DEMO / RECORDING
From the original post
Introducing Jev Skill Suggestion for Claude Code
Now you can keep your skills completely out of the context window until they’re actually needed
Set your skills as user invocable only, and the Mod sends the available skill list to Jev
For every request, Jev classifies which skill best matches the task, then injects only that skill into Claude’s context
Works with both the @typesafeai API and @vercel AI Gateway
Install it with one command:
npx claude-code-templates@latest --mod productivity/jev-skill-suggestion
Full implementation details on the Mod page at
How Jev fits in the loop
- Agent collects runtime context or input state from external sources.
- Bounded decision options are formatted into Jev System One questions.
- Jev scores each candidate option and returns a probability for it.
- Deterministic code executes the selected action or routes to specialized models.
How to reproduce
- Read the author's original post on X at https://x.com/dani_avila7/status/2101885477158547753.
- Inspect the described workflow architecture and bounded decision points.
- Test Jev System One decision queries against the provided task context.
Why this build matters
Demonstrates real-world Jev Skills experimentation by @dani_avila7 with verified community reach of 76.1k views.
Limitations
- Implementation details are based on the author's public post on X.
- Performance figures and benchmarks are author-reported community claims.
- Production deployments may require custom calibration and policy thresholds.