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QualityJavaScript

Ijfw Debug

by FerroxLabs

Ijfw Debug is a Quality skill for Claude Code, published by FerroxLabs in ijfw.

210 stars40 forkson FerroxLabs/ijfwAdded 2026/09/04Repository updated 2026/08/31
ai-agentsai-codingclaude-codecodexcursordeveloper-toolsgemini-cligithub-copilotmcpmcp-servermemorynodejstypescriptwindsurf
Install in seconds
Install Ijfw Debug
Copy Ijfw 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/FerroxLabs/ijfw/tree/main/claude/skills/ijfw-debug ~/.claude/skills/ijfw-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/FerroxLabs/ijfw.git

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

In this catalog

Source file
claude/skills/ijfw-debug/SKILL.md in FerroxLabs/ijfw
Installs to
~/.claude/skills/ijfw-debug
Collection
One of 25 skills cataloged from this repository
Category
Quality1557 skills

What Ijfw Debug does

Ijfw Debug guides root-cause analysis with reproducible steps, hypothesis tracking, and fix verification. Use it when something is broken or not working and you need to isolate the cause.

Ijfw Debug is cataloged under Quality on DirSkills. Ijfw Debug comes from a repository tagged ai-agents, ai-coding, claude-code, codex and cursor.

Documentation

README

Step 1 -- Reproduce

State the failure in one line: what was expected vs. what happened. Confirm reproducible before proceeding. If intermittent, note conditions.

Step 2 -- Check recent changes

Call ijfw_memory_recall with the symptom. Scan .ijfw/memory/ for decisions or changes from the past 7 days that touch the affected area.

If a recent change correlates with the regression, offer revert first:

Regression likely from <change> on <date>. Revert first? (y/n)

Step 3 -- Isolate

  • Narrow to the smallest reproducing case (file, function, line range).
  • Determine if failure is input-dependent, environment-dependent, or logic-dependent.
  • Read only the specific lines relevant to the hypothesis. No full-file reads.

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

Frequently asked about Ijfw Debug

  • What else does FerroxLabs publish alongside Ijfw Debug?

    Ijfw Debug is one of 25 skills that DirSkills catalogs from FerroxLabs/ijfw, the repository it ships in. Its siblings there include Auto Memorize, Critique and IJFW AGENTS.md Manager. Each one is a separate skill with its own page in this directory, installs the same way Ijfw Debug does, and is maintained by FerroxLabs in that same repository. The rest of the collection is listed on the FerroxLabs/ijfw page.

  • How does Ijfw Debug compare to other Quality skills?

    Ijfw Debug ranks #1434 by stars among the 1557 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 Ijfw Debug against them. Open each page to compare what they document and how they install.

More from FerroxLabs/ijfw

Ijfw Debug is one of 25 skills cataloged on DirSkills from FerroxLabs/ijfw.

See all 25 skills
🧠
2h ago

Auto Memorize

Auto Memorize extracts lessons, errors, fixes, and user preferences from a session at the end and stores them as structured local memory. It asks for consent on first run and stays local unless an API model is configured.
AI Engineering
21040
🧐
2h ago

Critique

Critique challenges decisions, surfaces assumptions, and offers concrete counter-arguments when someone asks for a second opinion or devil’s advocate. It also reframes non-trivial refactors toward the elegant solution before choosing a pragmatic fix.
AI Engineering
21040
🤖
2h ago

IJFW AGENTS.md Manager

IJFW AGENTS.md Manager maintains a project's canonical AGENTS.md file and its marker blocks. Use it when updating agent instructions or regenerating the file from IJFW-generated agent data.
AI Engineering
21040
✍️
2h ago

IJFW Commit

IJFW Commit writes terse Conventional Commit messages with the right type, scope, and subject length. Use it when you need a clean git commit message and an optional follow-up critique run.
Writing
21040
🗜️
2h ago

IJFW Compress

IJFW Compress reduces prose in memory or context files while preserving headings, code blocks, URLs, paths, commands, dates, versions, and technical terms. Use it when you need to cut tokens without changing code or meaning.
Automation
21040
🧮
2h ago

IJFW Compute

IJFW Compute runs sandboxed scripts for large or repetitive data tasks like log analysis, aggregation, deduping, and counting. It also supports indexing and searching findings so recurring questions can reuse prior results.
AI Engineering
21040