Antigravity Awesome Skills
Plugin-safe Claude Code distribution of Agentic Awesome Skills with 1,906 supported skills.
Skills in this plugin
279- ▌ Postman Openapi Converter · lingxlingConvert OpenAPI 3.x or Swagger 2.0 specs (YAML or JSON) into complete, import-ready Postman Collection v2.1 JSON files. Use this skill whenever the user provides or references an OpenAPI spec, Swagger file, openapi.yaml, swagger.json, or uses phrases like "convert my OpenAPI spec",...
- ▌ Resolving Merge Conflicts · lingxlingUse when you need to resolve an in-progress git merge/rebase conflict.
- ▌ Source Driven Development · lingxlingGrounds every implementation decision in official documentation. Use when you want authoritative, source-cited code free from outdated patterns. Use when building with any framework or library where correctness matters.
- ▌ Applicationinsights Web TS · lingxlingInstrument browser/web apps with the Application Insights JavaScript SDK (@microsoft/applicationinsights-web). Use for Real User Monitoring (RUM) — page views, clicks, AJAX/fetch dependencies, exceptions, custom events, and browser-side GenAI agent traces correlated to backend...
- ▌ Developer Audience Context · lingxling bundleWhen the user wants to establish or update their developer audience context. Also use when starting any other developer marketing skill to ensure foundational context is loaded. Trigger phrases include "developer persona," "target developers," "who are our developers," "developer...
- ▌ Hugging Face Model Trainer · lingxling bundleTrain or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs...
- ▌ Incremental Implementation · lingxlingDelivers changes incrementally. Use when implementing any feature or change that touches more than one file. Use when you're about to write a large amount of code at once, or when a task feels too big to land in one step.
- ▌ API Security Best Practices · lingxlingImplement secure API design patterns including authentication, authorization, input validation, rate limiting, and protection against common API vulnerabilities
- ▌ Git Workflow And Versioning · lingxlingStructures git workflow practices. Use when making any code change. Use when committing, branching, resolving conflicts, or when you need to organize work across multiple parallel streams.
- ▌ Hugging Face Vision Trainer · lingxling bundleTrains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs...
- ▌ Planning And Task Breakdown · lingxlingBreaks work into ordered tasks. Use when you have a spec or clear requirements and need to break work into implementable tasks. Use when a task feels too large to start, when you need to estimate scope, or when parallel work is possible.
- ▌ Review And Simplify Changes · lingxlingReview a git diff or explicit file scope for reuse, code quality, efficiency, clarity, and standards issues, then optionally apply safe Codex-driven fixes. Use when the user asks to "simplify code", "review changed code", "check for code reuse", "review code quality", "review...
- ▌ Train Sentence Transformers · lingxling bundleTrain or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder; dense or static embedding model; for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker; pair scoring for two-stage retrieval / pair...
- ▌ Debugging And Error Recovery · lingxlingGuides systematic root-cause debugging. Use when tests fail, builds break, behavior doesn't match expectations, or you encounter any unexpected error. Use when you need a systematic approach to finding and fixing the root cause rather than guessing.
- ▌ Hugging Face Community Evals · lingxling bundleRun evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing between vLLM / Transformers / accelerate. Not for HF Jobs orchestration, model-card PRs, .eval_results publication, or community-evals...
- ▌ Hugging Face Paper Publisher · lingxling bundlePublish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.
- ▌ Postman Collection Generator · lingxlingGenerate complete, import-ready Postman Collection v2.1 JSON files from natural language API descriptions or cURL commands. Use this skill whenever the user describes an API in plain English ("I have a REST API with these endpoints..."), pastes cURL commands, or asks to "create a...
- ▌ Privilege Escalation Methods · lingxlingProvide comprehensive techniques for escalating privileges from a low-privileged user to root/administrator access on compromised Linux and Windows systems. Essential for penetration testing post-exploitation phase and red team operations.
- ▌ Code Showcase Core Components · lingxlingCore component library and design system patterns. Use when building UI, using design tokens, or working with the component library.
- ▌ Frontend Optimistic Mutations · lingxlingA portable, framework-agnostic discipline for the write path of any React or React Native app using a query/cache layer. Codifies the optimistic-update lifecycle (cancel in-flight queries → snapshot every affected cache → patch instantly → roll back verbatim on error → invalidate on...
