Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
日本語の概要は準備中です。原文の説明を表示しています。
Two-agent cleanup pattern. Implementer works freely, then a dedicated cleanup agent removes unused imports, console.logs, commented-out code, dead code, and formatting issues. Produces a diff of what was cleaned.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
De-Sloppify implements a two-agent pattern for code cleanup:
This separation prevents "cleanup anxiety" from slowing down implementation while still producing clean final code.
Skill({ skill: 'de-sloppify' });
Invoke when:
CLEANUP AGENT MUST NOT CHANGE BEHAVIOR.
Every removal must be verifiable as dead code, unused import,
or formatting-only. If there is any doubt — LEAVE IT.
| Category | Examples | Safe to Remove |
|---|---|---|
| Unused imports | import foo from 'foo' — never referenced | YES |
| console.log / debug | console.log('debug here'), console.error | YES |
| Commented-out code | // const old = foo() (code, not docs) | YES |
| Dead code | Unreachable branches, unused variables | YES |
| Trailing whitespace | Spaces at end of lines | YES |
| Extra blank lines | 3+ consecutive blank lines | YES |
| TODO with no context | // TODO (no ticket, no description) | On flag only |
| Category | Why |
|---|---|
| Commented doc blocks | /** ... */ JSDoc, /* ... */ section notes |
console.error in catch | May be intentional error logging |
| Disabled test blocks | // it.skip(...) — intentional |
| Feature-flag dead code | May be awaiting activation |
| Complex logic | Even if it looks unused — leave it |
The implementer completes the feature without cleanup overhead. This is normal development.
After implementation, invoke de-sloppify. The cleanup agent runs these checks in order:
Command:
git diff HEAD -- {{target_files}} > C:/dev/projects/agent-studio/.claude/context/tmp/pre-cleanup-snapshot.diff
Expected output: A diff file capturing current state.
Verify: File exists at .claude/context/tmp/pre-cleanup-snapshot.diff.
Command (JavaScript/TypeScript):
node C:/dev/projects/agent-studio/.claude/skills/de-sloppify/scripts/main.cjs \
--action find-unused-imports \
--files "{{comma_separated_file_paths}}"
Expected output: JSON array of { file, line, import } objects for unused imports.
Verify: Exit code 0 and valid JSON array.
Command:
node C:/dev/projects/agent-studio/.claude/skills/de-sloppify/scripts/main.cjs \
--action find-console-logs \
--files "{{comma_separated_file_paths}}"
Expected output: JSON array of { file, line, statement } objects.
Verify: Exit code 0 and valid JSON array.
Command:
node C:/dev/projects/agent-studio/.claude/skills/de-sloppify/scripts/main.cjs \
--action find-commented-code \
--files "{{comma_separated_file_paths}}"
Expected output: JSON array of candidate commented-out code blocks.
Verify: Exit code 0 and valid JSON array.
For each finding that is safe to remove, use Edit to remove the line(s). Apply changes conservatively — when in doubt, leave it.
Command:
cd C:/dev/projects/agent-studio && pnpm lint:fix && pnpm format
Expected output: 0 errors, 0 warnings from lint; no changes from format.
Verify: Both commands exit 0 with no output indicating issues.
Command:
git diff -- {{target_files}}
Expected output: A diff showing only removals (lines starting with -). No additions should appear unless they are indentation fixes.
Verify: Review the diff — confirm every removed line was dead code or formatting. If any functional line was removed, revert with git checkout -- <file>.
Produce a cleanup summary:
De-Sloppify Report
==================
Files processed: N
Unused imports removed: N
Console.logs removed: N
Commented-out code blocks removed: N
Dead code blocks removed: N
Formatting fixes applied: N
Diff: git diff HEAD -- <files>
console.error inside a catch block without confirming it is debug-onlyInput validated against schemas/input.schema.json before execution.
Output contract defined in schemas/output.schema.json.
Pre-execution hook (hooks/pre-execute.cjs) validates:
action is a known enum valuefiles is a non-empty array of pathsPost-execution hook (hooks/post-execute.cjs) emits observability event to .claude/context/runtime/tool-events.jsonl.
developer — runs cleanup after implementationcode-simplifier — incorporates de-sloppify as a cleanup stepcode-reviewer — recommends de-sloppify when reviewing slop-heavy PRsqa — verifies cleanup did not alter behaviorBefore starting: Read .claude/context/memory/learnings.md for cleanup patterns specific to this codebase.
After completing: Append summary to .claude/context/memory/learnings.md:
**de-sloppify** — [date] Cleaned N files. Removed: M unused imports, K console.logs, J commented blocks.
ASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.
code-simplifier — structural refactoring (de-sloppify is style-only)finishing-a-development-branch — includes de-sloppify as a phasecodebase-cleaner — broader cleanup including file-level slopまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
日本語の概要は準備中です。原文の説明を表示しています。
Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
日本語の概要は準備中です。原文の説明を表示しています。
N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.
日本語の概要は準備中です。原文の説明を表示しています。
Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
日本語の概要は準備中です。原文の説明を表示しています。
Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.
日本語の概要は準備中です。原文の説明を表示しています。
LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations
日本語の概要は準備中です。原文の説明を表示しています。