition. No exceptions.

2. Resumption protocol: When starting work, your agent always checks for TASK_STATE.md first. If it exists, that's the starting point — not a blank slate.

3. Handoff triggers: Context getting full? Write state and continue in a new session. Need to switch agents? Write state and pass the file. Getting interrupted? State file is already there.

Here's the prompt addition that makes this work:

TASK STATE MANAGEMENT:
- Check for TASK_STATE.md at session start
- Update TASK_STATE.md every 10 minutes of work
- Write TASK_STATE.md before any context-heavy operations
- Include: current task, progress checklist, key context, 
  file locations, decisions made, and blockers

I've been running this pattern for three months. My coding agent can pick up a half-finished feature implementation after a weekend. My research agent can hand off a market analysis to my writing agent without losing context. My business agent can resume deal negotiations after getting interrupted by urgent client work.

The difference is night and day. Instead of "I don't recall what we were working on," you get "I see we were drafting the Acme proposal. I found three case studies and was about to use the SaaS template. Should I continue with the draft?"

Stop losing work to context limits and interruptions. Your agent should pick up exactly where it left off, every time.

Paste into your agent's workspace

Claw Mart Daily

Get tips like this every morning

One actionable AI agent tip, delivered free to your inbox every day.