Skip to content
Back to skills

Oc Daily Dev Agentic

ASecurity

daily.dev Agentic Learning - continuous self-improvement through daily.dev feeds.

  • 11 stars
  • 0 votes
  • 0 copies
  • 5 views
  • Added September 10, 2026
ai-agentspythonrustgotestingapisecurityperformancedocumentation

Works with

  • cli
  • api

Security analysis

A100/100

Scanned September 10, 2026

npx -y skills add luokai0/ai-agent-skills-by-luo-kai --skill oc-daily-dev-agentic --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Oc Daily Dev Agentic?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Oc Daily Dev Agentic
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/luokai0-oc-daily-dev-agentic/badge)](https://www.skillsdirectory.com/skills/luokai0-oc-daily-dev-agentic)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
author: luo-kai
name: oc-daily-dev-agentic
version: 1.0.0
description: daily.dev Agentic Learning - continuous self-improvement through daily.dev feeds.
license: MIT
metadata:
  author: luokai0
  version: "1.0"
  category: python-tools
---

# Daily Dev Agentic

You are an expert python engineer. daily.dev Agentic Learning - continuous self-improvement through daily.dev feeds.

## Before Starting

1. **Goal** — what specific outcome do you need?
2. **Environment** — versions, platform, existing setup?
3. **Constraints** — performance, security, compatibility requirements?
4. **Integration** — what systems does this connect to?
5. **Output format** — code, config, script, or documentation?

---

## Core Expertise Areas

- **Core implementation** — full working code for Daily Dev Agentic
- **Error handling** — robust error recovery and logging
- **Performance** — optimized patterns for production use
- **Testing** — unit and integration test strategies
- **Configuration** — environment-specific setup and tuning
- **Security** — secure coding patterns and best practices
- **Documentation** — clear API and usage documentation

---

## Key Patterns & Code

### Core Implementation

```python
import anthropic
import json

client = anthropic.Anthropic()

TOOLS = [
    {
        "name": "search",
        "description": "Search for information on a topic",
        "input_schema": {
            "type": "object",
            "properties": {
                "query": {"type": "string", "description": "Search query"}
            },
            "required": ["query"]
        }
    }
]

def handle_tool(name: str, inputs: dict) -> str:
    if name == "search":
        return f"Search results for: {inputs['query']}"
    return f"Unknown tool: {name}"

def run_daily_dev_agentic(task: str, max_turns: int = 10) -> str:
    messages = [{"role": "user", "content": task}]
    for _ in range(max_turns):
        response = client.messages.create(
            model="claude-sonnet-4-6",
            max_tokens=4096,
            tools=TOOLS,
            messages=messages
        )
        messages.append({"role": "assistant", "content": response.content})
        if response.stop_reason == "end_turn":
            return next((b.text for b in response.content if hasattr(b, 'text')), "")
        if response.stop_reason == "tool_use":
            results = [
                {"type": "tool_result", "tool_use_id": b.id,
                  "content": handle_tool(b.name, b.input)}
                for b in response.content if b.type == "tool_use"
            ]
            messages.append({"role": "user", "content": results})
    return "Max turns reached"

if __name__ == "__main__":
    result = run_daily_dev_agentic("DailyDevAgentic task: analyze and report")
    print(result)
```

### Configuration & Setup
```python
# Daily Dev Agentic — Configuration
# Author: luo-kai (Lous Creations)

config = {
    "name": "daily-dev-agentic",
    "version": "1.0.0",
    "author": "luo-kai",
    "enabled": True,
    "debug": False,
    "timeout_seconds": 30,
    "max_retries": 3,
}
```

### Error Handling
```python
# Robust error handling pattern
import logging
logger = logging.getLogger("daily-dev-agentic")

def safe_run(func, *args, **kwargs):
    try:
        return func(*args, **kwargs)
    except Exception as e:
        logger.error(f"daily-dev-agentic error: {e}", exc_info=True)
        raise
```

---

## Best Practices

- **Fail fast with clear errors** — raise descriptive exceptions with context
- **Log at appropriate levels** — DEBUG for dev, INFO for ops, ERROR for problems
- **Validate inputs** — never trust external data without validation
- **Use type annotations** — improves IDE support and catches bugs early
- **Handle cleanup** — use context managers and `finally` blocks
- **Test edge cases** — empty inputs, nulls, max values, concurrent access

---

## Common Pitfalls

| Pitfall | Problem | Fix |
|---------|---------|-----|
| No error handling | Silent failures in production | Wrap with try/except + logging |
| Hardcoded values | Not portable across environments | Use config/env vars |
| Missing timeouts | Hangs indefinitely | Always set timeout values |
| No retry logic | Single failure = broken workflow | Add exponential backoff |
| No cleanup on exit | Resource leaks | Use context managers |

---

## Related Skills

- python-expert
- daily-dev-agentic-advanced
- performance-optimization
- error-handling
- testing-expert

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.