voice-call-report

Markdown reports from voice call transcripts are generated by processing a valid call SID, which produces a structured file with speaker labels and segment scores saved under tmp/reports/. The report includes per-segment health and score trajectory analysis.

Per-segment conflict health in call transcript analysis evaluates the stability or friction within individual dialogue segments. This Skill calculates a health score per segment and tracks score deltas to provide concise summaries for trajectory monitoring.

Yes, you need Docker, Python3, and psql installed to run voice call transcript reporting. These dependencies support the environment setup required to process transcripts and persist the formatted Markdown analysis files.

You can track score deltas across stored voice transcripts by applying this Skill to calculate score changes and generate concise summaries. This enables trajectory analysis across multiple call segments for ongoing performance monitoring.

The best way to format speaker labels and call scores into a summary is using this transcript analysis tool to output structured Markdown. It formats per-segment scores and health checks while persisting the final report to a local directory.

Voice call reports may not save to tmp/reports if Docker, Python3, or psql dependencies are missing, or if the provided call_sid is invalid. Ensure all environment prerequisites are configured correctly before generating the Markdown file.