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/add-vercel

Add Vercel deployment capability to NanoClaw agents. Installs the Vercel CLI in agent containers and sets up OneCLI credential injection for api.vercel.com. Use when the user wants agents to deploy web applications to Vercel.

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nanoclaw
31k61 skills
Install
$ npx -y skills add nanocoai/nanoclaw --skill add-vercel --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/add-vercel

Context preview

The summary Claude sees to decide when to auto-load this skill.

Add Vercel deployment capability to NanoClaw agents. Installs the Vercel CLI in agent containers and sets up OneCLI credential injection for api.vercel.com. Use when the user wants agents to deploy web applications to Vercel.

SKILL.md

add-vercel.SKILL.md
name: add-vercel
description: Add Vercel deployment capability to NanoClaw agents. Installs the Vercel CLI in agent containers and sets up OneCLI credential injection for api.vercel.com. Use when the user wants agents to deploy web applications to Vercel.

Add Vercel

This skill gives NanoClaw agents the ability to deploy web applications to Vercel. It installs the Vercel CLI in agent containers and configures OneCLI to inject Vercel credentials automatically.

**Principle:** Do the work — don't tell the user to do it. Only ask for their input when it genuinely requires manual action (pasting a token).

Phase 1: Pre-flight

Check if already applied

Check if the container skill exists:

test -d container/skills/vercel-cli && echo "INSTALLED" || echo "NOT_INSTALLED"

If `INSTALLED`, skip to Phase 3 (Configure Credentials).

Check prerequisites

Verify OneCLI is working (required for credential injection):

onecli version 2>/dev/null && echo "ONECLI_OK" || echo "ONECLI_MISSING"

If `ONECLI_MISSING`, tell the user to run `/init-onecli` first, then retry `/add-vercel`. Stop here.

Phase 2: Install Container Skill

Copy the bundled container skill into the container skills directory:

rsync -a .claude/skills/add-vercel/container-skills/ container/skills/

Verify:

head -5 container/skills/vercel-cli/SKILL.md

Phase 3: Configure Credentials

Check if Vercel credential already exists

onecli secrets list 2>/dev/null | grep -i vercel

If a Vercel credential already exists, skip to Phase 4.

Set up Vercel API credential

The agent needs a Vercel personal access token. Tell the user:

> I need your Vercel personal access token. Go to https://vercel.com/account/tokens and create one with these settings: > > - **Token name:** `nanoclaw` (or any name you'll recognize) > - **Scope:** "Full Account" — the agent needs to create projects, deploy, and manage domains > - **Expiration:** "No expiration" recommended (avoids credential rotation), or pick a date if your security policy requires it > > After creating the token, copy it — you'll only see it once.

Once the user provides the token, add it to OneCLI:

onecli secrets create \
  --name "Vercel API Token" \
  --type generic \
  --value "<TOKEN>" \
  --host-pattern "api.vercel.com" \
  --header-name "Authorization" \
  --value-format "Bearer {value}"

Verify:

onecli secrets list | grep -i vercel

Assign the secret to all agents

OneCLI uses selective secret mode — secrets must be explicitly assigned to each agent. Get the Vercel secret ID from the output above, then assign it to every agent:

# set-secrets replaces the entire list — read and merge for each agent.
VERCEL_SECRET_ID=$(onecli secrets list | jq -r '.data[] | select(.name | test("(?i)vercel")) | .id' | head -1)
for agent in $(onecli agents list | jq -r '.data[].id'); do
  CURRENT=$(onecli agents secrets --id "$agent" | jq -r '[.data[]] | join(",")')
  MERGED=$(printf '%s' "$CURRENT,$VERCEL_SECRET_ID" | tr ',' '\n' | sort -u | paste -sd ',' -)
  onecli agents set-secrets --id "$agent" --secret-ids "$MERGED"
done

Phase 4: Ensure Vercel CLI in Container Image

The Vercel CLI is not in the agent image by default — this skill is what adds it. It goes in `container/cli-tools.json` as a json-merge rather than a Dockerfile edit, which is what keeps the change deterministic and removable.

grep -q '"vercel"' container/cli-tools.json && echo "PRESENT" || echo "MISSING"

If `MISSING`, append the entry, keeping an exact pinned version — the manifest rejects ranges, so the supply-chain policy still applies:

{ "name": "vercel", "version": "52.2.1" }

Then apply it:

./container/build.sh

On an install that builds its own image, that rebuilds it. On one that fetches a published image, the same command adds Vercel as a single layer on top of the image already there, so the publisher's patched components underneath are kept — you are adding a tool, not replacing the runtime. The command says what that does and does not cover.

If `PRESENT`, the CLI is already in the manifest — skip the rebuild.

Phase 4b: Copy and Run the Dependency Guard

The Vercel CLI is a globally-installed binary — not importable or typed — so a structural test guards the install. Copy it into the host test tree and run it:

cp .claude/skills/add-vercel/vercel-manifest.test.ts src/vercel-manifest.test.ts
pnpm exec vitest run src/vercel-manifest.test.ts

The test asserts both halves of the install: a pinned `vercel` entry in `container/cli-tools.json`, and the container skill at `container/skills/vercel-cli/`. Either alone is a broken install — a manifest entry with no skill leaves the agent a binary nobody told it about, and a skill with no entry tells it to run a command that is not there.

Phase 5: Sync Skills to Running Agent Groups

Container skills are copied once at group creation and not auto-synced. After installing or updating a container skill, sync it to all existing agent groups:

for session_dir in data/v2-sessions/ag-*; do
  if [ -d "$session_dir/.claude-shared/skills" ]; then
    rsync -a container/skills/ "$session_dir/.claude-shared/skills/"
    echo "Synced skills to: $session_dir"
  fi
done

Phase 6: Restart Running Containers

Stop all running agent containers so they pick up the new skills on next wake:

docker ps --filter label=nanoclaw-session -q | xargs -r docker stop

Done

The agent can now deploy web applications to Vercel. Key commands:

  • `vercel deploy --yes --prod --token placeholder` — deploy to production
  • `vercel ls --token placeholder` — list deployments
  • `vercel whoami --token placeholder` — check auth

For the full command reference, the agent has the `vercel-cli` container skill loaded automatically.

Read more
Ships withnanoclaw

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 jobs, and runs directly on Anthropic's Agents SDK

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Repo: nanocoai/nanoclaw

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