claude-compaction-restore — Claude Code skill: rebuild a session
Keeps the connections between files and decisions alive across context compaction: write a restore map before the squeeze, read it back after and rebuild the picture.
npx skills add mvschwarz/openrig --skill claude-compaction-restore -a claude-codeWhat claude-compaction-restore does
Compaction keeps facts and drops connections. File names, row ids and decisions survive as loose items; what disappears is the web between them — why a file matters, what depends on what, what you were about to do next. This skill covers that gap. Before compacting, you write a restore map: a short summary plus the links between things already on disk.
The map points at what exists rather than copying it: the session JSONL transcript, the restore packet written by the PreCompact hook, queue rows, mission files such as SPEC.md and NOTES.md. Reasons for decisions, rejected options and the timeline of what came before and what comes next live only in your head, so those are what you actually write down. After compaction the seat reads its own ranked reading list in order and rebuilds the picture before acting.
Two restore classes exist: default, roughly 100k of real context, and high-context for orchestrators and planners, up to 200k. The budgets assume a window of about 1M tokens; on a smaller window they scale to about 10% and 20%. File size is a poor guide to the cost — in OpenRig's own runs real context grew 1.7 to 2 times the bytes ÷ 4 estimate. Rank to about 50k of bytes ÷ 4 for the first tier and check actual usage with rig compact-plan --json. The skill leans on rig commands and the OpenRig layout; without them the map and the recap file have nothing to hook into.
What it helps with
- rebuild the links between files and decisions after compaction
- write a restore map before the context limit hits
- figure out where a long-running session stopped and what comes next
- rank sources by importance instead of reading the whole transcript
- publish a seat recap so a stale one is not served as current
Example prompts for the agent
- the session is about to compact, write the restore map from the preparation request
- read your own restore map and rebuild the picture before acting
- check real context usage with
rig compact-plan --json
How to install claude-compaction-restore
1Skills CLI (Vercel)
npx skills add mvschwarz/openrig --skill claude-compaction-restore -a claude-code2Manually: put the files in place
~/.claude/skills/claude-compaction-restore/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/claude-compaction-restore/
1Skills CLI (Vercel)
npx skills add mvschwarz/openrig --skill claude-compaction-restore -a codex2Manually: put the files in place
.agents/skills/claude-compaction-restore/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add mvschwarz/openrig --skill claude-compaction-restore -a cursor2Manually: put the files in place
.cursor/skills/claude-compaction-restore/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install mvschwarz/openrig claude-compaction-restore2Manually: put the files in place
.github/skills/claude-compaction-restore/SKILL.md1Skills CLI (Vercel)
npx skills add mvschwarz/openrig --skill claude-compaction-restore -a gemini-cli2Platform CLI
gemini skills install https://github.com/mvschwarz/openrig --path packages/daemon/assets/plugins/openrig-core/skills/claude-compaction-restoreManually: put the files in place
.devin/skills/claude-compaction-restore/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add mvschwarz/openrig --skill claude-compaction-restore -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about claude-compaction-restore
How do I install claude-compaction-restore in Claude?
Run npx skills add mvschwarz/openrig --skill claude-compaction-restore -a claude-code. The skill file then sits at ~/.claude/skills/claude-compaction-restore/SKILL.md.
What does claude-compaction-restore do?
It has the session write a restore map of connections between files, decisions and plans before compaction, then read that map back afterwards to rebuild its working picture before acting.
What does the skill need to work?
The rig commands and the OpenRig layout: the map goes to the path named in the preparation request, and the recap is published with rig context recap-write. Restore budgets assume a window of about 1M tokens and scale down on smaller ones.
Source text
SKILL.md · Apache-2.0
---
name: claude-compaction-restore
description: Use when a Claude Code session is about to compact, has just compacted, reached its context limit, resumed after /compact, or must rebuild its working picture of a long-running seat from its own restore map, its JSONL transcript and the files it touched.
metadata:
openrig:
sibling_skills:
- session-compaction-and-restore
- agent-startup-and-context-ingestion
- agent-starters
- session-source-fork
- seat-continuity-and-handover
---
# Claude Compaction Restore
Compaction keeps facts and loses connections. After a compaction you still know file names, row ids and
decisions as items. What you lose is the web between them: why a file matters, what depends on what, which
decision produced which artifact, what you were about to do next, and how this window relates to the ones
before it. Seats whose value is a wide, long-running picture (planners, orchestrators, reviewers holding a
standard) lose the most.
