debugging
Skill8 starsChanged 3 months agoMITView on GitHub
Find the root cause of a bug instead of guessing at it. Use when the user reports something broken, pastes an error or a stack trace, says this used to work, asks why is this happening, why is this failing, or what is wrong with this. Also use to trace how data flows through a codebase, follow a request end to end, or find where a value is being lost or changed. Also fires on: stack trace, traceback, exception, crash, crashed, segfault, null pointer, undefined, regression, reproduce, bisect, root cause, it broke, debug this.
116 other projects use a version of this.
Adopted by
Most recently taken up by
- thistleknot/skillstheir own version, first seen Nov 8, 2026
- DevNewbie1826/skillstheir own version, first seen Nov 8, 2026
- MasihMoafi/skillstheir own version, first seen Nov 8, 2026
- ishandutta2007/Awesome-Claude-Skillstheir own version, first seen Nov 8, 2026
- idavidov13/agentic-playwrighttheir own version, first seen Nov 8, 2026
- profdorly/ultimate-dev-skillstheir own version, first seen Nov 8, 2026
Used with
Projects with it also use Problem-Solving Techniques, media-processing and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
truongtv22SkillProblem-Solving Techniques
Apply systematic problem-solving techniques for complexity spirals (simplification cascades), innovation blocks (collision-zone thinking), recurring patterns (meta-pattern recognition), assumption constraints (inversion exercise), scale uncertainty (scale game), and dispatch when stuck. Techniques derived from Microsoft Amplifier project patterns adapted for immediate application.
Also in 4 projects that use this
mrgoonieSkillmedia-processing
Process multimedia files with FFmpeg (video/audio encoding, conversion, streaming, filtering, hardware acceleration) and ImageMagick (image manipulation, format conversion, batch processing, effects, composition). Use when converting media formats, encoding videos with specific codecs (H.264, H.265, VP9), resizing/cropping images, extracting audio from video, applying filters and effects, optimizing file sizes, creating streaming manifests (HLS/DASH), generating thumbnails, batch processing images, creating composite images, or implementing media processing pipelines. Supports 100+ formats, hardware acceleration (NVENC, QSV), and complex filtergraphs.
Also in 6 projects that use this
JetBrainsSkillssr
Guide for using Structural Search and Replace in IntelliJ. Use when creating or modifying SSR inspections or search patterns.
Also in 3 projects that use this
mrgoonieSkillweb-frameworks
Build modern full-stack web applications with Next.js (App Router, Server Components, RSC, PPR, SSR, SSG, ISR), Turborepo (monorepo management, task pipelines, remote caching, parallel execution), and RemixIcon (3100+ SVG icons in outlined/filled styles). Use when creating React applications, implementing server-side rendering, setting up monorepos with multiple packages, optimizing build performance and caching strategies, adding icon libraries, managing shared dependencies, or working with TypeScript full-stack projects.
Also in 6 projects that use this
DevNewbie1826Skillremove-ai-slops
Remove AI-generated code slop from branch changes or an explicit file list while preserving behavior, including junk tests (prose pins, source greps, copied inventories, mock echoes), each proven by its class rule before a cut. Use when asked to remove slop, clean AI code, deslop, clean up generated code, strip slop, prune junk tests, or review generated-code cleanup. Start by locking behavior with regression tests, then use the category and workflow references.
Also in 3 projects that use this
DevNewbie1826Skillprogramming
MUST USE for work on Python, Rust, TypeScript, JavaScript, or Go source files and project manifests, and whenever a test or spec file is written, reshaped, reviewed, or deleted. Triggers: write or edit code; add, change, or delete a test; test authoring gate; junk tests; new project; Go HTTP service (gin lane); Bubble Tea TUI; CJK IME; Connect-Go RPC; sqlc or pgx; branded IDs; exhaustive matching; unsafe Rust; Miri; oversized file; refactoring; logging, log levels, structured logging, or observability; arena, allocator, bumpalo, const fn, const generics, compile-time programming, zero-allocation APIs, bitfields, repr, scope guards, errdefer-style cleanup, Zig-like patterns, zero-copy parsing, packed data, or FFI; Rust public API design or macros.
