A toolbox for converting oral history transcription drafts into faithful, polished transcripts (Claude Skill): disfluency removal Pass1 + adversarial fidelity quality gate, prioritizing truth preservation while keeping all data local and private.
This skill is designed for Claude AI agents to transform raw, verbatim transcriptions of oral history interviews into polished, readable, and highly faithful documents. It addresses the specific challenge of cleaning up disfluencies (repetitions, filler words, false starts) in Pass 1 while preserving every meaning-critical element. Pass 2 then applies an adversarial quality gate that detects and flags any potential misrepresentations or omissions, ensuring absolute fidelity to the original speech. The entire process runs locally with no external data transmission, making it ideal for sensitive archival workflows. It is built as a Claude Skill, leveraging the agent's capabilities for careful, context-aware editing.
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A toolbox for converting oral history transcription drafts into faithful, polished transcripts (Claude Skill): disfluency removal Pass1 + adversarial fidelity quality gate, prioritizing truth preservation while keeping all data local and private.
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