Marketplace

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

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

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

Design GraphQL schemas: type design, N+1 prevention, pagination patterns, mutation design, and schema evolution.

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

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

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

Use when a diff, commit log, or changelog must become polished release notes tailored to end users, developers, or internal stakeholders.

Systematically test layouts across viewports, breakpoints, zoom, and orientation, then fix breakage. Use before shipping UI or when a layout breaks on a device.

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

Generate typed SDK clients from API specifications: language-specific patterns, auth handling, pagination, and error mapping.

Implement search functionality: full-text search, faceted filtering, typo tolerance, relevance tuning, and search analytics.

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.

Design support ticket triage workflows: severity classification, routing rules, escalation paths, and SLA management.

Write clear technical specifications: RFC format, design alternatives, tradeoff analysis, and review-ready formatting.

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.

Synthesize user research interviews into actionable insights: affinity mapping, theme extraction, and opportunity prioritization.

Use when a feature or epic needs decomposition into a prioritized story map with user stories, acceptance criteria, and end-to-end release slices.

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.

Manage WordPress in all popular forms: wp-cli for self-hosted, REST API for headless, Gutenberg block manipulation, plugin/theme management, and performance hardening.

Design and run comprehensive eval suites for AI agents: task completion rates, tool call accuracy, cost tracking, and regression testing.

Use when an agent workflow needs measurable quality: build task-based evals with graders, baselines, and A/B comparisons before shipping changes.

Design self-improving agent systems: outcome tracking, reward signal extraction, prompt refinement cycles, and human preference collection.

Design seamless handoff protocols between specialized agents: context transfer, state serialization, and recovery on failure.