PIsberg
UserSkill3 is a lightweight Java CLI that relearns a technical skill for an AI agent. It discovers documentation sources, scores them for authority and freshness (anchored to a target model's knowledge cutoff), synthesizes them with a local LLM into an Agent Skills SKILL.md, and vets the result with NVIDIA's SkillSpector.
Categories
Indexed Skills (6)
vibetags-usage
This skill should be used when the user asks how to "use VibeTags", "add VibeTags annotations", "set up AI guardrails", "protect code from AI", "configure AI platforms", asks about @AILocked, @AIContext, @AIDraft, @AIAudit, @AIIgnore, @AIPrivacy, @AICore, @AIPerformance, @AIContract, @AITestDriven, @AIThreadSafe, @AIImmutable, @AIDeprecated, @AIObservability, @AIRegulation, @AIArchitecture, @AILegacyBridge, @AIStrictClasspath, @AIInternationalized, @AIPublicAPI, @AISchemaSafe, @AIStrictExceptions, @AIStrictTypes, @AIParallelTests, @AIIdempotent, @AIFeatureFlag, @AISecure, @AICallersOnly, @AISandboxOnly, @AIMemoryBudget, @AIPure, @AIDomainModel, @AIExtensible, @AIInputSanitized, @AISecureLogging, @AIExplain, @AIPrototype, @AISunset, @AITemporary annotations, or wants to control how AI tools interact with Java code.
vibetags-usage
This skill should be used when the user asks how to "use VibeTags", "add VibeTags annotations", "set up AI guardrails", "protect code from AI", "configure AI platforms", asks about @AILocked, @AIContext, @AIDraft, @AIAudit, @AIIgnore, @AIPrivacy, @AICore, @AIPerformance, @AIContract, @AITestDriven, @AIThreadSafe, @AIImmutable, @AIDeprecated, @AIObservability, @AIRegulation, @AIArchitecture, @AILegacyBridge, @AIStrictClasspath, @AIInternationalized, @AIPublicAPI, @AISchemaSafe, @AIStrictExceptions, @AIStrictTypes, @AIParallelTests, @AIIdempotent, @AIFeatureFlag, @AISecure, @AICallersOnly, @AISandboxOnly, @AIMemoryBudget, @AIPure, @AIDomainModel, @AIExtensible, @AIInputSanitized, @AISecureLogging, @AIExplain, @AIPrototype, @AISunset, @AITemporary annotations, or wants to control how AI tools interact with Java code.
add-annotation
Add a new @AI... guardrail annotation to VibeTags — wire it through AnnotationCollector, every platform renderer, GranularRenderer, BuildFingerprint, and AnnotationValidator, then update all four docs. Use when the user says "add annotation", "new @AI annotation", "add a new guardrail annotation", or wants VibeTags to support a new kind of AI instruction on Java code.
add-platform
Add support for a new AI coding tool, IDE, PR-reviewer, or context-packer to VibeTags — wire a new generated output file through ServiceRegistry, Platform, the renderer registry, and (if granular) GranularRulesWriter. Use when the user says "add platform support", "support <tool>", "generate a new output file for X", "new AI platform", or names an AI coding assistant/IDE/PR-reviewer/context-packer VibeTags doesn't yet generate a file for.
release
Cut a new VibeTags release — bump the version everywhere, update the CHANGELOG, open the release PR, and create the GitHub release that triggers Maven Central publishing. Use when the user says "release", "/release", "cut a release", "publish a new version", or asks to bump VibeTags to a new version.
vibetags-guardrails
AI guardrails and coding rules generated by VibeTags from @AILocked, @AIContext, and related annotations. Load this skill when writing, reviewing, or modifying code in this project.
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.