Cognitive Ux Jobs
Design and audit job boards, careers sites, recruiting portals, and application journeys using evidence-informed UX. Use when people must discover roles, evaluate fit, apply, manage candidate status, or review candidates; return search/filter rules, transparent role information, accessible application and status flows, accommodation/consent safeguards, and fairness-aware validation.
Install
$ agentstack add skill-kfeng209-oss-cognitive-ux-cognitive-ux-jobs ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Cognitive UX: Jobs & Recruiting
Scope
Use for candidate-facing hiring and recruiting. Use cognitive-ux-admin for internal privileged HR administration and cognitive-ux-forms for a generic form without recruiting-specific risk.
Intake
- Identify candidate and recruiter tasks, role types, locations, compensation, requirements, and hiring process.
- Identify application data, save/resume, accommodations, consent, screening, status, retention, and privacy rules.
- Identify accessibility, language, device, equity, jurisdiction, and human-support constraints.
State assumptions that could change the design. Define the primary task, consequence of failure, and measurable user outcome before proposing a layout.
Design procedure
- Make role essentials, location/work mode, compensation where applicable, requirements, selection process, timeline, and accommodations contact findable before application.
- Organize search and filters around candidate-relevant criteria; preserve context and expose why a role appears or is unavailable.
- Design applications with estimated effort, save/resume, visible labels, data minimization, review/edit, and unambiguous submitted/status states.
- Make consent, assessment, automated-screening, data retention, and withdrawal paths clear; provide a human accommodation route.
- Validate completion, comprehension, accessibility, and equity outcomes across candidate groups rather than applicant volume alone.
Read [archetype evidence](references/archetype-evidence.md). Label each non-obvious recommendation Standard / requirement, Evidence-informed default, or Hypothesis to test.
Required outputs
- role discovery and comparison model
- role-information and process-disclosure checklist
- application/status/withdrawal flow
- accommodation/consent/fairness review
- candidate completion and equity study
- Evidence-to-decision table: decision → mechanism → source → label → limitation → test metric.
- Accessibility, ethics, and recovery-path checklist.
Guardrails
Do not require unnecessary personal disclosure, hide compensation/process conditions, optimize only for volume, use inaccessible screening, or imply automated assessment is neutral.
Related skills
Use cognitive-ux-forms, cognitive-ux-portal, and cognitive-ux-admin. Select the primary task before combining skills; add a secondary skill only when it changes the user outcome or risk.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: kfeng209-oss
- Source: kfeng209-oss/cognitive-ux
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.