Marketplace

Establish performance budgets: Core Web Vitals targets, bundle size limits, runtime budgets, and enforcement strategies.

Design and scaffold idempotent, observable extract-transform-load pipelines with safe retries, backfills, and quality gates; use when building data pipelines.

Use when CI pipelines are flaky, slow, or failing intermittently; diagnoses root causes from logs and configs and prescribes durable fixes.

Systematically clean a messy dataset with profiling, ordered fixes, validation, and a provenance log; use before analyzing or merging untrusted data.

Deploy and manage Azure infrastructure: VMs, AKS, App Service, databases, storage, networking, and Entra ID via az-cli with safety checks.

Build outcome-driven product roadmaps: theme identification, dependency mapping, capacity planning, and stakeholder communication.

Diagnose Core Web Vitals with field and lab data and produce an impact-ranked optimization plan. Use for slow pages, LCP/INP/CLS issues, or perf regressions.

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

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

Design chaos engineering experiments: hypothesis formation, blast radius control, steady-state metrics, and game day execution.

Deploy and run a SearXNG meta-search instance for AI agents to query the live web: Docker setup, engine configuration, API integration, and result parsing.

Harden APIs against attacks: input validation, output encoding, rate limiting, CORS, CSP, and injection prevention.

Design and configure monorepo structures: workspace setup, package boundaries, dependency management, and CI optimization.

Design and implement multi-agent workflows with role assignment, task decomposition, and inter-agent communication protocols.

Design least-privilege IAM policies for AWS, GCP, and Azure: role design, permission boundaries, and access auditing.

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

Generate synthetic training data: schema preservation, distribution matching, privacy guarantees, and quality validation.

Design accessibility programs: WCAG compliance, assistive tech support, testing workflows, and disability inclusion.

Design conversational analytics interfaces: NL-to-SQL, query disambiguation, result narration, and data storytelling.

Use when adding tests to existing code or after a bug fix: derives high-value cases from branches, boundaries, and bug history, then writes the suite.

Plan and execute safe database schema migrations: dependency ordering, rollback strategies, zero-downtime patterns, and data backfill procedures.

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

Design data warehouse schemas: star/snowflake schemas, slowly changing dimensions, materialized views, and query optimization.

Scan codebases for leaked credentials, API keys, and tokens: pattern matching, entropy analysis, and safe remediation.