pi-jev-skill-picker
Pi extension that removes the skill catalogue from the system prompt and adds a skill_search tool where Jev rates each skill 0-2.
Overview
pi-jev-skill-picker keeps Pi's Agent Skills catalogue out of model requests and replaces it with a ranking tool backed by Jev. Skills stay loaded, so /skill:name still works, but before each turn the extension strips the generated catalogue from the system prompt and gives the model tools to pull skills in on demand. skill_search takes a plain-language task description, rates every enabled skill and returns the full SKILL.md of those that apply.
Each skill is its own Score question with three levels: unrelated, adjacent, or directly applicable; Jev judges each skill independently so no keyword prefilter can drop one. Code applies a floor, sorts and loads winners. On a 137-skill catalogue, the README reports the catalogue was about 19,000 tokens (87% of the system prompt), and stripping it saved 84.6-87.9% per request, while one skill_search cost about 38,600 Jev input tokens or $0.0016. Without a key or on failures it falls back to lexical matching and says so.
What the decision model decides
| Type | Question | Answers |
|---|---|---|
| Score | How applicable is this skill to the task? | 0 unrelated · 1 adjacent · 2 directly applicable |
How it works
- Strip the skill catalogue from the system prompt.
- Model calls skill_search with a task description.
- Jev scores every enabled skill independently.
- Load skills above the floor; fall back to lexical matching on failure.
Strengths
- Large per-request token savings with many skills.
- Independent judgment per skill.
- Graceful lexical fallback.
Caveats
- Model must remember to call skill_search.
- Each search sends all skill descriptions to Jev.
Getting started
Install the extension into Pi and set your TypeSafe key.At a glance
- Type
- Agent skill
- Status
- beta
- Language
- TypeScript
- Runtime
- Pi extension
- Has code
- yes
Use cases and integrations
How curated lists describe it
Coding agents: ranks the Pi agent's installed skills against the current task with Jev before any of them run.
yibie/awesome-jevRank Pi Agent Skills for the current task with TypeSafe Jev.
hellogumbo/awesome-jevTakes Pi's generated skill catalogue out of the system prompt and puts a ranking tool in its place, so skills are pulled in on demand instead of carried in every request.
MrJev/awesome-jev
Frequently asked questions
How much does it save?
About 85-88% of per-request prompt tokens on a 137-skill catalogue, per the README.
How are skills ranked?
Each skill gets a 0-2 Score question judged independently.
What if Jev is unavailable?
It falls back to lexical matching and returns metadata instead of loaded instructions.
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