This skill keeps that picture alive across compactions. Before compacting, you write a **restore map**: a
short summary plus the connections between things that already exist on disk. After compacting, you
re-enter the world, read your own map, and rebuild the picture before acting. Over several compactions the
maps chain into one continuous record: a global context window that outlives any single session.
The previous version of this skill is kept at `reference/SKILL-v1.md` for comparison.
## What survives, and what you write
**Already on disk; point to it, don't copy it:**
- your session JSONL at `~/.claude/projects/<cwd-slug>/<session-uuid>.jsonl` (the post-compaction restore
request names the exact path). It holds every message and tool call you made, in order. It does not hold
your reasoning;
- the restore packet the PreCompact hook writes (transcript extract, touched-file triage);
- queue rows and their transitions, mission files (`SPEC.md`, `NOTES.md`, `PROGRESS.md`), your seat's
`LEARNED.md`, evidence folders, branches and PRs.
**Only in your head; write it down:**
- why each important thing matters, and to whom;
- how things relate: depends on, supersedes, answers, contradicts, was produced by, is owned by;
- decisions and the reasons for them, options you rejected, judgment and taste you applied;
- where you were in time: what earlier windows established, what this window did, what comes next and who
authorizes it;
- where to look deeper: which JSONL range or file answers which question.
The map is the second list, pinned to the first.
## Two restore classes
Every restored seat must come back competent. It should understand the OpenRig world and its command
surface, the project, its own role, and where it stands in time. Some seats also need the global picture.
Both classes read the same thing: the **ranked reading list** in your own map, in order. They differ only in
how far down the list they go.
| Class | Who | Reads |
|---|---|---|
| **Default** | drivers, builders, reviewers, QA, and any seat not listed below | Tier 1: the top of the list, to about **100k** of real context |
| **High-context** | orchestrators, planners, advisors, leads: any seat that makes product, scope or routing decisions | Tier 1 and Tier 2, to about **200k** of real context |
The tiers are **real context added by the restore**, on top of what the compaction summary leaves (about 60k).
These budgets assume a context window of about 1M tokens; on a smaller window, scale them to about 10% and
20% of it. File size is a poor guide to that cost: in OpenRig's own runs, real context grew 1.7 to 2 times the bytes ÷ 4 estimate,
because of line numbers on reads, tool output and your own reasoning. So rank to about **50k of bytes ÷ 4 for
Tier 1** and about **100k for Tier 2**, and check real usage at each checkpoint with
`rig compact-plan --json` (your seat's `estimatedUsedTokens`).
Tier 2 buys **width, not depth**: more sources, more connections, more of the mission's history and the wider
worlds, not the same files read more fully. Choose your class from your role (`rig whoami --json`). A per-seat
instruction file or your own map can name the class explicitly, and that overrides the role default. In both
classes, transcripts and the session JSONL appear only as targeted line ranges, never as whole files.
If there is no ranked list (no preparation turn happened), use this default order. Default seats stop at about
100k of real context:
1. the post-compaction world profile;
2. the mission or slice `SPEC.md` and `NOTES.md`;
3. rows you hold.
High-context seats then add, to about 200k:
1. the full System World install;
2. the full Project World, public and private;
3. the mission's `PROGRESS.md` and recent returns;
4. previous maps and `RESTORED` notes;
5. `LEARNED.md`.
## If You Are About To Compact
You are about to lose every connection you have built. Spend this turn making them durable.
1. **Think back before writing.** Walk the session and, through your previous map, the windows before it.
What were the threads? What did you work out about how the pieces fit? What is unfinished? What did you
decide, and why? What were you about to be wrong about?
2. **Write the restore map at the exact path named in OpenRig's preparation request.** Follow that
request's completion instructions: use your ordinary file-edit tool to write the named `.tmp` file,
with the exact completion marker as its last line, then finish and close it. The daemon publishes
the completed map atomically; do not run a shell rename or write the final file incrementally.
Do not substitute the seat folder or another map. Managed preparation normally publishes
`<launch cwd>/.openrig/compaction/preparation/<session>/<attempt>/RESTORE-MAP.md`; its parent
compaction folder ignores itself in Git because maps hold private working context. Unknown or
unwritable launch directories retain the instance-home fallback named in the request; it may need
permission if outside your working directories. When there is **no named path**, use your durable seat
folder instead: `<topology root>/rigs/<rig>/seats/<seat>/RESTORE-MAP-<UTC yyyymmdd-hhmm>.md`, derived
from `rig whoami --json` and `rig config get topology.root`. **Run `date -u` for the timestamp and every
time you write in the map. Do not estimate times**: an estimated time can land before events it describes.
