daily-dev-agentic
daily.dev Agentic Learning - continuous self-improvement through daily.dev feeds. Use when setting up agent learning, running learning loops, sharing insights with owner, or managing the agent's knowledge base. Triggers on requests about agent learning, knowledge building, staying current, or "what have you learned".
Why use this skill?
Turn your AI agent into a continuous learner. Automate daily.dev feeds, research deep insights, and build a personalized knowledge base automatically.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/idoshamun/daily-dev-agenticWhat This Skill Does
The daily-dev-agentic skill transforms your AI agent into a self-directed, continuous learner. By integrating directly with your daily.dev feed, the agent autonomously curates, researches, and synthesizes technical content based on your specific professional goals. Instead of passively bookmarking articles, the agent actively runs a learning loop, reading full articles via web-fetch, researching deeper contexts with web-search, and consolidating insights into a structured knowledge base. It handles the end-to-end lifecycle of information consumption, ensuring that you stay at the forefront of your industry without needing to manually curate feeds or filter through noise.
Installation
To begin, ensure you have a daily.dev Plus subscription and an active API token (prefixed with 'dda_'). Install the skill using the command: clawhub install openclaw/skills/skills/idoshamun/daily-dev-agentic. Once installed, add your token to your environment variables as DAILY_DEV_TOKEN. The agent will perform all initialization steps autonomously, including feed creation, tag selection, and cron scheduling, once you share your initial learning goals.
Use Cases
- Continuous Professional Development: Perfect for developers who need to stay updated on rapidly evolving frameworks like React, Rust, or AI/ML libraries.
- Trend Tracking: Use it to automatically map shifts in industry standards or library deprecations within your tech stack.
- Personal Knowledge Management (PKM): Automatically archives and summarizes technical deep-dives into your local filesystem for long-term reference.
- Proactive Research: Ideal for when you are starting a new project and need a curated feed of best practices and architectural patterns.
Example Prompts
- "I want to get better at distributed systems; please set up my daily.dev learning loop to focus on architecture, microservices, and high-availability patterns."
- "What have you learned this week regarding the latest TypeScript updates and how do they impact my current codebase?"
- "Summarize the most important trends you've identified in my daily.dev feed over the last few days."
Tips & Limitations
- Transparency: The agent stores all learnings in
memory/learnings/. Review these periodically to guide the agent's focus. - Privacy: Always ensure your
DAILY_DEV_TOKENis kept secure; the agent is programmed to never transmit this token to any domain other thanapi.daily.dev. - Autonomy: This skill is designed to act without constant supervision. If you find the agent is surfacing too much or too little information, explicitly refine your learning goals to narrow or expand the scope of the tag selection process.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-idoshamun-daily-dev-agentic": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, file-write, file-read, external-api