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medbridge-sales-ops

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Use this skill for MedBridge Sales Ops task-environment prompts that require quote/RFQ decision packages, freight comparisons, policy flags, opportunity reconciliation, invoice/payment/revenue checks, event/voucher follow-up, and final JSON matching an answer_template.json. It is especially relevant when the prompt mentions the shared MedBridge API, TASK_ENV_BASE_URL, BASE_URL, quotes, RFQs, customers, products, freight-quotes, policies, opportunities, invoices, payments, revenue-journals, events, or vouchers.

experiments/codex_skill_creator_comparison_gpt5_5_xhigh/reports/skills/task_group_002/fewshot/cc/fewshot_attempt_01/SKILL.md

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Nov 11, 2026

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Repository last updated
Oct 29, 2026
License
Apache-2.0

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# MedBridge Sales Ops

Use this workflow to produce an account-ready JSON answer from the MedBridge Sales Ops API and the provided `input/payloads/answer_template.json`.

## Required Workflow

1. Read the prompt and `input/payloads/answer_template.json` first. Treat the template as the output schema and controlled-value source.
2. Resolve the API base URL from the prompt or environment, usually `TASK_ENV_BASE_URL` or `BASE_URL`. Verify `GET /api` before relying on records.
3. Extract stable identifiers from the prompt: quote IDs, RFQ IDs, opportunity IDs, customer IDs, event IDs, voucher codes, product codes, account names, quantities, and quote/as-of dates.
4. Read [references/medbridge-rules.md](references/medbridge-rules.md) before final assembly. It contains the pricing, freight, policy, and reconciliation rules needed for these tasks.
5. Optionally run the bundled collector from the skill directory to gather linked records and generic derived summaries:

   ```bash
   python scripts/collect_medbridge.py --base-url "$BASE_URL" --prompt-file input/prompt.txt
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