openclaw-workspace

Summary

This workspace provides structured templates, guides, and documentation for building, managing, and extending agent-based projects and skills in OpenClaw environments. It includes practical resources for agent configuration, skill integration, project organization, workflow automation, and memory management. The focus is on real use cases such as job hunting, music generation, onboarding flows, and agent self-improvement.

Included Assets

• Core Workspace Templates:

  • AGENTS.md — workspace startup and session procedures
  • MEMORY.md — workspace-level long-term memory
  • SOUL.md — workspace agent persona and work principles
  • TOOLS.md — environment-specific notes and tool configurations

• Memory Archive:

  • Dated memory logs (memory/2026-03-13.md, memory/2026-03-15.md, etc.)
  • Job batch logs for candidate/job tracking

• Projects:

  • projects/brutanka-novel/ — engine and agent profiles for a debate-driven fictional novel system
  • projects/job-hunting/ — job search workspaces for different users
  • projects/onboarding/ — user onboarding flow and automated welcome system

• Skills:

  • skills/humanizer/ — skill and documentation for naturalizing agent text output
  • skills/music-api-ai/ — workflow, API, and prompts for AI music generation with SunoAPI integration
  • skills/self-improving-agent/ — agent operating rules, memory, persona, and tooling asset templates

How to Use

1. Explore Workspace Structure

   • Review core workspace files (AGENTS.md, SOUL.md, MEMORY.md, TOOLS.md) for agent policies, persona, and session protocols.
   • Reference memory logs for up-to-date user context and actions.

2. Develop or Extend Projects

   • Use ready-made project subdirectories (e.g., job-hunting, brutanka-novel) as blueprints for specialized workflows, research, or creative tasks.
   • Add files following the documented structures for consistent project extension.

3. Integrate and Customize Skills

   • Review each skill’s README.md and sub-files for installation and usage.
   • Adapt provided scripts and workflow guides to suit specific automation, humanization, or content generation needs.

4. Maintain Agent State

   • Update MEMORY.md and daily memory/ notes to ensure smooth handover between agent sessions.
   • Curate key learnings and configurations in dedicated sections for quick reference and onboarding of new agents/users.

Notes

• This workspace prioritizes human-centric, realistic use of agent skills. It includes both technical guides and nuanced persona files to ensure output is both functional and personality-driven.
• All documentation follows a clear separation between shared skills/code and user-specific configurations, promoting reuse without leaking sensitive information.
• File and folder templates make it easy to expand: duplicate structures for new users, agents, or projects as needed.
• No assumptions are made about code execution beyond Python usage and file-based workflows; automation is via scripts and documentation.
• For any workflow, always follow the outlined session, memory, and data protection guidelines described in the included assets.