Loading...
Loading...
Found 17 Skills
Use when a skill, plan, or rule file needs a frozen Starlark governance rule block generated, or an existing frozen block drift-checked against a candidate. Invoke explicitly — not for general rule discussion.
Drift detection + baseline integrity guard for agent workspace files with automatic alerting support
Compares current live GTM container against last known state from gtm-implementation-log.json. Shows what tags, triggers, and variables have been added, deleted, or modified since the last skill run. Read-only, no changes made. Prevents accidentally overwriting manual GTM changes. Trigger on - "what changed in GTM", "gtm diff", "check for manual changes", "gtm drift", "what's different in my container", "has anything changed".
Do the work. Pre-flight, build, detect drift, salvage if needed. Use when you have a clear aim and are ready to implement.
Track long-horizon objectives across multiple sessions with milestone checkpoints, progress persistence, and drift detection
This skill should be used when comparing Lisa's source templates against a target project's implementation to identify drift. It validates the Lisa directory, detects project types, reads the manifest, compares files, categorizes changes, and offers to adopt improvements back into Lisa. This is the inverse of lisa:review-implementation.
Monitoring and observability patterns for Prometheus metrics, Grafana dashboards, Langfuse LLM tracing, and drift detection. Use when adding logging, metrics, distributed tracing, LLM cost tracking, or quality drift monitoring.
Generate and maintain documentation with drift detection
Check work and detect drift before committing. A second opinion that catches misalignment early. Use at natural pause points, before PRs, or when something feels off.
Align spec files with implementation. Detects drift between spec and code, surfaces discrepancies, user decides whether to update spec or code. Use when both a spec file and its implementation are in context.
Эксперт A/B тестирования. Используй для статистических тестов, экспериментов и ML-оптимизации.
Validate specifications, implementations, constitution compliance, or understanding. Includes spec quality checks, drift detection, and constitution enforcement.