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SkillsMP は adam-s/prairielearn-debug から 7 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 7 件中 7 件を表示しています。
Find a real upstream PrairieLearn bug with no open PR, reproduce + fix it in the harness, and publish it as an issue + pull request ON THE USER'S OWN FORK (never upstream) — packaged as a human-readable proposal a maintainer could copy over. Wraps debug-issue…
原文の言語: 英語
Drive one PrairieLearn GitHub issue or PR end-to-end through the harness — PRE-FLIGHT → GATHER → SCAN → CLASSIFY → BUILD. Spawns an isolated worktree + Docker journey, reproduces the bug with Playwright, injects the trace spine closest to the suspect code,…
原文の言語: 英語
Drive a PrairieLearn Playwright journey — persona switching (student/instructor/admin), render-gating (never screenshot a blank/500 and call it fine), numbered before/after screenshots, socket-safe waits, and cold-vs-warm diffing. Spins the journey's…
原文の言語: 英語
Isolate one file/function/module and exercise it in isolation with full observability — instrument its inputs, intermediate values, and return with timestamped trace logs (Python or TS/JS), drive it with crafted cases, and assert expected results. The fastest…
原文の言語: 英語
Add precise timestamped debug logging across PrairieLearn using the concentric/adaptive model — start at the code CLOSEST to the issue (ring 0), read the merged cross-process timeline, widen the field only if the narrow ring didn't reveal it. Covers the…
原文の言語: 英語
Run one eval-driven instruction-tuning iteration on the harness itself. A blind sub-agent solves a CLOSED PrairieLearn issue (no access to the merged fix or this conversation), a blind judge compares its answer to the accepted PR, and you diagnose where the…
原文の言語: 英語
Adversarial bug-hunting review of a PrairieLearn diff, PR, or worktree change — hunts REAL bugs (not style) in the seams where PL breaks: the TS⇄Python code-caller boundary, zygote serialization, SQL/Drizzle edge cases, assessment/grading state, socket event…
原文の言語: 英語