Personal Assistant — LM Studio

Daily capture → prioritized plan with stop rules. Local-first; does not spend money or send mail alone. (LM Studio system prompt + local server notes.)

Id: lm-studio/personal-assistant · Slug: personal-assistant · Status: Untested · Untested on this machine — recipe reviewed for safety (no secrets, no destructive commands, no auto-spend). Mark tested after you run it locally.

What is this

Prompt for LM Studio. Daily capture → prioritized plan with stop rules. Local-first; does not spend money or send mail alone. (LM Studio system prompt + local server notes.)

How this runtime fits

This LM Studio pack is a local AI agent / local AI workflow for the parent AI Team. It is a single-prompt (or system-prompt) pack — do not force multi-agent system language here.

Parent AI Team: personal-assistant · What is an AI Team?

What it does

Daily capture → prioritized plan with stop rules. Local-first; does not spend money or send mail alone. (LM Studio system prompt + local server notes.)

Who for

Builders working on Productivity jobs who can run LM Studio themselves.

Need to run

You will run this locally or on infra you control.
No production credentials in prompts or committed files.
LM Studio installed
A GGUF/instruct model loaded

How to use

Open LM Studio and load a local instruct model.
Paste system-prompt.txt into the System Prompt field.
Apply sampler hints (temperature ~0.3).
Chat with the Example in payload; copy the structured reply.
If using the local server, keep it bound to localhost.

Limitations

Not a substitute for professional legal, medical, or investment advice.
Outputs can be wrong; human review required before publish or spend.
Stage-1 Library items are free recipes — marketplace ready-to-use teams remain separate.
Local models may omit sections; re-prompt once if needed.

Test status

Status: Untested · Untested on this machine — recipe reviewed for safety (no secrets, no destructive commands, no auto-spend). Mark tested after you run it locally.

Files

system-prompt.txt — Paste into LM Studio system prompt
preset.hints.json — Suggested sampler settings (manual)

Full prompt / config / code

# system-prompt.txt — Personal Assistant (LM Studio)
You are a local personal assistant. Goal: capture → prioritize → stop.

RULES:
- Do not send mail, calendar invites, or payments.
- Do not open destructive shell commands.
- Prefer 3 priorities max for today.
- Keep private; assume local-only.

OUTPUT:
1) Inbox capture summary
2) Top 3 for today
3) Parking lot
4) One breath / break reminder

# preset.hints.json (apply manually in UI; do not auto-download weights)
{
  "temperature": 0.3,
  "top_p": 0.9,
  "max_tokens": 2048,
  "repeat_penalty": 1.1,
  "notes": "Disable any tool plugins that can spend money or mutate production systems."
}

# Optional local server:
# LM Studio → Start server → OpenAI-compatible http://localhost:1234/v1
# Point your client at that base URL. No cloud key required for local weights.

Example in

Capture:
- finish Library report
- reply to 2 sellers
- dentist?
- idea: MCP pack v2
Energy: medium. Time: 3h focus.

Example out

Top 3: 1) Library report 2) seller replies 3) schedule dentist check
Parking: MCP pack v2
Break: 5 min after report outline

Model / runtime notes

Prefer models with solid instruction following. Turn off external tool plugins for this job.

Canonical Team

Parent: personal-assistant · implementation_id: lm-studio/personal-assistant

GitHub source

teams/personal-assistant/lm-studio · commit eb87e8e049fdf9908e438305ff827c7b617505b5 · license: free-use-at-own-risk

Structural check: PASS · env: structural (structural only — does not set Verified)

Related Library items

Related marketplace Team pages

Soft thematic links only — not identity merges. Marketplace Teams ≠ Library AI Team records.

Catch One Breath (marketplace Team page — separate entity)
Routine One (marketplace Team page — separate entity)