RADAR SKILLI · GITHUB
Przydatne Agent Skills, ocenione według realnego użycia.
Porównuj zweryfikowane Skills: ich zastosowanie, zawartość pakietu, liczbę instalacji i wiarygodność źródła.
- ZAKRES KATALOGU
- ZWERYFIKOWANE
- Skills
- 1033
- repozytoria
- 142
- ostatnia synchronizacja
- 31 sie 2026
microsoftazure-resource-visualizer
Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing the relationships between individual resources. WHEN: create architecture diagram, visualize Azure resources, show resource relationships, generate Mermaid diagram, analyze resource group, diagram my resources, architecture visualization, resource topology, map Azure infrastructure.
- instalacje
- 552,5 tys.
- GitHub Stars
- 1,4 tys.
- Aktualizacja
- 31 sie
microsoftazure-resource-lookup
List, find, and show Azure resources across subscriptions or resource groups. Handles prompts like \"list the websites in my subscription\", \"list my web apps\", \"show my app services\", \"list virtual machines\", \"list my VMs\", \"show storage accounts\", \"find container apps\", and \"what resources do I have\". USE FOR: list websites, list web apps, list app services, show websites in subscription, resource inventory, find resources by tag, tag analysis, orphaned resource discovery (not for cost analysis), unattached disks, count resources by type, cross-subscription lookup, and Azure Resource Graph queries. DO NOT USE FOR: deploying/changing resources (use azure-deploy), cost optimization (use azure-cost), or non-Azure clouds.
- instalacje
- 552,5 tys.
- GitHub Stars
- 1,4 tys.
- Aktualizacja
- 31 sie
microsoftazure-compliance
Run Azure compliance and security audits with azqr plus Key Vault expiration checks. Covers best-practice assessment, resource review, policy/compliance validation, and security posture checks. WHEN: compliance scan, security audit, BEFORE running azqr (compliance cli tool), Azure best practices, Key Vault expiration check, expired certificates, expiring secrets, orphaned resources, compliance assessment.
- instalacje
- 552,4 tys.
- GitHub Stars
- 1,4 tys.
- Aktualizacja
- 31 sie
microsoftazure-aigateway
Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway.
- instalacje
- 552,3 tys.
- GitHub Stars
- 1,4 tys.
- Aktualizacja
- 31 sie
microsoftazure-kusto
Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis. WHEN: KQL queries, Kusto database queries, Azure Data Explorer, ADX clusters, log analytics, time series data, IoT telemetry, anomaly detection.
- instalacje
- 552,2 tys.
- GitHub Stars
- 1,4 tys.
- Aktualizacja
- 31 sie
microsoftazure-messaging
Troubleshoot and resolve issues with Azure Messaging SDKs for Event Hubs and Service Bus. Covers connection failures, authentication errors, message processing issues, and SDK configuration problems. WHEN: event hub SDK error, service bus SDK issue, messaging connection failure, AMQP error, event processor host issue, message lock lost, message lock expired, lock renewal, lock renewal batch, send timeout, receiver disconnected, SDK troubleshooting, azure messaging SDK, event hub consumer, service bus queue issue, topic subscription error, enable logging event hub, service bus logging, eventhub python, servicebus java, eventhub javascript, servicebus dotnet, event hub checkpoint, event hub not receiving messages, service bus dead letter, batch processing lock, session lock expired, idle timeout, connection inactive, link detach, slow reconnect, session error, duplicate events, offset reset, receive batch.
- instalacje
- 541,9 tys.
- GitHub Stars
- 1,4 tys.
- Aktualizacja
- 31 sie
mattpocockdomain-modeling
Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a CONTEXT.md, or recording or editing an ADR.
- instalacje
- 533,3 tys.
- GitHub Stars
- 242,4 tys.
- Aktualizacja
- 24 sie
mattpocockcodebase-design
Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
- instalacje
- 517,4 tys.
- GitHub Stars
- 242,4 tys.
- Aktualizacja
- 24 sie
mattpocockdiagnosing-bugs
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
- instalacje
- 509,4 tys.
