Deslop
rohitg00/pro-workflowRemove AI-generated code slop, unnecessary comments, and over-engineering from the current branch diff. Cleans up boilerplate, simplifies abstractions, and strips defensive code. Use when cleaning up code, simplifying, removing boilerplate, or before committing.
At a glance
/plugin marketplace add rohitg00/pro-workflow
/plugin install deslop
Setup, runtime and requirements describe rohitg00/pro-workflow, the repo this skill ships in.
Also in rohitg00/pro-workflow
View the repoCoordinate multiple Claude Code sessions as a team — lead + teammates with shared task lists, mailbox messaging, and file-lock claiming. Pat...
Auto-configure quality gates, hooks, and settings for a new project. Detects project type and sets up appropriate tooling. Use when onboardi...
Decompose large-scale changes into independent units and spawn parallel agents in isolated worktrees. Use for migrations, refactors, codemod...
Capture a user-reported defect as a durable GitHub issue written in the project's own domain language. Explores the codebase in parallel for...
Smart context compaction with state preservation. Saves critical files, task progress, and working state before compaction, restores after....
Master the four operations of context engineering — Write, Select, Compress, Isolate. Manage token budgets, compaction strategies, and conte...
Optimize token usage and context management. Use when sessions feel slow, context is degraded, or you're running out of budget.
Track session costs, set budget alerts, and optimize token spend. Use to check costs mid-session or set spending limits.
Configure file watching hooks to auto-react to config changes, env file updates, and dependency modifications. Use to set up reactive workfl...
Show session analytics, learning patterns, correction trends, heatmaps, and productivity metrics. Computes stats from project memory and ses...
Capture a correction or lesson as a persistent learning rule with category, mistake, and correction. Stores, categorises, and retrieves rule...
Provider-agnostic multi-LLM deliberation. Three phases — independent responses, cross-model anonymized ranking, chairman synthesis. Provider...