Individual skill

jobhuntbot

A reusable job application workflow for Codex and other AI agents. Use when a user wants to set up or run an AI-assisted job search system: collecting a candidate profile, creating an application dashboard, defining screening and resume-routing rules, finding and ranking job leads, applying to jobs within explicit safety boundaries, recording outcomes, triaging blockers, or iterating a job application workflow.

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Last checked: Nov 10, 2026

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Repository stars (not skill ratings): 885
Repository last updated: Oct 12, 2026
License: MIT

Observed agent integration: codex

operations Derived category

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.github/workflows/validate.ymlasset · 766 bytes
.gitignoreasset · 340 bytes
AGENTS.mddoc · 1,535 bytes
LICENSEasset · 1,143 bytes
README.mddoc · 22,140 bytes
SKILL.mdcore · 15,206 bytes
SKILL.mdcore · 15,206 bytes
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dashboard/application_log.csvasset · 157 bytes
dashboard/automation_rules.csvasset · 63 bytes
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dashboard/company_categories.jsonasset · 38 bytes
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dashboard/daily_dashboard.csvasset · 132 bytes
dashboard/dashboard-model.jsruns · 5,353 bytes
dashboard/dashboard.htmlasset · 54,271 bytes
dashboard/follow_up.csvasset · 89 bytes
dashboard/job_pool.csvasset · 212 bytes
dashboard/resume_rules.csvasset · 84 bytes
dashboard/scripts/audit-data.jsruns · 7,281 bytes
dashboard/scripts/company-categories.jsruns · 3,672 bytes
dashboard/server.jsruns · 12,128 bytes
dashboard/start-dashboard.batruns · 109 bytes
dashboard/start-dashboard.shruns · 233 bytes
dashboard/tests/audit-data.test.jsruns · 3,311 bytes
dashboard/tests/csv-row-index.test.jsruns · 1,909 bytes
dashboard/tests/csv-store.test.jsruns · 3,175 bytes
dashboard/tests/dashboard-browser.test.jsruns · 10,532 bytes
dashboard/tests/dashboard-csv-validation.test.jsruns · 1,182 bytes
dashboard/tests/dashboard-model.test.jsruns · 10,548 bytes
dashboard/tests/server.test.jsruns · 9,515 bytes
dashboard/tests/test-helpers.jsruns · 2,642 bytes
references/application-playbook.mddoc · 17,938 bytes
references/lead-discovery.mddoc · 7,939 bytes
references/safety-and-boundaries.mddoc · 3,984 bytes
references/setup-workflow.mddoc · 16,099 bytes
scripts/check-public-package.jsruns · 7,511 bytes
scripts/check-public-package.test.jsruns · 4,315 bytes
templates/answer_bank.template.mddoc · 2,824 bytes
templates/application-progress.template.jsonasset · 2,274 bytes
templates/application_rules.template.mddoc · 5,760 bytes
templates/candidate_profile.template.jsonasset · 1,938 bytes
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templates/dashboard-template/automation_rules.csvasset · 63 bytes
templates/dashboard-template/blocker_queue.csvasset · 130 bytes
templates/dashboard-template/daily_dashboard.csvasset · 132 bytes
templates/dashboard-template/follow_up.csvasset · 89 bytes
templates/dashboard-template/job_pool.csvasset · 212 bytes
templates/dashboard-template/resume_rules.csvasset · 84 bytes
templates/experience_bank.template.mddoc · 4,768 bytes
templates/resume_routing.template.mddoc · 4,546 bytes

Read excerpt


# JobHuntBot

JobHuntBot is a job application operating workflow for AI agents. It helps users turn job searching into a repeatable system: profile, dashboard, screening rules, resume strategy, application execution, blocker triage, and follow-up.

## Core Contract 

Optimize for truthful, traceable, interview-generating applications, not blind volume.

Treat setup as an agent-led onboarding flow, not a user homework packet. Ask only for the minimum information needed to start safely, create drafts/templates for the user, then iterate after the first trial run.

Before searching or applying, make sure the user has:

1. A candidate profile.
2. A dashboard or workbook for tracking outcomes.