abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
@yogsoth-aiInstall SkillAutomation
Skill
/decompose-ishikawa
Build an Ishikawa-style causal decomposition across relevant cause families.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill decompose-ishikawa --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill decompose-ishikawa -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill decompose-ishikawa -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill decompose-ishikawa -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill decompose-ishikawa -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill decompose-ishikawa -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill decompose-ishikawa -a windsurf -y
SKILL.md
decompose-ishikawa.SKILL.mdname: decompose-ishikawa description: "Build an Ishikawa-style causal decomposition across relevant cause families."
decompose-ishikawa
Purpose
Build an Ishikawa causal decomposition across relevant cause families.
Input contract
required: [effect_statement, cause_families] optional: [evidence_records, system_boundary] constraints: [cause families must be named and causes linked to the effect]
Procedure
1. Place the normalized effect at the head of the diagram. 2. Populate relevant method, data, theory, measurement, researcher, and environment branches. 3. Subdivide each branch into testable causes and mark evidence status.
Output contract
produces: [ishikawa_map, cause_register, evidence_status] delta_fields: [findings, assumption_updates, uncertainties]
Quality gates
- Every cause belongs to a declared family and has a testability or evidence note.
Failure and counterexamples
Reject a decorative fishbone with no causal links or one that treats categories as causes without support.
Provenance map
- `deep-insight/ishikawa-decomposition`: resolved.
Ships withde-anthropocentric-research-engine
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
507200 skills
Stars on GitHub
Momentum
- stars in total
- 507
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Questions about decompose-ishikawa.
- Which coding agents can use decompose-ishikawa?
- decompose-ishikawa installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.