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pro-workflow

Complete AI coding workflow system. Orchestration patterns, 18 hook events, 5 agents, cross-agent support, reference guides, and searchable learnings. Works with Claude Code, Cursor, and 32+ agents.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
1,416
Hot score
99
Updated
March 20, 2026
Overall rating
C4.6
Composite score
4.6
Best-practice grade
D42.7

Install command

npx @skill-hub/cli install rohitg00-pro-workflow-pro-workflow

Repository

rohitg00/pro-workflow

Skill path: skills/pro-workflow

Complete AI coding workflow system. Orchestration patterns, 18 hook events, 5 agents, cross-agent support, reference guides, and searchable learnings. Works with Claude Code, Cursor, and 32+ agents.

Open repository

Best for

Primary workflow: Analyze Data & AI.

Technical facets: Full Stack, Data / AI.

Target audience: everyone.

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: rohitg00.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install pro-workflow into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/rohitg00/pro-workflow before adding pro-workflow to shared team environments
  • Use pro-workflow for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

Original source / Raw SKILL.md

---
name: pro-workflow
description: Complete AI coding workflow system. Orchestration patterns, 18 hook events, 5 agents, cross-agent support, reference guides, and searchable learnings. Works with Claude Code, Cursor, and 32+ agents.
---

# Pro Workflow

Complete AI coding workflow system from production use. Orchestration patterns, reference guides, and battle-tested habits that compound over time.

**Works with:** Claude Code, Cursor, Codex, Gemini CLI, and 32+ AI coding agents via SkillKit. Sections marked *(Claude Code)* use features specific to Claude Code — Cursor users can skip those or use the noted alternatives.

## The Core Insight

> "80% of my code is written by AI, 20% is spent reviewing and correcting it." — Karpathy

This skill optimizes for that ratio. Every pattern here reduces correction cycles.

---

## 1. The Self-Correction Loop

**The single most powerful pattern.** Your CLAUDE.md trains itself through corrections.

### How It Works

When you correct Claude:
1. Claude acknowledges the mistake
2. Proposes a rule to prevent it
3. You approve → rule goes into memory
4. Future sessions avoid the same mistake

### Add to CLAUDE.md

```markdown
## Self-Correction Protocol

When the user corrects me or I make a mistake:
1. Acknowledge specifically what went wrong
2. Propose a concise rule: `[LEARN] Category: One-line rule`
3. Wait for approval before adding to LEARNED section

### LEARNED
<!-- Auto-populated through corrections -->
```

### Trigger Phrases

- "Add that to your rules"
- "Remember this"
- "Don't do that again"

### Example Flow

```text
User: You edited the wrong file
Claude: I edited src/utils.ts when you meant src/lib/utils.ts.

[LEARN] Navigation: Confirm full path before editing files with common names.

Should I add this?
```

---

## 2. Parallel Sessions with Worktrees

**Zero dead time.** While one Claude thinks, work on something else.

### Setup

**Claude Code:**
```bash
claude --worktree    # or claude -w (auto-creates isolated worktree)
```

**Cursor / Any editor:**

```bash
git worktree add ../project-feat feature-branch
git worktree add ../project-fix bugfix-branch
```

### Background Agent Management *(Claude Code)*

- `Ctrl+F` — Kill all background agents (two-press confirmation)
- `Ctrl+B` — Send task to background
- Subagents support `isolation: worktree` in agent frontmatter

### When to Parallelize

| Scenario | Action |
|----------|--------|
| Waiting on tests | Start new feature in worktree |
| Long build | Debug issue in parallel |
| Exploring approaches | Try 2-3 simultaneously |

### Add to CLAUDE.md

```markdown
## Parallel Work
When blocked on long operations, use `claude -w` for instant parallel sessions.
Subagents with `isolation: worktree` get their own safe working copy.
```

---

## 3. The Wrap-Up Ritual

End sessions with intention. Capture learnings, verify state.

