run-cpython-tests
Run the CPython regression test suite in this repo via scripts/run_cpython_tests.sh with parallel execution, enforce a per-test timeout, capture output to cpython_full_test_run.log, and summarize failures from...
Browse published AI skills maintained by ahupp. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
7Repository stars across indexed skills
0Repository forks
0Average repository stars per indexed skill
0Repository stars may repeat across skills from the same repository.
Run the CPython regression test suite in this repo via scripts/run_cpython_tests.sh with parallel execution, enforce a per-test timeout, capture output to cpython_full_test_run.log, and summarize failures from...
Fix a specific failing test case in this repo by identifying the root cause, adding a minimal repro under tests/, explaining the cause, applying a targeted fix, re-running the test, and reporting any new failur...
Use when you need a detailed execution trace of a Python script using sys.monitoring, including logging every operation with include/exclude event controls.
Use when you need to inspect detailed execution flow of a Python program, stepping through functions and inspecting variable contents with pdb. Triggers include requests to debug Python scripts, trace execution...
Summarize CPython test failures from cpython_full_test_run.log (and cpython_full_test_run_summary.txt if present), compute passed/total counts for test files and test cases, and group failures by likely root ca...
Create and submit a GitHub pull request from a fork to the upstream source repo. Use when asked to open or submit a PR for the current branch or recent changes.
Commit staged or unstaged git changes with a clear, informative message (subject + body). Use when asked to commit work, finalize edits, or generate a commit message after changes are made.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.