/concept-decomposition
Tactic for breaking compound concepts into atomic parts — split over-broad
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill concept-decomposition --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/concept-decomposition
Context preview
The summary Claude sees to decide when to auto-load this skill.
Tactic for breaking compound concepts into atomic parts — split over-broad
SKILL.md
concept-decomposition.SKILL.mdname: concept-decomposition
description: Tactic for breaking compound concepts into atomic parts — split over-broad
concepts, identify sub-components, create child pages.
execution: tactic
dependencies:
sops:
- alias-resolution
- concept-page-creation
- edge-batch-creation
Concept Decomposition
Break compound or over-broad concepts into their atomic constituents. A concept that means too many things should become multiple focused concepts connected by edges.
Available SOPs
- wiki-search — find existing sub-concepts
- concept-page-creation — create new atomic concept pages
- edge-batch-creation — connect parent to children
- alias-resolution — ensure no naming conflicts
Guiding Principles
- **Atomic means testable.** If you can't write a one-sentence definition, the concept is too broad.
- **Preserve the parent.** Decomposition creates children; the parent becomes a container (component_of edges).
- **Stop at utility.** Don't decompose below the level where distinctions matter for the research.
Minimum Yield
<HARD-GATE> ≥2 child concepts created per decomposition invocation. If a concept cannot be meaningfully decomposed, report it as atomic and exit. </HARD-GATE>
<!-- BEGIN available-tables (generated) -->
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | | --- | --- | | alias-resolution | SOP for detecting and resolving concept aliases — merge duplicate pages, redirect edges. | | concept-page-creation | SOP for creating a new concept page with proper frontmatter, content, and initial edges. | | edge-batch-creation | SOP for creating multiple edges in a batch — efficient bulk relationship creation. |
<!-- END available-tables (generated) -->
Read more
name: concept-decomposition description: Tactic for breaking compound concepts into atomic parts — split over-broad concepts, identify sub-components, create child pages. execution: tactic dependencies: sops: - alias-resolution - concept-page-creation - edge-batch-creation
Concept Decomposition
Break compound or over-broad concepts into their atomic constituents. A concept that means too many things should become multiple focused concepts connected by edges.
Available SOPs
- wiki-search — find existing sub-concepts
- concept-page-creation — create new atomic concept pages
- edge-batch-creation — connect parent to children
- alias-resolution — ensure no naming conflicts
Guiding Principles
- **Atomic means testable.** If you can't write a one-sentence definition, the concept is too broad.
- **Preserve the parent.** Decomposition creates children; the parent becomes a container (component_of edges).
- **Stop at utility.** Don't decompose below the level where distinctions matter for the research.
Minimum Yield
<HARD-GATE> ≥2 child concepts created per decomposition invocation. If a concept cannot be meaningfully decomposed, report it as atomic and exit. </HARD-GATE>
<!-- BEGIN available-tables (generated) -->
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | | --- | --- | | alias-resolution | SOP for detecting and resolving concept aliases — merge duplicate pages, redirect edges. | | concept-page-creation | SOP for creating a new concept page with proper frontmatter, content, and initial edges. | | edge-batch-creation | SOP for creating multiple edges in a batch — efficient bulk relationship creation. |
<!-- END available-tables (generated) -->
The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.
Repo: yogsoth-ai/de-anthropocentric-research-engine
Other skills on de-anthropocentric-research-engine.
- /formated-results
Closing skill for the research-executor, loaded as the last step of formated-specs. Summarize the design just produced into one research-result JSON fenced block in your reply. Do not execute the research.
Open skill - /formated-specs
Spec-slot skill for the research-executor. Emit the 4-layer DARE orchestration of the assigned topic as one research-graph JSON fenced block in your reply. Replaces the generic spec-writing step.
Open skill - /injection-fidelity
Loss-1 judge (codex role). Given one sample's de-identified dialogue and its PolicyCard, decide axis-by-axis whether the user-simulator enacted the card's per-axis pressure. Judge enactment of the card, never whether the research is good.
Open skill - /ladder-quality-order
Loss-2 judge (codex role). Over one topic's 6 shuffled research-design samples, pairwise-rank by quality using the D1–D5 standard. Emit the pairwise log; the harness computes the order and the ladder verdicts. Judge quality difference, never against academic standards.
Open skill - /optimization-loop
The optimizer brain for the ladder-foundry pretraining loop. Runs the two-level nested batch loop, delegates gating to gate_eval, attributes a failing batch to one weight (attribute-first), and recovers from disk after compaction. Control flow is fully scripted; only the
Open skill - /acu-nugget-recall
Tactic: Extract atomic units from one paper and score how much of a caller-supplied summary covers. Use for ACU-style binary or Nugget-style ternary recall checks; cannot run without a target summary.
Open skill

