Agent skill

Migrate Nanoclaw

by nanocoai in nanocoai/nanoclaw

Extracts user customizations from a fork, generates a replayable migration guide, and upgrades to upstream by reapplying customizations on a clean base.

MITAuto-check: notesDevelopment

Install Migrate Nanoclaw

skills CLI
$ npx skills add nanocoai/nanoclaw --skill migrate-nanoclaw -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install nanocoai/nanoclaw migrate-nanoclaw --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/nanocoai/nanoclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/migrate-nanoclaw .claude/skills/migrate-nanoclaw && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
migrate-nanoclaw
GitHub stars
31k
Token cost
~6k tokens
SKILL.md length
2,667 words
Files
2
Skills in repo
59
Repo updated
First seen
Licence
MIT

At a glance

Extracts user customizations from a fork, generates a replayable migration guide, and upgrades to upstream by reapplying customizations on a clean base.

  • Works in 3 steps: Refresh this skill first → Extract → Upgrade
  • Tasks that involve Code migrations
  • SKILL.md covers 1.0 Preflight, 1.1 Assess scope and determine…, 1.2 Update existing guide (if… and 1.3 Explore the codebase, plus 15 more sections
  • Calls git, pnpm and bun; needs DEEPL_API_KEY

What it does

Migrate Nanoclaw is an agent skill from nanocoai/nanoclaw. Extracts user customizations from a fork, generates a replayable migration guide, and upgrades to upstream by reapplying customizations on a clean base. Replaces merge-based upgrades with intent-based migration.

Its SKILL.md is about 6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `diagnostics.md`).

It sits in Development, covering Code migrations. The repository describes itself as: A lightweight alternative to OpenClaw that runs in containers for security. Connects to WhatsApp, Telegram, Slack, Discord, Gmail and other messaging apps,, has memory, scheduled…. The licence is MIT.

When your agent uses it

  • Tasks that involve Code migrations

Example prompts

  • “Use the migrate-nanoclaw skill to extract user customizations from a fork, generates a replayable migration guide, and upgrades to upstream by…”
  • “/migrate-nanoclaw”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Refresh this skill first
  2. Extract
  3. Upgrade

What it can do on your machine

Read from SKILL.md and the folder at commit af699e7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git
    • pnpm
    • bun

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git and pnpm, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • DEEPL_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Migrate Nanoclaw loads about 6k tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 2,667 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:22
    ectories (`groups/`, `store/`, `data/`, `.env`) are never touched — only code.
  • NoteMentions a .env fileSKILL.md:427
    ln -s "$PROJECT_ROOT/.env" "$WORKTREE/.env"
  • NoteMentions a .env fileSKILL.md:438
    TREE/data" "$WORKTREE/groups" "$WORKTREE/.env"

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from nanocoai/nanoclaw at commit af699e7, republished under its MIT licence (© nanocoai). 2,667 words, ~5,951 tokens.

Download SKILL.mdSave it as .claude/skills/migrate-nanoclaw/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
migrate-nanoclaw
description
Extracts user customizations from a fork, generates a replayable migration guide, and upgrades to upstream by reapplying customizations on a clean base. Replaces merge-based upgrades with intent-based migration.

Context

NanoClaw users fork the repo and customize it — changing config values, editing source files, modifying personas, adding skills. When upstream ships updates or refactors, git merge produces painful conflicts because the same core files were changed on both sides.

This skill extracts the user's customizations into a migration guide — capturing both the intent (what they want) and the implementation details (how they did it, with code snippets, API calls, and specific configurations). On upgrade, it checks out clean upstream in a worktree, then reapplies customizations using the guide. No merge conflicts because there's nothing to merge.

The migration guide is markdown, not structured data. It needs to capture the full range of what a user might customize, with enough implementation detail that a fresh Claude session can reapply it without having seen the original code. Standard changes (config values, simple logic) can be described briefly. Non-standard changes (specific APIs, custom integrations, unusual patterns) need code snippets and precise instructions.

Two phases: Extract (build the migration guide) and Upgrade (use it). If a guide already exists, offer to skip to Upgrade.

