abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Construct combinations across dimensions/values without prematurely judging them.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill enumerate-combinations --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill enumerate-combinations -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill enumerate-combinations -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill enumerate-combinations -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill enumerate-combinations -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill enumerate-combinations -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill enumerate-combinations -a windsurf -y
name: enumerate-combinations description: "Construct combinations across dimensions/values without prematurely judging them."
Construct combinations across declared dimensions and values without prematurely judging them.
required: [dimensions, value_sets, combination_policy] optional: [exclusion_constraints, sampling_limit, random_seed] constraints: [every emitted combination records its source values]
1. Validate dimensions, values, and exclusions. 2. Generate the Cartesian, constrained, or sampled combinations requested. 3. Preserve provenance of each component and mark omitted combinations. 4. Return the neutral combination set for downstream evaluation.
produces: [combination_set, component_provenance, exclusions, omitted_space] delta_fields: [findings, open_questions]
Caller supplies dimension schema, value sets, combination mode, exclusions, and sampling policy.
Reject combinations with missing components, hidden exclusions, or premature quality judgments.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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