### /wrap-up Checklist

1. **Changes Audit** - List modified files, uncommitted changes
2. **State Check** - Run `git status`, tests, lint
3. **Learning Capture** - What mistakes? What worked?
4. **Next Session** - What's next? Any blockers?
5. **Summary** - One paragraph of what was accomplished

### Create Command

`~/.claude/commands/wrap-up.md`:

```markdown
Execute wrap-up checklist:
1. `git status` - uncommitted changes?
2. `npm test -- --changed` - tests passing?
3. What was learned this session?
4. Propose LEARNED additions
5. One-paragraph summary
```

---

## 4. Split Memory Architecture

For complex projects, modularize Claude memory.

### Structure

```text
.claude/
├── CLAUDE.md        # Entry point
├── AGENTS.md        # Workflow rules
├── SOUL.md          # Style preferences
└── LEARNED.md       # Auto-populated
```

### AGENTS.md

```markdown
# Workflow Rules

## Planning
Plan mode when: >3 files, architecture decisions, multiple approaches.

## Quality Gates
Before complete: lint, typecheck, test --related.

## Subagents
Use for: parallel exploration, background tasks.
Avoid for: tasks needing conversation context.
```

### SOUL.md

```markdown
# Style

- Concise over verbose
- Action over explanation
- Acknowledge mistakes directly
- No features beyond scope
```

---

## 5. The 80/20 Review Pattern

Batch reviews at checkpoints, not every change.

### Review Points

1. After plan approval
2. After each milestone
3. Before destructive operations
4. At /wrap-up

### Add to CLAUDE.md

```markdown
## Review Checkpoints
Pause for review at: plan completion, >5 file edits, git operations, auth/security code.
Between: proceed with confidence.
```

---

## 6. Model Selection

**Opus 4.6 and Sonnet 4.6** both support adaptive thinking and 1M-token context (as of 2025-08). The 1M context is available as a beta option (via the `context-1m-2025-08-07` beta header); the default context window remains 200K. Sonnet 4.5 (200K context) has been retired from the Max plan in favor of Sonnet 4.6. See [Models overview](https://docs.anthropic.com/en/docs/about-claude/models/overview) for current capabilities.

| Task | Model |
|------|-------|
| Quick fixes, exploration | Haiku 4.5 |
| Features, balanced work | Sonnet 4.6 |
| Refactors, architecture | Opus 4.6 |
| Hard bugs, multi-system | Opus 4.6 |

### Adaptive Thinking

Opus 4.6 and Sonnet 4.6 automatically calibrate reasoning depth per task — lightweight for simple operations, deep analysis for complex problems. No configuration needed. Extended thinking is built-in.

### Add to CLAUDE.md

```markdown
## Model Hints (as of 2025-08)
Opus 4.6 and Sonnet 4.6 auto-calibrate reasoning depth — no need to toggle thinking mode.
Use subagents with Haiku for fast read-only exploration, Sonnet 4.6 for balanced work.
Docs: https://docs.anthropic.com/en/docs/about-claude/models/overview
```

---

## 7. Context Discipline

200k tokens is precious. Manage it.

### Rules

1. Read before edit
2. Compact at task boundaries
3. Disable unused MCPs (<10 enabled, <80 tools)
4. Summarize explorations
5. Use subagents to isolate high-volume output (tests, logs, docs)

### Context Compaction

- Auto-compacts at ~95% capacity (keeps long-running agents alive)
- Configure earlier compaction: `CLAUDE_AUTOCOMPACT_PCT_OVERRIDE=50`
- Use PreCompact hooks to save state before compaction
- Subagents auto-compact independently from the main session

### Good Compact Points

- After planning, before execution
- After completing a feature
- When context >70%
- Before switching task domains

---

## 8. Learning Log

Auto-document insights from sessions.

