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QualityPython

Debug

by ldayton

Debug is a Quality skill for Claude Code, published by ldayton in Dippy.

243 stars21 forkson ldayton/DippyAdded 2026/09/02+1% in starsRepository updated 2026/06/12
View source on GitHubDownload repo ZIP
bashclaude-codeclihookpermissionspython
Install in seconds
Install Debug
Copy Debug into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/ldayton/Dippy/tree/main/.claude/skills/debug ~/.claude/skills/debug

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/ldayton/Dippy.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
.claude/skills/debug/SKILL.md in ldayton/Dippy
Installs to
~/.claude/skills/debug
Collection
One of 5 skills cataloged from this repository
Category
Quality — 1418 skills

What Debug does

Debug helps diagnose incorrect Dippy approval or block behavior from a reported command, expected result, and logs. It guides a minimal fix by reproducing the bug with a failing test first and then verifying it passes.

Debug is cataloged under Quality on DirSkills. Debug comes from a repository tagged bash, claude-code, cli, hook and permissions.

Documentation

README

Debug a Dippy issue based on user-provided context.

The user will provide:

  • The command that was incorrectly approved or blocked
  • Expected vs actual behavior
  • Any relevant error messages or logs

Process

  1. Understand the bug from the provided context
  2. Search the codebase to find the relevant handler or pattern
  3. Write a failing test FIRST in the appropriate test file
  4. Run just test and verify the test fails as expected
  5. Fix the bug in the handler or pattern
  6. Run just test until the test passes

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Debug

  • What else does ldayton publish alongside Debug?

    Debug is one of 5 skills that DirSkills catalogs from ldayton/Dippy, the repository it ships in. Its siblings there include Add Command, Check Coverage and Release. Each one is a separate skill with its own page in this directory, installs the same way Debug does, and is maintained by ldayton in that same repository. The rest of the collection is listed on the ldayton/Dippy page.

  • How does Debug compare to other Quality skills?

    Debug ranks #1320 by stars among the 1418 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Debug against them. Open each page to compare what they document and how they install.

More from ldayton/Dippy

Debug is one of 5 skills cataloged on DirSkills from ldayton/Dippy.

See all 5 skills →
⚙️
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Add Command

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Check Coverage

Check Coverage ensures a CLI handler and its tests cover all documented commands, flags, and edge cases. Use it when adding a new command or auditing existing handler coverage.
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🚀
1h ago

Release

Release creates a release PR with version bumps, dependency updates, and a changelog from commits since the last tag. Use it when preparing a new tagged release and GitHub release notes.
DevOps
24321
🔢
1h ago

Verify Counts

Verify Counts checks numerical claims in documentation against current values in code and tests. Use it when README or reference docs mention counts that may drift over time.
Quality
24321

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Debug is one of 1418 Quality skills cataloged on DirSkills, ranked #1320 by stars among them.

Browse all Quality skills →
⏱️
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Benchmark

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Benchmark Optimization Loop

Benchmark Optimization Loop turns vague performance goals into a bounded, measured optimization process. Use it when asked to make something faster, benchmark latency/throughput/cost, or choose the best implementation by repeated measured tests.
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API Design Patterns

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