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Progressive Web App Builder

progressive-web-app

sickn33/antigravity-awesome-skills

Guides building Progressive Web Apps with manifests, service workers, caching strategies, offline fallbacks, and install prompt handling so web projects feel native, survive unreliable networks, and support add-to-home-screen workflows.

Host Header Injection Tests

testing-for-host-header-injection

mukul975/Anthropic-Cybersecurity-Skills

Guides penetration testers through systematic host header injection checks, covering password reset poisoning, cache poisoning, SSRF, virtual host routing, and connection-state attacks for web applications.

LLM Cost Optimizer

llm-cost-optimizer

alirezarezvani/claude-skills

LLM Cost Optimizer audits and redesigns LLM pipelines to cut API spend 40-80% without quality loss by routing workloads, caching prompts, controlling lengths, and monitoring token costs.

EVM Decimal Safety Guard

evm-token-decimals

affaan-m/everything-claude-code

Prevents silent decimal mismatches across EVM chains by querying runtime decimals, caching per chain/token, and normalizing balances for bots, dashboards, and DeFi tooling.

Go Performance Patterns

golang-performance

samber/cc-skills-golang

Provides Go performance optimization patterns, guiding engineers from profiling to targeted improvements across allocations, CPU, GC, caching, and hot paths when benchmarks reveal a bottleneck.

In-Memory Go Caching

golang-samber-hot

samber/cc-skills-golang

Guides Go engineers on adopting samber/hot for in-memory caching with eviction choices, TTL, loaders, sharding, stale-while-revalidate, missing-key caching, and Prometheus metrics to cut latency for high-frequency medium-to-low cardinality data.

Advanced Dataverse Python

dataverse-python-advanced-patterns

github/awesome-copilot

Produces production-ready Dataverse SDK code for Python, showcasing advanced error handling and retries, batch operations, OData query tuning, metadata lifecycle management, configuration/timeouts, cache invalidation, chunked file uploads, and Pandas integrations with references.

FlowStudio Governance Assistant

flowstudio-power-automate-governance

github/awesome-copilot

Govern Power Automate flows through the FlowStudio MCP cached store by classifying business impact, detecting orphaned resources, auditing connectors, enforcing compliance, managing notification rules, and writing governance metadata without Dataverse or the CoE Starter Kit.

Product-Led Growth Strategy Framework

gtm-product-led-growth

github/awesome-copilot

A comprehensive guide for optimizing business growth motions. This framework helps founders determine the optimal Go-To-Market (GTM) strategy—whether Product-Led Growth (PLG) or sales-led—and build systematic, measurable growth engines. It covers advanced topics like mapping the growth equation, analyzing channel economics (CAC/LTV), and optimizing time to first value to ensure scalable adoption.

FlowStudio Flow Monitoring

flowstudio-power-automate-monitoring

github/awesome-copilot

Tracks Power Automate flow health, failure rates, and tenant asset inventories via the FlowStudio MCP cached store, surfacing aggregated stats, per-run errors, maker activity, and Power Apps metadata without pressuring the live API.

Multi-Stage Dockerfile Best Practices

multi-stage-dockerfile

github/awesome-copilot

This guide provides comprehensive best practices for creating optimized, secure, and efficient multi-stage Dockerfiles. Learn how to separate build environments (builder stage) from minimal runtime environments, significantly reducing image size and attack surface. Topics covered include layer caching optimization, security hardening (non-root users), and using minimal base images for reproducible builds.

Generate Code Session Usage Reports

anthropics/claude-plugins-official

Analyzes and generates a self-contained, explorable HTML report detailing usage metrics for Claude Code sessions. It tracks token consumption (input/output), subagent usage, skill calls, and cache efficiency across specified time ranges. This tool helps developers visualize resource waste and pinpoint areas for workflow optimization, ensuring cost-effective and efficient AI development cycles.

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