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Code Cleanup · giuseppe-trisciuoglio | DecimalAI

codingby giuseppe-trisciuoglio

Code Cleanup

giuseppe-trisciuoglio/specs-code-cleanup

Source giuseppe-trisciuoglio/developer-kit ↗License MIT

Provides final code cleanup after task review approval. Removes debug logs, temporary comments, dead code, optimizes imports, and improves readability.

SkillScore77Maintained

Automatic

Coding pack

Last verified 8/21/2026

What it changes

Passed 14 of 18 test cases with the skill, and 5 of 18 without it.

Without skill27%

With skill77%

Checks it passed that the model alone missed

Retains the unresolved comment.
Sets cleanup_date in task file.
Verifies class and file headers.

and 15 more in the full report

12 fixed5 passed either way4 still failing1 broke

Pass-rate lift: +50 pp
Tokens: +28%
Agent turns: 0%
Response time: -62%

Model gemini-3.6-flashMeasured 8/21/2026v117 of 22 cases passed with skill · 18 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/giuseppe-trisciuoglio-specs-code-cleanup/SKILL.md https://app.decimal.ai/s/giuseppe-trisciuoglio-specs-code-cleanup/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add giuseppe-trisciuoglio-specs-code-cleanup, 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/giuseppe-trisciuoglio-specs-code-cleanup/ and pins it in .decimal/skills.lock

decimalai skills add giuseppe-trisciuoglio-specs-code-cleanup

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

curl -fsSL --create-dirs -o .claude/skills/giuseppe-trisciuoglio-specs-code-cleanup/SKILL.md https://app.decimal.ai/s/giuseppe-trisciuoglio-specs-code-cleanup/SKILL.md

Raw file: /s/giuseppe-trisciuoglio-specs-code-cleanup/SKILL.md ↗ · machine-readable summary at /s/giuseppe-trisciuoglio-specs-code-cleanup.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 11

Prompt

If a developer wants to trigger post-review cleanup manually via implementation arguments without running code generation, which action flag is supplied?

What was checked, without and with the skill
Checked	Without skill	With skill
Specifies argument option --action=cleanup.	Missed	Passed

case-17 · gemini-3.6-flash · 8/21/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md145 lines2 files

Code Cleanup

Overview

Performs post-review cosmetic cleanup to make code production-ready. This workflow is now integrated as Phase T-7 of /developer-kit-specs:specs.task-implementation. It can also be invoked manually using --action=cleanup.

Input: docs/specs/[id]/tasks/TASK-XXX.md (reviewed status)
Output: Cleaned code, task marked completed

When to Use

Use when asked to clean up code, polish, finalize, tidy up, or remove technical debt after review approval.
Use to prepare code for completion: remove debug logs, dead code, optimize imports, and improve readability.
Use as the final quality gate in the specification-driven development workflow.
Not for refactoring logic or fixing bugs — focused solely on cosmetic and hygiene cleanup.

Arguments

Argument	Required	Description
`--lang`	No	`java`, `spring`, `typescript`, `nestjs`, `react`, `python`, `general`
`--task`	Yes	Path to task file
`--action`	No	Set to `cleanup` for manual invocation

Best Practices

Clean, not change: Only remove or reorganize — never change functionality
Preserve behavior: Code must work exactly the same after cleanup
Use project tools: Prefer ./mvnw spotless:apply, npm run lint:fix, black, etc.
Use TodoWrite: Track progress through all 8 phases
Stop on failure: If tests fail, stop and report — do not proceed

See references/language-patterns.md for language-specific formatter commands, import ordering, and grep patterns.

Instructions

Phase 1: Task Verification

Parse $ARGUMENTS for parameters:
- --lang (optional): Target language/framework

Track record

Benchmark

14 / 18

test cases passed, vs 5 / 18 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

giuseppe-trisciuoglio / developer-kit

plugins/developer-kit-specs/skills/specs-code-cleanup/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1Bundled 1 file

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

Code Cleanup

Overview

When to Use

Arguments

Best Practices

Instructions

Phase 1: Task Verification

Track record

Benchmark

Adoption

SkillSafety

Source

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