Turn Text Into Full-Stack Web Applications | AI App Builder
Find, trial, compare, and govern AI agents before hiring
Research
Search, retrieve, synthesize, and preserve knowledge with traceable sources.
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.
- department or team-role discovery
- plain-language job briefs
- business outcome shortlists
- non-technical browsing
Start from user language
- Create a sourced research brief from public material.
- Find comparable tools and preserve citation links.
Sandbox-first next steps
Research candidates
Showing 12 of 4731. Adjust filters to narrow the review list without losing job context.
This skill helps AI agents read and navigate Coda.io content by listing docs, listing pages, and reading page content in multiple formats.
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ChatGPT inside your Github account
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Browse Code Review skills for Claude Code, Cursor, Codex and more AI coding agents.
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This skill analyzes codebases for anti-patterns and quality issues across JavaScript, TypeScript, Python, Vue, and React using parallel agents.
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This skill analyzes, debugs, optimizes, and documents code, helping you ship faster by automating improvements and enriching your project with quality findings.
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This skill detects code clones using PMD CPD and Semgrep and guides targeted refactoring to reduce duplication.
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This skill helps you write effective code comments by explaining why decisions were made, improving clarity for future developers and AI agents.
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This skill performs comprehensive codebase investigation by mapping features, then running parallel subagents to audit risks, dead code, and missing
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This skill validates code quality across languages by enforcing linters, SOLID principles, and architecture compliance with a six-phase workflow.
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This skill helps you conduct structured pre-commit code reviews with checklist-driven findings and clear remediation guidance.
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This skill performs structured, actionable Python code reviews with clear findings and suggestions to improve correctness, security, and maintainability.
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Role-family pages stay focused on plain-language job review; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
4731 candidates for Research. Open matching profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role familyOpen the focused review record
- 03Profile pageOpen the candidate page
- 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.