claude-skills-supercharged

🥈Silver

Claude Skills Supercharged enhances workflow automation by integrating Haiku prompt analysis and critical skill scoring. It benefits operations teams by enabling context-driven, friction-free workflows. The skill connects to Claude agents and TypeScript-based systems, improving efficiency in automated processes.

3740Updated 1mo ago

Intermediate30min to implementautomation

Saves ~20 min per use

Quick InstallView Source

git clone https://github.com/jefflester/claude-skills-supercharged.git

Works with:

Claude

Overview

About This Skill

How to Use

["1. **Prepare Your Workflow Data**\n - Gather current workflow metrics (processing times, error rates, manual intervention points)\n - Export your Haiku prompt templates and TypeScript automation scripts\n - Identify the specific workflow you want to analyze (e.g., 'customer onboarding', 'invoice processing')\n\n2. **Run the Analysis**\n - Paste the prompt template into your AI assistant (Claude/ChatGPT)\n - Fill in [WORKFLOW_NAME], [COMPANY], and other placeholders with your specific data\n - Request the AI to include critical skill scoring and TypeScript remediation scripts\n\n3. **Evaluate Results**\n - Review the efficiency scores and bottleneck analysis\n - Assess the proposed TypeScript scripts for integration compatibility\n - Calculate potential time savings using the provided estimates\n\n4. **Prioritize Changes**\n - Sort remediations by critical skill score (highest first)\n - Identify quick wins (high score, low implementation effort)\n - Plan phased deployment based on complexity and impact\n\n5. **Implement and Monitor**\n - Start with the highest-impact remediation\n - Use the provided scripts as starting points for your development team\n - Track efficiency improvements weekly using the same metrics","Tip: For better results, include your actual workflow documentation or screenshots of your current process. The AI can analyze these to provide more accurate bottleneck identification.","Tip: When requesting TypeScript scripts, specify if you need them to work with specific libraries (e.g., Axios, Express) or frameworks (e.g., NestJS, Next.js) to ensure compatibility.","Tip: Use the critical skill scoring to justify automation projects to stakeholders by quantifying both impact and implementation complexity."]

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/jefflester/claude-skills-supercharged

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

Analyze the [WORKFLOW_NAME] workflow for [COMPANY] using Claude Skills Supercharged. Evaluate the current automation efficiency score and identify the top 3 bottlenecks causing friction. For each bottleneck, provide a TypeScript-based remediation script that integrates with the existing Haiku prompt system. Include critical skill scoring for the proposed changes and estimate the time saved per week in hours.

Example Output

### Workflow Analysis: Customer Onboarding Automation

**Current State:**
The customer onboarding workflow at Acme Corp processes 150 new accounts weekly with a 42% automation efficiency score. The primary bottlenecks are:
1. **Manual document verification** (3.2 hours/day) - 12% efficiency loss
2. **API rate limiting** (1.8 hours/day) - 7% efficiency loss
3. **Approval chain delays** (2.5 hours/day) - 9% efficiency loss

**Critical Skill Scoring:**
- Document verification automation: 8.7/10 (High impact, low complexity)
- API optimization: 7.9/10 (Medium impact, requires testing)
- Approval chain redesign: 9.1/10 (High impact, high complexity)

**Proposed Remediations:**
1. **TypeScript Script for Document Verification:**
```typescript
// Integrates with Haiku prompt system
const verifyDocuments = async (documents: Document[]) => {
  const aiAnalysis = await haiku.analyze({
    prompt: `Verify these documents for ${documents.length} new accounts`,
    documents,
    criteria: ['signature', 'date', 'completeness']
  });
  return aiAnalysis.results;
};
```
This reduces manual review time by 75% (2.4 hours/day saved).

2. **API Optimization Script:**
```typescript
// Implements exponential backoff
const processWithBackoff = async (tasks: Task[]) => {
  const results = await pRetry(async () => {
    return await api.processBatch(tasks);
  }, {
    retries: 5,
    minTimeout: 1000
  });
  return results;
};
```
Saves 1.5 hours/day by eliminating rate limit errors.

3. **Approval Chain Redesign:**
Implemented parallel approvals with conditional routing:
- Small accounts (<$10K): Auto-approved
- Medium accounts ($10K-$100K): Single approver
- Large accounts (>$100K): 2-step approval

**Expected Results:**
- New efficiency score: 78% (+36% improvement)
- Weekly time savings: 18.6 hours
- ROI: 3.2 weeks to implementation payback

**Next Steps:**
1. Deploy document verification script in staging (Week 1)
2. Test API optimization in production (Week 2)
3. Implement approval chain redesign (Week 3)
4. Monitor efficiency score for 2 weeks post-deployment