ask-obstacle-acceptance
$
npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/ask-obstacle-acceptanceAsk user to accept obstacles with severity and mitigation details
- Helps users evaluate risks and constraints in a proposed direction
- Uses dialogue to gather feedback and validate assumptions
- Assesses acceptance based on severity, mitigation, and effort
- Returns to candidate options if obstacles are not accepted
SKILL.md
.github/skills/ask-obstacle-acceptanceView on GitHub ↗
--- name: ask-obstacle-acceptance description: Present obstacles with their severity assessments and proposed mitigations to the user. Ask whether they can accept these obstacles. If unacceptable after 2 rounds, return to present-candidates. execution: dialogue --- # Ask Obstacle Acceptance Get user's acceptance of the obstacle landscape. ## Execution Dialogue — inline, no subagent. ## What to Present Each obstacle with: - Severity assessment - Proposed mitigation - Estimated effort ## What to Ask (one at a time) - Given these obstacles and mitigations, can you accept this direction? - Are there difficulties I missed that you're aware of? - Is there any obstacle here that's a complete deal-breaker? ## Search Optional — may use the 5 imported skills if user raises new concerns that need investigation. ## If Unacceptable Signal to tactic that direction needs to change (return to present-candidates in direction-narrowing tactic). ## Output User's acceptance decision + any new concerns raised.
More from yogsoth-ai/de-anthropocentric-research-engine
- abductive-hypothesis-generationStrategy: 面对异常的最佳解释推理
- ablation-brainstormRemove components one by one, observe system changes to reveal hidden dependencies and generate ideas from structural gaps.
- ablation-component-mappingMap system architecture to ablatable units for ablation studies
- ablation-designDesign ablation studies to isolate component contributions in ML systems
- ablation-executionRemove components one by one from a system, record the response/impact of each removal.
- abp-vulnerability-classificationClassify assumptions on 2 axes — load-bearing (how much conclusion depends on it) × vulnerable (how likely to be false). Focuses attention on High-Load × High-Vulnerable quadrant.
- abstraction-extractionExtract abstract principles from concrete domain cases. Strips domain-specific details to reveal transferable mechanisms.
- abstraction-ladderPerform bisociation at multiple abstraction levels
- abstraction-ladderingMove between concrete and abstract framings — 3 levels up (Why?) and 3 levels down (How?) to find the most productive research level.
- abstraction-to-designAbstract biological principle to design principle. Bridge from biology to engineering.