skills-vote
Find the most relevant external agent skills for the current task, then submit grounded feedback about which skills were actually used and useful in the same…
Use when retrieving the most relevant skills from a local or private skill library instead of relying on network-based skill discovery.
$ npx -y skills add MemTensor/skills-vote --skill skills-vote-local --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/skills-vote-localContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when retrieving the most relevant skills from a local or private skill library instead of relying on network-based skill discovery.
name: 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. metadata: version: "1.0.0"
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:
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:
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:
uv run -qq scripts/route_prompt.py --role subagent
Then follow the rendered stdout exactly.
SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution
Repo: MemTensor/skills-vote
Find the most relevant external agent skills for the current task, then submit grounded feedback about which skills were actually used and useful in the same…