PIsberg
UserVibeTags is a Java annotation processor that acts as AI guardrails for code generation tools like Cursor, Claude, Gemini, and Codex CLI. It allows developers to control AI behavior through simple annotations, protecting critical code and guiding AI implementations.
Categories
Indexed Skills (8)
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, @AIGenerated, @AILoadBearing, @AIBannedApi, @AIThreadAffinity, @AIKeepInSync annotations, or wants to control how AI tools interact with 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.
consumer-regression-suite
Build every downstream consumer of VibeTags against a chosen VibeTags version and report which ones actually pass. Use when the user says "regression suite", "consumer sweep", "test the consumers", "check the downstream repos", "does the new version break anything", or before cutting a VibeTags release.
load-tests
Run the VibeTags benchmark harness in load-tests/ and report the numbers honestly — annotation-volume and memory sweeps, JMH hot-path and cache-hit microbenchmarks, the processor-tax control — then record a release baseline under load-tests/results/. Use when the user says "load tests", "benchmarks", "capture a baseline", "did this get slower", "JMH", "performance regression", or before cutting a VibeTags release.
add-annotation
Add a new @AI... guardrail annotation to VibeTags — register it in GuardrailAnnotations, then wire it through every platform renderer, GranularRenderer, BuildFingerprint, and AnnotationValidator, and 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.
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.
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.