Principles

  • Never proceed with a dirty working tree.
  • Always create a rollback point (backup branch + tag) before touching anything.
  • The migration guide is the source of truth, not diffs.
  • Use a worktree to validate before affecting the live install.
  • Data directories (groups/, store/, data/, .env) are never touched — only code.
  • Be helpful: offer to do things (stash, commit, stop services) rather than telling the user to do them.
  • Use sub-agents for exploration. Spawn haiku sub-agents to explore the codebase, trace skill merges, diff files, and identify customizations. This keeps the main context focused on the user conversation and decision-making.
  • Always use absolute paths in worktrees. The Bash tool resets the working directory between calls. Never use relative cd .upgrade-worktree — always use the full absolute path: cd /absolute/path/.upgrade-worktree && <command>. Store the worktree absolute path in a variable at creation time and reference it throughout.
  • Balance exploration and asking. Don't bombard the user with questions when you can figure things out from the code. Don't burn endless tokens exploring when the user could clarify in one sentence. Use sub-agents to explore first, then ask the user targeted questions about things that are ambiguous or where intent isn't clear from the code alone.
  • Scale effort to complexity. Not every migration needs the full process. Assess the scope early and take the lightest path that fits.

Phase 0: Refresh this skill first

The migration process itself evolves, so run its newest version before doing anything else:

  • Ensure the upstream remote exists (default https://github.com/nanocoai/nanoclaw.git) and fetch: git fetch upstream --prune. Detect the upstream branch (main or master).
  • Refresh this skill from upstream: git checkout upstream/<branch> -- .claude/skills/migrate-nanoclaw/
  • Re-read .claude/skills/migrate-nanoclaw/SKILL.md. If it changed, follow the updated version from the top instead of this one.

This is the only working-tree change expected before the preflight check below; changes limited to .claude/skills/migrate-nanoclaw/ are this self-refresh — ignore them in the 1.0 clean-tree check and proceed.

Phase 1: Extract

1.0 Preflight

Run git status --porcelain. If non-empty, offer to stash or commit for them (AskUserQuestion: "Stash changes" / "Commit changes" / "I'll handle it"). If they want to commit, stage and commit with a descriptive message. If they want to stash, run git stash push -m "pre-migration stash".

Check remotes with git remote -v. If upstream is missing, ask for the URL (default: https://github.com/nanocoai/nanoclaw.git), add it, then git fetch upstream --prune.

Detect upstream branch: check git branch -r | grep upstream/ for main or master. Store as UPSTREAM_BRANCH.

1.1 Assess scope and determine path

Quickly assess the scale of divergence, check for an existing guide, and determine the right approach — all before asking the user anything.

bash
BASE=$(git merge-base HEAD upstream/$UPSTREAM_BRANCH)
# Divergence stats
git rev-list --count $BASE..upstream/$UPSTREAM_BRANCH  # upstream commits
git rev-list --count $BASE..HEAD                       # user commits
git diff --name-only $BASE..HEAD | wc -l               # user changed files
git diff --stat $BASE..HEAD | tail -1                   # insertions/deletions
git diff --name-only $BASE..upstream/$UPSTREAM_BRANCH | wc -l  # upstream changed files

Check for existing guide: .nanoclaw-migrations/guide.md or .nanoclaw-migrations/index.md.

Determine the tier based on the total diff from base:

Tier 1: Lightweight — suggest /update-nanoclaw instead

Conditions (any of):

  • Very few upstream changes (< ~5 commits) AND few user changes (< ~3 changed files)
  • User recently updated/migrated (merge-base is close to upstream HEAD)

Tell the user the scope is small and suggest /update-nanoclaw might be simpler. Let them choose.

Tier 2: Standard

Conditions:

  • Moderate total diff (3-15 changed files, no large number of new files)
  • Manageable scope that fits in a single guide file
Tier 3: Complex

Conditions (any of):

  • Many new files added (indicates many skills applied) — discount files that a skill's own apply owns when assessing complexity; a fork with 3 skills and no other changes is simpler than it looks by file count alone
  • Deep source changes to core files (src/index.ts, src/container-runner.ts, etc.) beyond what skills introduced
  • Lots of insertions/deletions in user-authored code (not skill-owned code)
  • Many skills applied (3+) AND the user confirms or sub-agents find customizations on top of them

Use the full process: multiple sub-agents in parallel, directory-based guide, migration plan.

