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BytesAgainBytesAgain
BytesAgain β€Ί Skills β€Ί Daily Dev Agentic
πŸ¦€ ClawHub

Daily Dev Agentic

by @idoshamun

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".

Versionv0.5.3
#legal#real-estate#education#automation
Source

Use this skill with your agent

Most visitors already have an agent. Pick your environment, install or copy the workflow, then run the smoke-test prompt above.

Manus
Task-oriented agent. Great for testing AI skills end-to-end.
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OpenClaw
Local-first agent. Install skills via ClawHub CLI.
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Claude Code
Anthropic's coding agent. Paste the prompt or SKILL.md into your session.
Claude Code docs β†’
Cursor
AI-powered IDE. Use the smoke-test prompt in Cursor Agent.
Open Cursor β†’
Continue.dev
Open-source AI code assistant. Add SKILL.md as a custom tool.
Continue docs β†’
Windsurf
Agentic IDE by Codeium. Paste the prompt into Cascade.
Try Windsurf β†’
Cline
VS Code extension for autonomous coding with MCP tools.
Cline on GitHub β†’
Copilot Workspace
GitHub's AI dev environment. Suitable for code-generation skills.
Copilot Workspace β†’

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What to do next

Skills are meant to be used inside your own AI agent. Install it, run a quick smoke test, then ask your agent to apply it to your real task.

1
Install into your agentCopy the ClawHub install command and run it where your OpenClaw/agent environment is configured.
2
Run a smoke testUse the test prompt below to confirm the skill loads and understands the workflow before relying on it.
3
Use it in your own agentPaste your actual task into Manus, OpenClaw, Claude Code, Cursor, or another agent that supports skills.
I just installed the Daily Dev Agentic skill. Please run a quick smoke test: explain what this skill can do, ask me for the minimum input it needs, then produce one small sample output for a realistic task.