Also in 3 projects that use this
- +6 more from mrgoonie
Other versions116 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 116
- tursodatabase/turso★ 25ksame name
- JetBrains/intellij-community★ 21ksame name
- DetachHead/rebased★ 6.5ksame name
- mrgoonie/claudekit-skills★ 2.2ksame name
- JetBrains/MPS★ 1.7ksame name
- danieleteti/delphimvcframework★ 1.4ksame name
- glommer/pgmicro★ 1.2ksame name
- karrioapi/karrio★ 799same name
- rapidaai/voice-ai★ 755same name
- i-am-manware/Manware-s-AI-Learning-Toolkit★ 717same name
106 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository46 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- hud/CLAUDE.mdCLAUDE.md
- agent-setupSkill
- asaSkill
- audio-briefSkill
- call-coachSkill
- clone-siteSkill
- courseworkSkill
- creative-videoSkill
- deep-researchSkill
- demoSkill
- graph-engineeringSkill
- gtm-engineeringSkill
- hudSkill
- interfaceSkill
- jev-browseSkill
- kit-builderSkill
- life-contextSkill
- life-opsSkill
- list-auditSkill
- mac-actSkill
- mac-appsSkill
- mac-briefSkill
- mac-controlSkill
- mac-debugSkill
- mac-followupsSkill
- mac-permissionsSkill
- mac-runtimeSkill
- mac-seeSkill
- peopleSkill
- prospect-briefSkill
- repo-healthSkill
- reviewing-changesSkill
- second-brainSkill
- setupSkill
- shippingSkill
- site-specSkill
- skill-forgeSkill
- skill-trainingSkill
- stack-rulesSkill
- study-guideSkill
- study-systemSkill
- textsSkill
- what-can-this-doSkill
- your-dataSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 4 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 104 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 14
1. Read the error exactly: Every word. undefined and null are different bugs with different causes.
- Distinctive: line 28
5. Check for a breaking change: Read the migration guide for the version actually installed, not the version remembered.
- Distinctive: line 35
7.
git bisect: if still lost, then read that commit properly. - Distinctive: line 37
Never change several things at once, and never delete and rewrite before understanding why it broke.
- Distinctive: line 59
Write the test that would have caught it, and check the same mistake is not sitting in three other places.
“Common” is measured: kept by at least 6 in 10 of the 104 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Debugging
The protocol exists because the failure mode is universal: changing several things at once, then not knowing which one helped.
The order, and do not skip
1. Read the error exactly. Every word. undefined and null are different
bugs with different causes. "Cannot read property x of undefined" names the
property and that is usually the whole answer.
2. Go to the file and line in the trace before doing anything else. Not a grep for something similar. The actual frame. If there is no stack trace, get one before theorizing; a bug report without one is a rumor.
3. Check the assumption. Print the variable. Is it the shape you believed? Most bugs are a value being a different type, a different case, or absent, and are invisible to reasoning about the code because the code reads correctly.
4. Search the exact message. Framework, exact string, year. Someone has hit it.
5. Check for a breaking change. Read the migration guide for the version actually installed, not the version remembered.
6. git diff against the last working state. The bug lives in the diff. This
step alone solves most "it used to work" reports and it is the one most often
skipped.
7. git bisect if still lost, then read that commit properly.
Never change several things at once, and never delete and rewrite before understanding why it broke. A rewrite that works for reasons nobody understands is the same bug with a longer fuse.
Tracing a flow
To follow data end to end: name the entry point, then read each function in the chain in full rather than skimming for the interesting line.
Mark three things as you go, because they are where flows actually break:
- Where the data changes shape: parsed, validated, serialized, renamed
- Where it could be lost: a swallowed error, an early return, a default that silently replaces a missing value
- Where ownership changes: one module handing to another, a queue, a network hop, a process boundary
Report it as the chain, file by file, with the shape at each step. A trace that lists files without saying what the data looks like at each one has not traced anything.
When it is fixed
Write the test that would have caught it, and check the same mistake is not sitting in three other places. A fix applied to only the instance that was reported is a promise to debug it again.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

