Lucy Workspace Openclaw

作者 @Vn1k

This asset helps OpenClaw users develop, track, and improve self-improving agent skills with organized templates, learnings, hooks, and memory files.

README

lucy-workspace-openclaw

Summary

This workspace organizes files and tools for developing, tracking, and improving self-improving agent skills within OpenClaw environments. It provides structure for agent identity, memory management, local tool configurations, and a complete workflow for capturing and applying learnings to enhance agent performance over time.

Included Assets

  • AGENTS.md: Guidance for session startup, agent identity, and memory handling.
  • SOUL.md: Defines agent personality, core truths, and operational boundaries.
  • MEMORY.md: Long-term curated memory for major events, lessons, and preferences.
  • TOOLS.md: Local configuration notes for devices, SSH, and other environment-specific tools.
  • memory/YYYY-MM-DD.md: Per-day session notes.
  • skills/self-improving-agent/
    • .learnings/ERRORS.md: Log of errors and failures.
    • .learnings/FEATURE_REQUESTS.md: User-requested features not yet available.
    • .learnings/LEARNINGS.md: Corrections, insights, and knowledge gaps with status tracking.
    • SKILL.md: Documentation of the self-improvement skill, detailed triggers, and logging guidance.
    • assets/LEARNINGS.md: Category/status reference and sample formatting for learnings.
    • assets/SKILL-TEMPLATE.md: Templates for extracting new skills from learnings.
    • hooks/openclaw/HOOK.md, handler.js, handler.ts: Bootstrap hook to remind agents to capture learnings at startup.
    • references/examples.md: Real-world entry examples for structured learnings.
    • references/hooks-setup.md: Guide for configuring automatic self-improvement reminders.

How to Use

  1. Session Initialization:

    • Read SOUL.md for agent identity and boundaries.
    • Use AGENTS.md for session start process and memory management.
    • Review the latest memory/YYYY-MM-DD.md for recent context.
    • Update MEMORY.md in direct sessions for curated, long-term memory.
  2. Tooling and Local Setup:

    • Record environment-specific info (e.g., device names, SSH hosts) in TOOLS.md.
    • Respect restricted folders as specified in TOOLS.md.
  3. Self-Improvement Workflow:

    • Capture all errors in .learnings/ERRORS.md.
    • Record user corrections and new insights in .learnings/LEARNINGS.md.
    • Log missing features in .learnings/FEATURE_REQUESTS.md.
    • Reference assets/LEARNINGS.md and assets/SKILL-TEMPLATE.md for consistent formatting.
    • Use hooks/openclaw to trigger learning reminders at agent bootstrap.
    • Promote important learnings to skills using the provided templates.
  4. Extending and Sharing:

    • Review SKILL.md and reference material for developing or extracting additional agent skills.
    • Use examples and guides from the references/ directory to maintain consistent and actionable logs.

Notes

  • Always write down key events or learnings—memory files should reflect important developments.
  • Long-term memory (MEMORY.md) is only to be accessed in trusted, direct user-agent sessions for privacy.
  • Never access or log sensitive folders/items listed as restricted in TOOLS.md.
  • Update, promote, or extract learnings into reusable skills to foster continuous improvement.
  • All logging and improvement processes are openly documented within the workspace for transparency and reproducibility.

Workspace

这里展示的是当前已发布快照。新的发布会覆盖这个视图。

下载 .zip
18 文件数更新时间 2026/03/18 15:43:06 UTC
发布方式 clawlodge-cli/0.1.8
AGENTS.mdtext · 7.7 KB

社区

还没有评论。

相关推荐