lyndonkl/claude/check-analogy-novelty

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Cross-references each proposed analogy in a 5-framing set against substacker shared-context/analogy-catalog.md to flag reuse. Classifies each analogy as new, reused-from-catalog (and which entry), or adjacent-to-catalog (close to an existing entry but not identical). Prevents the writer from recycling "imagine a library" for the twentieth time. Use after generate-analogy-set and before presenting framings to the writer. Trigger keywords — novelty, catalog, analogy reuse, already used, imagine a library.

Install

npx vskill@latest install lyndonkl/claude/check-analogy-novelty

SKILL.md

Check Analogy Novelty

Table of Contents

Related skills: Called by the Intuition Builder after generate-analogy-set and before presenting framings. Reads shared-context/analogy-catalog.md. Does NOT write to the catalog — that's update-analogy-catalog's job, fired on publish.

Workflow

For each of the 5 framings:
- [ ] Step 1: Extract the analogy's source domain (e.g., "library card catalog")
- [ ] Step 2: Extract the analogy's target concept (e.g., "KV cache")
- [ ] Step 3: Grep analogy-catalog.md for exact or near-exact source × target match
- [ ] Step 4: Classify: new | reused-from-catalog | adjacent-to-catalog
- [ ] Step 5: For reused/adjacent, cite the catalog entry with its post

Match tiers

  • New: neither the source nor a close variant of it appears in the catalog for this target concept.
  • Reused-from-catalog: exact source × target match — writer already used this analogy in a published post. Flag strongly; either justify reuse or swap.
  • Adjacent-to-catalog: source matches a nearby analogy in the catalog (e.g., "drawer" vs. "card catalog") or target is in the catalog but source differs. Flag softly — writer should see the adjacency.

"Close variant" = same source domain (library, immune system, bucket brigade) even if different specific instance.

Worked example

Proposed framings for KV cache:

  1. Everyday: "a library's card catalog with a fixed drawer count"
  2. Physical metaphor: "a ring buffer with index"
  3. Contrarian: "the cache is not the table — it's the index into what's been already paid for"
  4. Historical: "before caches, every lookup was recomputation"
  5. Counterfactual: "remove the cache and decode becomes quadratic"

Catalog check:

  • Entry in catalog: "Agents as departments reading each other's memos but never sitting in on each other's meetings" — source: institutional. Target: multi-agent. Not related to KV cache.
  • Entry: "Bucket brigade" — source: bucket brigade. Target: sequential multi-agent. Not related.
  • No entry for library → KV cache, or ring buffer, or index.

Output:

  1. Everyday: new
  2. Physical metaphor: new
  3. Contrarian: new
  4. Historical: new
  5. Counterfactual: new

But: if the catalog had an entry "Library index → tokenizer vocabulary", framing 1's adjacency would trigger: "adjacent-to-catalog — library appears once for a different target". Flag softly.

Guardrails

  1. Read-only. Never writes to the catalog.
  2. Match on both source domain and target concept. Same source for different target is an adjacency, not a reuse.
  3. Flag adjacencies, don't auto-reject — the writer decides if reuse is intentional (a recurring analogy can be a feature).
  4. Cite the catalog entry + post when flagging. "Reused from catalog" without pointing to the entry is useless.
  5. Don't expand near-matches to other analogy directions (biology vs. organizational are different domains, never flag across).
  6. If the catalog is empty (early-stage publication), all framings are new by definition. Note this once in the output.

Quick reference

  • Input: list of 5 framings + analogy-catalog.md.
  • Output: per-framing classification {new | reused-from-catalog | adjacent-to-catalog} with citation.
  • Side effect: none. Read-only.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
147
Repository forks
22
7-day trend score
25

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 10 Jun 2026, 4 months ago.

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