snapshot
Capture, list, show, or replay point-in-time workflow snapshots so execution state can be preserved and reproduced
Best use case
snapshot is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
It is a strong fit for teams already working in Codex.
Capture, list, show, or replay point-in-time workflow snapshots so execution state can be preserved and reproduced
Teams using snapshot should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/snapshot/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How snapshot Compares
| Feature / Agent | snapshot | Standard Approach |
|---|---|---|
| Platform Support | Codex | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Capture, list, show, or replay point-in-time workflow snapshots so execution state can be preserved and reproduced
Which AI agents support this skill?
This skill is designed for Codex.
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.
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SKILL.md Source
# Snapshot You capture, list, show, or replay point-in-time workflow snapshots so that any execution state can be preserved and reproduced exactly. ## Triggers Alternate expressions and non-obvious activations (primary phrases are matched automatically from the skill description): - "freeze this state" → capture a snapshot - "show me all snapshots" → list snapshots - "what's in snapshot X" → show snapshot details - "run from that snapshot" → replay a snapshot - "save current state" → capture a snapshot ## Trigger Patterns Reference | Pattern | Example | Action | |---------|---------|--------| | Capture (named) | "snapshot this as baseline-v1" | Run `aiwg snapshot capture --name baseline-v1` | | Capture (anonymous) | "take a snapshot" | Run `aiwg snapshot capture` | | List | "what snapshots exist?" | Run `aiwg snapshot list` | | Show details | "show snapshot abc123" | Run `aiwg snapshot show abc123` | | Replay | "replay snapshot baseline-v1" | Run `aiwg snapshot replay baseline-v1` | ## Behavior When triggered: 1. **Extract intent**: - Which subcommand: `capture`, `list`, `show`, or `replay`? - Is a name or snapshot ID provided? - For replay, does the user want to preview first or go directly? 2. **Run the appropriate subcommand**: ```bash # Capture — anonymous aiwg snapshot capture # Capture — named aiwg snapshot capture --name <name> # List all snapshots aiwg snapshot list # Show details of a specific snapshot aiwg snapshot show <id> # Replay from a snapshot aiwg snapshot replay <id> ``` 3. **Snapshot contents**: Each snapshot records: - AIWG version at capture time - Installed frameworks and their versions - Active execution mode and seed - Artifact checksums (`.aiwg/` directory) - Timestamp and optional name 4. **Storage**: Snapshots are stored in `.aiwg/snapshots/` as JSON files with a short content-addressed ID. 5. **Report the result** — on capture, confirm the snapshot ID and name; on list, summarize available snapshots; on replay, confirm what is being restored. ## Examples ### Example 1: Capture a named snapshot **User**: "Take a snapshot before we start the architecture phase — call it pre-arch" **Extraction**: Capture subcommand, name `pre-arch` **Action**: ```bash aiwg snapshot capture --name pre-arch ``` **Response**: "Snapshot `pre-arch` captured (ID: `snap_a3f92d`). Recorded AIWG v2026.3.15, 2 frameworks, execution mode `strict`, seed 42, and checksums for 14 artifacts. Stored at `.aiwg/snapshots/snap_a3f92d.json`." ### Example 2: List available snapshots **User**: "What snapshots do we have?" **Extraction**: List subcommand **Action**: ```bash aiwg snapshot list ``` **Response**: ``` ID Name Date AIWG Version snap_a3f92d pre-arch 2026-03-28 14:22:05 2026.3.15 snap_c71b4e post-sad 2026-03-29 09:11:42 2026.3.15 snap_00f813 (unnamed) 2026-03-30 16:05:17 2026.3.15 ``` ### Example 3: Show snapshot details **User**: "What's in snapshot post-sad?" **Extraction**: Show subcommand, ID/name `post-sad` **Action**: ```bash aiwg snapshot show post-sad ``` **Response**: "Snapshot `post-sad` (ID: `snap_c71b4e`) captured 2026-03-29 09:11:42. AIWG v2026.3.15, frameworks: sdlc-complete v2026.3.15, ring-methodology v2026.3.10. Execution mode: `strict`, seed: 42. 18 artifacts checksummed." ### Example 4: Replay a snapshot **User**: "Replay from pre-arch" **Extraction**: Replay subcommand, name `pre-arch` **Action**: ```bash aiwg snapshot replay pre-arch ``` **Response**: "Restoring from snapshot `pre-arch` (snap_a3f92d). AIWG v2026.3.15 verified. Execution mode reset to `strict`, seed 42. Artifact state restored. Ready to re-run the workflow from this point." ## Clarification Prompts If the user's intent is ambiguous: - "Should I capture a new snapshot, list existing ones, or replay a specific one?" - "Which snapshot would you like to replay? Run `aiwg snapshot list` to see what's available." ## References - @$AIWG_ROOT/src/cli/handlers/subcommands.ts — Snapshot command handler - @$AIWG_ROOT/docs/cli-reference.md — CLI reference - @$AIWG_ROOT/agentic/code/addons/aiwg-utils/skills/checkpoint/SKILL.md — Lightweight mid-workflow checkpoints (compare to snapshots)
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