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Concept Decomposition · yogsoth-ai | DecimalAI

documentationby yogsoth-ai

Concept Decomposition

yogsoth-ai/concept-decomposition

Source yogsoth-ai/de-anthropocentric-research-engine ↗License Apache-2.0

Tactic for breaking compound concepts into atomic parts — split over-broad concepts, identify sub-components, create child pages.

SkillScore91Maintained

Automatic

Knowledge Management pack

Last verified 8/22/2026

What it changes

Passed 20 of 22 test cases with the skill, and 10 of 22 without it.

Without skill45%

With skill91%

Checks it passed that the model alone missed

The response invokes concept-page-creation to produce child concept pages.
The response connects the child concepts to the parent using component_of edges.
The response links the child concepts to Generative AI Security using component_of edges.

and 10 more in the full report

11 fixed9 passed either way1 still failing1 broke

Pass-rate lift: +45 pp
Tokens: -24%
Agent turns: 0%
Response time: -43%

Model gemini-3.6-flashMeasured 8/22/2026v120 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/yogsoth-ai-concept-decomposition/SKILL.md https://app.decimal.ai/s/yogsoth-ai-concept-decomposition/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add yogsoth-ai-concept-decomposition, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/yogsoth-ai-concept-decomposition/ and pins it in .decimal/skills.lock

decimalai skills add yogsoth-ai-concept-decomposition

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/yogsoth-ai-concept-decomposition/SKILL.md https://app.decimal.ai/s/yogsoth-ai-concept-decomposition/SKILL.md

Raw file: /s/yogsoth-ai-concept-decomposition/SKILL.md ↗ · machine-readable summary at /s/yogsoth-ai-concept-decomposition.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 11

Prompt

In the knowledge graph for 'Site Reliability Engineering Observability', what specific edge type links the child sub-concepts 'Distributed Tracing' and 'Log Aggregation' to the parent container?

What was checked, without and with the skill
Checked	Without skill	With skill
The response specifies component_of as the edge relationship between children and the parent concept.	Missed	Passed

case-15 · gemini-3.6-flash · 8/22/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md37 linessingle file

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

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.

Track record

Benchmark

20 / 22

test cases passed, vs 10 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

yogsoth-ai / de-anthropocentric-research-engine

skills/concept-decomposition/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

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See it in action

What's inside

Concept Decomposition

Available SOPs

Guiding Principles

Minimum Yield

Available SOPs

Track record

Benchmark

Adoption

SkillSafety

Source

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