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Trace and Isolate · rohitg00 | DecimalAI

codingby rohitg00

Trace and Isolate

rohitg00/trace-and-isolate

Source rohitg00/skillkit ↗License Apache-2.0

Applies systematic tracing and isolation techniques to pinpoint exactly where a bug originates in code.

SkillScore82Maintained

Automatic

Coding pack

Last verified 8/13/2026

What it changes

Passed 17 of 21 test cases with the skill, and 14 of 21 without it.

Without skill68%

With skill82%

Checks it passed that the model alone missed

Stops isolating once exact file and line number are identified
Formats logs using [TRACE] location: description = value format
Overrides Date.now to log and control generated timestamp values

and 1 more in the full report

4 fixed14 passed either way3 still failing1 broke

Pass-rate lift: +14 pp
Tokens: +40%
Agent turns: 0%
Response time: -28%

Model gemini-3.6-flashMeasured 8/13/2026v118 of 22 cases passed with skill · 21 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/rohitg00-trace-and-isolate/SKILL.md https://app.decimal.ai/s/rohitg00-trace-and-isolate/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add rohitg00-trace-and-isolate, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/rohitg00-trace-and-isolate/ and pins it in .decimal/skills.lock

decimalai skills add rohitg00-trace-and-isolate

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/rohitg00-trace-and-isolate/SKILL.md https://app.decimal.ai/s/rohitg00-trace-and-isolate/SKILL.md

Raw file: /s/rohitg00-trace-and-isolate/SKILL.md ↗ · machine-readable summary at /s/rohitg00-trace-and-isolate.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 4

Prompt

A bug reported by a client cannot be reproduced on a developer's machine. Before assuming the code is fine, what environmental factors should be isolated and verified systematically?

What was checked, without and with the skill
Checked	Without skill	With skill
Checks behavior across different browser or execution environments	Passed	Passed
Checks behavior after clearing cache or testing with clean configuration	Missed	Passed

case-09 · gemini-3.6-flash · 8/13/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md267 linessingle file

Trace and Isolate

You are using systematic tracing and isolation techniques to narrow down where a bug originates. The goal is to find the exact location in code where behavior diverges from expectation.

Quick Reference

Scenario	Technique
Large codebase / complex flow	Binary search debugging
Bug appeared between commits	`git bisect`
Unclear data transformation	Strategic `[TRACE]` logging
Which component is faulty?	Component isolation + mocks
Bug hard to reproduce	Minimal reproduction case
Conditional or intermittent bug	Conditional breakpoints / watch expressions

Binary Search Debugging

When you have a large codebase or complex flow:

Identify the start - Last known good state
Identify the end - First observed bad state
Test the middle - Check if behavior is good or bad
Repeat - Binary search on the half with the bug

Code Path Binary Search

Start: User clicks submit button
End: Error shown to user

Midpoint 1: Form validation
→ Data looks correct here? Continue to later code
→ Data already wrong? Focus on earlier code

Midpoint 2: API request construction
→ Request payload correct? Focus on server side
→ Payload already malformed? Focus on form handling

...Continue until exact line is found

Track record

Benchmark

17 / 21

test cases passed, vs 14 / 21 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

rohitg00 / skillkit

packages/core/src/methodology/packs/debugging/trace-and-isolate/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v1

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

jayrha/debug-detectiveSystematically root-causes software bugs using a reproduce → isolate → hypothesize → bisect → verify methodology, replacing guess-and-check debugging with a disciplined, evidence-driven investigation. Use this skill when a user reports a bug, a test is failing intermittently or consistently, behavior differs between environments, a regression appeared after a change, something "used to work" and now doesn't, an error/stack trace needs root-causing, or when asked to "debug", "find the root cause"Close match+9 pp pass-rate lift

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Trace and Isolate

Quick Reference

Binary Search Debugging

Code Path Binary Search

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

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