Now combine the scope assessment with initial user input in one interaction. Present the scope summary (how many commits, files, which tier) and ask (AskUserQuestion):

For Tier 1:

  • Use /update-nanoclaw — simpler merge-based approach
  • Proceed with full migration — continue

For Tier 2/3 (with or without existing guide):

  • If guide exists and is current: Skip to upgrade / Update guide (add new changes) / Re-extract from scratch
  • If guide exists but is stale: Update guide (recommended) / Re-extract from scratch / Skip to upgrade anyway
  • If no guide: Yes, let me describe my customizations first / Just figure it out / A bit of both

Present the scope summary, gather the user's input, and resolve the existing-guide choice in this single interaction.

1.2 Update existing guide (if applicable)

If the user chose to update an existing guide rather than re-extract:

  1. Read the existing guide
  2. Find commits made since the guide was generated (compare guide's recorded base hash against current HEAD)
  3. Spawn a haiku sub-agent to analyze only the new changes:

    Diff HEAD against <guide-recorded-hash>. For each changed file, summarize what changed and why.

  4. Present the new changes to the user for confirmation
  5. Append new customizations to the existing guide, update the header hashes
  6. Skip to Phase 2

1.3 Explore the codebase

Spawn a haiku sub-agent (Agent tool, model: haiku) for initial exploration:

Explore this NanoClaw fork to identify all changes from the upstream base. Run these commands and report back:

  1. git diff --name-only $BASE..HEAD — all changed files
  2. git log --oneline $BASE..HEAD — all commits
  3. ls .claude/skills/ — installed skills, then for each add-* skill read its SKILL.md to learn which files it fetches/writes (e.g. src/channels/<name>.ts, import './<name>.js'; in a barrel, pinned deps)

Report: (a) list of installed add-* skills and the files each one owns, (b) list of all changed files, (c) any custom skill directories under .claude/skills/ not matching an upstream add-* skill.

From the sub-agent results, identify:

  • Which files an add-<name> skill owns — these are reapplied by re-running that skill's own apply in Phase 2
  • Everything else — all remaining changes are customizations to analyze (whether they're on skill-owned files or not)

Don't try to distinguish "user modified a skill-owned file" from "user made their own change" at this stage. The sub-agents in 1.4 will look at all non-skill changes together and surface what matters.

1.4 Analyze customizations

For each applied skill, ask the user in a single batched question (AskUserQuestion, multiSelect):

"I found these applied skills. Select any you customized further after applying:"

Options: one per skill, plus "None — all used as-is".

Then spawn sub-agents to analyze all non-skill changes. For Tier 2, one or two agents. For Tier 3, run in parallel by area:

  • Config + build files — one sub-agent
  • Source files (src/*.ts) — one sub-agent
  • Skills the user flagged as modified (or all of them for Tier 3) — one sub-agent per skill, comparing the user's current skill-owned files against the pristine version the skill fetches. For a file the skill writes from origin/<branch>, diff the working copy against that source:
    diff <(git show origin/<branch>:<path>) <path>
  • Container files — one sub-agent (if changes exist)

Each sub-agent task:

Read these diffs and the current file contents. For each change:

  1. git diff $BASE..HEAD -- <file> (or diff <(git show origin/<branch>:<file>) <file> for skill-owned files)
  2. Read the full current file for context
  3. Summarize: what changed, what the likely intent is
  4. Assess detail level: could a fresh Claude session reproduce this from intent alone, or does it need specific code snippets, API details, import paths?
  5. For non-standard changes, extract the key code, imports, API calls, and configurations verbatim.

Inter-skill conflicts: If multiple skills are applied, spawn an additional sub-agent to check for interactions between them. Look for:

  • Duplicate declarations (same variable/constant defined by two skills)
  • Conflicting approaches (one skill throws on missing env var, another provides a fallback)
  • Shared files modified by multiple skills

Document any findings in the "Skill Interactions" section of the migration guide so they can be resolved after the skills are reapplied during upgrade.

