happy-notes for Openclaw

An intelligent knowledge base assistant for managing documents, performing deep research, and generating structured content like reports and slide decks.

iflow-ai-skill
v1.0.0
Apr 17, 2026
0
746
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install happy-notes

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install happy-notes using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is happy-notes?

happy-notes is a comprehensive knowledge management solution designed for Openclaw Skills. It serves as an iflow knowledge base assistant that empowers users to organize information from diverse sources, including file uploads, URL imports, and manual text entries. Beyond simple storage, it leverages AI to transform collected data into high-value outputs such as academic summaries, business reports, mind maps, and even multimedia content like podcasts and videos.

This skill is particularly effective for researchers and professionals who need to synthesize large volumes of information. By integrating web search and scholarly database access, happy-notes allows for seamless transitions from raw data collection to professional content creation, all within a unified workflow.

happy-notes Use Cases

  • Creating and managing specialized knowledge bases for academic research or business projects.
  • Importing web articles and local PDF documents for centralized information storage.
  • Generating structured reports, PPT presentations, and mind maps from existing document collections.
  • Conducting deep research and literature reviews using web and scholarly search integrations.
  • Sharing read-only snapshots of knowledge bases and generated assets with team members.

How happy-notes Works

  1. The user provides a prompt involving knowledge storage, research, or content generation.
  2. The agent evaluates the request to determine if it requires knowledge base management or if it can be answered using general LLM capabilities.
  3. If a knowledge base action is required, the skill triggers a specific Pipeline script (e.g., P1 for creation, P6 for web search) to handle complex multi-step logic.
  4. The skill interacts with the iflow API using a secure API key to upload files, perform semantic searches, or initiate generation tasks.
  5. Task status is monitored, and once processing is successful, the skill returns structured links, file summaries, or shared URLs to the user.

happy-notes Setup

To get started with happy-notes in the Openclaw Skills ecosystem, follow these steps:

  1. Obtain an API Key from the iflow management page.
  2. Configure your credentials using one of the following methods:
# Recommended for Linux/Mac
mkdir -p ~/.config/happy-notes && echo "your_api_key" > ~/.config/happy-notes/api-key

# Alternative: Environment Variable
export IFLOW_API_KEY="your_api_key"

For Windows PowerShell users:

New-Item -ItemType Directory -Force -Path "$env:USERPROFILE\.config\happy-notes"
"your_api_key" | Out-File -FilePath "$env:USERPROFILE\.config\happy-notes\api-key" -Encoding utf8 -NoNewline

happy-notes Data Schema & Taxonomy

The skill organizes data around the concept of Collections (Knowledge Bases) and Creations (Generated Outputs).

Entity Description Key Metadata
Collection A container for documents and snippets. collectionId, name, description
File Individual documents uploaded to a collection. fileId, fileName, status, summary
Creation AI-generated artifacts (Report, PPT, etc.). creationId, outputType, status
Search Record History of web or scholarly queries. searchId, source, query

happy-notes Advanced Features

  • Multi-step Pipelines: Automated workflows that combine KB creation, file uploading, and report generation in a single command.
  • Deep Research Mode: Multi-turn web searching and synthesis for complex academic or market analysis topics.
  • Semantic Search: High-precision content retrieval based on meaning rather than just keyword matching.
  • Batch Management: Support for bulk file deletions and mass updates to knowledge base metadata.
  • Shared Snapshots: Generate public or private links to share read-only views of entire knowledge bases with collaborators.

SKILL.md


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