Individual skill

ma-deal-workbench-review

Analyze M&A deal-workbench records and produce strict JSON issue registers, deviation matrices, closing packages, committee escalations, or transition reviews for APA, SPA, merger, and carveout deal tasks. Use when a prompt asks Codex to compare draft transaction terms against buyer/seller playbooks or committee policies, quantify purchase-price-based positions, classify consents/regulatory/employee/material-contract blockers, allocate consideration, or summarize deal risk using a provided answer template.

experiments/codex_gpt5_5_xhigh/reports/skills/task_group_020/reflect-3/reflect-3_attempt_02/SKILL.md

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Oct 29, 2026
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Apache-2.0

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# M&A Deal Workbench Review

## Core Workflow

1. Read the user prompt and answer template before querying data. Treat the template as the controlling schema for keys, enums, units, ordering, stable issue IDs, and whether to include metadata fields.
2. Gather every deal record relevant to the prompt: deal summary, draft terms, playbook rules or policy thresholds, risk estimates, employees, consents, material contracts, regulatory facts, diligence findings, cap table, benchmarks, documents, and notes.
3. Use stable IDs exactly as supplied by records or the template. Use empty arrays for missing draft terms when the template asks for source term IDs.
4. Compare only current draft terms unless the task explicitly asks for stale or historical terms. Exclude stale, in-policy, non-committee, or non-task distractors.
5. Treat a missing draft term as an issue when the playbook, policy, prompt, or surrounding deal facts require an affirmative provision.
6. Return only valid JSON matching the answer template. Do not include narrative outside the JSON.

## Comparisons

- For buyer-side positions, classify seller drafts below buyer fallback as `draft_below_playbook`; classify absent required protections as `missing_required_term`; classify accepted fallback terms as `in_policy`.