Debate Transcript Analysis
Documentsdebate-transcript-analysisDebate Transcript Analysis is an Agent Skill for documents published in the yogsoth-ai/de-anthropocentric-research-engine repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.
Extracts key turning points, patterns, and insights from completed debate transcripts. Produces structured summary for verdict synthesis.
How to use this skill
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Inspect the Agent Skill at https://github.com/yogsoth-ai/de-anthropocentric-research-engine/blob/HEAD/skills/debate-transcript-analysis/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/debate-transcript-analysis, but wait for my approval before writing files or running scripts.
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Debate Transcript Analysis
Extracts key turning points from completed debates.
Execution
Subagent — spawned via subagent-spawning/spawn-agent.
Why Subagent
Post-debate analysis requires reviewing the full transcript with fresh eyes — isolated context prevents anchoring to any single round's perspective.
Input
- full_transcript: Complete debate transcript (all rounds)
- round_verdicts: All judge verdicts
- final_confidence: Final calibrated confidence score
Output
- turning_points: Moments where the debate shifted significantly
- key_vulnerabilities: Most impactful weaknesses identified
- strongest_defenses: Most effective counter-arguments
- unresolved_tensions: Issues that remained contested
- summary: Concise narrative of the debate arc
Budget
One unit = one transcript analysis per completed debate.
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. |