---
name: memtensor-skills-vote-local
description: "Use when retrieving the most relevant skills from a local or private skill library instead of relying on network-based skill discovery."
license: "MIT"
metadata:
  decimalai-skill-id: "73d10a4f-b8bc-4fe8-a54b-789b3e84eac3"
  decimalai-version-id: "4c6011c6-f311-4309-8b6b-b781a393613b"
  decimalai-version: "1"
  decimalai-body-sha256: "65410ef80f47ccac0ce4400ba7fc909ca2c43fb8374a97a66bfe2c5a0c326207"
  decimalai-name: "memtensor/skills-vote-local"
  decimalai-format: "1"
  decimalai-invocation: "model"
  decimalai-category: "agent-tooling"
  decimalai-source: "https://app.decimal.ai/s/memtensor-skills-vote-local@1/SKILL.md"
---
# Skills Vote Local

Read only this file first. Do not read `scripts/`, `docs/`, or any other files in this skill unless this file or a script output explicitly tells you to do so.

Use this skill when the current task needs skill discovery from a local or private skill library instead of a network service.

All paths mentioned in this file are relative to this skill root. `cd` to this root directory before running any command here.

Run:

```bash
uv run -qq scripts/route_prompt.py --role main
```

Then follow the rendered stdout exactly.

If routing.mode selects a subagent route, the user configuration explicitly requests subagent-based skill lookup.
The main agent should use subagent delegation when the current host/tooling permits it.

Do not use fallback merely because the current user message did not repeat "use subagent".

If the current host, tool policy, runtime, or authorization model cannot create a subagent in this turn, run:

```bash
uv run -qq scripts/route_prompt.py --role main --fallback
```

Then follow the fallback stdout exactly.

If you are a subagent and you read this file directly, do not run this command with `--role main`. Run:

```bash
uv run -qq scripts/route_prompt.py --role subagent
```

Then follow the rendered stdout exactly.