formated-results
Closing skill for the research-executor, loaded as the last step of formated-specs. Summarize the design just produced into one research-result JSON fenced…
Generate compressed conflicts (oxymorons) from problem contradictions
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill compressed-conflict --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/compressed-conflictContext preview
The summary Claude sees to decide when to auto-load this skill.
Generate compressed conflicts (oxymorons) from problem contradictions
name: compressed-conflict description: Generate compressed conflicts (oxymorons) from problem contradictions and extract concrete idea directions from the symbolic tension. execution: tactic dependencies: sops: - analogy-chain - springboard-launch - symbolic-compression
Generate compressed conflicts (oxymorons) from problem contradictions and extract concrete idea directions.
Identify the core contradiction in the problem and compress it into 2-3 word oxymorons using symbolic-compression SOP. Generate multiple oxymorons capturing different facets of the tension.
Take the most evocative oxymorons and deepen them through analogy chaining using analogy-chain SOP. Each layer reveals new aspects of the contradiction and potential resolution paths.
Extract concrete idea directions from the symbolic tensions. Each oxymoron should suggest at least one mechanism that resolves the contradiction it embodies.
| Metric | Floor | |--------|-------| | Contradictions identified | ≥2 | | Oxymorons generated | ≥4 | | Oxymorons with concrete idea directions | ≥2 | | Analogy chain depth | ≥3 layers |
| SOP | Role | |-----|------| | symbolic-compression | Stage 1 — compress contradictions into oxymorons | | analogy-chain | Stage 2 — deepen oxymorons through layers | | springboard-launch | Stage 3 — convert symbolic insights to solutions | | synectics-synthesis | Post — synthesize compressed conflict outputs |
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Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | | --- | --- | | analogy-chain | Chain analogies to deeper levels (3-5 layers). Each layer reveals new aspects and insights not visible at the surface. | | springboard-launch | Convert analogy insights into concrete feasible solutions. Transform abstract connections into actionable mechanisms. | | symbolic-compression | Compress problem contradiction into 2-3 word oxymoron. Produces oxymorons with interpretation directions for each. |
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The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.
Repo: yogsoth-ai/de-anthropocentric-research-engine
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