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pro-workflow
by rohitg00
Self-correcting Claude agent workflows with compound memory
JavaScript
Updated Jul 18, 2026
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What It Does
Implements self-correcting agent workflows for Claude Code that learn from developer corrections over many sessions. Structures work into parallel worktrees and agent teams with 17 reusable skills to automate context engineering and iterative fixes. Uses a memory compounding pattern so corrections persist and improve future outputs across 50+ sessions.
Why It Matters
As agents get more autonomous, their history of failures and fixes becomes the strongest signal for future reliability. pro-workflow makes correction history a first-class artifact—compounding memory and team-based workflows so you can measure and improve an agent's track record. That visibility is essential for trustworthy multi-agent orchestration and continuous agent evaluation.
Target Use Cases
Teams building iterative Claude-based workflows that need reproducible corrections, parallel worktrees, and improved agent reliability.
Applications
- Automating iterative code fixes where developer corrections must persist across sessions
- Running parallel worktrees to experiment with alternative agent solutions and compare outcomes
- Building agent teams with reusable skills to scale repeatable developer workflows
Works With
anthropicjavascript
Topics
agent-orchestrationai-agentsai-codingai-workflowclaudeclaude-codeclaude-code-pluginclaude-code-skillsclaude-skillscodex+9 more
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Keywords
multi-agent orchestrationagent track recordself-correctionanthropic