deep-clean
Remove accidental complexity after a working implementation without changing behavior.
Skill by itsAR-VR
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/itsar-vr-deep-clean
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/deep-clean
What's inside
- Skill name
deep-clean- Description
- Remove accidental complexity after a working implementation without changing behavior. Use after deep-build when the diff needs a focused simplification pass.
- License
- MIT
- Instructions
- 16 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Deep Clean Start from working, tested code. Preserve behavior. Remove only complexity introduced or exposed by the current change: - unused imports, variables, branches, and helpers - duplicate logic that has a clear existing home - speculative abstractions and configuration - comments that repeat the code - needless dependencies or wrappers - temporary debugging and proof scaffolding Do not reformat unrelated files, rename unrelated symbols, modernize neighboring code, or turn cleanup into a refactor. Run the same verification before and after. If cleanup makes the diff harder to review, revert the cleanup.
From itsAR-VR/public-skills, MIT.
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Red-team a plan before implementation by checking assumptions, scope, failure modes, security, dependencies, and proof.
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Web search and content extraction via Brave Search.
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deep-build
itsAR-VR
Execute an approved implementation plan in small verified slices.
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goal-post
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Signals
- Stars
- 0
- Forks
- 1
- Open issues
- 1
- Last commit (this folder)
- Jul 14, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/itsAR-VR/public-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.474score
adcrate-cold-audience
itsAR-VR
Use when writing, rewriting, reviewing, or generating any copy or content for a cold or low-context audience that does not already know, trust, or actively…
SkillCFreshness: CClaude Code +9 - 0.471score
dev-workflow
itsAR-VR
End-to-end development workflow for repositories that use phase planning, red-team review, implementation, pull requests, independent review, and deployment…
SkillCFreshness: CClaude Code +9 - 0.467score
deep-build
itsAR-VR
Execute an approved implementation plan in small verified slices.
SkillCFreshness: CClaude Code +9 - 0.467score
brave-search
itsAR-VR
Web search and content extraction via Brave Search.
SkillCFreshness: CClaude Code +9 - 0.467score
deep-sweep
itsAR-VR
Red-team a plan before implementation by checking assumptions, scope, failure modes, security, dependencies, and proof.
SkillCFreshness: CClaude Code +9 - 0.467score
goal-post
itsAR-VR
Turn an outcome into a machine-checkable goal contract with actor, verifier, stop conditions, evidence, and human gates.
SkillCFreshness: CClaude Code +9
Done for you
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
deep-clean skill. Agent Mart. https://agentmart.dev/skills/itsar-vr-deep-clean (last updated 2026-10-24)