A powerful organizational skill for managing personal knowledge using the PARA method to optimize for AI agent navigation and human actionability.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install para-pkm
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install para-pkm using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The PARA PKM skill implements the renowned Projects, Areas, Resources, and Archives methodology, specifically tailored for seamless integration with AI agents. Unlike traditional topic-based filing systems that lead to digital clutter, this skill prioritizes actionability, ensuring that your most relevant information is always surfaced when needed most. By leveraging Openclaw Skills, users can transform chaotic data into a structured, high-performance system that both humans and AI agents can navigate with extreme efficiency.
At its core, this skill focuses on reducing cognitive load and token consumption. By organizing content based on its lifecycle—from active projects with deadlines to long-term reference resources—it provides a clear map for AI agents to follow. This approach makes Openclaw Skills particularly effective for users who need to maintain complex knowledge bases without sacrificing the speed of AI retrieval.
To get started with this organizational framework within the Openclaw Skills ecosystem, follow these installation and configuration steps:
# Initialize a new PARA knowledge base with standard templates
python scripts/init_para_kb.py <your_kb_name>
# Validate your existing structure for PARA compliance
python scripts/validate_para.py ./path/to/kb
# Generate the AI-specific navigation index
python scripts/generate_nav.py --kb-path ./my-knowledge-base --output AGENTS.md
Ensure that your environment has access to the templates provided in the assets folder to maintain consistency across your projects and areas.
The skill maintains a flat and efficient directory structure to maximize readability for both users and AI agents. It follows this metadata taxonomy:
| Directory | Content Type | Organizational Logic |
|---|---|---|
projects/ |
Time-bound goals | Items with a specific deadline or end state |
areas/ |
Ongoing responsibilities | Domains that require a standard of performance over time |
resources/ |
Reference material | Interests, research, or items to be used in future projects |
archives/ |
Inactive items | Completed projects or responsibilities no longer being maintained |
Each area includes an _overview.md file to provide high-level context, while projects utilize specific templates to track goals and deliverables.
AGENTS.md designed to minimize tokens by pointing to paths rather than deep file content.Loading
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