pro-workflow

Your Claude Code gets smarter every session.

Self-correcting memory + persistent FTS5-indexed wikis + auto-research loop, all on one SQLite store.
Correct Claude once — it never repeats the mistake. Build a wiki on a topic — it grows itself overnight.
34 skills • 8 agents • 22 commands • 37 hook scripts across 24 events
Works with Claude Code, Cursor, and 32+ agents via SkillKit.

The Problem

You correct Claude the same way 50 times. You explain conventions every new session. Context compacts, learnings vanish, mistakes repeat. You research the same topic in three different sessions because there is nowhere durable for the answers to land.

Every Claude Code user hits this wall.

The Solution

Pro Workflow puts a single SQLite store underneath every session.

• Self-correction memory — every correction becomes a rule, FTS5-searchable, auto-loaded on session start.
• Knowledge plane — persistent research wikis on disk + FTS5 shadow index, queryable from any session, optionally grown by an auto-research loop.
• Quality gates — LLM-powered hooks, deterministic git/secret guards, compaction-aware state, cost tracking.

After 50 sessions you barely correct anything. After a week of auto-research, your wiki on a topic is denser than the curated lists you started from.

Session 1:  You → "Don't mock the database in tests"
            Claude → Proposes rule → You approve → Saved to SQLite

Session 2:  SessionStart loads all learnings + lists your wikis
            UserPromptSubmit auto-injects top wiki hits when relevant
            Claude writes integration tests, cites the right wiki page

Session 50: Correction rate near zero. Wiki has 200 cited claims.

Install

/plugin marketplace add rohitg00/pro-workflow
/plugin install pro-workflow@pro-workflow

# Cursor
/add-plugin pro-workflow

# Any agent via SkillKit
npx skillkit install pro-workflow

# Manual
git clone https://github.com/rohitg00/pro-workflow.git /tmp/pw
cp -r /tmp/pw/templates/split-claude-md/* ./.claude/

# Build SQLite-backed components
cd ~/.claude/plugins/*/pro-workflow && npm install && npm run build

60-second tour

# 1. Self-correction (existing)
/learn-rule          # capture a correction
/wrap-up             # end session, persist learnings, audit changes
/insights            # heatmaps, trends, productivity

# 2. Knowledge plane (v3.3, new)
/wiki init agent-memory --title "Agent Memory" --flavor research
/wiki page agent-memory wiki/concepts/episodic-memory.md --type concept
/wiki ask "what is episodic memory" --wiki agent-memory

# 3. Auto-research (budget-capped, opt-in)
/wiki seed agent-memory "memory consolidation in agents"
/wiki research agent-memory --max-pages 5 --budget-usd 0.50

# 4. Hybrid retrieval (BM25 + vector RRF, optional)
/wiki embed agent-memory                       # OPENAI_API_KEY or VOYAGE_API_KEY
/wiki hybrid "consolidation patterns" --wiki agent-memory

# 5. Multi-LLM deliberation (transcript persists as a wiki page)
/wiki council "should we adopt episodic memory?" --wiki agent-memory

# 6. Browse the wiki visually (single-file HTML, S3-shareable)
/wiki view agent-memory
open ~/.pro-workflow/wikis/agent-memory/derived/viewer.html

# Kill switch for any auto loop
touch ~/.pro-workflow/STOP

UserPromptSubmit auto-loads top-3 wiki hits when prompts mention indexed topics. SessionStart lists registered wikis and recent learnings.

What's new in v3.3

Persistent knowledge plane on top of self-correction memory.