MCPInstall

hiring-talent

Designs rigorous hiring processes using structured behavioral interviews and work sample tests, replacing gut feel with data-driven evaluation of energy, obsession, and persistence. Use when building interview loops, evaluating candidates, writing job descriptions, or designing talent strategy.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/joellewis/skill-library --skill hiring-talent
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads hiring-talent automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Overview

Hiring talent is the foundational discipline of organizational growth. This skill replaces "gut feel" and Demographic-based hiring with a rigorous, data-driven process focused on identifying undervalued traits (energy, obsession, persistence) through structured behavioral interviews and work sample tests.

Guiding Principles

Principle 1: Hire for Energy and Obsession (Source: Cowen, Talent)

High intelligence is common; high intelligence plus high energy and "stamina" is rare. Prioritize candidates who demonstrate an "obsessive" interest in their field—those who tinker, read, and build in their free time.

Principle 2: Structured Interviewing (Source: Bock, Work Rules!)

Unstructured "conversational" interviews are useless at predicting performance. Use a consistent set of questions for every candidate, and score their answers against a pre-defined rubric to remove unconscious bias.

Principle 3: The Rule of Four (Source: Bock, Work Rules!)

Four interviews are sufficient to predict performance with 86% confidence. Diminishing returns set in after four. Optimize for speed and candidate experience by capping the interview loop.

Principle 4: Work Samples are the Best Predictors (Source: Bock, Work Rules!)

The most accurate way to predict how someone will do the job is to give them a task that is the job. Use work sample tests (e.g., coding challenges, writing assignments, case studies) as the primary evaluation filter.

Principle 5: The Scorecard First (Source: Johnson, Scaling People)

Before you post a job, define the "Scorecard"—the 3-5 specific outcomes the person must achieve in their first year. Interview for the results needed, not just the skills listed.

When to Use This Skill

  • When designing a hiring process for a new role or department.
  • When evaluating a high-stakes candidate for a leadership position.
  • When the current hiring "bar" is slipping and turnover is increasing.
  • When building a talent strategy to identify "undervalued" individuals in a competitive market.

When NOT to Use This Skill

  • For simple task-based contract work where a "trial period" is more efficient than a full interview loop.
  • For internal rotations where the candidate's performance data is already known and validated.

Core Process

Step 1: Define the Scorecard and "The Bar"

  1. Outcomes: List 3-5 specific, measurable results the person must deliver. (Source: Johnson, Ch. 4)
  2. The Bar: Define what "better than average" looks like for the current team. (Source: Bock, Ch. 3)

Step 2: Design the Structured Loop

  1. Select Questions: Choose 4-5 behavioral questions that map directly to the Scorecard (e.g., "Tell me about a time you solved X...").
  2. Create the Rubric: Define what a "1" (Poor), "3" (Average), and "5" (Excellent) answer looks like for each question. (Source: Google re:Work)

Step 3: Implement the Work Sample Test

  1. The Task: Design a 1-2 hour task that mimics the day-to-day work of the role.
  2. Evaluation: Use the same rubric to score the output. Ensure the task is evaluated blindly (if possible) to remove persona bias. (Source: Bock, Ch. 5)

Step 4: Conduct the Interview (Searching for Alpha)

  1. The "Morning" Question: Ask "What did you do this morning?" to reveal natural curiosity and energy. (Source: Cowen, Ch. 3)
  2. The Obsession Probe: Ask about the candidate's personal projects or "rabbitholes" they've gone down lately. (Source: Cowen, Ch. 1)

Step 5: The Hiring Committee and Reference Check

  1. Committee Review: Use a small group (including people outside the direct team) to review the scores and work samples. This prevents "desperation hiring." (Source: Johnson, Ch. 4)
  2. Reference Discovery: Ask references: "How can I support this person to be successful in their first 90 days?" (Source: Johnson, Ch. 4)

Frameworks & Models

The Talent/Persistence Matrix (Source: FS Blog)

  • High Talent / Low Persistence: Fragile; likely to quit when things get hard.
  • Low Talent / High Persistence: The "Tinkerer"; likely to eventually succeed through iteration.
  • High Talent / High Persistence: The "Animal Spirit"; the target for every high-growth hire.

The Bar Raiser Mechanism (Source: Bryar, Working Backwards)

A neutral third party (the "Bar Raiser") has veto power over the hire to ensure the long-term quality of the team isn't sacrificed for short-term headcount needs.

Cross-Skill Invocations

  • REQUIRED SUB-SKILL: first-90-days — To ensure the "Scorecard" outcomes are realized.
  • RECOMMENDED SUB-SKILL: feedback-coach — To provide constructive rejection or offer negotiation feedback.
  • RECOMMENDED SUB-SKILL: ownership-coach — To identify candidates who will take "Extreme Ownership."

Common Mistakes

  1. Hiring for "Cultural Fit": This is often a proxy for bias. Hire for "Cultural Contribution"—what can this person add that we don't have? (Source: Bock, Ch. 3)
  2. The Halo Effect: Letting a candidate's prestige (e.g., "Worked at Google") overshadow their actual performance in the work sample. (Source: Cowen, Ch. 5)
  3. Desperation Hiring: Lowering the bar because a role has been open too long. (Source: Johnson, Ch. 4)
  4. Neglecting Persistence: Hiring for "flashy" intelligence but failing to test for the "animal spirits" required to finish hard projects. (Source: Graham, "Hiring")

Diagnostic Checklist

  • Have we defined the 3-5 specific outcomes (The Scorecard) for this role?
  • Are we using a structured interview loop with a pre-defined rubric?
  • Is there a "Work Sample Test" in the process?
  • Are we capping the loop at 4-5 interviews to ensure speed?
  • Have we identified the "undervalued" trait or "obsession" of the candidate?

Sources

  • Cowen & Gross, Talent, Ch. 1, 3, 5 — Intelligence/Energy, Morning Question, Alpha.
  • Bock, Work Rules!, Ch. 3, 5 — Rule of Four, Structured Interviews, Work Samples.
  • Johnson, Scaling People, Ch. 4 — Scorecards, Hiring Committees, References.
  • Paul Graham, "How to Hire" — Hiring for startups and user-focus.
  • Farnam Street, "Talent is Persistence" — Process over outcome.

FAQ

What does the hiring-talent skill do?

Designs rigorous hiring processes using structured behavioral interviews and work sample tests, replacing gut feel with data-driven evaluation of energy, obsession, and persistence. Use when building interview loops, evaluating candidates, writing job descriptions, or designing talent strategy.

How do I install hiring-talent?

Run npx skills add https://github.com/joellewis/skill-library --skill hiring-talent in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/hiring-talent/ (personal) or .claude/skills/hiring-talent/ (project).

Which AI agents can use hiring-talent?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is hiring-talent safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains hiring-talent?

It is published by joellewis in joellewis/skill-library. It has 40 recorded installs.

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