### Add to CLAUDE.md

```markdown
## Learning Log
After tasks, note learnings:
`[DATE] [TOPIC]: Key insight`

Append to .claude/learning-log.md
```

---

## Learn Claude Code

Run `/learn` for a topic-by-topic guide covering sessions, context, CLAUDE.md, subagents, hooks, and more (see `commands/learn.md`). Official docs: **https://code.claude.com/docs/**

---

## Quick Setup

### Minimal

Add to your CLAUDE.md:

```markdown
## Pro Workflow

### Self-Correction
When corrected, propose rule → add to LEARNED after approval.

### Planning
Multi-file: plan first, wait for "proceed".

### Quality
After edits: lint, typecheck, test.

### LEARNED
```

### Full Setup

```bash
git clone https://github.com/rohitg00/pro-workflow.git /tmp/pw
cp -r /tmp/pw/templates/split-claude-md/* ./.claude/
cp -r /tmp/pw/commands/* ~/.claude/commands/
```

---

## Hooks *(Claude Code)*

Pro-workflow includes automated hooks to enforce the patterns. Cursor users get equivalent enforcement through `.mdc` rules in the `rules/` directory.

### PreToolUse Hooks

| Trigger | Action |
|---------|--------|
| Edit/Write | Track edit count, remind at 5/10 edits |
| git commit | Remind to run quality gates |
| git push | Remind about /wrap-up |

### PostToolUse Hooks

| Trigger | Action |
|---------|--------|
| Code edit (.ts/.js/.py/.go) | Check for console.log, TODOs, secrets |
| Test commands | Suggest [LEARN] from failures |

### Session Hooks

| Hook | Action |
|------|--------|
| SessionStart | Load LEARNED patterns, show worktree count |
| Stop | Context-aware reminders using `last_assistant_message` |
| SessionEnd | Check uncommitted changes, prompt for learnings |
| ConfigChange | Detect when quality gates or hooks are modified mid-session |

### Install Hooks

```bash
# Copy hooks to your settings
cp ~/skills/pro-workflow/hooks/hooks.json ~/.claude/settings.local.json

# Or merge with existing settings
```

### Hook Philosophy

Based on Twitter thread insights:
- **Non-blocking** - Hooks remind, don't block (except dangerous ops)
- **Checkpoint-based** - Quality gates at intervals, not every edit
- **Learning-focused** - Always prompt for pattern capture

---

## Contexts

Switch modes based on what you're doing.

| Context | Trigger | Behavior |
|---------|---------|----------|
| **dev** | "Let's build" | Code first, iterate fast |
| **review** | "Review this" | Read-only, security focus |
| **research** | "Help me understand" | Explore, summarize, plan |

Use: "Switch to dev mode" or load context file.

---

## Agents

Specialized subagents for focused tasks.

| Agent | Purpose | Tools |
|-------|---------|-------|
| **planner** | Break down complex tasks | Read-only |
| **reviewer** | Code review, security audit | Read + test |

### When to Delegate

Use planner agent when:
- Task touches >5 files
- Architecture decision needed
- Requirements unclear

Use reviewer agent when:
- Before committing
- PR reviews
- Security concerns

### Custom Subagents *(Claude Code)*

Create project-specific subagents in `.claude/agents/` or user-wide in `~/.claude/agents/`:
- Define with YAML frontmatter + markdown system prompt
- Control tools, model, permission mode, hooks, and persistent memory
- Use `/agents` to create, edit, and manage interactively
- Preload skills into subagents for domain knowledge

### Agent Teams *(Claude Code, Experimental)*

Coordinate multiple Claude Code sessions as a team:
- Enable: `CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1`
- Lead session coordinates, teammates work independently
- Teammates message each other directly (not just report back)
- Shared task list with dependency management
- Display: in-process (`Shift+Down` to navigate, wraps around) or split panes (tmux/iTerm2)
- Delegate mode (Shift+Tab): lead coordinates only, no code edits
- Best for: parallel reviews, competing hypotheses, cross-layer changes
- **Docs:** https://code.claude.com/docs/agent-teams

---

## 9. Orchestration: Command > Agent > Skill

The most powerful pattern for complex features. Three layers, each with a single job.

### The Architecture

```text
Command (user-facing entry point)
  └── Agent (execution, constrained tools, preloaded skills)
        └── Skill (domain knowledge, injected at startup)
```

### Multi-Phase Development (/develop)

For features touching >5 files or needing architecture decisions:

1. **Research** → orchestrator agent explores codebase, scores confidence (0-100)
2. **Plan** → presents approach, files to change, risks. Waits for approval.
3. **Implement** → executes plan step by step with quality gates every 5 edits
4. **Review** → reviewer agent checks for security, logic, quality

Never skip phases. Never proceed without approval between phases.

