agentleFS
yogsoth-aiyogsoth-ai/knowledge-structuring/skills/combination-enumeration/SKILL.md

combination-enumeration

Skill2 starsChanged 6 months agoApache-2.0View on GitHub

SOP for systematically enumerating combinations across dimensions.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Must enumerate ALL combinations for the given dimensions, not just a sample.

    line 27

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Combination Enumeration

Systematically enumerate combinations by crossing dimension values.

Tool

vault_search + CC reasoning

Protocol

  1. Take 2-3 dimensions with their value lists
  2. Generate all combinations (Cartesian product)
  3. For each combination, search vault for existing work covering it
  4. Classify: occupied (existing work), empty (opportunity), impossible (constraint)
  5. Return classified matrix

HARD-GATE

<HARD-GATE> Must enumerate ALL combinations for the given dimensions, not just a sample. </HARD-GATE>

Yield

Returns: { total: number, occupied: number, empty: number, impossible: number }

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