Individual skill
deal-workbench-ma-json
Solve M&A deal workbench tasks that require a strict JSON answer from a live task environment. Use when the prompt asks counsel to review a deal, APA/SPA terms, closing readiness, committee escalations, transition issues, consents, regulatory status, employee matters, or playbook/policy deviations using TASK_ENV_BASE_URL and an answer_template.json.
experiments/codex_skill_creator_comparison_gpt5_5_xhigh/reports/skills/task_group_020/fewshot/opencode/fewshot_attempt_01/SKILL.md
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- Oct 29, 2026
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- Apache-2.0
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- agent Repository topic
- ai Repository topic
- benchmark Repository topic
- llm Repository topic
- self-evolving Repository topic
- self-learning Repository topic
- skills Repository topic
- legal Derived category
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SKILL.mdcore · 7,868 bytesSKILL.mdcore · 7,868 bytesSKILL.mdcore · 7,868 bytesSKILL.mdcore · 7,868 bytesscripts/check_answer.pyruns · 2,101 bytesscripts/fetch_workbench.pyruns · 3,771 bytes
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# Deal Workbench M&A JSON Solver
Use this skill to produce strict JSON answers for legal deal-workbench tasks. The task normally provides a prompt, an `input/payloads/answer_template.json`, and a `<TASK_ENV_BASE_URL>` placeholder for a running M&A workbench.
## Core Workflow
1. Read the user prompt and the answer template before calling the workbench.
2. Identify the deal ID, client side, transaction type, required playbook or policy, requested scope, units, rounding rules, ordering rules, and enum values.
3. Replace `<TASK_ENV_BASE_URL>` with the environment base URL from the task. If the prompt does not give it directly, use the staged environment access file for the base URL.
4. Fetch the complete deal record and all relevant endpoint families. Use `scripts/fetch_workbench.py` when useful.
5. Build a source map keyed by stable IDs: terms, playbook rules, policy thresholds, risk estimates, consents, employees, material contracts, regulatory records, diligence findings, benchmarks, documents, notes, and cap table entries.
6. Compare current draft terms against the applicable buyer, seller, or committee position. Treat missing affirmative protections as issues when the playbook, policy, or surrounding deal facts show they are needed.
7. Populate the answer template exactly. Preserve top-level keys, nested structures, enum spelling, stable IDs, ordering requirements, numeric units, and `null` where a field is not applicable or not supported.
8. Validate that the final response is valid JSON only. Use `scripts/check_answer.py` for a quick structural check against the template.