1.6 KiB
1.6 KiB
description, argument-hint
| description | argument-hint |
|---|---|
| Load saved workflow state from memory and continue from checkpoint | [memory-file] |
Load saved workflow state from Serena MCP memory and continue from checkpoint.
Usage: /cc:resume <memory-file>
Example: /cc:resume 2025-11-20-user-auth-execution.md
Prerequisites:
- Valid memory file exists:
YYYY-MM-DD-<feature>-<stage>.md - Memory has required frontmatter metadata
What this does:
Load & Parse:
- Read memory file from Serena MCP
- Parse frontmatter (status, type, branch)
- Load full content into conversation context
Analyze Progress:
- Based on type (research, planning, execution, complete)
- Check status (in-progress, complete, blocked)
- Determine what's done vs. remaining
Present Assessment:
Loaded: ${filename}
Status: ${status}
Branch: ${branch}
Last updated: ${date}
${stage-specific-summary}
Next step in crispy workflow: ${recommended-next-step}
Options:
A) ${primary-next-action}
B) ${alternative-action}
C) ${another-alternative}
D) Skip to different workflow step
Stage-Specific Options:
From research.md:
- A) Write plan with research context
- B) Re-run specific research subagent
- C) Do additional research
From planning.md:
- A) Continue writing plan
- B) Review draft with plan-review
- C) Start over with new brainstorm
From execution.md:
- A) Continue execution from current task
- B) Review completed work
- C) Adjust remaining tasks
From complete.md:
- A) Create PR
- B) Make additional changes
- C) Review implementation
Flexible Continuation:
- User can continue crispy workflow
- Or run any individual command
- Context fully restored