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update-skills

Refresh installed NanoClaw channel and agent provider code from its registry branches. Update all integrations or a selected subset, check a structured result report, and validate the updated installation with builds and tests.

中文简介正在准备中。当前显示英语简介。

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Refresh installed NanoClaw channel and provider payloads (channels from their registry branch, providers from their skill payload) with fork-safe remote resolution and a blocking structured result. Use after updating NanoClaw or whenever installed channel/provider code may be stale.

查看安装方法

适用场景

  • Refreshing integrations after a NanoClaw update
  • Updating selected channels or agent providers
  • Updating from a fork with an upstream remote
  • Reviewing update results and validation failures

包含的文件(1)

  • SKILL.md3.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Update installed skills

Refresh the code carried by installed channel and provider skills. This does not re-run credential setup, change .env, alter wiring, or restart services.

Run from the NanoClaw project root. Use ordinary conversation for any choice; do not depend on a provider-specific question or skill-invocation tool.

1. Preflight and selection

Require a clean working tree:

git status --porcelain

If it is dirty, stop. Never mix a refresh with unrelated changes.

The default is every installed channel/provider. If the user asked for a subset, pass its comma-separated names. Otherwise use all:

pnpm exec tsx scripts/update-skills.ts --skills all
# Example subset: --skills slack,opencode

The helper detects installed skills from the real channel/provider barrels. Provider skills refresh from their own payload/ in this checkout and need no remote; a provider first installed from the old providers branch is rewritten from the payload the same way. For channel skills it resolves the registry branch by checking configured remotes, so a fork whose origin is the user's repo and whose official source is upstream works without special handling. NANOCLAW_REGISTRY_REMOTE=<name> is an explicit override and is validated before use.

2. Treat the JSON result as a gate

The command prints nanoclaw-skill-refresh/v1-shaped JSON fields with one result per selected skill and exits nonzero unless every selected skill was fully refreshed.

  • Continue only when success is true and every status is refreshed.
  • A missing skill, missing structured apply contract, unresolved input, agent fallback, fetch error, or dependency error is blocking.
  • Never record a failed skill and continue toward an upgrade completion stamp.
  • Preserve the full report in the update summary.

The refresh engine overwrites skill-owned registry files and advances exact dependency/CLI-manifest pins. It skips prompts, operator walkthroughs, .env writes, wiring, restarts, and ordinary build/test directives.

3. Validate the composed checkout

After a successful refresh:

pnpm run build
pnpm test

If files under container/agent-runner/src/ changed, also run:

pnpm exec tsc -p container/agent-runner/tsconfig.json --noEmit

If anything under container/ changed, update the install's agent image using the source mode already selected in .env:

if grep -q '^NANOCLAW_HARDENED_IMAGE=true$' .env 2>/dev/null; then
  ./container/build.sh pull
else
  ./container/build.sh
fi

Any validation or image failure is blocking. Do not restart or report success.

4. Report

Show the selected skills, the registry remote used for each branch, changed files, validation results, and any blocking error. If this was a standalone refresh and the service was running, restart it through the service mode that actually owns this install and verify data/ncl.sock plus bin/ncl groups list. When called inside /update-nanoclaw, leave restart and health checking to that transaction.

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中文简介正在准备中。当前显示英语简介。

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