3. **Open the map with a summary** of 10 to 20 lines: who you are, what you hold, what mattered in this
window, what is next and who authorizes it, and any hold in force. **Publish that summary as your seat
recap** too: save it, plus a line naming the map's path, to a file and run
`rig context recap-write --rig <rig> --seat <seat> --file <that file>`. If your world profile has a seat
recap atom, it loads this recap, and an old recap would be served as if it were current.
4. **Then write the connections.** Choose what this seat needs; these are examples, not a template:
- **State:** rows you hold (id, state), branches and PR heads, the hold or release in force and who gave
it, the mission and slice you work in.
- **Nodes with purpose:** each file, row, PR or evidence folder that matters, one line each on what it is
and why it matters.
- **Edges:** "A depends on B", "C supersedes D", "this decision produced that file", "E answers question
F", "G is owned by seat H", "I and J disagree; unresolved".
- **Judgment:** decisions with reasons, rejected options, what the human cares about here, the tells you
caught or nearly missed.
- **Time:** what the previous map said happened before, what happened this window, what is next.
- **Lookups:** JSONL line ranges or uuids for threads worth re-reading (`grep -n` the JSONL for a row id
or timestamp), and which file holds the evidence for which claim.
- **A small file tree** of the paths above, each with a one-line note, when that helps navigation.
5. **Rank what your restored self should read.** End the map with a reading list ordered by importance.
- **What each entry gives:**
- the path;
- the exact part to read (a heading, a line range, or a JSONL range found with `grep -n`), not the
whole file unless the whole file is the point;
- its approximate size (bytes ÷ 4 ≈ tokens; `wc -c`);
- one line on why it matters.
- **The first entry** is the post-compaction world profile, with its size from
`rig context profile … --json` (`totalEstimatedTokens`).
- **Tier lines:** keep a running bytes ÷ 4 total, draw the Tier 1 line at about 50k (about 100k of real
context), and continue to about 100k for Tier 2 (about 200k real).
- **Rank for connections.** Prefer the entry that connects the most other things you need, and choose a
section that explains how things fit over a long file of detail you can look up later.
6. **Link the chain.** Name the previous restore map (and its `RESTORED` note, if one exists) so a later
reader can walk back through earlier windows.
7. **Keep it readable in one pass.** Aim for something you could read in a few minutes: point instead of
copying, and leave out what a command can re-derive.
8. **Update the durable homes you own** as usual: a lesson that changes future decisions goes in
`LEARNED.md`; mission state goes in the mission's own files; work another seat must act on goes in a queue
row. The map points to these rather than repeating them.
9. **End the preparation turn** by stating the map path. OpenRig sends `/compact` next; the summary should
name the map path and the next authorized step.
A map that lists files without saying how they connect is an inventory, and an inventory is what compaction
already leaves you. The edges are the point.
## If You Just Compacted
You have facts without connections. Rebuild the connections before you act on anything.
Use the native read tool for file reads throughout restoration. Load `refocusing`
and consume the current topology and work trace that actually arrived with the
restore request; do not rerun Python merely to duplicate it. If no current trace
arrived, name that delivery gap. A packet pointer, compact summary or truncated
extract is not a full source read. Read required notes and full sources separately
and complete the restore steps and read-depth audit below; partial reading does
not establish completed restoration. The earlier acknowledgement-only boundary
is not a restore request.
1. **Check for a hold first.** Read the restore request, the per-seat instruction file
(`<OPENRIG_HOME>/compaction/post-compact-extra/<session>.md`, named by your full session such as
`[email protected]`) when it exists, the newest row or message from whoever routes your work, and any hold
from the authority above them. A hold, a release order or an operator's own restore map overrides the default
order below. Before any write, also run `rig whoami --json` and `rig queue whoami`.
2. **Name your class and state its read budget** before reading (see "Two restore classes"), with a
checkpoint at each step below. The budget exists so that the restore leaves room for the work it was
restored to do. Step 5 takes a high-context seat to its Tier 2 line; the extra sources under "Two restore classes" apply only
when there is no ranked list.
