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dillylang-decompose
Decomposes a problem into axioms, derivations, and assumptions. Trigger= /dillylang-decompose PROBLEM
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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Decomposes a problem into axioms, derivations, and assumptions. Trigger= /dillylang-decompose PROBLEM
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Trigger: /compress-file FILEPATH or "compress <file>"
Maps problem structure to other domains, importing mechanism not metaphor. Trigger= /dillylang-analogize PROBLEM
Promotes exploratory prose into canonical docs through a conservative 5-stage gate — extract, route, judge, rank, synthesize. Model C recipe with operator-confirmed routing. Trigger= /dillylang-canonize PROSE
Judges an artifact against an explicit criterion. Trigger= /dillylang-evaluate CRITERION ARTIFACT
Applies Munger / Jacobi inversion on a problem statement. Trigger= /dillylang-invert PROBLEM
Execute Dillylang recipes with visible step-by-step traces and intermediate artifacts. Use when the user wants to run, apply, or execute any named Dillylang recipe on a problem — including informal phrasing like using a recipe name as a verb.
| name | dillylang-decompose |
| description | Decomposes a problem into axioms, derivations, and assumptions. Trigger= /dillylang-decompose PROBLEM |
decompose[[THIS is_grounded_by: urn:unique_reference:dillylang::spec-primer]]
Decompose the given problem statement into its structural foundations.
Separate what's load-bearing from what's assumed. Not a generic outline — a search for axioms.
Calibration example:
Rejected: "Axiom: The system should be reliable. Justification: Reliability is important." (Not foundational — restates a vague desideratum with no structural content.)
Accepted: "Axiom: Every pipeline run must emit an inspectable trace. Justification: Debugging requires per-step visibility; without traces, prompt iteration is guess-and-check against end-to-end output only."
If a focus is provided (e.g. /dillylang-decompose @file.md "requirements and constraints"),
narrow the decomposition to those structural aspects. Otherwise, perform
general structural decomposition over the full input.
Foundational statements that are not derivable from other statements in this decomposition. The bedrock.
Each entry must include:
Claims that follow from axioms. Each must trace its logical ancestry.
Each entry must include:
Calibration example:
Rejected (circular): "DV-1. The system must be tested. Depends on: AX-1 (traces are required), AX-2 (operators produce structured output)." (The claim doesn't follow from those axioms — it follows from general engineering practice. The "Depends on" launders an unstated premise.)
Rejected (restatement): "DV-1. The pipeline must be staged. Depends on: AX-1, AX-2, AX-3, AX-4." (Cites every axiom without showing how any of them entails staging. A derivation that restates an axiom's implication in different words, or hedges by citing everything, has not derived — it has summarized.)
Accepted: "DV-1. Budget exhaustion must halt mid-pipeline, not retry. Depends on: AX-1 (fixed call ceiling), AX-3 (drift dominates past saturation). If calls are capped (AX-1) and extra calls degrade quality (AX-3), retrying on exhaustion makes the output worse, not better."
Statements treated as true without justification. The hidden load-bearing walls — identify them before someone removes one.
Each entry must include:
Calibration example:
Rejected: "AS-1. The approach will work. Load-bearing: yes. Testable: we'll know when we try it." (Unfalsifiable — "we'll know when we try it" is not a test, it's a deferral. Name the observable that distinguishes success from failure.)
Accepted: "AS-1. LLMs can reliably distinguish structural transformation from restatement when prompted. Load-bearing: yes. Testable: run decompose on three inputs with and without the self-review instruction; compare axiom sets against human judgment of which items add structure vs. restate the input."
n is sequential starting from 1 in each section.
After generating your output, review each axiom: state what structural relationship it reveals that the input text didn't make explicit. Axioms that restate the input in different words have not done work — strengthen or replace them.