Marketplace

Curate and clean training datasets: deduplication, quality scoring, bias detection, and data augmentation strategies.

Validate and test tool/function calling schemas: JSON Schema compliance, edge case generation, parameter boundary testing, and mock servers.

Create production-grade tools/functions that AI agents can call: define schemas, implement handlers, add validation and error handling.

Use when designing or changing a feature and you need a STRIDE threat model: map the system, enumerate threats per element, and rank mitigations.

Design statistically rigorous A/B tests: hypothesis formation, sample size calculation, metric selection, and guardrail setup.

Design event-driven systems: event schema design, broker selection, idempotency, ordering guarantees, and event sourcing.

Audit error handling across a codebase: unhandled rejections, swallowed exceptions, missing retries, and inconsistent error types.

Design and implement design systems: token architecture, component APIs, documentation patterns, and governance.

Manage API and feature deprecations safely: sunset timelines, migration guides, usage tracking, and forced upgrade paths.

Use when auditing a codebase or diff for security defects: map attack surface, hunt OWASP-class bugs, and rate each finding by real exploit path.

Use when credentials may be exposed in code, config, logs, or git history: find them, judge real exposure, and drive rotation and cleanup.

Find and safely remove dead code: unreachable branches, unused exports, orphaned files, and stale configuration.

Design data governance frameworks: data classification, lineage tracking, access policies, retention, and compliance mapping.

Design ergonomic component APIs: prop design, composition patterns, accessibility defaults, and forward compatibility.

Conduct systematic competitor analysis: feature matrices, positioning maps, moat assessment, and strategic gap identification.

Create comprehensive onboarding documentation for any codebase: architecture maps, data flow diagrams, and gotchas for new developers.

Design recommendation systems: collaborative filtering, content-based, hybrid approaches, cold start, and ranking.

Build retrieval-augmented generation pipelines: chunking strategies, embedding models, vector stores, and reranking for accurate grounding.

Establish versioned prompt management: semantic versioning, A/B testing, rollback, and changelog practices for production prompt systems.

Use when reviewing a diff, PR, or staged changes: a five-pass protocol that yields severity-ranked findings with concrete failure cases.

Analyze customer churn: cohort analysis, churn signals, at-risk scoring, retention experiments, and win-back strategies.

Design WebSocket and real-time communication systems: connection management, reconnection, message protocols, and scaling.

Design comprehensive observability: metrics, logs, traces, and profiles with SLO-driven alerting and dashboard design.

Design multi-region active-active and active-passive architectures: data replication, failover, DNS routing, and consistency.