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glyphtrail
GitHub creator profile

glyphtrail

Repository-level view of 3 collected skills across 1 GitHub repositories.

skills collected
3
repositories
1
updated
2026-06-18
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Where the skills live

Top repositories by collected skill count, with their share of this creator catalog and occupation spread.

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Repositories and representative skills

glyphtrail
software-developers

Query this repo's code graph instead of ls/grep/reading files blindly. Use whenever you are understanding the codebase or its architecture, tracing how something works, or searching for a symbol or term; before changing a symbol, to get its blast radius (dependent symbols, tests to run, API surface, and other indexed repos affected); and when wiring two repos together across an API boundary (resolving unmatched client calls against a producer's OpenAPI/proto/GraphQL spec into precise link hints). Reach for this over grep even when the task does not name glyphtrail: code understanding, "where is X", "what calls X", "what breaks if I change X", and cross-repo/API questions all belong here.

2026-06-18
glyphtrail
software-developers

Query this repo's code graph instead of ls/grep/reading files blindly. Use whenever you are understanding the codebase or its architecture, tracing how something works, or searching for a symbol or term; before changing a symbol, to get its blast radius (dependent symbols, tests to run, API surface, and other indexed repos affected); and when wiring two repos together across an API boundary (resolving unmatched client calls against a producer's OpenAPI/proto/GraphQL spec into precise link hints). Reach for this over grep even when the task does not name glyphtrail: code understanding, "where is X", "what calls X", "what breaks if I change X", and cross-repo/API questions all belong here.

2026-06-18
glyphtrail-atlas
software-developers

Use when working with the glyphtrail atlas: the personal, cross-repo commit history graph and its embeddings (semantic repo/commit similarity). Covers syncing, embedding (local or OpenAI), similarity search, and - importantly - how the (paid) embeddings are persisted, survive upgrades, and are backed up to Parquet for recovery or external analysis.

2026-06-12
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