mini-program-debugging-skill

mini-program-debugging-skill is a Fiction & storytelling skill for AI agents, published by NocodeMrLi in the mini-program-engineering-skill-suite repository on GitHub. Skillspace rates mini-program-debugging-skill D (63/100) and it passed the safety scan; the rating is based on static analysis only.

Diagnose and fix mini-program failures through reproducible, evidence-driven root-cause analysis across source, state, asynchronous timing, caches, mock data, build versions, platform behavior, devices, cloud calls, and external services. Use when users report white screens, crashes, stale or jumping values, missing data, intermittent behavior, permission failures, performance stalls, device-only defects, API or cloud-function errors, source-versus-build mismatches, or regressions whose cause is not yet established. Freezes the observation environment, ranks competing hypotheses, runs discriminating checks, creates a failing regression test before repair, covers analogous states, and never hides a known failure with longer waits, swallowed errors, forced success, or cosmetic patches.

Grade

D

Quality

63 / 100

Safety

Passed

GitHub stars

58

Unproven: rated by static analysis only, not yet compared head-to-head.

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