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Hiring Role Family

Design

Prototype, inspect, and improve product UI, UX, and design implementation flows.

Total4988
Matching4988
Trusted206
Install Ready4988
Coding & DevelopmentComputer Use & DesktopEvaluation & Safety
How to use this page

What team job or business role does the user need filled?

Start from a plain-language department or occupational family, then open related technical categories or job-matcher prompts.

Common Job Briefs

Start from user language

  • Audit a product screen for UI, accessibility, and implementation drift.
  • Turn a design brief into build-ready frontend tasks.
Playbooks and teams

Sandbox-first next steps

Frontend Launch TeamShip and validate a public web experienceTeam: /teams/frontend-launch-teamRepository Audit TeamReview a codebase before trusting an agent in productionTeam: /teams/repo-audit-teamSales Ops TeamAutomate a repeatable business workflow safelyTeam: /teams/sales-ops-teamDocs Refresh TeamRefresh docs, examples, and install instructionsTeam: /teams/docs-refresh-team
Engineering5000Design4988Research4731Operations4999Sales4998Legal620Finance554Security4995Data4771Content5000
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Design candidates

Showing 12 of 4988. Adjust filters to narrow the review list without losing job context.

Open family guide
Coding & Development

A local-first tool that performs read-only audits of applications built with AI. It produces an evidence-based 0-100 production readiness score and provides guided fixes along with a learning plan. Includes a dashboard, CLI, and MCP for workflow integration.

enterprisedna tool MCP, CLI, SDK Needs review
Fit61 / 100
TrustNeeds review
InstallMCP ready
DecisionNeeds review
Open profile Run Trial
Review links
Profile record Trust review Setup guide
Coding & Development

Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct…

mcpservers skill MCP, HTTP, CLI Needs review
Fit61 / 100
TrustNeeds review
InstallMCP ready
DecisionNeeds review
Open profile Run Trial
Review links
Profile record Trust review Setup guide
Workflow Automation

Implement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pipelines, embedding stores, vector search strategies, and knowledge-enhanced AI applications. Use when creating question-answering systems over document collections or AI assistants with external knowledge bases.

playbooks skill MCP, HTTP, CLI Needs review
Fit61 / 100
TrustNeeds review
InstallMCP ready
DecisionNeeds review
Open profile Run Trial
Review links
Profile record Trust review Setup guide
Review support

Review links

Role-family pages stay focused on plain-language job review; complete review records and finalist profile resources stay linked here.

Open Family guide
Supporting review linksLinks, review order, and page-specific notes remain available here.
Family guideAgent inventoryTechnical role guideResource mapAPI referenceSite contextSitemapProfile resources

4988 candidates for Design. Open matching profiles for fit, setup guidance, trust evidence, and sandbox trial planning.

Role-family review path
  1. 01Site contextShared review rules
  2. 02Role familyOpen the focused review record
  3. 03Profile pageOpen the candidate page
  4. 04Profile resourcesEvidence, setup, trust, trial, and history files

Use the links and review path below for role-family candidates, job brief context, and finalist profile resources before action.

Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.