pro-workflow
rohitg00 · rohitg00/pro-workflow
Enhances Claude Code with self-correcting memory, persistent knowledge bases, and advanced workflow automation across sessions.
Claude Code learns from your corrections: self-correcting memory that compounds over 50+ sessions. Context engineering, parallel worktrees, agent teams, and 17 battle-tested skills.
Preview
What you can do with it
- Teach Claude Code new rules or conventions once, and it remembers them for future sessions.
- Maintain a persistent knowledge base for projects that Claude can auto-research and reference.
- Automate code quality checks and adhere to specific development standards.
Safety check
Usable, but read the notes first.
- ●Contains instructions that try to override the agent or hide actions from you.
skills/bug-capture/SKILL.md - ●No clear license: check with the author before using it in a commercial product.
Automated scan of the repo files. Always review code you run.
From the README
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. 41 skills • 8 agents • 23 commands • 33 hook scripts across 22 events Works with Claude Code, Cursor, and 32+ agents via skills add.
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
Pro Workflow is published in two places: the Claude Code plugin marketplace (native), and skills add (cross-agent installer). Other agents do not have first-class plugins yet — skills add installs the skill bundle into each agent's native skill directory.
Claude Code (native)
/plugin marketplace add rohitg00/pro-workflow
/plugin install pro-workflow@pro-workflow
Cursor, Codex, Copilot CLI, Droid, Gemini CLI, OpenCode, and 26 more (via skills add)
skills add installs the 41 skills + 23 commands into each agent's native skill directory.
npx skills add rohitg00/pro-workflow
Notes:
- Use
rohitg00/pro-workflow(the GitHub form), not the bare name —skills addresolves providers fromowner/repo, not marketplace slugs.
Works with these agents: cursor, codex, gemini-cli, opencode, github-copilot, droid (factory), antigravity, amp, clawdbot, cline, codebuddy, commandcode, continue, crush, goose, kilo, kiro-cli, mcpjam, mux, neovate, openhands, pi, qoder, qwen, roo, trae, universal, vercel, windsurf, zencoder.
Roster notes (2026): windsurf relaunched as Devin Desktop, which speaks the Agent Client Protocol (ACP); gemini-cli was superseded by the Antigravity CLI for consumers. The adapter names above still resolve, but target the current product. MCP works across every agent in this list with the same setup. See references/modern-workflows-2026.md for the interop picture.
After install, run skills sync to register the skills with the target agent's config.
Manual install (any agent, any OS)
If neither path works for your setup, clone and copy the bundle directly. Adjust the destination to your agent's skill directory (e.g. ~/.cursor/rules/, ~/.gemini/extensions/, etc.).
git clone https://github.com/rohitg00/pro-workflow.git /tmp/pw
cd /tmp/pw && npm install && npm run build
cp -r /tmp/pw/templates/split-claude-md/* ./.claude/
cp -r /tmp/pw/skills ~/.claude/skills/
cp -r /tmp/pw/commands ~/.claude/commands/
cp /tmp/pw/hooks/hooks.json ~/.claude/hooks.json
First-run smoke test
/doctor # confirms SQLite store, hooks, skills load
/wrap-up # runs the end-of-session ritual (no-op on fresh install)
If /doctor reports KB: missing, run cd ~/.claude/plugins/*/pro-workflow && npm install && npm run build — the SQLite components need a build step a handful of marketplaces skip.
What to type first
After install you have 41 skills and 23 slash commands. You don't need to memorize them; the agent picks the right skill from your prompt. The five commands below cover 80% of daily use:
| When | Command | What it does |
|---|---|---|
| Wrong correction repeats | /learn-rule | Capture the correction as a rule. Loaded on every future SessionStart. |
| End of a coding session | /wrap-up | Audit changes, persist learnings, write a handoff doc. |
| Researching a topic | /wiki init <slug> | Spin up a persistent FTS5 wiki. Auto-injected when you mention the topic later. |
| Stuck on a hard bug | /develop | Research → Plan → Implement phases with validation gates. |
| Before a PR | /smart-commit | Quality gates, staged review, conventional commit message. |
Full list: commands/ · skills/ · /list inside any session.
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 (B