name: research-closure description: Enforce a claim-to-evidence-to-decision workflow for research projects. Use when planning experiments, implementing research code, analyzing results, changing scope, or preparing weekly updates.
Research Closure Skill
Objective
Turn open-ended research into small, inspectable, closed units.
The governing loop is:
Frozen claim
→ falsifiable hypothesis
→ bounded test
→ evidence
→ explicit decision
→ written artifact
Start-of-task protocol
Read .research/state.json and .research/claim_graph.json (the claim graph is the
engine), then run:
python tools/research_closure.py guard
python tools/claim_graph.py frontier
python tools/research_closure.py next
Report:
Frozen claim:
Session deliverable:
Out of scope:
Ready frontier: (the probes whose guards are satisfied)
Resolution map: determined (<verdict>) | open
If there is no frozen claim, do not create a large implementation. Help define a 7–14
day claim first, then author the claim graph (claim_graph.py init --claim "...",
then add-variable / add-edge / add-absent / add-probe / add-resolution,
then validate) before start-sprint.
New-experiment gate
Before coding, require all fields:
Question:
Hypothesis:
Intervention:
Measurement:
Expected artifact:
Kill criterion:
Time budget:
Claim-graph probe: (the P-node this experiment runs; must be on the ready frontier)
Reject vague tasks such as:
- “explore whether this works”;
- “try several alternatives”;
- “improve the method”;
- “find a better objective”.
Rewrite them as a single testable claim.
Result gate
Every experiment ends in exactly one decision:
supportedfalsifiedinconclusiveterminated
“Inconclusive” must name a specific defect, such as estimator variance, implementation uncertainty, insufficient intervention range, or metric saturation.
Never accept “needs more experiments” as a complete decision.
Scope gate
A new idea is in scope only if success or failure directly changes confidence in the frozen claim.
Otherwise:
python tools/research_closure.py add-idea \
--idea "..." \
--reason "Does not test the current frozen claim."
Failure handling
Use this order:
- implementation correctness;
- measurement validity;
- hypothesis falsification;
- claim narrowing;
- termination;
- project pivot.
Do not jump from step 1 to step 6.
Graduation-mode optimization
Prefer:
- existing code over a rewrite;
- a minimal environment over a new benchmark;
- a correct limited theorem over a universal informal claim;
- a complete note over an additional method;
- a decision over continued ambiguity.
End-of-task protocol
Report:
Artifact produced:
Evidence:
Decision:
Next smallest action:
Then update the CLI state or write the relevant decision log.
Ingénierie de Prompts
Data & IA
Bonnes pratiques et templates de prompt engineering pour maximiser les résultats IA.
Visualisation de Données
Data & IA
Génère des visualisations de données et graphiques adaptés à vos données.
Architecture RAG
Data & IA
Guide de configuration d'architectures RAG (Retrieval-Augmented Generation).