extract-core-conflict
SkillDev toolsLets your agent map a core conflict between goals into a structured diagram with the assumptions behind each dependency spelled out.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the extract-core-conflict skill
About this skill
Represent a core constraint conflict in an Evaporating-Cloud-like structure with explicit assumptions on every dependency.
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/extract-core-conflict/SKILL.md and read by ahel’s review.
Purpose
Represent a core constraint conflict in an Evaporating-Cloud-like structure with explicit assumptions on every dependency.
Input contract
required: [undesirable_effects, constraint_relations, assumption_records]
optional: [evidence, assumptions, prior_results]
constraints: [use named scientific objects; retain provenance and missingness; $\alpha$ = 0.05 and power = 0.8 where applicable]
Procedure
- Validate the typed inputs and state the decision this operation must support.
- Apply the declared operation to the named object; record intermediate values that affect interpretation.
- Check boundary conditions and counterexamples, then emit the result with uncertainty and source links.
Output contract
produces: [extract_core_conflict_result, evidence_trace, uncertainties]
delta_fields: [evidence_updates, uncertainties]
Quality gates
- Inputs are named scientific objects with compatible schemas.
- Every material result has a derivation or source reference.
- Fixed statistical criteria remain exact where applicable: $\alpha$ 0.05 and power 0.8.
Failure and counterexamples
Return a failed operation with the violated precondition when inputs are incomplete, assumptions are unsupported, or a counterexample defeats the result.
Provenance map
- intermediate: experiment-execution/core-conflict-extraction
Signals
- GitHub stars
- 501
- Forks
- 41
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Key
extract-core-conflict- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine