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botoolagent-memory-agentworkflow

Regenerate viewer/public/agentworkflow-data.json from Skill files, CLAUDE.lead.md, and BotoolAgent.sh.

Updated Aug 27, 2026
Search Tags:#automation#git#memory#agent-workflow#json-generation#workflow-sync
One-click install
npx skills add https://github.com/Botool-Dev-Team/BotoolAgent --skill botoolagent-memory-agentworkflow
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: botoolagent-memory-agentworkflow
Source: https://github.com/Botool-Dev-Team/BotoolAgent/tree/main/skills/BotoolAgent/MemoryAgentWorkflow
Command: npx skills add https://github.com/Botool-Dev-Team/BotoolAgent --skill botoolagent-memory-agentworkflow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Keeps the visual representation of the BotoolAgent workflow in lockstep with the actual implementation by regenerating viewer/public/agentworkflow-data.json from all Skill files, CLAUDE.lead.md, and BotoolAgent.sh.

Core Features & Use Cases

  • Full regeneration of viewer workflow memory by analyzing Skill files, lead instructions, and the outer loop script to ensure the agentworkflow-data.json always reflects the current pipeline state.
  • Detects changes across iterations, tracks the latest version, and validates the JSON to prevent drift in the viewer.

Quick Start

Run the memory agentworkflow scan to rebuild viewer/public/agentworkflow-data.json from the current repository state.

Frequently Asked Questions about botoolagent-memory-agentworkflow

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I sync agent workflow memory with actual repository changes?▼

To sync agent workflow memory, regenerate the agentworkflow-data.json file by analyzing all Skill files, CLAUDE.lead.md, and BotoolAgent.sh to ensure the visual workflow reflects the current pipeline state.

What causes viewer workflow JSON drift during update pipelines?▼

Viewer workflow JSON drift occurs when implementation files change without regenerating agentworkflow-data.json, which is fixed by reconstructing the JSON from Skill files and lead instructions to match the current state.

How do I regenerate agentworkflow-data.json from Skill files?▼

Regenerate agentworkflow-data.json by running a memory agentworkflow scan that analyzes Skill files, CLAUDE.lead.md, and BotoolAgent.sh to rebuild the viewer workflow memory from the current repository state.

Do I need git and Python to rebuild workflow memory?▼

Yes, rebuilding workflow memory requires a shell environment with git for change tracking and Python for JSON handling to validate the reconstructed agentworkflow-data.json against the repository state.

When should I trigger a workflow memory sync operation?▼

Trigger workflow memory sync during update pipelines, iterative memory operations, or whenever implementation files change to prevent drift between the visual viewer and the actual pipeline state.

Does workflow memory regeneration validate the JSON output?▼

Yes, workflow memory regeneration validates the reconstructed agentworkflow-data.json using Python to ensure the output JSON is structurally sound and accurately reflects the discovered versions and tracked changes.

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