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Davidvandijcke
GitHub creator profile

Davidvandijcke

Repository-level view of 3 collected skills across 1 GitHub repositories, including approximate occupation coverage.

skills collected
3
repositories
1
occupation fields
1
updated
2026-06-02
occupation focus
Major fields detected across this creator.
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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

#001
coarse
3 skills15837updated 2026-06-02
100% of creator
coarse-review
Software Developers

Produce a rigorous academic peer review of a research paper, manuscript, or preprint (PDF, markdown, TeX, DOCX, HTML, or EPUB) using the full coarse pipeline with the user's local Claude Code subscription doing all the LLM reasoning. Every pipeline stage — structure analysis, overview synthesis, per-section review, proof verification, editorial pass — is served by a headless `claude -p` subprocess instead of a paid API. Use when the user asks to review, critique, referee, or provide feedback on an academic paper. Takes 10-25 minutes. Do NOT use for code review, blog posts, or non-academic documents.

2026-06-02
coarse-review
Software Developers

Produce a rigorous academic peer review of a research paper, manuscript, or preprint (PDF, markdown, TeX, DOCX, HTML, or EPUB) using the full coarse pipeline with the user's local Codex CLI (ChatGPT subscription) doing all the LLM reasoning. Every pipeline stage — structure analysis, overview synthesis, per-section review, proof verification, editorial pass — is served by a headless `codex exec` subprocess instead of a paid API. Use when the user asks to review, critique, referee, or provide feedback on an academic paper. Takes 10-25 minutes.

2026-06-02
coarse-review
Software Developers

Produce a rigorous academic peer review of a research paper, manuscript, or preprint (PDF, markdown, TeX, DOCX, HTML, or EPUB) using the full coarse pipeline with the user's local Gemini CLI (Google AI subscription) doing all the LLM reasoning. Every pipeline stage — structure analysis, overview synthesis, per-section review, proof verification, editorial pass — is served by a headless `gemini -p` subprocess instead of a paid API. Use when the user asks to review, critique, referee, or provide feedback on an academic paper. Takes 10-25 minutes.

2026-06-02
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