1.5 Confirm with user

After sub-agents report back, compile the findings and present to the user.

For customizations where the intent is clear (config values, simple modifications): present as a batch for confirmation. Use AskUserQuestion with multiSelect to let the user flag any entries that need correction.

For customizations where the intent is ambiguous: ask specific questions. Don't ask "what did you do?" — instead ask "I see you added X in this file. Was this for Y or something else?"

The user can select "Other" on any question to provide their own description.

1.6 Migration plan (Tier 3 only)

For complex migrations, before writing the guide, create a migration plan:

  • Order of operations: which customizations depend on others, which skills must be applied first
  • Staging: whether the migration should happen in stages (e.g. apply skills first, validate, then apply source customizations)
  • Risk areas: customizations that touch files heavily changed by upstream — these may need manual review
  • Interactions: customizations that interact with each other (e.g. a source change that depends on a skill, or two customizations that touch the same file)

Present the plan to the user for review before proceeding to the guide.

Show full SKILL.md (1,067 more words)Show less

1.7 Write the migration guide

Storage: .nanoclaw-migrations/guide.md for Tier 2. .nanoclaw-migrations/ directory with index.md and section files for Tier 3.

Verification: After writing the guide, read it back and verify:

  • Every referenced file path exists in the current codebase
  • Code snippets match what's actually in the files
  • No customizations from the analysis were accidentally omitted

The guide is structured markdown that a fresh Claude session can follow to reproduce this user's exact setup on a clean upstream checkout.

Structure:

markdown
# NanoClaw Migration Guide

Generated: <timestamp>
Base: <BASE hash>
HEAD at generation: <HEAD hash>
Upstream: <upstream HEAD hash>

## Migration Plan

(Tier 3 only — big-picture overview of order, staging, risks)

## Applied Skills

List each installed skill by its slash-command name. Each is reapplied by re-running its own `/add-<name>` apply on the clean base — those skills fetch their files additively and pin their own deps, so re-running them is safe and reproducible.

- `add-telegram`
- `add-slack`

Custom skills (user-created, not from upstream): `.claude/skills/my-custom-skill/` — copy as-is from main tree.

## Skill Interactions

(Document known conflicts or interactions between applied skills.
When two or more skills modify the same file or depend on shared
config, describe the conflict and how to resolve it after reapplying.
Example: skill A and skill B both add a PROXY_BIND_HOST declaration —
after reapplying both, deduplicate. Or: skill A throws if ENV_VAR is
missing, but skill B provides a fallback — use the fallback version.)

## Modifications to Applied Skills

### <Skill name>: <what was modified>

**Intent:** ...

**Files:** ...

**How to apply:** (after the skill's `/add-<name>` apply has been re-run)

...

## Customizations

### <Descriptive title for customization>

**Intent:** What the user wants and why.

**Files:** Which files to modify.

**How to apply:**

<For standard changes, a brief description is enough.>

<For non-standard changes, include code snippets, API details,
specific values, import paths — everything needed to reproduce
without seeing the original diff.>

### <Next customization...>

Judging detail level: For each customization, assess whether a fresh Claude session could reproduce it from intent alone:

  • Standard changes (config values, simple logic, well-known patterns): describe the intent and the target. Example: "Change POLL_INTERVAL in src/config.ts from 2000 to 1000."
  • Non-standard changes (specific API usage, custom integrations, unusual patterns, library-specific configurations): include the actual code snippets, import paths, API endpoints, configuration objects — everything needed to reproduce it without guessing.

Example entries at different detail levels:

Standard (brief):

markdown
### Custom trigger word

**Intent:** Use `@Bob` instead of the default `@Andy`.

**Files:** `src/config.ts`

**How to apply:** Change the default value of `ASSISTANT_NAME` from `'Andy'` to `'Bob'`.

Non-standard (detailed):

markdown
### Spanish translation for outbound messages

**Intent:** All outbound messages are translated to Spanish before sending. Uses the DeepL API via the `deepl-node` package.

