How do I install the Freehire Market Fit skill?

Run npx skillmds@latest add strelov1/freehire-market-fit in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Freehire Market Fit safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Freehire Market Fit?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Freehire Market Fit free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Freehire Market Fit?

strelov1 (@strelov1) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Freehire Market Fit by strelov1 — Agent Skill

Name: Freehire Market Fit
Author: strelov1

Freehire Market Fit

Use when measuring a set of skills — a CV's stack, or one skill on its own — against live open-vacancy demand on freehire; when telling a candidate which in-demand skills they are missing and what learning each would unlock; or when gauging how much of a filtered market (a role, a region, a seniority) their current stack already covers.

strelov1 Updated Sep 17, 2026

File contents

Scoring a stack against the live market

Needs a key: freehire auth login --token fhk_… (or FREEHIRE_TOKEN).

market-fit scores a skill list against the live open-vacancy market for a filtered role: the headline coverage (N% of vacancies list ≥1 of the skills), the must-have skills held, and the missing skills that unlock the most new vacancies.

freehire market-fit --skills go,docker,react --category backend   # score a whole stack
freehire market-fit --skills go --country BR                      # one skill = its demand under the filter
freehire --json market-fit --skills go,react --seniority senior | jq '{coverage_percent, gaps}'

Here --skills is the measured set (comma-separated or repeated), not a filter. It takes the same facet flags as search to define the role: --remote --region --country --city --company --category --role --seniority --employment-type --english-level --salary-min --visa.

Ground the skill slugs first. Skills are canonical lowercase slugs (go, react, kubernetes), and a slug the market does not use scores nothing rather than erroring:

freehire --json facets --category backend | jq '.facets.skills'

Where the stack comes from, if the person has not typed it out: freehire --json profile | jq '.skills' returns what they already saved.

Reading the result honestly

Coverage is a statement about vacancy listings, not about employability. A 70% coverage means 70% of the filtered vacancies name at least one skill in the set — it does not mean they would pass 70% of the screens. Say what was measured, under which filter, and how many vacancies were in scope.

A gap is worth naming only with the number attached: "adding Kubernetes reaches another 1,240 vacancies in this filter" is usable advice, "you should learn Kubernetes" is not.

To act on a specific vacancy rather than the market as a whole, use the freehire-tailor-cv skill.

---name: freehire-market-fitdescription: Use when measuring a set of skills — a CV's stack, or one skill on its own — against live open-vacancy demand on freehire; when telling a candidate which in-demand skills they are missing and what learning each would unlock; or when gauging how much of a filtered market (a role, a region, a seniority) their current stack already covers.---# Scoring a stack against the live marketNeeds a key: `freehire auth login --token fhk_…` (or `FREEHIRE_TOKEN`).`market-fit` scores a skill list against the live open-vacancy market for afiltered role: the headline coverage (`N%` of vacancies list ≥1 of the skills), themust-have skills held, and the missing skills that unlock the most new vacancies.```bashfreehire market-fit --skills go,docker,react --category backend # score a whole stackfreehire market-fit --skills go --country BR # one skill = its demand under the filterfreehire --json market-fit --skills go,react --seniority senior | jq '{coverage_percent, gaps}'```Here `--skills` is the **measured set** (comma-separated or repeated), *not* afilter. It takes the same facet flags as `search` to define the role: `--remote--region --country --city --company --category --role --seniority--employment-type --english-level --salary-min --visa`.**Ground the skill slugs first.** Skills are canonical lowercase slugs (`go`,`react`, `kubernetes`), and a slug the market does not use scores nothing ratherthan erroring:```bashfreehire --json facets --category backend | jq '.facets.skills'```Where the stack comes from, if the person has not typed it out: `freehire --jsonprofile | jq '.skills'` returns what they already saved.## Reading the result honestlyCoverage is a statement about *vacancy listings*, not about employability. A 70%coverage means 70% of the filtered vacancies name at least one skill in the set —it does not mean they would pass 70% of the screens. Say what was measured, underwhich filter, and how many vacancies were in scope.A gap is worth naming only with the number attached: "adding Kubernetes reachesanother 1,240 vacancies in this filter" is usable advice, "you should learnKubernetes" is not.To act on a specific vacancy rather than the market as a whole, use the**freehire-tailor-cv** skill.

Frequently asked questions