auto-skill-bootstrap

Automated skill discovery maps task requirements to project capabilities, identifies missing skills, and searches for candidates to install. It filters results using a defined trust policy and prompts for approval before installing untrusted skills.

Mapping task requirements involves scanning your project to inventory existing skills and comparing them against the capabilities your current task needs. This identifies capability gaps and triggers a search for candidate AI tools.

Filtering AI skills based on a trust policy ensures only allowlisted candidates are automatically considered, while denylisted ones are blocked. Untrusted skills require explicit user approval before installation proceeds.

Yes, the Skills CLI is required to search for candidate AI tools. The automation relies on the Skills CLI to query platforms like skills.sh and retrieve potential skills for installation based on your capability gaps.

The best way to identify missing capabilities is to run an automated gap analysis that inventories your existing skills and compares them against your task requirements. This highlights missing skills and suggests candidates for installation.

Guided skill installation requires user approval to enforce trust policies and ensure security. Untrusted skills found during the candidate search must be manually approved before they are installed into your project environment.