One repeatable pass that keeps fak's growing namespace CRYSTAL-CLEAR - each similar-sounding concept (cache / vCache / KV cache / cachemeta / the provider prompt-cache; guard vs gate; the two witnesses) given one canonical name, a written definition, and an explicit line drawn against the siblings it is confused with. Runs the concept-disambiguation scorecard (tools/conceptdisambiguationscorecard.py) over a data dir of confusable-concept rows cross-checked against the tree (the grounding token must appear in the production corpus; the glossary anchor must exist; a distinctfrom reference must resolve), turns each HARD defect into a required fix (rename a true canonical collision, write a missing definition, draw + anchor a missing distinction, replace a fabricated grounding) and each uncovered tree token into a coverage row to ADD, retires disambiguation-debt worst-first, re-measures to PROVE the debt dropped, and commits only the scorecard lane by explicit path. The NAMING-clarity counterpart of conflation-score (number provenance) and product-score (can a person use the concept). Use after adding a confusable name, when two concepts blur, or on a /loop cadence to keep the vocabulary from fogging as it grows.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryProduct & designStars0
About this skill
One repeatable pass that keeps fak's growing namespace CRYSTAL-CLEAR - each similar-sounding concept (cache / vCache / KV cache / cachemeta / the provider prompt-cache; guard vs gate; the two witnesses) given one canonical name, a written definition, and an explicit line drawn against the siblings it is confused with. Runs the concept-disambiguation scorecard (tools/conceptdisambiguationscorecard.py) over a data dir of confusable-concept rows cross-checked against the tree (the grounding token must appear in the production corpus; the glossary anchor must exist; a distinctfrom reference must resolve), turns each HARD defect into a required fix (rename a true canonical collision, write a missing definition, draw + anchor a missing distinction, replace a fabricated grounding) and each uncovered tree token into a coverage row to ADD, retires disambiguation-debt worst-first, re-measures to PROVE the debt dropped, and commits only the scorecard lane by explicit path. The NAMING-clarity counterpart of conflation-score (number provenance) and product-score (can a person use the concept). Use after adding a confusable name, when two concepts blur, or on a /loop cadence to keep the vocabulary from fogging as it grows.
Quick start
Copy the install prompt. Use the green button above this README.
Send it to your agent. Paste it into your coding agent’s chat and send.
Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
One repeatable pass that keeps fak's growing namespace CRYSTAL-CLEAR - each similar-sounding concept (cache / vCache / KV cache / cachemeta / the provider prompt-cache; guard vs gate; the two witnesses) given one canonical name, a written definition, and an explicit line drawn against the siblings it is confused with. Runs the concept-disambiguation scorecard (tools/concept_disambiguation_scorecard.py) over a data dir of confusable-concept rows cross-checked against the tree (the grounding token must appear in the production corpus; the glossary anchor must exist; a distinct_from reference must resolve), turns each HARD defect into a required fix (rename a true canonical collision, write a missing definition, draw + anchor a missing distinction, replace a fabricated grounding) and each uncovered tree token into a coverage row to ADD, retires disambiguation-debt worst-first, re-measures to PROVE the debt dropped, and commits only the scorecard lane by explicit path. The NAMING-clarity counterpart of conflation-score (number provenance) and product-score (can a person use the concept). Use after adding a confusable name, when two concepts blur, or on a /loop cadence to keep the vocabulary from fogging as it grows.
About this listing
Category
Product & design
Reported license
Apache-2.0
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.