Skill Extraction
Pull skills out of a job description or CV and sort them into technical skills, soft skills, tools, certifications and languages.
Pay by wallet (x402)
skill-extract Example
Example answer
{
"tools": [],
"languages": [],
"soft_skills": [],
"certifications": [],
"technical_skills": [],
"seniority_signals": [],
"total_skills_found": 0,
"experience_levels_mentioned": []
} Inputs
| Field | Type | Required | What it is |
|---|---|---|---|
text | string | Yes | Job description or CV text |
Output fields
How reliably each field appears in a successful answer.
| Field | Type | Appears |
|---|---|---|
tools | array | Usually (present for most inputs) |
languages | array | Always (present in every successful answer) |
soft_skills | array | Usually (present for most inputs) |
certifications | array | Usually (present for most inputs) |
technical_skills | array | Always (present in every successful answer) |
seniority_signals | array | Usually (present for most inputs) |
total_skills_found | integer | Always (present in every successful answer) |
experience_levels_mentioned | array | Usually (present for most inputs) |
How to call it
The same tool through each route. MCP clients reach it through Strale’s server at https://api.strale.io/mcp; the call below is what the agent sends.
# Needs an API key. max_price_cents caps what this call may cost.
curl -X POST https://api.strale.io/v1/do \
-H "Authorization: Bearer $STRALE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
"capability_slug": "skill-extract",
"inputs": {
"text": "Senior backend engineer with 6 years building Python and TypeScript services on AWS and Kubernetes. Day-to-day tools are Docker, Git and Terraform. AWS Certified Solutions Architect. Known for clear written communication and mentoring juniors. Fluent in Swedish and English."
},
"max_price_cents": 3
}' {
"tool": "strale_execute",
"arguments": {
"slug": "skill-extract",
"inputs": {
"text": "Senior backend engineer with 6 years building Python and TypeScript services on AWS and Kubernetes. Day-to-day tools are Docker, Git and Terraform. AWS Certified Solutions Architect. Known for clear written communication and mentoring juniors. Fluent in Swedish and English."
},
"max_price_cents": 3
}
} import { Strale } from "straleio";
const strale = new Strale({ apiKey: process.env.STRALE_API_KEY! });
const result = await strale.do({
capability_slug: "skill-extract",
inputs: {
"text": "Senior backend engineer with 6 years building Python and TypeScript services on AWS and Kubernetes. Day-to-day tools are Docker, Git and Terraform. AWS Certified Solutions Architect. Known for clear written communication and mentoring juniors. Fluent in Swedish and English."
},
max_price_cents: 3,
}); import os
from straleio import Strale, DoRequest
strale = Strale(api_key=os.environ["STRALE_API_KEY"])
result = strale.do(DoRequest(
capability_slug="skill-extract",
inputs={
"text": "Senior backend engineer with 6 years building Python and TypeScript services on AWS and Kubernetes. Day-to-day tools are Docker, Git and Terraform. AWS Certified Solutions Architect. Known for clear written communication and mentoring juniors. Fluent in Swedish and English.",
},
max_price_cents=3,
)) # No account. The first request answers 402 with the price in USDC;
# an x402 client pays it from your wallet and repeats the request.
curl -i 'https://api.strale.io/x402/v2/skill-extract?text=Senior+backend+engineer+with+6+years+building+Python+and+TypeScript+services+on+AWS+and+Kubernetes.+Day-to-day+tools+are+Docker%2C+Git+and+Terraform.+AWS+Certified+Solutions+Architect.+Known+for+clear+written+communication+and+mentoring+juniors.+Fluent+in+Swedish+and+English.' Limitations
Skill categories can differ from industry taxonomies
AI-powered skill extraction — may categorise broad competencies differently than specific industry taxonomies (e.g., ESCO, O*NET)
What to do instead: Map extracted skills to your target taxonomy (ESCO, O*NET) as a post-processing step for HR system integration
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