deslop
Remove AI-generated code slop, unnecessary comments, and over-engineering from the current branch diff. Cleans up boilerplate, simplifies abstractions, strips defensive code, and in skill-file mode lints SKILL.md files for quality. Use when cleaning up code, simplifying, removing boilerplate, before committing, or when reviewing a skill before promoting it.
Before you install
- Last update
- Files in folder
- 1
- Scripts
- No script files found
- SKILL.md size
- 3.5 KB (about 899 tokens of context each time it loads)
- License
- No license file
- Source on GitHub
- rohitg00/pro-workflow
Skills are plain text instructions the agent follows, sometimes with scripts. Check the source, prefer repositories with many installs and stars, and read any script it ships.
Install
npx skills add rohitg00/pro-workflow@deslopRuns in a terminal with Node.js 18 or newer. Add -y to skip the prompts and -g to install for every project instead of this one.
Install for your agent
npx skills add rohitg00/pro-workflow@deslop --agent claude-code -y- Project install writes to
.claude/skills/deslop- Global install writes to
~/.claude/skills/deslop
Start a new session afterwards so the agent picks the skill up. In Claude Code you can also call it directly with /deslop.
What it does
Remove AI Code Slop Check the diff against main and remove AI-generated slop introduced in the branch. Trigger Use after completing changes, before committing, or when code feels over-engineered. Commands Workflow 1. Run diff commands to see all changes on the branch. 2. Identify slop patterns from the focus areas below. 3. Apply minimal, focused edits to remove slop. 4. Re-run git diff origin/main...HEAD to verify only slop was removed. 5. Run tests or type-check to confirm behaviour unchanged: npm test -- --changed --passWithNoTests 2&1 tail -10 6. Summarise what was cleaned. Focus Areas -…
Excerpt from the skill's own SKILL.md. Read the full file on GitHub before installing: skills run with your agent's permissions.
Categories
Related skills
- token-efficiency
rohitg00/pro-workflow
Reduce token waste by 40-60% through anti-sycophancy rules, tool-call budgets, one-pass coding, task profiles, and read-before-write enforcement. Inspired by drona23/claude-token-efficient.
- pro-workflow
rohitg00/pro-workflow
Complete AI coding workflow system. Orchestration patterns, 18 hook events, 8 agents, cross-agent support, reference guides, and searchable learnings. Works with Claude Code, Cursor, and 32+ agents.
- wrap-up
rohitg00/pro-workflow
End-of-session ritual that audits changes, runs quality checks, captures learnings, and produces a session summary. Use when saying "wrap up", "done for the day", "finish coding", or ending a coding session.
- learn-rule
rohitg00/pro-workflow
Capture a correction or lesson as a persistent learning rule with category, mistake, and correction. Stores, categorises, and retrieves rules for future sessions. Use after mistakes or when the user says "remember this", "don't forget", "note this", or "learn from this".
- session-handoff
rohitg00/pro-workflow
Generate a structured handoff document capturing current progress, open tasks, key decisions, and context needed to resume work. Use when ending a session, saying "continue later", "save progress", "session summary", or "pick up where I left off".
- context-optimizer
rohitg00/pro-workflow
Optimize token usage and context management. Use when sessions feel slow, context is degraded, or you're running out of budget.