### Agent Skills (Preloaded)

```yaml
# Agent frontmatter
skills: ["api-conventions", "project-patterns"]
```

Full skill content injected at agent startup. Use for knowledge the agent always needs.

### On-Demand Skills (Invoked)

Skills with `user-invocable: true` are called via `/skill-name`. Use `context: fork` for isolated execution that doesn't pollute main context.

### When to Orchestrate

| Scenario | Pattern |
|----------|---------|
| Feature > 5 files | `/develop` with orchestrator |
| Bug investigation | debugger agent |
| Quick exploration | scout agent (background) |
| Code review | reviewer agent |
| Simple task | Just do it directly |

---

## 10. Daily Habits

### Every Session
- Run `/doctor` if things feel off
- Manual `/compact` at 50% — don't wait for auto-compact
- `ultrathink` in prompts for maximum reasoning
- Name sessions with `/rename` for easy `/resume`
- End with `/wrap-up` to capture learnings

### Context Management
- CLAUDE.md: < 60 lines root, < 150 max
- Use `CLAUDE_AUTOCOMPACT_PCT_OVERRIDE=50` for proactive compaction
- Delegate heavy exploration to subagents
- Keep <10 MCPs, <80 tools

### Cross-Agent Tips
- Use Cursor for tab completions + Claude Code in terminal for hard problems
- Same MCP servers work across both (share `.mcp.json` at project root)
- SkillKit translates skills to any agent: `npx skillkit translate pro-workflow --agent cursor`

---

## MCP Config *(Claude Code)*

Start with 3 MCPs. Add only for concrete needs.

Essential:
- `context7` — Live documentation lookup
- `playwright` — Browser automation (most token-efficient)
- `github` — PRs, issues, code search

See `mcp-config.example.json` for setup and curated recommendations.

---

## Commands *(Claude Code)*

| Command | Purpose | Cursor Equivalent |
|---------|---------|-------------------|
| `/wrap-up` | End-of-session ritual | `wrap-up` skill |
| `/learn-rule` | Extract correction to memory | `learn-rule` skill |
| `/develop` | Multi-phase feature build | `orchestrate` skill |
| `/doctor` | Health check | — |
| `/commit` | Smart commit with quality gates | `smart-commit` skill |
| `/insights` | Session analytics and patterns | `insights` skill |
| `/replay` | Surface past learnings | `replay-learnings` skill |
| `/handoff` | Session handoff document | `session-handoff` skill |
| `/search` | Search learnings by keyword | — |
| `/list` | List all stored learnings | — |
| `/learn` | Topic-by-topic Claude Code guide | — |

---

## Reference Guides

Deep dives on configuration and features:

| Guide | Topics |
|-------|--------|
| `docs/settings-guide.md` | All settings keys, permission modes, hierarchy, sandbox, env vars |
| `docs/cli-cheatsheet.md` | Every CLI flag, keyboard shortcut, slash command |
| `docs/orchestration-patterns.md` | Command > Agent > Skill architecture, frontmatter reference |
| `docs/context-loading.md` | CLAUDE.md monorepo loading, agent memory, skills discovery |
| `docs/cross-agent-workflows.md` | Claude Code + Cursor config mapping, background agents |
| `docs/new-features.md` | Voice mode, agent teams, checkpointing, new hook events |
| `docs/daily-habits.md` | Session habits, debugging tips, terminal setup, anti-patterns |

---

## Philosophy

1. **Compound improvements** - Small corrections lead to big gains
2. **Trust but verify** - Let AI work, review at checkpoints
3. **Zero dead time** - Parallel sessions keep momentum
4. **Memory is precious** - Yours and the AI's
5. **Orchestrate, don't micromanage** - Wire patterns together, let agents execute

---

*Complete AI coding workflow system from production use across Claude Code, Cursor, and beyond.*
pro-workflow | SkillHub