// One-time setup wizard for the nanobot upgrade skill. Triggers: setup update, configure update, 切设置更新, 初始化更新.
Generate images and iteratively edit saved image artifacts.
Sustained objectives via long_task / complete_goal — idempotent goal wording, project-style modular work, early web/doc research, Runtime Context metadata.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Check and set the agent's own runtime state (model, iterations, context window, token usage, web config). Use when diagnosing why something doesn't work ("why can't you search the web?", "why did you stop?"), checking resource limits before complex tasks, adapting configuration for long or simple tasks, or remembering user preferences across turns. Also use when the user asks what model you are running, how many tokens you've used, or what your settings are.
Two-layer memory system with Dream-managed knowledge files.
Schedule reminders and recurring tasks.
| name | update-setup |
| description | One-time setup wizard for the nanobot upgrade skill. Triggers: setup update, configure update, 切设置更新, 初始化更新. |
Generate a personalized upgrade skill for this workspace.
Use read_file to check if skills/update/SKILL.md already exists in the workspace.
If it exists, ask the user: "An upgrade skill already exists. Reconfigure?" Wait for the user's reply. If no, stop here.
Use exec to run nanobot --version. Tell the user the current version.
Then collect install clues with exec. These commands are best-effort; if one fails,
keep going and show the useful output:
command -v nanobot || true
python -m pip show nanobot-ai || true
pipx list | sed -n '/nanobot-ai/,+3p' || true
uv tool list | sed -n '/nanobot-ai/,+3p' || true
Summarize what you found in one short paragraph. Use the clues only to suggest a likely install method. Do not treat them as confirmation.
CRITICAL: Do not write skills/update/SKILL.md until the install method is
explicitly confirmed by the user. The install method must come from a user
answer or confirmation, not from inference alone. If you cannot get a clear
answer, stop and ask the user to rerun this setup when they know how nanobot was
installed.
Ask the user the questions below, one at a time, in your response text. Wait for the user's reply before proceeding to the next question. If you cannot get a clear answer, stop without writing the skill.
Question 1 — Install method:
question: "I found these install clues: <SUMMARY>. Which update method should this workspace use?"
options: ["uv", "pipx", "pip", "source (git clone)", "not sure"]
If the user selected not sure, explain the difference between the options and
stop. Do not generate the upgrade skill.
If the user selected source (git clone), ask for the local checkout path:
question: "Where is your nanobot source checkout? Enter an absolute path or a path relative to this workspace:".
Question 2 — Optional dependencies:
question: "Which optional dependencies do you need? List names separated by spaces, or reply 'none'. Available: api, wecom, weixin, msteams, matrix, discord, langsmith, pdf"
Parse the reply. If the user says "none" or similar, set extras to empty. Otherwise collect the valid names.
Question 3 — Proxy:
question: "Do you need an HTTP proxy to reach PyPI or GitHub?"
options: ["no", "yes"]
If yes, ask one more time for the proxy URL: question: "Enter proxy URL (e.g. http://127.0.0.1:7890):".
Build the extras string. If the user selected dependencies, format as [dep1,dep2,...]. Otherwise omit the brackets entirely.
Determine the upgrade command from the install method:
| Method | Command |
|---|---|
| uv | uv tool install "nanobot-ai[EXTRAS]" --force |
| pipx | pipx install --force "nanobot-ai[EXTRAS]" |
| pip | python -m pip install --upgrade "nanobot-ai[EXTRAS]" |
| source | cd <SOURCE_CHECKOUT> && git pull && python -m pip install -e ".[EXTRAS]" |
For source installs, include extras in the editable install command when selected. Quote the source checkout path if it contains spaces.
Determine the preflight check from the install method:
| Method | Preflight check |
|---|---|
| uv | command -v uv |
| pipx | command -v pipx |
| pip | python -m pip --version |
| source | test -d <SOURCE_CHECKOUT> && test -d <SOURCE_CHECKOUT>/.git && test -f <SOURCE_CHECKOUT>/pyproject.toml |
For source installs, quote the source checkout path in the preflight check if it contains spaces.
Build the skill content. If proxy is configured, add export http_proxy=URL and export https_proxy=URL lines before the upgrade command.
Use write_file to write skills/update/SKILL.md with this content:
---
name: update
description: "Upgrade nanobot to the latest version. Triggers: upgrade nanobot, update nanobot, 升级nanobot, 更新nanobot."
---
# Update Nanobot
1. (If proxy configured) Set proxy: `export http_proxy=URL && export https_proxy=URL`
2. Use `exec` to run the preflight check: <PREFLIGHT_CHECK>. If it fails, stop and tell the user to rerun `update-setup` because the saved install method no longer matches this environment.
3. Use `exec` to run the upgrade command: <UPGRADE_COMMAND>
4. Use `exec` to verify: `nanobot --version`
5. Tell the user the new version. Say: "Run `/restart` to restart nanobot and apply the update. If `/restart` is unavailable in this channel, restart the nanobot process manually."
Tell the user: "Upgrade skill created. Say 'upgrade nanobot' when you want to update."