
Claude Skills by frank-luongt
github.com/frank-luongtAutomate Sentry error tracking and monitoring operations through Composio's Sentry toolkit via Rube MCP.
You are an **SEO diagnostic specialist**. Your role is to **identify, explain, and prioritize SEO issues** that affect organic visibility -- **not to implement fixes unless explicitly requested**. Your output must be **evidence-based, scoped, and actionable**. ---
Build AI agents that interact with ServiceNow for IT service management (ITSM), customer service (CSM), and HR service delivery using the Table API, Flow Designer, and Now Assist AI skills.
Create and resume from comprehensive handoff documents for seamless AI agent session transfers. Solves the critical problem of context exhaustion in long-running agent sessions.
High-performance serving framework for LLMs and VLMs with RadixAttention for automatic prefix caching.
You are a frontend engineer specialized in building applications with shadcn/ui—a collection of beautifully designed, accessible, and customizable components built with Radix UI or Base UI and Tailwind CSS. You help developers discover, integrate, and customize components following best practices.
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: sigma-rules-guide description: Sigma detection rule writing guide for threat detection across SIEM platforms tags: [detection, security] ---
Patterns for implementing efficient similarity search in production systems.
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: simpo description: SimPO simple preference optimization without reference models. Use when aligning models with a simpler alternative to DPO that doesn't require reference model. tags: [simpo, post-training, rl] ---
This skill provides guidance for creating effective skills.
Evaluate Agent Skill quality using an 8-dimension scoring framework. A Skill is a knowledge externalization mechanism, not a tutorial.
Comprehensive guide to running ML workloads across clouds with automatic cost optimization using SkyPilot.
Automate Slack workspace operations including messaging, search, channel management, and reaction workflows through Composio's Slack toolkit.
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: slack-bot-builder description: "Build Slack apps using the Bolt framework across Python, JavaScript, and Java. Covers Block Kit for rich UIs, interactive components, slash commands, event handling, OAuth installation flows, and Workflow Builder integration. Focus on best practices for production-ready Slack apps. Use when: slack bot, slack app, bolt framework, block kit, slash command." tags: [automation, integrations] ---
A toolkit providing utilities and knowledge for creating animated GIFs optimized for Slack.
slime is an LLM post-training framework from Tsinghua's THUDM team, powering GLM-4.5, GLM-4.6, and GLM-4.7. It connects Megatron-LM for training with SGLang for high-throughput rollout generation.
Framework for defining and implementing Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets.
Build AI agents that operate directly on Snowflake data using Cortex LLM functions, Cortex Analyst (text-to-SQL), and Cortex Search (RAG) -- with zero data movement.
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: soc2-controls description: SOC 2 Type II Trust Services Criteria reference for scoping, mapping controls, gathering evidence, and preparing for audit readiness. tags: [compliance, security] ---
Production patterns for optimizing Apache Spark jobs including partitioning strategies, memory management, shuffle optimization, and performance tuning.
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: speculative-decoding description: Speculative decoding acceleration for LLM inference. Use when speeding up autoregressive generation with draft models (Medusa, Lookahead). tags: [speculative-decoding, emerging, research, inference-speed] ---
Transform slow database queries into lightning-fast operations through systematic optimization, proper indexing, and query plan analysis.
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: sql-pro description: Master modern SQL with cloud-native databases, OLTP/OLAP tags: [data-engineering, sql] --- You are an expert SQL specialist mastering modern database systems, performance optimization, and advanced analytical techniques across cloud-native and hybrid OLTP/OLAP environments.
Comprehensive guide to generating images with Stable Diffusion using the HuggingFace Diffusers library.
A Power x Interest grid for identifying, categorizing, and managing stakeholders — with tailored communication strategies for each quadrant. ---
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: startup-analyst description: Expert startup business analyst specializing in market sizing, tags: [business, startup] ---
Generate a comprehensive, investor-ready business case document covering market opportunity, solution, competitive landscape, financial projections, team, risks, and funding ask for startup fundraising and strategic planning.
Create a comprehensive 3-5 year financial model with revenue projections, cost structure, headcount planning, cash flow analysis, and three-scenario modeling (conservative, base, optimistic) for startup financial planning and fundraising.
Generate a comprehensive market opportunity analysis for a startup, including Total Addressable Market (TAM), Serviceable Available Market (SAM), and Serviceable Obtainable Market (SOM) calculations using both bottom-up and top-down methodologies.
Build comprehensive 3-5 year financial models with revenue projections, cost structures, cash flow analysis, and scenario planning for early-stage startups.
Comprehensive guide to tracking, calculating, and optimizing key performance metrics for different startup business models from seed through Series A.
You are an **autonomous frontend builder** participating in an iterative site-building loop. Your goal is to generate a page using Stitch, integrate it into the site, and prepare instructions for the next iteration.
Systematic threat identification using the STRIDE methodology.
Automate Stripe payment operations through Composio's Stripe toolkit via Rube MCP.
You are a payments engineer who has processed billions in transactions. You've seen every edge case - declined cards, webhook failures, subscription nightmares, currency issues, refund fraud. You know that payments code must be bulletproof because errors cost real money. You're paranoid about race conditions, idempotency, and webhook verification.
Transform raw interview transcripts or notes into structured, actionable summaries that feed directly into Opportunity Solution Trees, PRDs, and product decisions. ---
Automate Supabase operations including database queries, table schema inspection, SQL execution, project and organization management, storage buckets, edge functions, and service health monitoring through Composio's Supabase toolkit.
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: swiftui-expert description: Write, review, or improve SwiftUI code following best practices for state management, view composition, performance, modern APIs, and Swift concurrency. Use when building new SwiftUI features, refactoring views, or adopting iOS 26+ Liquid Glass styling. tags: [swiftui, ios, apple] ---
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: systematic-debugging description: Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes tags: [debugging, tooling] ---
Build production-ready design systems with Tailwind CSS, including design tokens, component variants, responsive patterns, and accessibility.
> Modern utility-first CSS with CSS-native configuration.
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: tdd-orchestrator description: Master TDD orchestrator specializing in red-green-refactor tags: [tdd, testing] ---
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: tdd-workflows-tdd-cycle description: Use when working with tdd workflows tdd cycle tags: [testing, workflows] ---
def product_list(request): products = Product.objects.all() return JsonResponse({'products': list(products.values())}) class ProductListView(View): def get(self, request): products = Product.objects.all() return JsonResponse({'products': list(products.values())}) class ProductListView(ListView): model = Product context_object_name = 'products' ``` **Inline → Middleware → Service Layer:** ```javascript // Green Phase: Inline logic app.post('/api/users', (req, res) => { const user = { id: Date....
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: tdd-workflows-tdd-red description: Generate failing tests for the TDD red phase to define expected behavior and edge cases. tags: [testing, workflows] --- Write comprehensive failing tests following TDD red phase principles. [Extended thinking: Generates failing tests that properly define expected behavior using test-automator agent.]
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: tdd-workflows-tdd-refactor description: Use when working with tdd workflows tdd refactor tags: [testing, workflows] ---
Guide systematic technology selection using the STRIDE framework. Match evaluation rigor to decision reversibility.
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: tensorboard description: TensorBoard visualization toolkit for ML training monitoring. Use when visualizing training metrics, model graphs, or profiling GPU performance. tags: [tensorboard, mlops, experiment-tracking] ---
NVIDIA's open-source library for optimizing LLM inference with state-of-the-art performance on NVIDIA GPUs.
Comprehensive Terraform and OpenTofu guidance covering testing, modules, CI/CD, and production patterns. Based on terraform-best-practices.com and enterprise experience.