3. **Re-enter the world.** Load the post-compaction world profile your instance provides. Find it with
`rig context list`; for a private world install, run
`rig context profile <world-ref> --situation post-compaction --rig <rig> --seat <seat>` (the seat flags are
needed for its seat-scoped recap atom; take both values from `rig whoami --json`). Without a private world,
run `rig context profile world-public --situation post-compaction` and `rig context get onboarding-width`. This restores how the system works before you
restore what you were doing in it. If your work belongs to a project, re-enter its declared context too:
`rig context work-install` lists what the project declares (intent, context files, skills), so read the pieces
your task needs. `--deliver` prints them all; when several projects are declared (`--json` lists the ids), name
one with `--project <id>`.
4. **Read your own restore map in full** at the exact path named by the preparation request, restore
request or compaction summary. Only when none names a path, look for the newest `RESTORE-MAP-*.md`
in your seat folder. If the selected map points to an earlier map for context you need, read that too.
5. **Read down the map's ranked list** to your class's tier line, reading exactly the parts each entry names.
Then check every row you hold (`rig queue show <id> --full --json`) and anything that may have changed since
the map was written: merged PRs, new rows, a new hold. The map records what was true when it was written;
current state still has to be derived.
6. **Use the packet and the JSONL as lookups**, not as reading lists: go to a specific line range when a
specific question needs it. The packet's `restore-instructions.md` and `touched-files.md` help find
things the map does not cover.
7. **If there is no map** (the preparation turn did not happen), fall back to the packet: read
`restore-instructions.md`, then the most recent unique narrative, tail first, within the budget; and say in
your report that you restored without a map.
8. Reply with the sentence the restore request asks for, normally
`restored from packet at <path>; resumed at step <X>`, naming the map you used. When no packet exists, give
the map's path as `<path>` and say that you restored from the map.
## Required Read-Depth Audit
The audit message asks for a read-depth table and tells you not to conserve tokens. Do both in this form:
1. **List every item** you were asked to read (request, instruction files, packet, map, and the sources the
map marks required) with `FULL`, `PARTIAL` or `NOT_READ`, the ranges you actually read, and a reason.
Mark `FULL` only for content you read after this compaction; content carried in through the summary is
inherited, not read, and a file the harness re-attached after compaction is
`PARTIAL (injected)`, not `FULL`, until you read it.
2. **Read in full now** every required item that is not yet `FULL`. "Required" means the ranked entries
above your class's tier line, in the exact parts they name. Everything else is lookup-only: **every file in the restore packet**
(`touched-files.md`, `restore-instructions.md`, `transcript.md`, `transcript-latest.md`, `restore-summary.json`),
the session JSONL and archives. Those stay
`NOT_READ` with the reason "lookup only", unless a human or the owning seat releases them. The audit
message's "do not optimize for token conservation" applies to required items: read those fully rather
than skimming them. It does not turn lookups into reading lists. In an early run of this skill, reading
the packet transcripts during the audit cost a default seat about 75k, more than the restore itself.
3. **Reconnect, in writing.** In the same reply, and in a short `RESTORED-<UTC yyyymmdd-hhmm>.md` beside the
map:
- where you are in time: what earlier windows established, what the last window did, what is true now;
- the connections you have rebuilt, in a few lines;
- the connections you could not rebuild, and where you would look;
- the next authorized step and who authorizes it. If a hold stands, the next step is waiting.
The next restore map links this note, which keeps the chain unbroken.
## Then resume
Resume the outcome selected by the user's current instructions, standing duties and assigned work. Use existing
task records, decisions and your recap to recover the next useful action, remaining constraints and evidence
already earned. Check uncertain effects before replaying work. Available skills and historical suggestions do not
by themselves widen scope or create required stages. Use authorized skills, subagents, peer help and useful tests
within your remit without another permission request. Route a missing decision to its existing owner and continue
unaffected work.
## Guardrails
- Compaction is survival, not housekeeping. Compact only when a seat is genuinely near its limit, never to
"lean" a seat or prepare a starter image; a compacted seat can sound confident while missing the context it needs.
- Do not launch a fresh session in place of restoring.
- An honest `PARTIAL` with its reason is a correct outcome. Claiming coverage you did not reach is the
failure.
- Do not resume task work until the read-depth table and the reconnect note exist.
## Failure modes
1. **Inventory instead of map:** a list of paths with no edges. The restored seat knows where things are and
not why they matter.
2. **Confident restoration:** acting on the summary after reading only the touched-file list.
3. **Reading to exhaustion:** reading the whole transcript or every linked file and leaving no room for the
work.
4. **Map in scratch:** writing the map somewhere that is cleaned before you restore.
5. **Broken chain:** a map that does not name the previous one, so earlier windows are lost on the second
compaction.
© mvschwarz · Apache-2.0 · mvschwarz/openrig