checkpoint
Save current progress to memory-keeper to prevent work loss.
Best use case
checkpoint is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Save current progress to memory-keeper to prevent work loss.
Save current progress to memory-keeper to prevent work loss.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "checkpoint" skill to help with this workflow task. Context: Save current progress to memory-keeper to prevent work loss.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/checkpoint/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How checkpoint Compares
| Feature / Agent | checkpoint | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Save current progress to memory-keeper to prevent work loss.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Checkpoint Skill Automatically checkpoint current progress to memory-keeper to prevent catastrophic work loss when context is exhausted. ## When to Use - Every 5-10 tool calls during implementation - After completing a significant piece of work - Before starting a large operation - When switching tasks - Before ending a session - When explicitly requested via `/checkpoint` ## Checkpoint Actions ### 1. Gather Current State Collect the following information: - Current task description from todo list - List of files modified this session - Implementation progress (percentage or phase) - Current blockers or issues - Next action to take ### 2. Save to Memory-Keeper ``` context_save(key: "current-task", value: "<task description>", category: "progress", priority: "high") context_save(key: "files-modified", value: "<comma-separated file list>", category: "progress") context_save(key: "implementation-progress", value: "<percentage or phase>", category: "progress") context_save(key: "next-action", value: "<exact next step>", category: "progress", priority: "high") ``` ### 3. Create Named Checkpoint ``` context_checkpoint( name: "checkpoint-<timestamp>", description: "Task: <task>, Progress: <progress>, Files: <count>, Next: <action>" ) ``` ### 4. Prepare for Compaction (if context is large) ``` context_prepare_compaction() ``` ## Checkpoint Frequency Guidelines | Activity | Checkpoint Frequency | |----------|---------------------| | File creation/modification | After every file | | Running tests | After each test run | | Research/exploration | Every 10 tool calls | | Debugging | After each hypothesis tested | | Multi-step implementation | After each step | ## Key Items to Always Save | Key | Description | Priority | |-----|-------------|----------| | `current-task` | What you're currently working on | high | | `files-modified` | All files touched this session | normal | | `implementation-progress` | How far along (%, phase) | normal | | `next-action` | Exact next step to take | high | | `blockers` | Current issues/blockers | high | | `todo-state` | Serialized todo list | normal | ## Checkpoint Output After checkpointing, confirm with: ``` Checkpoint saved: - Task: <current task> - Progress: <progress> - Files modified: <count> - Next action: <next step> ``` ## Recovery Reference If context is lost, use `/recover` to restore state from checkpoints.
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