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    Legacy Banking Infrastructure Support Skill

    Legacy Banking Infrastructure Support Skill

    Creates structured troubleshooting runbooks for legacy banking systems with incident classification, dependency mapping, log review checklists, escalation paths, rollback guidance, and post-incident summaries.

    Updated May 2026
    Security scanned
    One-time purchase
    Compatible with ChatGPT Custom GPTs

    $50

    · or 250 credits

    One-time purchase

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Convert legacy engineer notes into structured support runbooks
    • Map complex dependencies between payment gateways and settlement engines
    • file_write, file_read automation included
    • Ready for Compatible with ChatGPT Custom GPTs
    • Instant install

    Sample Output

    A real example of what this skill produces.

    === LEGACY BANKING INCIDENT RUNBOOK === Runbook title: Overnight Core Banking Batch Job Failure Runbook System/capability: Core banking batch processing Purpose: Provide structured triage for recurring overnight batch failures that may affect account updates, downstream reconciliation, reporting, and start-of-day operations. Scope: Included: - batch failure classification - predecessor and successor job review - input/output file checks - log review checklist - escalation path - rerun decision support - downstream impact checks - post-incident summary Out of scope: - unauthorized reruns - direct database edits - ledger corrections - production changes without approval - final decision to rerun or rollback Severity model: SEV-1: Batch failure affects core ledger, account balances, settlement, or regulatory deadline. SEV-2: Batch failure threatens start-of-day operations or downstream reconciliation deadline. SEV-3: Batch failure is isolated and can be corrected within SLA. Incident triggers: - job fails with non-zero return code - job exceeds runtime threshold - predecessor job missing - input file missing - output control totals mismatch - downstream reconciliation job blocked - repeated failure across multiple nights Initial triage: 1. Confirm job name, job ID, and environment. 2. Confirm first failure timestamp. 3. Check predecessor jobs. 4. Check input file arrival. 5. Check control totals if applicable. 6. Check whether downstream settlement/reconciliation/reporting deadlines are at risk. 7. Check recent changes to batch schedule, job parameters, database, files, or vendor feed. 8. Preserve logs before retry or rerun. Dependency map: Primary job: [Batch job name] Upstream dependencies: - source transaction files - prior posting jobs - vendor file transfer - scheduler calendar Downstream dependencies: - reconciliation job - general ledger interface - regulatory reporting feed - customer statement generation - start-of-day availability Evidence to collect: - job ID - job start/end time - return code - scheduler log - application log - file arrival timestamp - input file size/control total - rejected records summary with sensitive data masked - downstream blocked jobs - recent change record - prior incident reference Log review checklist: Application/batch logs: - first error - repeated error pattern - rejected record count - file format errors - timeout errors - dependency unavailable Scheduler logs: - predecessor completion - job calendar - retry attempts - resource constraints Database metrics: - locks - connection pool - storage - deadlocks - long-running queries Decision tree: IF input file is missing: Check file transfer status. Check vendor delivery confirmation. Escalate to file transfer/vendor owner if not delivered. IF input file arrived but job rejected records: Review rejection summary. Mask sensitive data. Identify common rejection pattern. Escalate to application owner or source-system owner. IF predecessor job failed: Follow predecessor job runbook. Do not rerun current job until dependency is resolved. IF downstream deadline is at risk: Escalate to major incident process and business owner. IF rerun is considered: Confirm approval, data integrity impact, duplicate-processing risk, and downstream communication. Escalation path: Incident commander: [Major incident lead if SEV-1/SEV-2] Batch operations: [Team/contact] Application owner: [Team/contact] Database owner: [Team/contact] File transfer/vendor owner: [Team/contact] Business owner: [Operations/reconciliation owner] Compliance/regulatory contact: [If deadline or reporting risk exists] Rollback/rerun decision guidance: Rollback or rerun must be approved by authorized operations and application owners. Before rerun, confirm duplicate-processing risk, input file integrity, downstream status, and reconciliation impact. Workaround assessment: Manual processing may require dual control, audit record, business approval, and reconciliation plan. Data integrity checks: - duplicate transactions? - missing transactions? - partial processing? - control totals match? - ledger affected? - downstream reconciliation affected? Communication templates: Technical update: Batch job [name] failed at [time] with [return code]. Initial impact assessment: [impact]. Evidence collected: [evidence]. Current owner: [owner]. Next update: [time]. Business update: Overnight batch processing for [capability] is delayed. Current known impact: [impact]. Reconciliation/settlement deadline risk: [risk]. Next update: [time]. Post-resolution checks: - job completed successfully - downstream jobs resumed - control totals verified - reconciliation checks passed - business owner notified - incident record updated Post-incident summary template: Incident ID: Job: Timeline: Root cause: Impact: Resolution: Approvals: Data integrity checks: Action items: Runbook updates: Owner and review cadence: Batch operations owner. Review quarterly or after any SEV-1/SEV-2 batch incident.

