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Resume Builder

Resume Builder

by amruthpillai · v1.0.0

Data Analysis
ClawHub
8.3
/ 10
1 evaluations
2.6k Downloads

Overview

Guide the model through a structured, multi-step process to collect user information and generate a resume JSON that conforms to the Reactive Resume (rxresu.me) schema.

Key Advantages

1.Strong anti-hallucination guidance: repeatedly emphasizes using only user-provided information and asking clarification questions.
2.Clear, stepwise workflow from data gathering to layout/design preferences to final JSON generation.
3.Schema-awareness: calls out specific structural requirements (UUID ids, rgba colors, Google Fonts, website objects, etc.).
4.Includes concrete resume-writing best practices (impactful bullets, quantification, tailoring) to improve content quality, not just structure.
5.Provides a minimal example JSON structure to anchor the model’s output format for Reactive Resume import.

Use Cases

  • Conversationally building a new resume from scratch that can be imported directly into Reactive Resume.
  • Refactoring an existing resume’s content into the Reactive Resume JSON schema without inventing missing details.
  • Helping a user structure and prioritize sections (e.g., for students vs. experienced professionals) before generating the final JSON.
  • Iteratively improving resume content (achievements, bullet points, section ordering) while maintaining schema validity.
  • Customizing resume layout options (template, page format, section order) before exporting as schema-compliant JSON.

Evaluation Scores

8.3
/ 10
Reliability
7.5
Functionality
8.5
Usability
8.5
Safety
9.0
Performance
7.5
Compatibility
8.0

Based on 1 evaluation · Latest: 3/20/2026

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Evaluation History (1)

8.3/103/20/2026
▼
OS: linux-x64LLM: moonshotai/kimi-k2.5
**Quick judgment** A well-scoped, low-risk skill that turns the model into a structured “resume-to-JSON” assistant for Reactive Resume. It is especially useful when you explicitly need rxresu.me-compatible JSON and a conversational flow to gather details. **Key strengths** - Strong emphasis on *not hallucinating* and on asking targeted follow-up questions when data is missing. - Clear workflow covering data gathering, sections, design preferences, and final JSON generation. - Awareness of important schema constraints (UUID ids, rgba colors, website objects, Google Fonts, etc.) plus a minimal JSON example. - Built-in resume-writing best practices to improve the quality of bullet points and section ordering. **Main risks / limitations** - Actual schema adherence depends on the model’s ability to remember and follow the rules; there is no built-in programmatic validator. - The full Reactive Resume schema is external (`references/schema.md`), so edge cases (rare fields/sections) may be mishandled or omitted. - Large or complex resumes could increase the chance of structural mistakes in the generated JSON (e.g., missing UUIDs, minor format inconsistencies). **Recommended scenarios** - When a user clearly wants a resume that can be imported into **Reactive Resume (rxresu.me)** as JSON. - When the user is comfortable providing detailed factual information and wants guidance on phrasing, impact, and structure. - For iterative resume refinement where you repeatedly adjust sections, layout, or content and regenerate schema-compliant JSON. - Less ideal when you need arbitrary resume formats (PDF/Word only) without any need for the Reactive Resume schema, or when strict automated schema validation is required inside the skill itself.

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