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.
npx skills add https://github.com/rohitg00/pro-workflow --skill deslop
Check the diff against main and remove AI-generated slop introduced in the branch.
Use after completing changes, before committing, or when code feels over-engineered.
git fetch origin main
git diff origin/main...HEAD --stat
git diff origin/main...HEAD
git diff origin/main...HEAD to verify only slop was removed.npm test -- --changed --passWithNoTests 2>&1 | tail -10any used only to bypass type issues_vars, re-exports, // removed comments)When the target is a SKILL.md (not a code diff), lint it against the same
slop instinct applied to prose. Run this before promoting a skill. Flag:
longer matches what it does. Cut it.
linked reference. Push it down: in-skill step, then in-skill reference, then
an external file behind a pointer.
Keep one source of truth.
but never records the answer, cleans but never verifies).
can name in one word triggers and executes in fewer tokens.
See rules/skill-conventions.mdc.
adds, updates, or appends, or that duplicates its output on a second run.
Skill-file mode output: the flagged issues by line, the edits applied,
the cleanup summary, and whether the skill is ready to promote.
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
Execute git commit with conventional commit message analysis, intelligent staging, and message generation. Use when user asks to commit changes, create a git commit, or mentions "/commit". Supports: (1) Auto-detecting type and scope from changes, (2) Generating conventional commit messages from diff, (3) Interactive commit with optional type/scope/description overrides, (4) Intelligent file staging for logical grouping
Comprehensive GitHub code review with AI-powered swarm coordination
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
Use this skill to review code. It supports both local changes (staged or working tree) and remote Pull Requests (by ID or URL). It focuses on correctness, maintainability, and adherence to project standards.
Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.
Create high-quality git commits: review/stage intended changes, split into logical commits, and write clear commit messages (including Conventional Commits). Use when the user asks to commit, craft a commit message, stage changes, or split work into multiple commits.
Take rohitg00/deslop from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.