Imported from starchild-ai-agent/official-skills (agent-import/SKILL.md). Install upstream with npx skills add starchild-ai-agent/official-skills --skill agent-import. Copyright stays with the author.

Agent Import — Migration Bundle Loader

Download and load a migration bundle into this Starchild agent. The bundle is created by another agent using the agent-export skill.

Quick Start

When user provides a migration code and download token:

1. Run the import script to download & extract
2. Review the extracted data with the user
3. Apply each component using native tools

Step 1 — Download & Extract

The user will provide two values from the source agent: a CODE (8 chars) and a DOWNLOAD_TOKEN.

python3 skills/agent-import/scripts/download.py <CODE> <DOWNLOAD_TOKEN>

The script downloads through the Fly internal network only (sc-agent-migration.internal). Public download is forbidden by relay policy. If the internal network is unreachable, import fails and must be retried from a Fly machine. The download token authorizes the download; it is single-use and expires with the code (1 hour TTL).

On success the script extracts the bundle to migration/ and prints a summary of what's included.

Step 2 — Review Contents

Read and summarize what the bundle contains before applying anything:

cat migration/manifest.json
cat migration/memory/agent.json 2>/dev/null
cat migration/memory/user.json 2>/dev/null
cat migration/identity/profile.json 2>/dev/null
cat migration/identity/soul.md 2>/dev/null
cat migration/user/settings.json 2>/dev/null
cat migration/tasks/tasks.json 2>/dev/null
cat migration/env/keys.json 2>/dev/null
find migration/files/ -type f 2>/dev/null

Always show the user a summary and ask for confirmation before applying.

Step 3 — Apply Components

Apply each component using Starchild native tools. The order matters:

3a. User Settings (first — sets timezone/language for everything else)

Read migration/user/settings.json, then call:

user_settings(action="update", settings={
  "name": "...",
  "what_to_call": "...",
  "timezone": "...",
  "language": "..."
})

Only include fields that are present in the JSON.

3b. Agent Identity

Read migration/identity/profile.json, then call:

agent_profile(action="update", profile={
  "name": "...",
  "vibe": "...",
  "emoji": "...",
  "creature": "..."
})

3c. SOUL.md

If migration/identity/soul.md exists, read it and write to prompt/SOUL.md.

Merge with existing SOUL.md if it has content. Don't overwrite platform defaults blindly — integrate the personality bits.

3d. Memory — Agent

Read migration/memory/agent.json, for each entry call:

memory(action="add", target="memory", content="<entry>")

⚠️ Memory has a 5000 char limit. If the bundle has many entries, prioritize the most useful ones. Check current usage with memory(action="read") first.

3e. Memory — User

Read migration/memory/user.json, for each entry call:

memory(action="add", target="user", content="<entry>")

⚠️ User memory has a 3000 char limit. Prioritize preferences and corrections.

3f. Tasks

Read migration/tasks/tasks.json, for each task:

1. scheduled_task(action="register", title=..., schedule=..., description=..., channels=...)
2. Write the run.py script based on the description
3. Test it: bash("python3 tasks/{job_id}/run.py")
4. scheduled_task(action="activate", job_id=...)

Tasks need actual implementation — the description is a spec, not runnable code. Use your judgment to build each task's script.

3g. Environment Keys

Read migration/env/keys.json, then call:

request_env_input(env_vars=[...], reason="Migration from <source>")

This prompts the user to enter values securely.

3h. Files

Copy files from migration/files/ to the workspace:

cp -r migration/files/* . 2>/dev/null

Review what's being copied and skip anything that would overwrite important existing files.

Step 4 — Cleanup

rm -rf migration/ migration-bundle.tar.gz

Error Handling