dandye/ste-writing-style/ste-dictionary-generate
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Automatically generate a project-specific Extensible STE Dictionary (.ste-dictionary.yaml) from a codebase or document set. Cross-references the `information-architecture` skill suite (`vocabulary-overlap-analysis`, `thesaurus-generate`, `named-entity-normalization`) to discover proprietary technical terms, software/hardware entities, UI names, and action verbs, formatting them into ASD-STE100 schema. Use when initializing STE documentation for a new repository or updating an existing project dictionary.
Install
npx vskill@latest install dandye/ste-writing-style/ste-dictionary-generateSKILL.md
STE Dictionary Generation Skill
This skill automates the creation and updating of an Extensible STE Project Dictionary (.ste-dictionary.yaml or ste-dictionary.json) by extracting domain terminology from project source files or documentation corpora.
It leverages the `information-architecture` skill suite to analyze text, isolate unique domain entities, and structure them into approved Technical Names (TN) and Technical Verbs (TV).
Inputs
TARGET_PATH: The directory or file path of the project codebase or documentation corpus to analyze (e.g.docs/orsrc/).OUTPUT_FILE: (Optional) Target dictionary file path (default:.ste-dictionary.yamlin repo root).REFERENCE_PATH: (Optional) Secondary document path to contrast against for vocabulary overlap analysis.
Workflow
Step 1: Vocabulary Extraction via information-architecture
- Execute the
vocabulary-overlap-analysisskill frominformation-architecture(/ia:vocab-overlap):
- Pass
TARGET_PATHto extract unigrams, bigrams, acronyms, and proper nouns. - Filter out standard English stopwords and baseline web jargon to isolate proprietary product names, software terms, and specialized domain processes.
- Execute
thesaurus-generate(/ia:thesaurus) ornamed-entity-normalization(/ia:entity-normalize):
- Group spelling variants, acronyms, and alternate phrasings under a single Preferred Term.
- Map non-preferred variants as Forbidden Synonyms.
Step 2: Categorize Terms into STE Schema
Classify all extracted preferred terms into ASD-STE100 categories:
- Technical Names (TN):
Assign POS noun and assign one of the allowed STE categories:
software: e.g.kernel,payload,repository,pod,microservice.hardware: e.g.chassis,resistor,sensor,router.UI: e.g.dialog box,checkbox,drop-down menu.tool: e.g.torque wrench,compiler,debugger.process: e.g.authentication,garbage collection,pull request.part/material: e.g.O-ring,sealant,gasket.
- Technical Verbs (TV):
Assign POS verb for explicit technical actions not covered by standard STE verbs:
- e.g.
compile,reboot,serialize,refactor,solder,calibrate. - Validation: Ensure no Technical Verb duplicates an existing core STE verb (e.g. use
turninstead ofrotate,useinstead ofutilize).
- Forbidden Project Terms:
Flag project jargon that should be banned in favor of standard STE words (e.g. spin up → start, tear down → delete).
Step 3: Write .ste-dictionary.yaml
Format the classified terms into a valid .ste-dictionary.yaml file conforming to the schema in `ste-writing-style/references/dictionary-schema.md`:
Quick Reference Summary
- Command:
/ste:dict-gen - Dependency:
information-architecture(vocabulary-overlap-analysis,thesaurus-generate) - Output:
.ste-dictionary.yamlready for use byste-writing-styleandste-audit.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/ste-dictionary-generate/SKILL.md
Popularity
- Repository stars
- 5
- 7-day trend score
- 9
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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