Claude Compaction Restore
SkillFiles & storageUse when a Claude Code session has just compacted, is about to compact, reached context limit, resumed after /compact, or needs to rebuild its working mental model from Claude JSONL transcripts and touched files.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Claude Compaction Restore skill
What this skill tells your AI
The instructions your AI receives, as published by mvschwarz/openrig in packages/daemon/assets/plugins/openrig-core/skills/claude-compaction-restore/SKILL.md and read by ahel’s review.
Use this skill to preserve continuity before Claude Code compacts and to restore continuity after compaction. Follow the active restore request or configured continuity policy. A hook notice identifies available evidence; it does not by itself request a seat restoration.
If You Are About To Compact
Prepare durable continuity before the context boundary.
- Identify the active task, queue item, mission/slice, branch or commit, and current working directory.
- Record the current state: decisions made, files changed, commands/tests run, evidence produced, blockers, caveats, and the next concrete step.
- Create or update a durable mental-model restore map. This map is the main artifact future-you will use to rebuild context after compaction.
- In the restore map, write an ASCII file/folder tree of every path that
mattered to your working mental model during this session. Include:
- the active queue item or mission packet;
- mission notes, progress, decisions, and evidence files;
- Claude memory/project notes you used or wrote, especially when the memory folder is shared by many agents;
- files with active edits or recently inspected source;
- root instructions such as
AGENTS.md,CLAUDE.md, orREADME.md; - as-built docs, codemaps, conventions, skills, and product docs needed before code/review work;
- source files, tests, scripts, UI evidence, screenshots, logs, or reports that shaped your current state.
- For every file or folder in the tree, add a short note explaining why it matters and whether it is required reading after compaction.
- Write any important glue context that is not already on disk into the handoff/restore map. This includes assumptions, partial conclusions, failed paths, and why the listed files fit together.
- In the compaction summary, include the restore map path and the top required reading paths from that map.
If You Just Compacted
Restore from the evidence for this session before relying on remembered task state.
- Inspect the restore request and any named marker, packet, transcript, restore map, or extra instruction file. Check recorded seat/session/transcript identity against the current request, and verify that the referenced packet is readable. A marker path alone does not prove a usable packet; do not substitute another seat's packet or select one only because it is the newest.
- Use the existing packet when usable. Read its
restore-instructions.md,touched-files.md, and any named restore map. A packet already prepared for this session does not need rebuilding merely because compaction occurred. - Fall back when the packet is absent or unusable. Record what is missing or
mismatched. Resolve this skill's installed directory and run its
scripts/restore-from-jsonl.mjswith the matching Claude JSONL transcript and a separate output directory. For a skill installed in the global Claude skill root:
node ~/.claude/skills/claude-compaction-restore/scripts/restore-from-jsonl.mjs /path/to/session.jsonl --out /tmp/claude-compaction-restore
If no transcript was named, identify the current session's transcript first.
The script can discover a transcript from a working directory, but inspect that
selection before relying on it. If the session cannot be identified, report
the missing input instead of reconstructing from an unrelated conversation.
Read the resulting restore-instructions.md and touched-files.md.
4. Inspect the actual packet and transcript sizes before choosing how much to read.
The generated instructions report estimated token cost. State a read budget
and stopping rule that leave room for the task. For a large transcript, begin
with the most recent task-relevant unique narrative; read earlier material when
a specific missing decision or dependency requires it. Report ranges actually
read rather than treating a chosen budget as completed coverage.
5. Use the restore map and touched-file list to identify current task files.
The list is a triage aid, not an exhaustive inventory. Prioritize the active
queue/mission packet, decisions and memory named in the map, files with active
edits, root instructions, and relevant as-built docs or codemaps. Read required
task files in full within the stated budget; record any remaining gaps.
6. Re-establish the task's purpose and operating context from the current project,
mission and seat files. A transcript summary alone does not establish current
scope or obligations. Use the shipped refocusing skill for the path-only
topology/work trace when operating inside OpenRig.
7. Report the read-depth audit below. Once the required context is restored, use
the packet's requested acknowledgment, normally:
restored from packet at <path>; resumed at step <X>
Include the main files actually read in full. If essential context remains missing, report partial restoration and the next recovery action instead of claiming completion.
The packaged PreCompact writer can prepare a packet and a per-seat pending marker; the restore bridge can deliver its pointer once for a matching session. Inspect those actual artifacts. Their creation or delivery is not proof that a provider restored its context, that the files were read, or that task understanding returned.
Required Read-Depth Audit
After the first restore pass, audit yourself before continuing.
- List every file, packet, marker, restore map, instruction file, and source document you were asked to read during restore.
- Mark each item as
FULL,PARTIAL, orNOT_READ. - Distinguish essential current-task context from supplementary history, using the actual restore request and active task.
- Read
PARTIAL/NOT_READitems in full — but to a declared budget with a stopping rule, not unbounded. Prioritize by relevance to the active task; for a large transcript read the most recent unique narrative first (see If You Just Compacted), not front-to-back. - Stop when either every task-relevant item is
FULL, or you reach the budget — a restore that cannot leave room for the work it was restored to do is not a successful restore. "Read everything, never conserve" has no termination condition; that open-endedness is the bug, not the goal. - Report the final read-depth table honestly (
FULL/PARTIAL/NOT_READ, each with a reason) before task work. An honestPARTIALwith its reason is a correct outcome, not a failure — do not claim a completion you did not reach.
Guardrails
- Compaction is survival, not housekeeping — never compact to free space, "lean" a seat, or capture/prepare an agent starter (the
rig agent-imagelibrary). It is lossy (a compacted Claude is confident-but-hollow); compact only when a seat is genuinely near its context limit, with a before/after plan. A starter's value is being functional, not small — see theagent-startersskill. - Do not silently launch fresh after compaction.
- Do not continue from memory when restore evidence exists.
- Do not defer required restore reading until a later user task. The restore is the current task.
- Do not skip root instructions, as-built docs, or codemaps before product code/review work.
- Do not treat the generated touched-file list as exhaustive.
- Do not mark a file
FULLunless you actually read the full file content after compaction. - Do not resume task work until the restore sentinel and read-depth audit are complete.
Failure Modes To Avoid
- Confidently-wrong restoration: claiming restoration after reading only the touched-file list or summary.
- Unreported partial restore: continuing without essential task context or claiming full coverage after a budget-limited read.
- Skipping project instructions: missing
AGENTS.md,CLAUDE.md,README.md, as-built docs, or codemaps that govern the task. - Treating the packet as exhaustive: ignoring mission or workspace files that are important but were not discovered by the script.
- Waiting for the next task: treating restore reading as conditional on a future user assignment instead of completing it immediately.
Signals
- GitHub stars
- 67
- Forks
- 12
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
claude-compaction-restore- Source
- github.com/mvschwarz/openrig