**Files:** `src/router.ts`, `package.json`

**How to apply:**

1. Add dependency: `npm install deepl-node`

2. In `src/router.ts`, add import at top:
   ```typescript
   import * as deepl from 'deepl-node';
   const translator = new deepl.Translator(process.env.DEEPL_API_KEY!);
  1. In the formatOutbound function, before the return statement, add:
    typescript
    const result = await translator.translateText(text, null, 'es');
    text = result.text;
    Note: the function needs to be made async if it isn't already.

After writing, offer to commit for the user:
```bash
git add .nanoclaw-migrations/
git commit -m "chore: save migration guide"

Ask (AskUserQuestion): "Migration guide saved. Want to upgrade now or later?"

  • Upgrade now — continue to Phase 2
  • Later — stop here

Phase 2: Upgrade

2.0 Preflight

Same checks as 1.0 — clean tree (offer to stash/commit if dirty), upstream configured, fetch latest.

Read the migration guide. If missing, tell the user you need to extract customizations first and ask if they want to do that now.

New-changes guard: Compare the guide's "HEAD at generation" hash against current HEAD. If there are commits since the guide was generated, warn the user:

"You've made changes since the migration guide was generated. These changes won't be included in the upgrade."

AskUserQuestion:

  • Update the guide first — go to step 1.2 to incorporate new changes
  • Proceed anyway — user accepts that recent changes will be lost
  • Abort — stop

2.1 Safety net

bash
HASH=$(git rev-parse --short HEAD)
TIMESTAMP=$(date +%Y%m%d-%H%M%S)
git branch backup/pre-migrate-$HASH-$TIMESTAMP
git tag pre-migrate-$HASH-$TIMESTAMP

Save the tag name for rollback instructions at the end.

2.2 Preview upstream changes

bash
BASE=$(git merge-base HEAD upstream/$UPSTREAM_BRANCH)
git log --oneline $BASE..upstream/$UPSTREAM_BRANCH
git diff $BASE..upstream/$UPSTREAM_BRANCH -- CHANGELOG.md

If there are [BREAKING] entries, show them and explain how they interact with the user's customizations from the migration guide.

Ask (AskUserQuestion) to proceed or abort.

2.3 Create upgrade worktree

bash
PROJECT_ROOT=$(pwd)
git worktree add .upgrade-worktree upstream/$UPSTREAM_BRANCH --detach
WORKTREE="$PROJECT_ROOT/.upgrade-worktree"

Store $PROJECT_ROOT and $WORKTREE as absolute paths. Use $WORKTREE in all subsequent commands — never cd .upgrade-worktree with a relative path.

2.4 Reapply skills in worktree

The clean upstream base already carries every skill's SKILL.md under .claude/skills/. Reapply each installed skill by re-running its own apply against the worktree — each /add-<name> skill fetches its files additively (git fetch origin <branch> + git show origin/<branch>:path > path), pins its own dependencies, and is safe to re-run, so this reproduces the install on the new base without merging branches.

For each skill listed in the migration guide's "Applied Skills" section:

  1. Confirm the skill exists on the new base: check $WORKTREE/.claude/skills/<name>/SKILL.md.
  2. If present, follow that SKILL.md's apply steps with the worktree as the working tree — run its git fetch origin <branch>, write its files with git show origin/<branch>:path > $WORKTREE/path, append its import lines, and run its pinned pnpm install/bun install inside the worktree.
  3. If the skill is missing from the new base, warn the user (it may have been removed or renamed upstream).
  4. If reapplying a skill fails (a fetched path no longer exists, or its apply errors), stop and tell the user — the skill needs updating for the new upstream.

Copy any custom skills mentioned in the guide from the main tree into the worktree.

2.5 Reapply customizations in worktree

Work in .upgrade-worktree/. Follow each customization section in the migration guide, including "Modifications to Applied Skills."

For Tier 3 migrations with a migration plan, follow the plan's ordering and staging. If the plan calls for staged validation (e.g. validate after skills, then validate after source changes), do so.

