Session handoff
Skill dills122/ai-central/templates/skills/imported/agent-toolkit/session-handoff
Central library for AI coding context: steering files, AGENTS templates, reusable skills, scaffold scripts, and guided setup for new or existing projects.
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Creates comprehensive handoff documents for seamless AI agent session transfers. Triggered when: (1) user requests handoff/memory/context save, (2) context window approaches capacity, (3) major task milestone completed, (4) work session ending, (5) user says 'save state', 'create handoff', 'I need to pause', 'context is getting full', (6) resuming work with 'load handoff', 'resume from', 'continue where we left off'. Proactively suggests handoffs after substantial work (multiple file edits, complex debugging, architecture decisions). Solves long-running agent context exhaustion by enabling fresh agents to continue with zero ambiguity.
SKILL.md
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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:
- Current State Summary - What's happening right now
- Important Context - Critical info the next agent MUST know
- Immediate Next Steps - Clear, actionable first steps
- 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:
- Verify project directory and git branch match
- Check if blockers have been resolved
- Validate assumptions still hold
- Review modified files for conflicts
- 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-fromto 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/
- handoff-template.md - Complete template structure with guidance
- resume-checklist.md - Verification checklist for resuming agents
Gives 0 of the 12 instructions most agent orchestration skills give in ~1.3k tokens
Counted across 742 of the 995 authors here whose files we hold, read 2026-08-06
- run the full test suite after integrating changesin 53 of 742, across 20 files
- reference existing artifacts by path or URLin 52 of 742, across 22 files
- dispatch one agent per independent problem domainin 50 of 742, across 17 files
- verify fixes do not conflictin 45 of 742, across 13 files
- include a suggested skills section in the documentin 45 of 742, across 15 files
- redact sensitive informationin 41 of 742, across 11 files
- save to the temporary directory of the operating systemin 39 of 742, across 9 files
- tailor the document to user-provided focus argumentsin 39 of 742, across 9 files
- spot check agent changes for systematic errorsin 34 of 742, across 7 files
- write a handoff document summarising the current conversationin 31 of 742, across 6 files
- assign each agent a specific scopein 23 of 742, across 8 files
- provide specific scope and clear goalin 23 of 742, across 5 files
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.