Automate legal document intake with OCR, renaming, and index updates.
npx skills add https://github.com/strigov/vassal-litigator --skill intake-strigov
Please help me install this Agent Skill. Skill: intake Source: https://github.com/strigov/vassal-litigator/tree/main/skills/intake Command: npx skills add https://github.com/strigov/vassal-litigator --skill intake-strigov
This Skill automates the intake and organization of client materials for a legal case, reducing manual sorting, labeling, and indexing work, and ensuring smooth integration with the case workflow.
Provide a batch of incoming documents and instruct the AI to classify, rename, and index them into the case timeline.
High-intent search queries and answers about installing and using this skill.
Automating OCR and renaming for legal case documents is handled by ingesting incoming materials, applying OCR processing, and automatically renaming files to organize them into a chronological case structure.
Organizing client materials intake is best handled by automating document classification, creating document mirrors, updating the case index, and maintaining case history to ensure full traceability.
Subagent dispatch for legal document classification works by handing off intake tasks to Haiku-subagents, enabling deterministic planning and idempotent processing with history tracking for client materials.
Processing document intake idempotently with history tracking is fully supported, ensuring repeated operations do not duplicate work and maintaining a traceable record of all case materials.
Preparing client documents for a hearing timeline involves organizing incoming materials into a chronological structure, creating document mirrors, and updating the case index to support the hearing workflow.
No external dependencies are required to run automated legal document intake, as the Skill operates independently to handle OCR, classification, and case index updates for client materials.
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