decompose-research-question
SkillProductivityLets your agent break a complex research question into subquestions and plan the order to answer them.
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 decompose-research-question skill
About this skill
Decompose a complex RQ into MECE subquestions, map dependencies, and schedule the answering order.
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/decompose-research-question/SKILL.md and read by ahel’s review.
Purpose
Decompose a complex RQ into MECE subquestions, map dependencies, and schedule the answering order.
Input contract
required: [research_question, scope_constraints, dependency_evidence]
optional: [assumptions, prior_findings, evidence_updates]
constraints: [consume named scientific objects; preserve provenance; keep unresolved uncertainty visible]
Execution protocol
Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.
- You MUST load skill
generate-subquestionsto generate answerable subquestions. - You MUST load skill
map-dependenciesto map their evidence and logical dependencies. - You MUST load skill
sequence-workto sequence the dependent research work.
Deviation: reorder only when a dependency is already satisfied or unavailable; record the reason and confidence effect.
Output contract
produces: [subquestion_set, dependency_map, answering_sequence]
delta_fields: [open_questions]
Thresholds and quality gates
- Each output is traceable to an input object, operation, and evidence reference.
- Scope, assumptions, and unresolved alternatives remain explicit.
- Retain $\alpha$ 0.05 and power 0.8 wherever the predeclared statistical design requires them.
Failure and counterexamples
Stop synthesis when a required object is absent, a precondition is violated, or a counterexample invalidates the proposed conclusion; return the partial delta with the failure recorded.
Provenance map
- resolved: decomposition-formulation
- resolved: sub-question-decomposition
Preserved source criteria ledger
| source | criterion | treatment |
|---|---|---|
| resolved v3 entries above | node-specific criteria | retained and specialized to the v4 object contract |
| experiment-execution/statistical-testing | $\alpha$ = 0.05 | fixed value retained where applicable |
| experiment-execution/sample-size-estimation | power = 0.8 | fixed value retained where applicable |
Context checkpoint / Delta notes
Return the node-specific research-state delta and preserve findings, evidence updates, uncertainties, decisions, open questions, and recommended jumps as applicable.
Signals
- GitHub stars
- 501
- Forks
- 41
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Key
decompose-research-question- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine