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- Add 47 Agent Skills across 14 plugins following Anthropic's specification - Python (5): async patterns, testing, packaging, performance, UV package manager - JavaScript/TypeScript (4): advanced types, Node.js patterns, testing, modern JS - Kubernetes (4): manifests, Helm charts, GitOps, security policies - Cloud Infrastructure (4): Terraform, multi-cloud, hybrid networking, cost optimization - CI/CD (4): pipeline design, GitHub Actions, GitLab CI, secrets management - Backend (3): API design, architecture patterns, microservices - LLM Applications (4): LangChain, prompt engineering, RAG, evaluation - Blockchain/Web3 (4): DeFi protocols, NFT standards, Solidity security, Web3 testing - Framework Migration (4): React, Angular, database, dependency upgrades - Observability (4): Prometheus, Grafana, distributed tracing, SLO - Payment Processing (4): Stripe, PayPal, PCI compliance, billing - API Scaffolding (1): FastAPI templates - ML Operations (1): ML pipeline workflow - Security (1): SAST configuration - Restructure documentation into /docs directory - agent-skills.md: Complete guide to all 47 skills - agents.md: All 85 agents with model configuration - plugins.md: Complete catalog of 63 plugins - usage.md: Commands, workflows, and best practices - architecture.md: Design principles and patterns - Update README.md - Add Agent Skills banner announcement - Reduce length by ~75% with links to detailed docs - Add What's New section showcasing Agent Skills - Add Popular Use Cases with real examples - Improve navigation with Core Guides and Quick Links - Update marketplace.json with skills arrays for 14 plugins All 47 skills follow Agent Skills Specification: - Required YAML frontmatter (name, description) - Use when activation clauses - Progressive disclosure architecture - Under 1024 character descriptions
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3.2 KiB
Prompt Template Library
Classification Templates
Sentiment Analysis
Classify the sentiment of the following text as Positive, Negative, or Neutral.
Text: {text}
Sentiment:
Intent Detection
Determine the user's intent from the following message.
Possible intents: {intent_list}
Message: {message}
Intent:
Topic Classification
Classify the following article into one of these categories: {categories}
Article:
{article}
Category:
Extraction Templates
Named Entity Recognition
Extract all named entities from the text and categorize them.
Text: {text}
Entities (JSON format):
{
"persons": [],
"organizations": [],
"locations": [],
"dates": []
}
Structured Data Extraction
Extract structured information from the job posting.
Job Posting:
{posting}
Extracted Information (JSON):
{
"title": "",
"company": "",
"location": "",
"salary_range": "",
"requirements": [],
"responsibilities": []
}
Generation Templates
Email Generation
Write a professional {email_type} email.
To: {recipient}
Context: {context}
Key points to include:
{key_points}
Email:
Subject:
Body:
Code Generation
Generate {language} code for the following task:
Task: {task_description}
Requirements:
{requirements}
Include:
- Error handling
- Input validation
- Inline comments
Code:
Creative Writing
Write a {length}-word {style} story about {topic}.
Include these elements:
- {element_1}
- {element_2}
- {element_3}
Story:
Transformation Templates
Summarization
Summarize the following text in {num_sentences} sentences.
Text:
{text}
Summary:
Translation with Context
Translate the following {source_lang} text to {target_lang}.
Context: {context}
Tone: {tone}
Text: {text}
Translation:
Format Conversion
Convert the following {source_format} to {target_format}.
Input:
{input_data}
Output ({target_format}):
Analysis Templates
Code Review
Review the following code for:
1. Bugs and errors
2. Performance issues
3. Security vulnerabilities
4. Best practice violations
Code:
{code}
Review:
SWOT Analysis
Conduct a SWOT analysis for: {subject}
Context: {context}
Analysis:
Strengths:
-
Weaknesses:
-
Opportunities:
-
Threats:
-
Question Answering Templates
RAG Template
Answer the question based on the provided context. If the context doesn't contain enough information, say so.
Context:
{context}
Question: {question}
Answer:
Multi-Turn Q&A
Previous conversation:
{conversation_history}
New question: {question}
Answer (continue naturally from conversation):
Specialized Templates
SQL Query Generation
Generate a SQL query for the following request.
Database schema:
{schema}
Request: {request}
SQL Query:
Regex Pattern Creation
Create a regex pattern to match: {requirement}
Test cases that should match:
{positive_examples}
Test cases that should NOT match:
{negative_examples}
Regex pattern:
API Documentation
Generate API documentation for this function:
Code:
{function_code}
Documentation (follow {doc_format} format):