- ▌ Code Showcase Testing Patterns · lingxlingJest testing patterns, factory functions, mocking strategies, and TDD workflow. Use when writing unit tests, creating test factories, or following TDD red-green-refactor cycle.
- ▌ Huggingface Lora Space Builder · lingxling bundleBuild and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. Use when someone asks to create, generate, ship, or publish a Space, demo, Gradio app, or playground for a LoRA — including LoRAs for Qwen-Image, Qwen-Image-Edit, LTX-Video, Wan, FLUX, SDXL, or other...
- ▌ Monte Carlo Analyze Root Cause · lingxlingInvestigate data incidents and find root causes using Monte Carlo's observability data. Guides the agent through systematic investigation: alert lookup, lineage tracing, ETL checks, query analysis, and data profiling. Activates when a user asks about data issues, incidents, alerts, or...
- ▌ Monte Carlo Monitoring Advisor · lingxlingAnalyze data coverage, create monitors for warehouse tables and AI agents. Covers coverage gaps, use-case analysis, data monitor creation, and agent observability.
- ▌ Neon Postgres Egress Optimizer · lingxlingDiagnose and fix excessive Postgres egress (network data transfer) in a codebase. Use when a user mentions high database bills, unexpected data transfer costs, network transfer charges, egress spikes, "why is my Neon bill so high", "database costs jumped", SELECT * optimization, query...
- ▌ Test Framework Migration Skill · lingxlingMigrates and converts test automation scripts between Selenium, Playwright, Puppeteer, and Cypress. Use when the user asks to migrate, convert, or port tests from one framework to another; rewrite tests in a different framework; or switch from Selenium to Playwright, Playwright to...
- ▌ Code Showcase React UI Patterns · lingxlingModern React UI patterns for loading states, error handling, and data fetching. Use when building UI components, handling async data, or managing UI states.
- ▌ Frontend Slides Frontend Slides · lingxlingCreate stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration...
- ▌ Supabase Postgres Best Practices · lingxling bundlePostgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.
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- ▌ Monte Carlo Performance Diagnosis · lingxlingDiagnoses pipeline performance issues -- slow jobs, expensive queries, latency trends -- using Monte Carlo's cross-platform observability. Uses a tiered investigation approach: discover problems, bridge to affected tables, then drill into root causes. Activates when a user asks about...
- ▌ Monte Carlo Storage Cost Analysis · lingxlingAnalyze a warehouse for stale, unused, or redundant tables via the analyze_storage_costs MCP tool. Classifies waste patterns and table categories, computes safety tiers, and handles category drill-downs and lineage follow-ups.
- ▌ Observability And Instrumentation · lingxlingInstruments code so production behavior is visible and diagnosable. Use when adding logging, metrics, tracing, or alerting. Use when shipping any feature that runs in production and you need evidence it works. Use when production issues are reported but you can't tell what happened...
- ▌ Azure AI Language Conversations Py · lingxlingImplement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications.
- ▌ Code Showcase Systematic Debugging · lingxlingFour-phase debugging methodology with root cause analysis. Use when investigating bugs, fixing test failures, or troubleshooting unexpected behavior. Emphasizes NO FIXES WITHOUT ROOT CAUSE FIRST.
- ▌ Azure Resource Manager Mysql Dotnet · lingxlingAzure MySQL Flexible Server SDK for .NET. Database management for MySQL Flexible Server deployments.
- ▌ Azure Resource Manager Postgresql Dotnet · lingxlingAzure PostgreSQL Flexible Server SDK for .NET. Database management for PostgreSQL Flexible Server deployments.
- ▌ Mock Hunter · lingxlingAudit a live web page in five phases (catalog, click, trace, classify, report) to identify mock data, hardcoded values, LLM-generated metrics, and broken endpoints. Outputs a markdown report with REAL/MOCK/LLM/HARDCODED/BROKEN/UNKNOWN verdicts per visible value.
- ▌ Polis Protocol A Self Optimizing City Of Agents · lingxlingPolis Protocol: A Self-Optimizing City of Agents