Pattern Synthesizer

Extract reusable patterns from examples, signals, or repeated cases. Use when many observations exist and the next need is to identify the stable structure underneath rather than describe each case separately.

Alubiama Updated

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Pattern Synthesizer

Goal

Find the stable pattern underneath multiple examples or signals.

This skill does not summarize each item. It extracts the reusable structure, recurring mechanism, or common shape that matters for future decisions.

When To Use

  • several cases look similar
  • repeated observations need a unifying pattern
  • the next step needs a model, not another list

Scope Boundaries

In scope:

  • compare repeated cases
  • extract the common mechanism or structure
  • note where the pattern breaks

Out of scope by default:

  • statistical proof of the pattern
  • forcing pattern where only coincidence exists

Workflow

  1. List the examples or signals.
  2. Compare common structure.
  3. Extract the repeating mechanism.
  4. Note exceptions or breakpoints.
  5. State the reusable pattern and why it matters.

Output Contract

  1. input_examples
  2. pattern_candidate
  3. supporting_structure
  4. exceptions
  5. why_the_pattern_matters
  6. recommended_followup
  7. next_step

Guardrails

  • Do not force one pattern across clearly different cases.
  • Keep exceptions visible.
  • Prefer a humble pattern over an overfit grand theory.

Alubiama/awesome-cognitive-skills/tree/main/skills/pattern-synthesizer commit 95ec062adc

Frequently asked questions

npx skillmds@latest add alubiama/pattern-synthesizer