使用方法
- 复制安装命令，在自己的智能体环境安装前先检查源码包。
- 从原始文档核对所需工具、凭据和支持的宿主。
- 说明输入材料与期望交付物，并对照来源检查输出。
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill enumerate-combinations开始前需了解
- 安装不包含模型订阅、API 额度或访问文件的权限。
- 仓库星数和安装量反映活跃情况，不等于独立质量或安全测试。
仓库原始内容
按源仓库内容呈现，保留标题、案例、代码、表格、链接以及原文引用的演示图片。
enumerate-combinations
Purpose
Construct combinations across declared dimensions and values without prematurely judging them.
Input contract
yaml
required: [dimensions, value_sets, combination_policy]
optional: [exclusion_constraints, sampling_limit, random_seed]
constraints: [every emitted combination records its source values]Procedure
- Validate dimensions, values, and exclusions.
- Generate the Cartesian, constrained, or sampled combinations requested.
- Preserve provenance of each component and mark omitted combinations.
- Return the neutral combination set for downstream evaluation.
Output contract
yaml
produces: [combination_set, component_provenance, exclusions, omitted_space]
delta_fields: [findings, open_questions]Quality gates
- No combination is scored or filtered unless policy explicitly requests it.
- Exclusions are recorded with reasons.
- Sampled enumeration reports sampling rule and coverage limits.
Parameterization
Caller supplies dimension schema, value sets, combination mode, exclusions, and sampling policy.
Failure and counterexamples
Reject combinations with missing components, hidden exclusions, or premature quality judgments.
Provenance map
- concept: creative-ideation/matrix-construction
- concept: creative-ideation/recombination-generation
- concept: creative-ideation/combination-generation
