共 30 个 Skill。
rohitg00/pro-workflow2.9kCoordinate multiple Claude Code sessions as a team — lead + teammates with shared task lists, mailbox messaging, and file-lock claiming. Patterns for team sizing, task decomposition, and when to use teams vs sub-agents vs worktrees.
AI 与智能体
rohitg00/pro-workflow2.9kAuto-configure quality gates, hooks, and settings for a new project. Detects project type and sets up appropriate tooling. Use when onboarding a new codebase.
AI 与智能体
rohitg00/pro-workflow2.9kDecompose large-scale changes into independent units and spawn parallel agents in isolated worktrees. Use for migrations, refactors, codemods, and any change touching 10+ files with the same pattern.
代码质量与审查
rohitg00/pro-workflow2.9kCapture a user-reported defect as a durable GitHub issue written in the project's own domain language. Explores the codebase in parallel for context but never leaks file paths or line numbers into the issue. Use when the user reports a bug conversationally, runs a QA pass, or says "file an issue", "log this as a bug", "capture this".
测试
rohitg00/pro-workflow2.9kSmart context compaction with state preservation. Saves critical files, task progress, and working state before compaction, restores after. Use before manual compact or when auto-compact triggers.
AI 与智能体
rohitg00/pro-workflow2.9kMaster the four operations of context engineering — Write, Select, Compress, Isolate. Manage token budgets, compaction strategies, and context partitioning to keep AI sessions sharp and efficient.
AI 与智能体
rohitg00/pro-workflow2.9kOptimize token usage and context management. Use when sessions feel slow, context is degraded, or you're running out of budget.
AI 与智能体
rohitg00/pro-workflow2.9kTrack session costs, set budget alerts, and optimize token spend. Use to check costs mid-session or set spending limits.
AI 与智能体
rohitg00/pro-workflow2.9kApply interface craft when building or reviewing UI - motion, easing, timing, springs, component feel, and visual foundations. Use when building a component, animation, transition, hover or press state, modal, drawer, toast, or when polishing an interface so it feels right. Says "make this feel better", "add an animation", "polish the UI", "review this component".
前端开发
rohitg00/pro-workflow2.9kRemove 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.
代码质量与审查
rohitg00/pro-workflow2.9kBuild the project's shared language and bounded contexts before writing code, so names stay consistent and the agent stops paraphrasing domain concepts. Produces a CONTEXT.md glossary and decision records. Use at the start of a project or feature, or when the codebase and the people describing it speak different languages.
文档与办公
rohitg00/pro-workflow2.9kConfigure file watching hooks to auto-react to config changes, env file updates, and dependency modifications. Use to set up reactive workflows.
前端开发
rohitg00/pro-workflow2.9kAudit an area of the codebase and propose the smallest structural moves that improve it - untangle boundaries, kill duplication, fix seams, break cycles. Produces a prioritized plan and decision records, not a rewrite. Use when a codebase feels tangled, hard to change, or is becoming a ball of mud, or when asked to improve or refactor architecture.
代码质量与审查
rohitg00/pro-workflow2.9kShow session analytics, learning patterns, correction trends, heatmaps, and productivity metrics. Computes stats from project memory and session history. Use when asking for stats, statistics, progress, how am I doing, coding history, or dashboard.
数据库与数据
rohitg00/pro-workflow2.9kCapture 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".
AI 与智能体
rohitg00/pro-workflow2.9kProvider-agnostic multi-LLM deliberation. Three phases — independent responses, cross-model anonymized ranking, chairman synthesis. Credentials come from explicit plugin configuration or pro-workflow-specific CLI variables. Persists transcript to a wiki page when --wiki <slug> is passed. Use when the user wants multiple AI perspectives, consensus-building, or the "LLM Council" approach for high-stakes reviews, plan critique, or contested learning rules.
AI 与智能体
rohitg00/pro-workflow2.9kLLM-powered quality verification using prompt hooks. Validates commit messages, code patterns, and conventions using AI before allowing operations. Use to set up intelligent guardrails.
AI 与智能体
rohitg00/pro-workflow2.9kAudit connected MCP servers for token overhead, redundancy, and security. Use when sessions feel slow or before adding new MCPs.
安全
rohitg00/pro-workflow2.9krohitg00/pro-workflow2.9kWire Commands, Agents, and Skills together for complex features. Use when building features that need research, planning, and implementation phases.
科研
rohitg00/pro-workflow2.9kCreate and manage git worktrees for parallel coding sessions with zero dead time. Use when blocked on tests, builds, wanting to work on multiple branches, context switching, or exploring multiple approaches simultaneously.
测试
rohitg00/pro-workflow2.9kAnalyze permission prompts and auto mode denials, then generate permission rules and autoMode entries that cut prompt fatigue. Use when prompts keep interrupting, auto mode falls back to prompting, or after sessions with many denials.
AI 与智能体
rohitg00/pro-workflow2.9kStress-test a plan by walking its decision tree one question at a time. Use when the user wants to pressure-test a design before implementation.
测试
rohitg00/pro-workflow2.9kComplete 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.
AI 与智能体
rohitg00/pro-workflow2.9kSurface past learnings relevant to the current task before starting work. Searches correction history, recalls past mistakes, and applies prior patterns. Use when starting a task, saying "what do I know about", "previous mistakes", "lessons learned", or "remind me about".
AI 与智能体
rohitg00/pro-workflow2.9kPrevent destructive operations using Claude Code hooks. Three modes — cautious (warn on dangerous commands), lockdown (restrict edits to one directory), and clear (remove restrictions). Uses PreToolUse matchers for Bash, Edit, and Write.
AI 与智能体
rohitg00/pro-workflow2.9kGenerate 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".
AI 与智能体
rohitg00/pro-workflow2.9kSkillOpt-flavored offline training loop for any SKILL.md. Treats accumulated learn-rule corrections as training trajectories, proposes bounded patches via an optimizer LLM, gates each candidate against a held-out validation set built from the user's own past corrections, and ships only candidates that demonstrably improve the score. Inspired by Microsoft SkillOpt's ReflACT pipeline (rollout → reflect → aggregate → select → update → evaluate) adapted to pro-workflow's SQLite store. Use when a skill has accumulated 8+ learn-rule rows and the user wants the skill itself to get better, not just longer.
数据库与数据
rohitg00/pro-workflow2.9kThe index of every pro-workflow skill and command, grouped by job, with when to reach for each and whether it is human-run or auto-triggered. Use when you are not sure which skill fits, want the full map, or ask "what can this do", "which skill for X", "list the workflow".
AI 与智能体
rohitg00/pro-workflow2.9kRun quality gates, review staged changes for issues, and create a well-crafted conventional commit. Use when saying "commit", "git commit", "save my changes", or ready to commit after making changes.
项目与协作