knowledge-management

What This Skill Does

The Knowledge Management skill acts as an intelligent librarian for your OpenClaw agent. It systematically parses raw, unstructured memory logs, such as the primary MEMORY.md file or dated daily entries, and categorizes them into specific, actionable buckets. By identifying content types—including Research, Decision, Insight, Lesson, Pattern, Project, Reference, and Tutorial—it transforms a chaotic stream of consciousness into a clean, searchable, and structured local knowledge base. This allows you to retrieve specific technical findings or project decisions without sifting through weeks of logs. It maintains a clean workspace by enabling the automated creation of a dedicated subdirectory structure, ensuring that your memory remains organized as your agent's history grows.

Installation

To install this skill, use the ClawHub CLI command within your terminal environment: clawhub install openclaw/skills/skills/claireaicodes/knowledge-management Once installed, no API keys or external configurations are required. The skill intelligently auto-detects your workspace through environment variables like OPENCLAWORKSPACE or by locating existing MEMORY.md files in your current working directory. You can optionally pre-create the directory structure using standard shell commands if you prefer to manage the file system permissions manually before the first sync.

Use Cases

This skill is perfect for developers, researchers, and project managers who use OpenClaw to brainstorm or document progress. Use it to:

• Archive project-specific decisions made during complex coding sessions.
• Aggregate research findings into a centralized Reference library for later retrieval.
• Convert daily rambling logs into reusable Lessons and Patterns.
• Keep your primary memory clean by moving resolved items into a long-term storage archive.

Example Prompts

1. "OpenClaw, run a sync of my memory from the last 7 days and organize everything into the KM folder structure."
2. "Perform a dry run classification of my current memory logs and show me the resulting JSON so I can see how you are categorizing my latest insights."
3. "Summarize all my recent project-related entries and generate index files so I can quickly see what progress I've made this week."

Tips & Limitations

To maximize the efficiency of this skill, ensure that your MEMORY.md entries are written with clear context. The classifier relies on natural language patterns within your logs; the more descriptive your notes, the more accurate the classification. Always use the --dry_run flag when performing cleanup operations to avoid losing important data, as the cleanup command removes orphaned entries that are no longer linked to active memory files. Keep in mind that this is a local-first tool; it does not sync to cloud databases, making it an excellent choice for users concerned about data privacy and offline accessibility.