Getyak
Official@getyak
Independent AI products for personal context, human relationships, and real-world decisions.
Agent Skills by Getyak
Showing 22 vetted skills indexed across 1 GitHub repositories.
getyakanalyze-candidate-signal
Analyze recruiter conversation transcripts into proposal-only candidate-momentum packets with exact evidence quotes.
getyakcustomer-discovery-advance
Review sales conversations against SPIN Selling evidence to classify customer needs and meeting outcomes.
getyakcustomer-progress-evidence
Analyze customer conversations and CRM records using Jobs to Be Done switching forces.
getyakcustomer-trust-continuity
Review customer relationship behavior against trust principles and produce structured verdicts.
getyakevidence-safety-reviewer
Audit candidate evidence provenance, privacy, consent, and external action safety in recruiting workflows.
getyakcandidate-experience-guardrail
Audit recruiting product experiences for candidate trust, agency, and humane communication.
getyakbuying-group-consensus
Review stakeholder evidence, disagreement, and consensus gaps in B2B buying groups.
getyakproduct-adjudicator
Adjudicate multi-reviewer product evaluations into one prioritized, evidence-based release verdict.
getyakdesign-talent-signal
Designs and reviews evidence-first recruiter product surfaces with provenance-preserving UI rules.
getyakrecurring-customer-impact
Review customer impact evidence across the revenue lifecycle using SPICED principles.
getyakselection-science-auditor
Audit hiring assessments and evaluation designs for validity, reliability, and fairness.
getyaktalent-signal-conventions
Applies TypeScript coding conventions, testing patterns, and commit guidelines for the talent-signal repository.
getyakinclusive-sourcing-recall
Audit sourcing strategies and search queries for hidden talent and exclusion gaps.
getyakproject-knowledge-steward
Route durable project knowledge to canonical docs, ADRs, Skills, and plans while removing duplication.
getyakengineering-decision-brief
Compile repository and incident evidence into layered decision briefs with source links.
getyakcandidate-signal-analysis
Extract evidence-backed candidate facts and action cards from recruiter conversation screenshots and transcripts.
getyakexecutive-potential-evidence
Review executive potential claims against longitudinal evidence using a five-trait assessment rubric.
getyakmobile-ux-reviewer
Review and score iOS and responsive mobile UI against accessibility, hierarchy, and recovery criteria.
getyakrecruiting-trend-radar
Investigate and classify recruiting industry signals into product actions using curated source research.
getyakperformance-outcome-fit
Review hiring decisions and candidate recommendations against outcome-based evidence criteria.
getyakrecruiter-workflow-reviewer
Review recruiter product workflows for operational fit, evidence integrity, and write safety.
getyakcandidate-decision-motivation
Review candidate decision drivers and offer-stage actions using scorecard and Five Fs evidence principles.
Frequently Asked Questions About Getyak
FAQPage SchemaWhat tasks can I accomplish with Getyak's Talent Signal skills?▼
You can analyze recruiter conversations into candidate-momentum packets, audit sales calls against SPIN and SPICED frameworks, review hiring assessments for validity and fairness, inspect iOS recruiting UI, curate recruiting trend intelligence, and compile engineering decision briefs with source-linked evidence.
Who are Getyak's skills designed for?▼
The skills target time-constrained independent recruiters, boutique search operators, and the engineers building the Talent Signal product. Reviewer personas cover recruiter workflow fit, candidate experience, selection science, sourcing inclusivity, executive potential evidence, and mobile UX quality.
How do the candidate analysis skills handle privacy and consent?▼
Skills like evidence-safety-reviewer audit extraction pipelines, OCR screenshots, identity handling, retention, and external writes. Analysis is proposal-only: skills produce reviewable action cards and require recruiter confirmation, never executing confirmed-state changes or external actions autonomously.
What frameworks do the sales and customer skills apply?▼
They apply publicly documented methodologies: Neil Rackham's SPIN Selling, Bob Moesta's Jobs to Be Done, Charles Green's trust equation, Challenger buying-group consensus, Winning by Design's SPICED, Lou Adler's performance-based hiring, and ghSMART's candidate-motivation scorecards.
What are the technical prerequisites for using these skills?▼
Skills operate on user-authorized inputs: transcripts, screenshots, CRM proposals, call notes, or repository artifacts. The Talent Signal codebase is TypeScript with freeform commits; product evaluation skills coordinate multiple specialist reviewers scoring the same frozen artifact independently.