By rohitg00
Run a complete AI-assisted coding workflow with self-correcting memory, persistent FTS5-indexed research wikis, auto-research loops, multi-LLM council deliberation, and 8 specialized agents that coordinate parallel sessions, enforce quality gates, audit context costs, and capture learnings across every session.
Generate a structured handoff document that another Claude session (or your future self) can consume immediately to continue where you left off.
Surface patterns from your pro-workflow learnings and session history.
Build a feature using Research > Plan > Implement phases
Diagnose pro-workflow setup and Claude Code configuration
Auto-detect project type and configure quality gates, permissions, and hooks for a new codebase
Break down complex tasks into implementation plans before writing code. Use when task touches >5 files, requires architecture decisions, or has unclear requirements.
Code review specialist that verifies every finding against actual code before reporting. Use before committing, for PR reviews, or after major changes.
Confidence-gated exploration that assesses readiness before implementation. Scores 0-100 across five dimensions and gives GO/HOLD verdict.
Multi-phase development agent. Research > Plan > Implement with validation gates. Use PROACTIVELY when building features that touch >5 files or require architecture decisions.
Specialized debugging agent. Use when facing hard bugs, test failures, or runtime errors that need systematic investigation.
Coordinate 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.
Auto-configure quality gates, hooks, and settings for a new project. Detects project type and sets up appropriate tooling. Use when onboarding a new codebase.
Decompose 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.
Capture 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".
Smart 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.
Matches all tools
Hooks run on every tool call, not just specific ones
Executes bash commands
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Hook triggers when Bash tool is used
Hook triggers when Bash tool is used
Modifies files
Hook triggers on file write and edit operations
Modifies files
Hook triggers on file write and edit operations
Uses power tools
Uses Bash, Write, or Edit tools
Uses power tools
Uses Bash, Write, or Edit tools
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.
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.
Pro Workflow puts a single SQLite store underneath every session.
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.
Pro Workflow is published in two places: the Claude Code plugin marketplace (native), and SkillKit (cross-agent translator). Other agents do not have first-class plugins yet — SkillKit translates the skill bundle into each agent's native skill format.
/plugin marketplace add rohitg00/pro-workflow
/plugin install pro-workflow@pro-workflow
SkillKit translates the 34 skills + 22 commands into each agent's native skill format and drops them in the right config directory.
npx skillkit install rohitg00/pro-workflow --agent <name> --force
Notes:
rohitg00/pro-workflow (the GitHub form), not the bare name — skillkit install resolves providers from owner/repo, not marketplace slugs.--force is currently required: SkillKit's security scanner has open false positives on standard Node patterns (child_process imports, Bearer ${env} template literals) that block legit skills like survey-generator and safe-mode. Tracked at skillkit#129.Supported <name> values: 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. Pass --agent universal for a portable bundle.
After install, run skillkit sync to register the skills with the target agent's config.
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.).
npx claudepluginhub rohitg00/pro-workflow --plugin pro-workflowPersistent memory for AI coding agents -- captures tool usage, compresses via LLM, injects context into future sessions. 12 hooks, 41 MCP tools, 4 skills, real-time viewer.
Complete developer toolkit for Claude Code
GitHub issue triage, creation, and management
Google Cloud Platform service configuration and deployment
Data privacy implementation with PII detection and anonymization
Curate auto-memory, promote learnings to CLAUDE.md and rules, extract proven patterns into reusable skills.
Skill and agent authoring tools: generate, audit, and improve Claude Code skills, commands, and agents
Agentic engineering done right — 57 structured workflows, 17 specialist agent personas, persistent memory across sessions, integrated learning partner, and impeccable UI design system. Works with Claude Code, Windsurf, Cursor, Gemini CLI, OpenCode, and Codex.
Persistent memory across sessions. Learns preferences, conventions, and corrections automatically.
Automated development loop and ad-hoc workflow generation for orchestrating AI coding agents
Harness-native ECC operator layer - 67 agents, 271 skills, 92 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses