playbook-easy-extract

Extracts negotiated positions from a contract into structured issue, clause_text, source_offsets lists.

116|51|Updated May 8, 2026
One-click install
npx skills add https://github.com/LegalQuants/lq-ai --skill playbook-easy-extract
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: playbook-easy-extract
Source: https://github.com/LegalQuants/lq-ai/tree/main/skills/playbook-easy-extract
Command: npx skills add https://github.com/LegalQuants/lq-ai --skill playbook-easy-extract

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps legal teams automate the extraction of negotiated positions from a single contract, producing a structured feed for downstream playbook generation.

Core Features & Use Cases

  • Per-document extraction: reads the contract text and identifies clauses that take a substantive position on common issues (e.g., confidentiality definitions, liability caps, indemnification, payment terms).
  • Structured output: emits a list of entries with fields like issue, clause_text, and source_offsets for clustering into a draft playbook.
  • Internal workflow integration: designed to feed the Easy Playbook generation pipeline, with final playbooks assembled by in-house attorneys.

Quick Start

Upload a contract document to produce a structured list of negotiated positions for downstream clustering.

Frequently Asked Questions about playbook-easy-extract

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract negotiated positions from a contract for playbook generation?

Yes, contract clause analysis identifies substantive positions such as indemnification and payment terms. It processes a single document at a time, emitting structured fields including the issue, clause text, and exact source offsets for each identified position.

How do I use text-mining to identify substantive contract clauses?

You apply text-mining to a single contract document to automatically identify substantive clauses. It recognizes specific legal issues like liability limits and confidentiality definitions, returning structured data entries rather than assembling a final playbook.

Does this contract extraction tool assemble the final legal playbook?

No, contract extraction does not assemble the final playbook. It strictly extracts negotiated positions into a structured list with source offsets, serving as a feed for downstream clustering where in-house attorneys assemble the draft playbook.

What contract clauses can I extract for a legal playbook?

You can extract clauses taking a substantive position on common legal issues. The Skill targets definitions of confidential information, liability limits, indemnification, and payment terms, outputting the issue and clause text for each identified position.

Can I process multiple contracts at once to build an automated playbook?

No, you cannot process multiple contracts at once. The Skill applies to a single document at a time, extracting negotiated positions into a structured list to feed the Easy Playbook generation pipeline before downstream clustering.