# Radar Synthesis

> Radar Synthesis 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.

Synthesize multiple dimension scores into radar chart data and compute overall readiness.

- Skill name: `radar-synthesis`
- Category: [Documents](https://www.openparable.com/skill/documents/1)
- Source: https://github.com/yogsoth-ai/de-anthropocentric-research-engine/blob/HEAD/skills/radar-synthesis/SKILL.md
- Repository: yogsoth-ai/de-anthropocentric-research-engine (386 GitHub stars when collected)

## SKILL.md

# Radar Synthesis

Combine individual dimension assessment scores into a unified radar chart representation and compute an overall readiness score. Produces visualization-ready data and a narrative summary.

## Execution

Spawns a subagent that:
1. Receives all dimension scores for a candidate
2. Normalizes scores to a common scale
3. Computes weighted overall readiness
4. Structures data for radar chart visualization
5. Produces narrative summary of the readiness profile

## Why Subagent

Synthesis requires holistic analysis of the score pattern — identifying asymmetries, computing weighted averages, and producing narrative interpretation that considers dimension interactions.

## HARD-GATE

Output MUST include: radar_chart_data with all dimensions, overall_readiness score, and narrative summary. Reject if any dimension from input is missing in output.

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## 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. |

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Source: https://www.openparable.com/skill/documents/radar-synthesis (OpenParable). Cite the canonical URL above.