    About This Skill

    Legacy Banking Infrastructure Support Skill helps banks, fintech vendors, enterprise IT support teams, SRE teams, operations managers, and legacy-system consultants turn scattered operational knowledge into structured support runbooks. It creates incident classification workflows, dependency maps, log review checklists, escalation paths, rollback and rerun decision guidance, workaround assessments, data integrity checks, post-incident review templates, support readiness audits, knowledge-base articles, and recurring ticket pattern analyses for core banking, payments, cards, ATM, settlement, reconciliation, online banking, batch processing, middleware, file transfer, database, vendor, and regulatory reporting environments. The skill is designed to preserve institutional knowledge, reduce support workload, improve incident response consistency, and produce audit-ready support documentation without executing production actions.

    Use Cases

    • Convert legacy engineer notes into structured support runbooks
    • Map complex dependencies between payment gateways and settlement engines
    • Generate audit-ready post-incident summaries for banking regulators
    • Standardize shift handoffs for core-banking infrastructure teams

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    Security Scanned

    Passed automated security review

    Permissions

    Write Files
    Read Files

    File Scopes

    *.md
    *.txt
    *.docx
    *.pdf
    *.rtf
    *.csv
    *.xlsx
    *.json
    *.yaml
    *.yml
    *.log
    README.md
    runbooks/**
    incidents/**
    tickets/**
    logs/**
    architecture/**
    dependencies/**
    batch/**
    payments/**
    cards/**
    atm/**
    settlement/**
    reconciliation/**
    core-banking/**
    online-banking/**
    vendors/**
    escalations/**
    changes/**
    post-incident/**
    knowledge-base/**
    docs/**

    This skill uses file access to read user-provided runbooks, support tickets, sanitized logs, architecture diagrams, dependency notes, batch schedules, escalation matrices, vendor notes, incident summaries, monitoring summaries, change records, post-incident reviews, and internal documentation. It uses write access to create structured Markdown/text outputs such as legacy banking incident runbooks, triage reports, dependency maps, log review checklists, escalation paths, rollback and rerun decision checklists, workaround assessments, post-incident review summaries, knowledge-base articles, support readiness audits, recurring ticket analyses, and SKILL.md files. Browser access is optional and should only be used for public documentation research when explicitly requested. The default safe setup does not require network access, shell access, environment variable access, direct production access, database access, payment-system access, or secret access.

    Compatible with ChatGPT Custom GPTs, ChatGPT Agents, Claude-style workflows, Cursor, Claude Code, Codex CLI, OpenCode, Replit, enterprise IT support workflows, banking operations documentation, incident management systems, knowledge-base workflows, and other AI agent systems that support structured Markdown instruction files such as SKILL.md. It can also be used manually in any AI chat by pasting the instructions. For real banking operations, use only authorized internal documentation, sanitized logs, approved support procedures, and human approval for production actions.

    Frequently Asked Questions

    $50