For each customization:

  1. Read the "How to apply" instructions from the guide
  2. Read the target file(s) in the worktree to understand the current upstream version
  3. Apply the changes as described — use the code snippets and specific instructions from the guide
  4. If the target file has changed significantly from what the guide expects (function removed, file restructured, API changed), flag it and ask the user what to do
  5. Verify the file has no syntax errors or broken imports after each change

For behavior customizations (CLAUDE.md files): copy from the main tree. These are user content, not code.

2.6 Validate in worktree

bash
cd "$WORKTREE" && pnpm install && pnpm run build && pnpm test

If build fails, show the error. Fix only issues caused by the migration. If unclear, ask the user.

2.7 Live test (optional)

Ask (AskUserQuestion):

  • Test live — stop service, run from worktree against real data, send a test message
  • Skip — trust the build, proceed to swap

If testing live:

  1. Stop the service (do this directly). Service labels are per-install — derive them from setup/lib/install-slug.sh:

    bash
    source setup/lib/install-slug.sh
    # macOS (Darwin):
    launchctl bootout gui/$(id -u)/$(launchd_label) 2>/dev/null || true
    # Linux:
    # systemctl --user stop $(systemd_unit) 2>/dev/null || true
  2. Symlink data into the worktree:

    bash
    ln -s "$PROJECT_ROOT/store" "$WORKTREE/store"
    ln -s "$PROJECT_ROOT/data" "$WORKTREE/data"
    ln -s "$PROJECT_ROOT/groups" "$WORKTREE/groups"
    ln -s "$PROJECT_ROOT/.env" "$WORKTREE/.env"
  3. Start from worktree: cd "$WORKTREE" && pnpm run dev

  4. Ask the user to send a test message from their phone. Wait for them to confirm it works.

  5. After confirmation, stop the dev server.

  6. Clean up symlinks:

    bash
    rm "$WORKTREE/store" "$WORKTREE/data" "$WORKTREE/groups" "$WORKTREE/.env"

2.8 Swap into main tree

The swap must be done carefully — the worktree has the upgraded code, but main needs to point to it cleanly. Use absolute paths throughout.

bash
# 1. Capture the worktree HEAD before removing it
WORKTREE_PATH=$(cd "$PROJECT_ROOT/.upgrade-worktree" && pwd)
UPGRADE_COMMIT=$(git -C "$WORKTREE_PATH" rev-parse HEAD)

# 2. Copy the migration guide out of the worktree before removing it
cp -r "$WORKTREE_PATH/.nanoclaw-migrations" /tmp/nanoclaw-migrations-backup 2>/dev/null || true

# 3. Remove the worktree
git worktree remove "$WORKTREE_PATH" --force

# 4. Point the current branch at the upgraded commit
git reset --hard $UPGRADE_COMMIT

# 5. Restore the migration guide and update its hashes
cp -r /tmp/nanoclaw-migrations-backup/* .nanoclaw-migrations/ 2>/dev/null || true
rm -rf /tmp/nanoclaw-migrations-backup

Update the guide's header hashes to reflect the new state. Offer to commit:

bash
git add .nanoclaw-migrations/
git commit -m "chore: upgrade to upstream $(git rev-parse --short upstream/$UPSTREAM_BRANCH)"

Point the branch at the upgraded state with git reset --hard <upgrade-commit> (step 4 above). The backup tag from 2.1 preserves the pre-upgrade state, so this is the cleanest path.

2.9 Post-upgrade

Run pnpm install && pnpm run build in the main tree to confirm.

Stamp the upgrade marker (required — without it the startup tripwire stops the host on next start). Only do this after the build above succeeds:

bash
pnpm exec tsx scripts/upgrade-state.ts set "" migrate-nanoclaw

Restart the service. Service labels are per-install — derive them from setup/lib/install-slug.sh:

bash
source setup/lib/install-slug.sh
# macOS (Darwin):
launchctl kickstart -k gui/$(id -u)/$(launchd_label)
# Linux:
# systemctl --user restart $(systemd_unit)

Show summary:

  • Previous version (backup tag)
  • New HEAD
  • Customizations reapplied (list from guide)
  • Skills reapplied
  • Rollback: git reset --hard <backup-tag>
  • Any customizations that needed manual adjustment

Offer to pop the stash if one was created in preflight: git stash pop

Diagnostics

  1. Use the Read tool to read .claude/skills/migrate-nanoclaw/diagnostics.md.
  2. Follow every step in that file before finishing.

