HR Candidate Screening
Collects resume, job description, and hiring policy evidence so specialists can compare requirements, check policy, audit bias risk, plan interviews, and summarize advisory findings.
Help manual
A practical operating guide for creating workflows, preparing evidence, using the Band agent room, and understanding current MVP limits.
Band agents are infrastructure. Users should not create remote agents or handle API keys per workflow. They create workflows, upload evidence, and use the configured room.
Collects resume, job description, and hiring policy evidence so specialists can compare requirements, check policy, audit bias risk, plan interviews, and summarize advisory findings.
Uses supplied ICP, CRM notes, and sales context to reason about lead fit and next-step recommendations without inventing prospect facts.
Uses supplied design notes, code changes, and test evidence to review implementation risk, missing tests, and integration concerns.
Admins create the Band remote agents once and store credentials in environment variables. End users only create workflow drafts, upload artifacts, and mention agents in the configured room.
@hilaytrivedi1224/atower-coordinatorPrimary room coordinator. Routes work, explains required evidence, and keeps the room honest about current product limits.
@hilaytrivedi1224/atower-rag-retrieverChecks evidence availability and retrieval status. It must not invent evidence IDs or citations.
@hilaytrivedi1224/atower-policy-guardianReviews supplied policy and compliance evidence, then flags conflicts, missing approvals, and escalation needs.
@hilaytrivedi1224/atower-final-decisionSynthesizes advisory findings for human review. It does not make autonomous high-impact decisions.
@hilaytrivedi1224/atower-resume-jd-matcherCompares resume evidence against job-description requirements and reports matches, gaps, and uncertainty.
@hilaytrivedi1224/atower-bias-reviewerAudits screening reasoning for unfair assumptions, proxy risks, unsupported inferences, and biased language.
@hilaytrivedi1224/atower-interview-plannerCreates fair, job-related interview follow-up questions from evidence gaps.
@hilaytrivedi1224/atower-lead-qualifierReviews supplied ICP, CRM, and sales-note evidence for lead-fit findings and follow-up recommendations.
@hilaytrivedi1224/atower-engineering-reviewerReviews supplied engineering changes, design notes, and tests for implementation risk and missing coverage.
@hilaytrivedi1224/atower-coordinator confirm you are connected, summarize the available specialist roster, and state what evidence is required before running HR candidate screening.
@hilaytrivedi1224/atower-coordinator We are preparing an HR Candidate Screening workflow in ATower. The required artifacts are resume, job description, and hiring policy. Please coordinate the available specialists and explain what each agent should review before a human makes any screening decision.
@hilaytrivedi1224/atower-resume-jd-matcher confirm you are connected and explain what evidence you need before matching a resume to a job description.
Confirm the agent is a room participant, was mentioned with its full handle, and the band-agent service is running.
Check LLM_PROVIDER, provider API keys, and that the selected model supports OpenAI tool calling.
Set NEXT_PUBLIC_DEFAULT_ORG_ID and confirm the API is reachable at NEXT_PUBLIC_API_BASE_URL.