Live Hugging Face model proofing, ATS resume scoring and career tools by Ambuj Kumar Tripathi
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Perform heuristic ATS compliance checks (keyword coverage, word count, metrics density, parseable formatting, contact info).
Generated cover letter text
Target job description text (optional for keyword matching)
Perform heuristic ATS compliance checks (keyword coverage, word count, metrics density, parseable formatting, contact info).
| Argument | Type | Description |
|---|---|---|
| jd_text | string | Target job description text (optional for keyword matching) |
| letter_text* | string | Generated cover letter text |
{
"type": "object",
"required": [
"letter_text"
],
"properties": {
"jd_text": {
"type": "string",
"description": "Target job description text (optional for keyword matching)"
},
"letter_text": {
"type": "string",
"description": "Generated cover letter text"
}
}
}Search web for verified company information, tech stack, and engineering culture using Tavily API and grounded synthesis.
| Argument | Type | Description |
|---|---|---|
| focus_areas | array | Optional focus areas like tech_stack, culture, recent_news |
| company_name* | string | Target company name (e.g. Stripe, Razorpay) |
{
"type": "object",
"required": [
"company_name"
],
"properties": {
"focus_areas": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional focus areas like tech_stack, culture, recent_news"
},
"company_name": {
"type": "string",
"description": "Target company name (e.g. Stripe, Razorpay)"
}
}
}Synthesize structured, evidence-grounded cover letter paragraphs with in-line citations and tone alignment.
| Argument | Type | Description |
|---|---|---|
| role* | string | Target role title |
| tone | string | Tone style: professional, confident, technical, humble |
| company* | string | Target company name |
| candidate_name* | string | Candidate name |
| matched_skills* | array | Verified matched skills with evidence |
| approved_company_facts | array | Verified company research facts |
{
"type": "object",
"required": [
"candidate_name",
"role",
"company",
"matched_skills"
],
"properties": {
"role": {
"type": "string",
"description": "Target role title"
},
"tone": {
"type": "string",
"description": "Tone style: professional, confident, technical, humble"
},
"company": {
"type": "string",
"description": "Target company name"
},
"candidate_name": {
"type": "string",
"description": "Candidate name"
},
"matched_skills": {
"type": "array",
"items": {
"type": "object"
},
"description": "Verified matched skills with evidence"
},
"approved_company_facts": {
"type": "array",
"items": {
"type": "string"
},
"description": "Verified company research facts"
}
}
}Validate factual resume claims against verified web source citations using deterministic Claim Ledger verification. Rejects unsupported claims.
| Argument | Type | Description |
|---|---|---|
| claims* | array | List of candidate claims |
| sources* | array | List of source citations with url and content |
{
"type": "object",
"required": [
"claims",
"sources"
],
"properties": {
"claims": {
"type": "array",
"items": {
"type": "string"
},
"description": "List of candidate claims"
},
"sources": {
"type": "array",
"items": {
"type": "object"
},
"description": "List of source citations with url and content"
}
}
}Inspect public GitHub repositories, code languages, commit activity, stars, and forks to fact-check candidate technical claims. Validates evidence-backed claims and flags uncorroborated technical claims.
| Argument | Type | Description |
|---|---|---|
| technical_claims | array | List of technical claims to cross-reference against code repositories |
| candidate_github_or_resume* | string | GitHub username, URL, or resume text containing GitHub link |
{
"type": "object",
"required": [
"candidate_github_or_resume"
],
"properties": {
"technical_claims": {
"type": "array",
"items": {
"type": "string"
},
"description": "List of technical claims to cross-reference against code repositories"
},
"candidate_github_or_resume": {
"type": "string",
"description": "GitHub username, URL, or resume text containing GitHub link"
}
}
}Inspect public Hugging Face assets (models, spaces, datasets, lifetime and rolling 30-day downloads) to verify GenAI, LoRA, GGUF, and LLM fine-tuning claims.
| Argument | Type | Description |
|---|---|---|
| ai_technical_claims | array | AI/ML claims to verify |
| candidate_hf_or_resume* | string | Hugging Face username or resume text |
{
"type": "object",
"required": [
"candidate_hf_or_resume"
],
"properties": {
"ai_technical_claims": {
"type": "array",
"items": {
"type": "string"
},
"description": "AI/ML claims to verify"
},
"candidate_hf_or_resume": {
"type": "string",
"description": "Hugging Face username or resume text"
}
}
}Parse target Job Description and match required skills against candidate experience with evidence classification and gap detection.
| Argument | Type | Description |
|---|---|---|
| jd_text* | string | Job description text |
| resume_text* | string | Candidate resume text |
{
"type": "object",
"required": [
"jd_text",
"resume_text"
],
"properties": {
"jd_text": {
"type": "string",
"description": "Job description text"
},
"resume_text": {
"type": "string",
"description": "Candidate resume text"
}
}
}Audit and categorize research source domains into authoritative tiers (Tier 1: Official/SEC, Tier 2: Reputable tech press, Tier 3: Aggregators) and discard promotional spam.
| Argument | Type | Description |
|---|---|---|
| sources* | array | List of research sources with url and content |
| company_domain | string | Target company primary domain (e.g. stripe.com) |
{
"type": "object",
"required": [
"sources"
],
"properties": {
"sources": {
"type": "array",
"items": {
"type": "object"
},
"description": "List of research sources with url and content"
},
"company_domain": {
"type": "string",
"description": "Target company primary domain (e.g. stripe.com)"
}
}
}