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Session Handoff DOCX

Generates structured handoff documents to preserve AI agent context for future sessions and provides workflows to resume work from these saved states. It handles the creation, validation, and chaining of context files to prevent information loss during long-running tasks.

3 uses this weeksource softaworkslicence MIT
Quality gate: FAIL · better answers · measured 2026-10-24
Blind-judged against the bare model on 2 requests: average lift -21.0 points (specificity, structure, method, fit).
won 0/2, lift -21.0, tokens ×226.61
Security scan: clean · 2026-10-24 · 12 files · ran in sandbox
no network calls, shell tricks, credential access or instruction tampering found in its files.

Try asking

Say it in your own words; the assistant finds this recipe by itself. Examples:

“Gem den nuværende session, så jeg kan genoptage arbejdet på API'et i morgen.”
“Mit kontekstvindue er næsten fyldt, så lav en overleveringsdokument for den pågående fejlfinding.”
“Genoptag arbejdet fra den overleveringsfil, vi lavede i går til database-migrationen.”
“Save the current state of the authentication module implementation so I can continue tomorrow.”
“My context window is almost full, please create a handoff document for the current debugging session.”
“Resume work from the handoff file created yesterday for the database migration.”
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Good for

context-managementsession-handoffstate-persistenceai-agentdocumentationworkflow-continuitymemory-saveresume-work

Not for

Do not use this skill for general project documentation, README generation, or standard code refactoring tasks. It is not intended for simple chat history exports or basic note-taking that does not involve structured agent context transfer.

Details

When it is the right choice

Use this skill when the user explicitly requests to save the current session state, pause work, or create a handoff document. It is also appropriate when the context window is nearing capacity or after completing a major milestone that requires preserving complex decisions. Additionally, use it when the user wants to resume previous work by loading an existing handoff file.

The full recipe the assistant reads

Handoff

Creates comprehensive handoff documents that enable fresh AI agents to seamlessly continue work with zero ambiguity. Solves the long-running agent context exhaustion problem.

Mode Selection

Determine which mode applies:

Creating a handoff? User wants to save current state, pause work, or context is getting full. - Follow: CREATE Workflow below

Resuming from a handoff? User wants to continue previous work, load context, or mentions an existing handoff. - Follow: RESUME Workflow below

Proactive suggestion? After substantial work (5+ file edits, complex debugging, major decisions), suggest:

"We've made significant progress. Consider creating a handoff document to preserve this context for future sessions. Say 'create handoff' when ready."

CREATE Workflow

Step 1: Generate Scaffold

Run the smart scaffold script to create a pre-filled handoff document:

python scripts/create_handoff.py [task-slug]

Example: python scripts/create_handoff.py implementing-user-auth

For continuation handoffs (linking to previous work):

python scripts/create_handoff.py "auth-part-2" --continues-from 2024-01-15-auth.md

The script will: - Create .claude/handoffs/ directory if needed - Generate timestamped filename - Pre-fill: timestamp, project path, git branch, recent commits, modified files - Add handoff chain links if continuing from previous - Output file path for editing

Step 2: Complete the Handoff Document

Open the generated file and fill in all [TODO: ...] sections. Prioritize these sections:

  1. Current State Summary - What's happening right now
  2. Important Context - Critical info the next agent MUST know
  3. Immediate Next Steps - Clear, actionable first steps
  4. Decisions Made - Choices with rationale (not just outcomes)

Use the template structure in references/handoff-template.md for guidance.

Step 3: Validate the Handoff

Run the validation script to check completeness and security:

python scripts/validate_handoff.py <handoff-file>

The validator checks: - [ ] No [TODO: ...] placeholders remaining - [ ] Required sections present and populated - [ ] No potential secrets detected (API keys, passwords, tokens) - [ ] Referenced files exist - [ ] Quality score (0-100)

Do not finalize a handoff with secrets detected or score below 70.

Step 4: Confirm Handoff

Report to user: - Handoff file location - Validation score and any warnings - Summary of captured context - First action item for next session

RESUME Workflow

Step 1: Find Available Handoffs

List handoffs in the current project:

python scripts/list_handoffs.py

This shows all handoffs with dates, titles, and completion status.

Step 2: Check Staleness

Before loading, check how current the handoff is:

python scripts/check_staleness.py <handoff-file>

Staleness levels: - FRESH: Safe to resume - minimal changes since handoff - SLIGHTLY_STALE: Review changes, then resume - STALE: Verify context carefully before resuming - VERY_STALE: Consider creating a fresh handoff

The script checks: - Time since handoff was created - Git commits since handoff - Files changed since handoff - Branch divergence - Missing referenced files

Step 3: Load the Handoff

Read the relevant handoff document completely before taking any action.

If handoff is part of a chain (has "Continues from" link), also read the linked previous handoff for full context.

Step 4: Verify Context

Follow the checklist in references/resume-checklist.md:

  1. Verify project directory and git branch match
  2. Check if blockers have been resolved
  3. Validate assumptions still hold
  4. Review modified files for conflicts
  5. Check environment state

Step 5: Begin Work

Start with "Immediate Next Steps" item #1 from the handoff document.

Reference these sections as you work: - "Critical Files" for important locations - "Key Patterns Discovered" for conventions to follow - "Potential Gotchas" to avoid known issues

Step 6: Update or Chain Handoffs

As you work: - Mark completed items in "Pending Work" - Add new discoveries to relevant sections - For long sessions: create a new handoff with --continues-from to chain them

Handoff Chaining

For long-running projects, chain handoffs together to maintain context lineage:

handoff-1.md (initial work)
    ↓
handoff-2.md --continues-from handoff-1.md
    ↓
handoff-3.md --continues-from handoff-2.md

Each handoff in the chain: - Links to its predecessor - Can mark older handoffs as superseded - Provides context breadcrumbs for new agents

When resuming from a chain, read the most recent handoff first, then reference predecessors as needed.

Storage Location

Handoffs are stored in: .claude/handoffs/

Naming convention: YYYY-MM-DD-HHMMSS-[slug].md

Example: 2024-01-15-143022-implementing-auth.md

Resources

scripts/

Script Purpose
create_handoff.py [slug] [--continues-from <file>] Generate new handoff with smart scaffolding
list_handoffs.py [path] List available handoffs in a project
validate_handoff.py <file> Check completeness, quality, and security
check_staleness.py <file> Assess if handoff context is still current

references/

Files in this skill (13)
  • LICENSE
  • README.md
  • SKILL.md
  • evals/model-expectations.md
  • evals/results-opus-baseline.md
  • evals/setup_test_env.py
  • evals/test-scenarios.md
  • references/handoff-template.md
  • references/resume-checklist.md
  • scripts/check_staleness.py
  • scripts/create_handoff.py
  • scripts/list_handoffs.py
  • scripts/validate_handoff.py
Where it comes from

Vendored from softaworks/agent-toolkit, commit 3027f20f3181, path skills/session-handoff, licence MIT. The upstream licence file ships inside the skill.