Why RChilli parser is not fetching skills

If the RChilli parser is not fetching skills, there are several possible causes you can investigate. Below is a structured breakdown of the most common reasons and how to resolve them:

✅ 1. Skills Not Present in Expected Sections

RChilli fetches skill-level experience (e.g., number of years) only when this data is explicitly mentioned in specific resume sections like Experience or Projects.

• Grouped Skills: The parser outputs skills under two main formats:

  • SkillKeyword: A simple list of skills (comma-separated).

  • SkillSegregation: A detailed structure with taxonomy mapping, type, and source section.

• If a resume lists skills in a non-standard format or outside expected sections, the parser might miss them.

🔗 Why are skills grouped together instead of showing experience?

✅ 2. Dynamic API Settings May Disable Skills

If you're using dynamic API settings (apisetting node in the API call), ensure these values are correctly set:

• If reqskills or reqskillsdrill is false, skills will not be included.

• Check your API request payload or the My Account portal configuration for these flags.

✅ 3. Resume Format or File Issues

Check that the resume is:

• In a supported format (DOC, DOCX, PDF, TXT, etc.).

• Not image-only (e.g., scanned PDFs without OCR).

• Within the maximum character size (default is 60,000 chars).

Corrupt or misformatted resumes might parse partially or skip certain data fields.

✅ 4. Taxonomy Support and Language Issues

Ensure:

• The skills in the resume are present in RChilli’s Taxonomy 3.0 (3M+ skills, 2.4M+ job profiles).

• The resume is in a supported language.

You can enhance recognition using RChilli's Taxonomy API for synonyms, comparable terms, and multilingual support.

✅ 5. Resume Quality or Inconsistencies

Some resumes may use vague language or inconsistent formatting. RChilli provides a ResumeQuality section in the output that highlights:

• Missing fields

• Formatting issues

• Skill anomalies

Enable this feature via the API settings to troubleshoot further.

🔧 Suggested Actions

1. Validate Input Resume: Make sure it's clear, structured, and includes skills in professional sections.

2. Enable Required Settings: Double-check your API payload for reqskills, reqskillsdrill, and reqtaxonomy.

3. Use ResumeQuality and HTMLOutput: These help assess resume structure and presentation.

4. Check Output JSON: Look under SkillSegregation for detailed skill data even if SkillKeyword looks sparse.

5. Try With LLM Parser: Consider enabling isllmparser: true in the API settings for enhanced skill recognition via AI.

📩 Still Facing Issues?

Please send:

• The sample resume.

• API request (payload).

• API response JSON.

To 👉 support@rchilli.com for a deeper review.