# Debate Transcript Analysis > Debate 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. - Skill name: `debate-transcript-analysis` - Category: [Documents](https://www.openparable.com/skill/documents/1) - Source: https://github.com/yogsoth-ai/de-anthropocentric-research-engine/blob/HEAD/skills/debate-transcript-analysis/SKILL.md - Repository: yogsoth-ai/de-anthropocentric-research-engine (386 GitHub stars when collected) ## SKILL.md # 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. | --- Source: https://www.openparable.com/skill/documents/debate-transcript-analysis (OpenParable). Cite the canonical URL above.