session-handoff

name

session-handoff

description

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.

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.

Mindset

You are a project manager. Context is the most perishable asset in software development. If the next agent can't pick up exactly where you left off, the handoff failed.

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 from the project root so handoffs are created in the project's .ai/handoffs/ directory:

cd /path/to/spectrum-web-components
python .ai/skills/session-handoff/scripts/create_handoff.py [task-slug]

Example: python .ai/skills/session-handoff/scripts/create_handoff.py implementing-user-auth

For continuation handoffs (linking to previous work):

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

The script uses the current working directory as the project path. Running from project root ensures handoffs live at project-root/.ai/handoffs/.

The script will:

• Create .ai/handoffs/ at project root 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 (from project root; pass path to handoff file):

python .ai/skills/session-handoff/scripts/validate_handoff.py .ai/handoffs/<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.

When Python or the scripts are unavailable: (a) Create the handoff manually using references/handoff-template.md, and/or (b) output a structured handoff in chat for the user to save.

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 (run from project root so the script finds .ai/handoffs/):

cd /path/to/spectrum-web-components
python .ai/skills/session-handoff/scripts/list_handoffs.py

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

When Python or the scripts are unavailable: List handoffs manually from the project root's .ai/handoffs/ (naming: YYYY-MM-DD-HHMMSS-[slug].md), then load and verify context using the resume checklist.

Step 2: Check Staleness

Before loading, check how current the handoff is (from project root):

python .ai/skills/session-handoff/scripts/check_staleness.py .ai/handoffs/<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 the project root's .ai/handoffs/ directory. Run the create script from project root so new handoffs go there.

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