talent-acquisition

talent-acquisition is a skill for Claude Code from alexclowe/awesome-claude-cowork-plugins. It costs 17 tokens per session (508 once invoked), scanned A, original, MIT.

A hiring and onboarding guide covering job descriptions, fair wording, and recruiting processes. DEI means diversity, equity, and inclusion; ATS means software that screens job applications.

In plain words
What is it for?
Use it to draft job descriptions, separate required from preferred skills, review inclusive wording, and plan onboarding materials.
Why use it?
It helps employers write clearer roles, reduce biased language, and make job postings easier for suitable candidates to find.

Skill for Claude Code

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

Part of the hr-manager plugin — 3 skills, 8 commands shipped together

Good fit Use it to draft job descriptions, separate required from preferred skills, review inclusive wording, and plan onboarding materials.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alexclowe/awesome-claude-cowork-plugins/talent-acquisition
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 alexclowe/awesome-claude-cowork-plugins --skill talent-acquisition
Clone the repo
git clone --depth 1 https://github.com/alexclowe/awesome-claude-cowork-plugins

Made for: Claude Code.

Or install hr-manager, the plugin that ships this one along with the rest of its 3 skills, 8 commands.

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 talent-acquisition

README.md
[![agentmods](https://agentmods.dev/badge/skills/alexclowe/awesome-claude-cowork-plugins/talent-acquisition/github.svg)](https://agentmods.dev/skills/alexclowe/awesome-claude-cowork-plugins/talent-acquisition)
Your own site
<a href="https://agentmods.dev/skills/alexclowe/awesome-claude-cowork-plugins/talent-acquisition"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-claude-cowork-plugins/talent-acquisition/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.

agentmods 80×15 button for talent-acquisition

Your own site · 80×15
<a href="https://agentmods.dev/skills/alexclowe/awesome-claude-cowork-plugins/talent-acquisition"><img src="https://agentmods.dev/badge/skills/alexclowe/awesome-claude-cowork-plugins/talent-acquisition.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 508 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found 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 $0.00017 $0.00508
Opus 5.5 $0.00007 $0.00203
Sonnet 5.5 $0.00003 $0.00102
Haiku 4.5 $0.00002 $0.00051

Measured 23d ago against content hash e5cf7624e68c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

talent-acquisition scanned grade A with 0 findings 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 23d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

hr-manager/skills/talent-acquisition/SKILL.md · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Talent Acquisition

Job Description Writing

  • Lead with impact: describe how the role contributes to the organization's mission
  • Use clear, specific language for responsibilities and qualifications
  • Separate "required" from "preferred" qualifications to avoid deterring qualified candidates
  • Include salary range and benefits highlights for transparency
  • Keep descriptions concise (700-1000 words ideal)
  • Structure with consistent formatting: summary, responsibilities, qualifications, benefits, EEO

Bias-Free Language

  • Use gender-neutral pronouns and job titles (e.g., "chairperson" not "chairman")
  • Avoid coded language that signals age, gender, or cultural bias (e.g., "rockstar," "ninja," "young and energetic")
  • Replace aggressive language (e.g., "crushing it," "killer instinct") with collaborative alternatives
  • Focus on skills and competencies rather than cultural fit
  • Use tools and checklists to audit job postings for biased language
  • Avoid unnecessary degree requirements that may exclude diverse candidates

ATS Optimization

  • Include relevant industry keywords naturally throughout the posting
  • Use standard job titles that match common search terms
  • Structure content with clear headers and bullet points
  • Avoid tables, images, or special characters that ATS cannot parse
  • Include location, department, and employment type in structured fields
  • Test postings against common ATS platforms for parseability

Interview Guides

  • Develop structured interview questions tied to job competencies
  • Use behavioral and situational questions consistently across candidates
  • Create scoring rubrics to reduce subjective evaluation bias
  • Train interviewers on legal compliance and unconscious bias
  • Document interview feedback promptly and objectively

Employer Branding

  • Showcase company culture, values, and employee stories
  • Highlight DEI initiatives and employee resource groups
  • Feature career development and growth opportunities
  • Maintain consistent messaging across job boards and social media
  • Respond to employer review sites professionally

Read the full file on GitHub · 54 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. 23d ago First seen · 54 lines · 17 tokens per session scan A e5cf7624e68c

Subscribe to this mod's changes

talent-acquisition is a skill published in the GitHub repository alexclowe/awesome-claude-cowork-plugins (30 stars, last pushed 4d ago), licensed MIT. It adds 17 tokens to every session and 508 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-24.

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