Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Diagnose and fix Agent Zero plugin problems. Covers plugin not appearing, won't enable, API endpoints not responding, frontend store errors, extension point injection, settings resolution, hooks.py issues, and log inspection. Use when a plugin is not working, not loading, crashing, missing from the list, or behaving unexpectedly.
Full audit of Agent Zero plugins in usr/plugins/. Reviews manifest validity, directory structure, code patterns (Store Gating, notifications, imports), security, and duplicate detection against the community index. Use when asked to review, audit, validate, or check an existing plugin before using or contributing it.
End-to-end verification of a change to keploy/keploy using keploy's own record/replay against a real sample application. Use whenever the user asks to test a change, verify a fix, prove that a modification works in practice, add e2e coverage for a PR, reproduce a bug against a sample app, or wire a behavior into CI. Covers deciding whether e2e is the right signal, finding or extending an existing sample script, or (only when necessary) adding a new sample and matrix entry following the repo's conventions.
Debug distributed training failures (NeMo, Megatron, PyTorch) from worker stderr logs and optional AIStore daemon logs. Finds root cause across NCCL timeouts, data loading errors, and storage failures.
Audit the adaptive window hill-climber and region-resize logic for implementation defects (not algorithm quality)
Hostile full-codebase review by parallel adversarial agents with no design context — finds bugs that domain familiarity masks
Analyze behavior under adversarial or extreme API inputs
Audit for arithmetic and boundary bugs (overflow, off-by-one, drift)
Find places where documented API contracts and the implementation diverge
Attempt formal correctness proofs for all public cache methods