claude-skills-guide

🥈Silver

A comprehensive guide for developing Claude Skills, from basic to advanced techniques. Ideal for operations teams looking to automate workflows. Connects to Claude agents for task automation and process optimization.

159160Updated 2mo ago

Intermediate30min to implementautomation

Saves ~120 min per use

Quick InstallView Source

git clone https://github.com/sanshao85/claude-skills-guide.git

Works with:

Claude

Overview

About This Skill

How to Use

[{"step":"Define the Scope","action":"Identify the specific workflow you want to automate (e.g., 'weekly sales report generation'). List all inputs, outputs, and dependencies. Use a tool like Miro or Lucidchart to map the process.","tip":"Start with a single-step automation (e.g., data extraction) before expanding to multi-step workflows."},{"step":"Design the Skill Architecture","action":"Use the prompt template to generate a detailed blueprint. Focus on error handling and performance requirements upfront. Save the output as `skill_spec.md` in your project directory.","tip":"Prioritize idempotency (running the skill multiple times produces the same result) to avoid duplicate work."},{"step":"Implement Core Logic","action":"Write the skill in your preferred language (Python recommended). Use the Claude Skills SDK (`pip install claude-skills`) to handle API interactions and state management. Start with a minimal viable version.","tip":"Use `logging` to track execution flow and errors. Example: `logging.basicConfig(filename='skill.log', level=logging.INFO)`."},{"step":"Test and Validate","action":"Run unit tests (e.g., `pytest`) and integration tests. Use mock data to simulate edge cases. Deploy to a staging Claude agent and test with real data.","tip":"Test failure scenarios (e.g., API downtime, invalid data) to ensure robust error handling."},{"step":"Deploy and Monitor","action":"Deploy the skill to your production Claude agent. Set up monitoring (e.g., Prometheus, Datadog) to track performance and errors. Schedule regular reviews to update the skill as workflows evolve.","tip":"Use Claude’s built-in analytics to track skill usage and identify bottlenecks."}]

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/sanshao85/claude-skills-guide

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

I need a comprehensive guide to developing a Claude Skill for [TASK/PROCESS]. Break this down into: 1) Core functionality requirements, 2) Input/output design for [TOOL/INTEGRATION], 3) Error handling for [COMMON FAILURE POINTS], 4) Performance optimization for [SCALABILITY NEEDS], and 5) Testing strategy for [VALIDATION CRITERIA]. Include code snippets using [PREFERRED_LANGUAGE] where applicable.

Example Output

### Claude Skill Development Guide: Automated Report Generator

#### **1. Core Functionality Requirements**
This skill will automate the generation of weekly sales performance reports by pulling data from Salesforce and HubSpot, merging it with internal KPIs, and delivering a formatted PDF to the operations team via Slack. Key requirements:
- Real-time data synchronization with both CRMs
- Conditional logic to flag deals >$50K that haven’t been updated in 7+ days
- Auto-email PDF reports to [EMAIL_LIST] every Monday at 8 AM
- Support for both JSON and CSV output formats

#### **2. Input/Output Design**
**Inputs:**
- Salesforce API: Query `Opportunity` object with fields `Id`, `Amount`, `CloseDate`, `LastModifiedDate`
- HubSpot API: Query `Deals` endpoint with properties `dealname`, `amount`, `createdate`, `hs_lastmodifieddate`
- Configuration file: `config.json` with Slack webhook URL, email list, and report preferences

**Outputs:**
- Primary: Slack message with download link to PDF report
- Secondary: JSON summary for dashboard integration
- Tertiary: Email attachment with formatted PDF

#### **3. Error Handling**
Critical failure points and mitigation strategies:
- **API Rate Limiting:** Implement exponential backoff with jitter (max 5 retries)
- **Data Mismatch:** Validate field types (e.g., `Amount` must be numeric) and log discrepancies
- **Template Errors:** Fallback to default template if custom template fails to load
- **Notification Failures:** Queue failed deliveries and retry 3x before logging to `error_log.txt`

#### **4. Performance Optimization**
- **Parallel Processing:** Use `asyncio` to fetch data from both CRMs simultaneously
- **Caching:** Store raw data for 1 hour to avoid redundant API calls
- **Memory Management:** Stream large datasets in chunks (1000 records at a time)
- **Batch Processing:** Process reports in batches of 50 to prevent timeouts

#### **5. Testing Strategy**
**Unit Tests:**
```python
# test_report_generator.py
def test_data_validation():
    mock_sf_data = [{"Id": "001", "Amount": "invalid"}]
    assert validate_salesforce_data(mock_sf_data) == False
```

**Integration Tests:**
- Mock API responses to test error handling
- Verify PDF generation with sample data
- Test Slack/email notifications with a sandbox environment

**Load Testing:**
- Simulate 100 concurrent report generations
- Measure memory usage and execution time

#### **Next Steps**
1. Clone the starter template from `claude-skills/report-generator-starter`
2. Configure `config.json` with your API credentials
3. Run `python -m pytest` to validate tests
4. Deploy to your Claude agent and test with a small dataset
5. Monitor performance for 1 week before full rollout