© nanocoai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in .claude/skills/migrate-nanoclaw of nanocoai/nanoclaw.

  • SKILL.md
  • diagnostics.md

Open the folder on GitHubat commit af699e7

Compare with similar skills

Migrate Nanoclaw next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Migrate Nanoclaw compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Migrate Nanoclaw this skillnanocoai/nanoclaw31k—~6kAutomated safety check: NotesMIT
Migrate Core Code to Submodulestinyhumansai/openhuman42k—~2.6kAutomated safety check: PassGPL-3.0
Migrate Internal Package into GhostTryGhost/Ghost56k—~3.8kAutomated safety check: PassMIT
ast-grep Structural Searchcode-yeongyu/oh-my-openagent70k—~3.3kAutomated safety check: PassMIT
Next Cache Components Adoptionvercel/next.js143k6 repos~8.3kAutomated safety check: PassMIT
Deprecate R Functions and Argumentstidyverse/dplyr5.1k1 repos~1.2kAutomated safety check: PassCustom licence

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All 59 skills in this repo
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Categories

Questions about Migrate Nanoclaw

What does Migrate Nanoclaw do?

Extracts user customizations from a fork, generates a replayable migration guide, and upgrades to upstream by reapplying customizations on a clean base. Migrate Nanoclaw is an agent skill from nanocoai/nanoclaw. Extracts user customizations from a fork, generates a replayable migration guide, and upgrades to upstream by reapplying customizations on a clean base.

When should I use Migrate Nanoclaw?

Migrate Nanoclaw fits situations like: tasks that involve Code migrations.

How do I install Migrate Nanoclaw in Claude Code?

Run `npx skills add nanocoai/nanoclaw --skill migrate-nanoclaw -a claude-code`. Or copy the skill folder (.claude/skills/migrate-nanoclaw in nanocoai/nanoclaw) into .claude/skills/migrate-nanoclaw in your project. Claude Code loads it when a task matches its description.

How do I install Migrate Nanoclaw in Codex?

Run `npx skills add nanocoai/nanoclaw --skill migrate-nanoclaw -a codex`. Or copy the skill folder (.claude/skills/migrate-nanoclaw in nanocoai/nanoclaw) into .agents/skills/migrate-nanoclaw in your project. Codex loads it when a task matches its description.

Can I use Migrate Nanoclaw in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nanocoai/nanoclaw --skill migrate-nanoclaw -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/migrate-nanoclaw, .gemini/skills/migrate-nanoclaw, .github/skills/migrate-nanoclaw and .opencode/skills/migrate-nanoclaw in your project.

What does Migrate Nanoclaw need to run?

Going by SKILL.md and its folder, Migrate Nanoclaw needs the command-line tools its instructions call (git, pnpm and bun) and credentials named DEEPL_API_KEY.

Does Migrate Nanoclaw access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Migrate Nanoclaw safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Migrate Nanoclaw use?

Migrate Nanoclaw is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Migrate Nanoclaw use?

About 6k tokens (SKILL.md is roughly 24k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Migrate Nanoclaw?

Skills that share tags, products or a category with Migrate Nanoclaw: Migrate Core Code to Submodules (tinyhumansai/openhuman, 42k stars), Migrate Internal Package into Ghost (TryGhost/Ghost, 56k stars), ast-grep Structural Search (code-yeongyu/oh-my-openagent, 70k stars) and Next Cache Components Adoption (vercel/next.js, 143k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Migrate Nanoclaw?

nanocoai (a GitHub organization) maintains it in nanocoai/nanoclaw, which has 30,906 GitHub stars. The repository holds 59 skills in this directory. The repository was last updated on October 9, 2026.

Source: nanocoai/nanoclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.