Run automated quality checks and AI editorial review on curated dossiers.
npx skills add https://github.com/tcole333/ithildin --skill review-dossiers
Please help me install this Agent Skill. Skill: review-dossiers Source: https://github.com/tcole333/ithildin/tree/main/.claude/skills/review-dossiers Command: npx skills add https://github.com/tcole333/ithildin --skill review-dossiers
The Skill addresses the problem of manually reviewing curated dossiers for accuracy and compliance with editorial standards, offering automation for quality checks and LLM editorial review.
Run automated checks on the dossier named 'dossier2023' with auto-correction enabled.
High-intent search queries and answers about installing and using this skill.
Automate dossier review by coordinating deterministic script checks with LLM analysis to evaluate data accuracy and editorial standards. The system identifies common editorial errors and automatically applies fixes for deterministically verifiable issues.
Yes, automated editorial review maintains a record of all reviews in a database. It requires libraries for JSON and database interaction to track quality checks and applied corrections across curated dossiers.
The best way to check curated dossiers for editorial standards is combining automated script checks with AI-driven editorial review. This approach identifies common editorial errors and auto-corrects deterministically verifiable issues before publication.
Yes, you can automatically fix common editorial errors during dossier review. The system applies corrections for deterministically verifiable issues identified by automated quality assurance checks and LLM analysis.
Yes, you need libraries for JSON and database interaction to run automated quality checks on dossiers. These dependencies support data processing and tracking the review records in the database.
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