extract-resume-and-generate-profile

extract-resume-and-generate-profile is a skill for Claude Code from iterationlayer/skills. It costs 27 tokens per session (5,232 once invoked), scanned A, a copy of extract-product-data-and-generate-listing-image, MIT.

A two-step document recipe that extracts candidate information from a resume PDF and creates a formatted employee profile document.

In plain words
What is it for?
It helps staffing agencies and HR departments prepare employee profiles for internal systems during onboarding.
Why use it?
It removes repeated data entry when HR teams move information from resumes into standardized onboarding records.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the document-extraction plugin — 142 skills shipped together

Good fit It helps staffing agencies and HR departments prepare employee profiles for internal systems during onboarding.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/iterationlayer/skills/extract-resume-and-generate-profile
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add iterationlayer/skills --skill extract-resume-and-generate-profile
Clone the repo
git clone --depth 1 https://github.com/iterationlayer/skills

Made for: Claude Code.

Or install document-extraction, the plugin that ships this one along with the rest of its 142 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for extract-resume-and-generate-profile

README.md
[![agentmods](https://agentmods.dev/badge/skills/iterationlayer/skills/extract-resume-and-generate-profile/github.svg)](https://agentmods.dev/skills/iterationlayer/skills/extract-resume-and-generate-profile)
Your own site
<a href="https://agentmods.dev/skills/iterationlayer/skills/extract-resume-and-generate-profile"><img src="https://agentmods.dev/badge/skills/iterationlayer/skills/extract-resume-and-generate-profile/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/iterationlayer/skills/extract-resume-and-generate-profile"><img src="https://agentmods.dev/badge/skills/iterationlayer/skills/extract-resume-and-generate-profile.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,232 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 88% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00027 $0.05232
Opus 5 $0.00014 $0.02616
Sonnet 5 $0.00005 $0.01046
Haiku 4.5 $0.00003 $0.00523

Measured 7d ago against content hash dbf70c071a33, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

extract-resume-and-generate-profile scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

EXTRACTION=$(curl -s -X POST https://api.iterationlayer.com/document-extraction/v1/extract \
Origin

This is a copy

88% identical to extract-product-data-and-generate-listing-image — 712 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/extract-resume-and-generate-profile/SKILL.md · 631 lines

How it starts

The opening of the file, as written. The whole thing — 631 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Extract Resume Data and Generate an Employee Profile

Staffing agencies and HR departments use this pipeline to accelerate onboarding — extracting key details from a candidate's resume and generating a standardized employee profile document ready for internal systems.

APIs Used

Document Extraction (1 credit per page), Document Generation (1 credits/request)

Prerequisites

You need an Iteration Layer API key. Get one at platform.iterationlayer.com during the 7-day trial.

For full integration guidance (SDKs, auth, MCP, error handling), see the Iteration Layer Integration Guide.

Implementation

# Step 1: Extract resume data
EXTRACTION=$(curl -s -X POST https://api.iterationlayer.com/document-extraction/v1/extract \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "files": [
      {
        "type": "url",
        "name": "resume-elena-vasquez.pdf",
        "url": "https://example.com/resumes/elena-vasquez-2026.pdf"
      }
    ],
    "schema": {
      "fields": [
        {
          "name": "full_name",
          "type": "TEXT",
          "description": "Candidate full name"
        },
        {
          "name": "email",
          "type": "EMAIL",
          "description": "Email address"
        },
        {
          "name": "phone",
          "type": "TEXT",
          "description": "Phone number"
        },
        {
          "name": "address",
          "type": "ADDRESS",
          "description": "Home address"
        },
        {
          "name": "job_title",
          "type": "TEXT",
          "description": "Most recent job title"
        },
        {
          "name": "employer",
          "type": "TEXT",
          "description": "Most recent employer"
        },
        {
          "name": "years_of_experience",
          "type": "INTEGER",
          "description": "Total years of professional experience"
        },
        {
          "name": "education",
          "type": "TEXT",
          "description": "Highest degree and institution"
        },
        {
          "name": "skills",
          "type": "TEXTAREA",
          "description": "Key skills listed on the resume"
        }
      ]
    }
  }')

# Step 2: Generate an employee profile document
curl -X POST https://api.iterationlayer.com/document-generation/v1/generate \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "format": "pdf",
    "document": {
      "metadata": {
        "title": "Employee Profile — Elena Vasquez",
        "author": "Apex Staffing Solutions"
      },
      "page": {
        "size": {
          "preset": "A4"
        },
        "margins": {
          "top_in_pt": 54,
          "right_in_pt": 54,
          "bottom_in_pt": 54,
          "left_in_pt": 54
        }
      },
      "content": [
        {
          "type": "headline",
          "level": "h1",
          "text": "Employee Profile"
        },
        {
          "type": "headline",
          "level": "h2",
          "text": "Elena Vasquez"
        },
        {
          "type": "separator"
        },
        {
          "type": "table",
          "header": {
            "cells": [
              {
                "text": "Field"
              },
              {
                "text": "Details"
              }
            ]
          },
          "rows": [
            {
              "cells": [
                {
                  "text": "Email"
                },
                {
                  "text": "[email protected]"
                }
              ]
            },
            {
              "cells": [
                {
                  "text": "Phone"
                },
                {
                  "text": "+1 (512) 555-0198"
                }
              ]
            },
            {
              "cells": [
                {
                  "text": "Address"
                },
                {
                  "text": "814 Congress Ave, Austin, TX 78701"
                }
              ]
            },
            {
              "cells": [
                {
                  "text": "Current Title"
                },
                {
                  "text": "Senior Product Manager"
                }
              ]
            },
            {
              "cells": [
                {
                  "text": "Current Employer"
                },
                {
                  "text": "NovaTech Solutions"
                }
              ]
            },
            {
              "cells": [
                {
                  "text": "Experience"
                },
                {
                  "text": "8 years"
                }
              ]
            },
            {
              "cells": [
                {
                  "text": "Education"
                },
                {
                  "text": "MBA, University of Texas at Austin"
                }
              ]
            }
          ]
        },
        {
          "type": "separator"
        },
        {
          "type": "headline",
          "level": "h3",
          "text": "Key Skills"
        },
        {
          "type": "paragraph",
          "runs": [
            {
              "text": "Product roadmap planning, Agile/Scrum methodology, cross-functional team leadership, data-driven decision making, user research, A/B testing, SQL, stakeholder management"
            }
          ]
        },
        {
          "type": "separator"
        },
        {
          "type": "paragraph",
          "runs": [
            {
              "text": "Prepared by Apex Staffing Solutions — Confidential"
            }
          ]
        }
      ]
    }
  }'

Read the full file on GitHub · 631 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 631 lines · 27 tokens per session scan A dbf70c071a33

Subscribe to this mod's changes

extract-resume-and-generate-profile is a skill published in the GitHub repository iterationlayer/skills (3 stars, last pushed 3mo ago), licensed MIT. It adds 27 tokens to every session and 5,232 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 88% identical to extract-product-data-and-generate-listing-image, differing in 712 lines, and is treated as a copy.

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