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SD & SEM Learning Tutor · 12 files · 643 KB · Oct 4, 2026 · 12:35 UTC
| File | Size |
|---|---|
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.codex-plugin/assets/logo.pngSHA-256d89b2005a71197dce04af0c6355125542addc4298e24cd5935fd8255239e9546 | 27.3 KB |
.codex-plugin/plugin.jsonSHA-2563567e1a5f8724bcb55b7dc4e6573833d8d584e86369527ab368cccaf63596269 | 1.42 KB |
assets/icon.svgSHA-256ecd3f48a2f591e48d1b9f3fb2668b2ac6a0a3d684bc3f368b27d0d923a26d2d7 | 696 Bytes |
plugin.jsonSHA-2568084563124c4a17402a5f8fecdf46c2fd5eb4244e879cb767d42be8ab83be99d | 1.59 KB |
skills/sd-and-sem-learning-tutor/Evaluating study results central tendency and variability and confidence intervals - The Pharmaceutical Journal.pdfSHA-25603cf4d52237b299caf837286c2977eaea6e9ad10b9a879fcd0b20fe20b12be78 | 638 KB |
skills/sd-and-sem-learning-tutor/SEM simpler explanation.docxSHA-256c07cdf84533a92da474a21a8075dd7df55d1e5f8e116e46f2533102e748d1ea1 | 142 KB |
skills/sd-and-sem-learning-tutor/SKILL.mdSHA-256fe58feb28ba97123fd1f1f3df19a3bff374569e5cbac5bc779e0bf193f39c1dc | 10.8 KB |
skills/sd-and-sem-learning-tutor/agents/openai.yamlSHA-256ff893e0c4a6f4db82619bd22eafdfc4e414ab9e9b3290d863c6a35450d8a563e | 341 Bytes |
skills/sd-and-sem-learning-tutor/assets/icon.svgSHA-256ecd3f48a2f591e48d1b9f3fb2668b2ac6a0a3d684bc3f368b27d0d923a26d2d7 | 696 Bytes |
Files are archived as data; their code has not been executed. The package does not include private remote service code.