abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Extract candidate concepts from evidence with explicit source provenance and precision/recall posture.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-concepts --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-concepts -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-concepts -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-concepts -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-concepts -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-concepts -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-concepts -a windsurf -y
name: extract-concepts description: "Extract candidate concepts from evidence with explicit source provenance and precision/recall posture."
Extract domain concepts, definitions, and relation candidates from a source while preserving source wording and scope.
required: [source, extraction_scope] optional: [concept_schema, domain_ontology, relation_cues] constraints: [each concept requires a source span and an uncertainty state]
1. Identify repeated technical terms, defined entities, and salient constructs. 2. Capture source definitions, aliases, scope qualifiers, and examples. 3. Link candidate relations only when the source expresses them. 4. Emit a deduplicated concept set with unresolved meanings retained.
If candidate concepts are identified but still bundle multiple meanings or operations, consider `atomize-concept` as the next tactic.
produces: [concept_records, definition_map, alias_map, relation_candidates, ambiguity_log] delta_fields: [findings, evidence_updates, uncertainties, open_questions]
Do not infer a concept solely from keyword frequency or merge terms with different operational meanings.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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