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/component-decomposition

Decompose system into functional components, identify dependencies, and

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de-anthropocentric-research-engine
393200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill component-decomposition --agent claude-code

How 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/component-decomposition

Context preview

The summary Claude sees to decide when to auto-load this skill.

Decompose system into functional components, identify dependencies, and

SKILL.md

component-decomposition.SKILL.md
name: component-decomposition
description: Decompose system into functional components, identify dependencies, and
  surface trimming candidates.
execution: tactic
dependencies:
  sops:
  - function-model-construction
  - trimming-execution

Component Decomposition

Decompose a system into its functional components, map dependencies, and identify candidates for trimming or surgical modification.

Stages

Stage 1: Function Model Construction

Build complete functional model using function-model-construction SOP. Identify all components and their interactions (useful, harmful, insufficient, excessive).

Stage 2: Parameter Identification

For each component, identify key parameters using parameter-identification SOP. Map which parameters are shared, conflicting, or independent.

Stage 3: Trimming Candidate Selection

Evaluate each component for trimming potential via trimming-execution SOP criteria: high harmful-function ratio, function redistributable to neighbors, low integration cost.

Minimum Yield

| Metric | Floor | |--------|-------| | Components identified | ≥5 | | Interactions mapped | ≥8 | | Trimming candidates | ≥3 | | Parameters per component | ≥2 |

Available SOPs

| SOP | Role | |-----|------| | function-model-construction | Stage 1 — build functional model | | parameter-identification | Stage 2 — extract component parameters | | trimming-execution | Stage 3 — evaluate trimming feasibility | | surgery-operation | Post — apply surgical operations to candidates |

<!-- BEGIN available-tables (generated) -->

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

| SOP | When to use | | --- | --- | | function-model-construction | Build substance-field functional model of a system, annotating useful, harmful, insufficient, and excessive interactions. | | trimming-execution | Progressively remove components from a system while verifying function preservation through redistribution. |

<!-- END available-tables (generated) -->

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Ships withde-anthropocentric-research-engine

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.

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Repo: yogsoth-ai/de-anthropocentric-research-engine