candidate-decision-motivation

Review candidate decision drivers and offer-stage actions using scorecard and Five Fs evidence principles.

1|Updated Aug 3, 2026
One-click install
npx skills add https://github.com/getyak/talent-signal --skill candidate-decision-motivation-getyak
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: candidate-decision-motivation
Source: https://github.com/getyak/talent-signal/tree/main/.agents/skills/candidate-decision-motivation
Command: npx skills add https://github.com/getyak/talent-signal --skill candidate-decision-motivation-getyak

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Recruiters often advance candidates through offer stages based on gut feel, generic pitches, or inferred motivations, losing sight of what the candidate actually values. This Skill audits candidate-momentum recommendations, decision briefs, recruiter messages, and product UX against structured scorecard and behavioral-evidence principles so proposed next actions address real decision conditions. ## Core Features & Use Cases - Role Scorecard Audit: Checks whether a role's what, how, and by_when are defined before any candidate judgment, marking incomplete scorecards rather than inventing them. - Five Fs Evidence Mapping: Organizes explicit candidate statements into fit, family, freedom, fortune, and fun categories while preserving unknowns, contradictions, and changes over time. - Structured Review Packet: Returns verdict, score, confidence, findings, missing evidence, vetoes, and open questions, with hard vetoes on sensitive-family inference and similarity-based culture scoring. - Use Case: Before sending an offer-stage follow-up, run a review to confirm the proposed message resolves the candidate's stated governing tradeoff (e.g., relocation flexibility) with the right owner and timing instead of applying generic closing pressure. ## Quick Start Use the candidate-decision-motivation skill to review this decision brief and tell me whether the proposed next action addresses what the candidate actually values.

Frequently Asked Questions about candidate-decision-motivation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I review whether a recruiter message matches candidate motivations?▼

Provide the message plus the candidate's stated decision evidence, and the review maps statements to the Five Fs categories (fit, family, freedom, fortune, fun). It then checks whether the message resolves a governing condition or merely advances the hiring process.

What is the Five Fs framework for candidate decisions?▼

The Five Fs are fit, family, freedom, fortune, and fun, a public ghSMART checklist for discovering what candidates value. The Skill uses it as a recall checklist only, never forcing every candidate into all five categories and always recording unknowns.

When does the candidate motivation review abstain or veto?▼

It abstains when no candidate-stated decision evidence exists in the source material. It issues a veto for cultural-similarity scoring, invented motivations, or inference of sensitive family information the candidate did not volunteer.

Can this review infer candidate fit from interview tone or response speed?▼

No. The Skill explicitly prohibits inferring acceptance, honesty, or commitment from response speed or tone, and requires observable job-related behavior rather than conversational ease or cultural similarity as evidence of fit.

What output format does the decision motivation review return?▼

It returns a structured review packet with reviewer, lens, verdict, score, confidence, findings, strengths, missing_evidence, vetoes, and open_questions fields, written in a structured executive-adviser style.