Agent Skills
› aiming-lab/AutoResearchClaw
› statistical-method-design
statistical-method-design
GitHub用于在正式问题建模后设计统计方法、基线、诊断和消融实验，确保方法与目标假设一致。
Trigger Scenarios
需要设计统计方法或算法
需要定义基线和消融实验
Install
npx skills add aiming-lab/AutoResearchClaw --skill statistical-method-design -g -y
SKILL.md
Frontmatter
{
"name": "statistical-method-design",
"metadata": {
"category": "domain",
"priority": "1",
"trigger-keywords": "method proposal,estimator,algorithm,baseline,ablation,diagnostic,statistical method",
"applicable-stages": "3,4,5,6,7,8"
},
"description": "Design statistical methods, baselines, diagnostics, variants, and ablations that directly address a formal problem formulation.\n"
}
Statistical Method Design
Overview
Use this skill after formal problem formulation. The method should be a response to the formal target and assumptions, not a generic collection of techniques.
Required Method Proposal
For each method:
- Name
- Problem it solves
- Formula or algorithm
- Inputs and outputs
- Tuning parameters
- Required assumptions
- Diagnostics
- Expected failure modes
- Computational cost
- Relation to baselines
Baselines and Ablations
Always define meaningful baselines:
- Classical or standard method
- Naive or unadjusted method
- Oracle or idealized reference when available
- Robust variant
- Ablation removing the key design feature
Method-to-Claim Map
Every method must connect to at least one claim:
method_to_claim_map:
proposed_method:
claims: [C1, C2]
expected_evidence: "lower risk under stress condition"
theory_target: "consistency under assumptions A1-A3"
Version History
- e2e23c9 Current 2026-07-25 07:48
