Answering Sequence Design
SkillMediaSOP: Design the optimal answering order for sub-questions
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Answering Sequence Design skill
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/answering-sequence-design/SKILL.md and read by ahel’s review.
Design the optimal answering order for sub-questions — based on dependency relationships and resource efficiency.
HARD-GATE
Pipeline
- Precondition check: is the dependency graph acyclic
- Topological sort: determine the basic order based on dependency relationships
- Parallel grouping: identify sub-questions that can proceed simultaneously
- Resource optimization: adjust the order considering resource constraints
- Risk ordering: prioritize high-risk/high-uncertainty items (fail fast)
- Final sequence: determine the optimal sequence by integrating the above factors
- Output: execution sequence + phased plan + parallelization opportunities
Output Format
Phase 1 (parallel): [SQ1, SQ3] — no mutual dependencies
Phase 2 (sequential): [SQ2] — depends on SQ1
Phase 3 (parallel): [SQ4, SQ5] — depend on SQ2
Rationale: [why this order is optimal]
Risk note: [which sub-questions, if they fail, will affect subsequent ones]
Signals
- GitHub stars
- 469
- Forks
- 37
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
answering-sequence-design- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine