Use for tasks that define, repair, validate, or preserve external interface contracts: REST or FastAPI endpoints, Pydantic models, JSON Schema, OpenAI tool/function schemas, ChatML or SFT JSONL formats, request batching, streaming callbacks, and…
Use for configuration repair and validation tasks involving YAML, JSON, TOML, environment variables, Nginx, Docker Compose, Kubernetes manifests, feature flags, service settings, logging, rate limits, and runtime behavior controlled by config files.
Author Dockerfiles, docker-compose stacks, and Kubernetes manifests as text artifacts: multi-stage builds, layer caching, image-size discipline, service composition with health checks, Deployment/Service/ConfigMap manifests, and pure-Python verification of…
Use for bug-fixing and failure-investigation tasks: reproduce failing tests or builds, trace dependency or configuration errors, patch minimal code, audit vulnerabilities, fix package/build breakage, and verify the repaired behavior with regression tests.
Create, inspect, and fill Word `.docx` files with python-docx, including robust template replacement across paragraphs, tables, nested tables, headers, and footers.
Use for tasks that compute, compare, optimize, or report metrics: classification and retrieval metrics, campaign uplift, model or prompt comparisons, LLM-as-judge reports, statistical significance, budgeted optimization, and behavior-preserving performance…
Use for evidence and safety verification tasks: detect prompt injection, mask PII, classify factual or policy-sensitive claims, redact sensitive text, compare claims to trusted evidence, and produce auditable reports with precision, recall, F1,…
Use for migration tasks that convert systems or artifacts while preserving behavior: SQL schema/data migrations, Terraform or IaC migrations, serialization format migrations, rollback planning, state movement, compatibility checks, and before/after validation.