- GitHub Stars
- 242,4 tys.
- Aktualizacja
- 24 sie
remotion-devremotion-best-practices
Router for all Remotion skills
- instalacje
- 502,9 tys.
- GitHub Stars
- 4,4 tys.
- Aktualizacja
- 31 sie
microsoftazure-compute
Azure VM/VMSS router. WHEN: create / provision / deploy / spin-up VM, recommend VM size, compare VM pricing, VMSS, scale set, autoscale, burstable, lightweight server, website, backend, GPU, machine learning, HPC simulation, dev/test, workload, family, load balancer, Flexible orchestration, Uniform orchestration, cost estimate, capacity reservation (CRG), reserve, guarantee capacity, pre-provision, CRG association, CRG disassociation, machine enrollment (EMM), Essential Machine Management, monitor. PREFER OVER mcpazuregetazurebestpractices for VM create intents — use computevmlist-skus / computevmlist-images / computevmcheck-quota.
- instalacje
- 496 tys.
- GitHub Stars
- 1,4 tys.
- Aktualizacja
- 31 sie
microsoftazure-cloud-migrate
Assess and migrate cross-cloud workloads to Azure with reports and code conversion. Supports Lambda→Functions, Beanstalk/Heroku/App Engine→App Service, Fargate/Kubernetes/Cloud Run/Spring Boot→Container Apps. WHEN: migrate Lambda to Functions, AWS to Azure, migrate Beanstalk, migrate Heroku, migrate App Engine, Cloud Run migration, Fargate to ACA, ECS/Kubernetes/GKE/EKS to Container Apps, Spring Boot to Container Apps, cross-cloud migration.
- instalacje
- 486 tys.
- GitHub Stars
- 1,4 tys.
- Aktualizacja
- 31 sie
skills-101ai-video-generation
Generate AI videos with Google Veo, Seedance 2.0, HappyHorse, Wan, Grok and 40+ models via inference.sh CLI. Models: Veo 3.1, Veo 3, Seedance 2.0, HappyHorse 1.0, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo. Capabilities: text-to-video, image-to-video, reference-to-video, video editing, lipsync, avatar animation, video upscaling, foley sound. Use for: social media videos, marketing content, explainer videos, product demos, AI avatars. Triggers: video generation, ai video, text to video, image to video, veo, animate image, video from image, ai animation, video generator, generate video, t2v, i2v, ai video maker, create video with ai, runway alternative, pika alternative, sora alternative, kling alternative, seedance, happyhorse
- instalacje
- 478,4 tys.
- GitHub Stars
- 11
- Aktualizacja
- 3 sie
skills-101ai-image-generation
Generate AI images with GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: GPT-Image-2, FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Capabilities: text-to-image, image-to-image, inpainting, LoRA, image editing, upscaling, text rendering. Use for: AI art, product mockups, concept art, social media graphics, marketing visuals, illustrations. Triggers: flux, image generation, ai image, text to image, stable diffusion, generate image, ai art, midjourney alternative, dall-e alternative, text2img, t2i, image generator, ai picture, create image with ai, generative ai, ai illustration, grok image, gemini image, gpt image, openai image, chatgpt image
- instalacje
- 477,9 tys.
- GitHub Stars
- 11
- Aktualizacja
- 3 sie
skills-101ai-avatar-video
Create AI avatar and talking head videos via inference.sh CLI. Recommended: P-Video-Avatar (fastest, cheapest, built-in TTS). Also: OmniHuman, Fabric, PixVerse. Audio: Inworld TTS-2 (100+ languages, emotion steering for characters), ElevenLabs, Kokoro. Capabilities: audio-driven avatars, text-to-avatar, lipsync videos, talking head generation, virtual presenters, UGC content. Use for: AI presenters, explainer videos, virtual influencers, dubbing, marketing videos, UGC ads, gaming avatars, NPC dialogue. Triggers: ai avatar, talking head, lipsync, avatar video, virtual presenter, ai spokesperson, audio driven video, heygen alternative, synthesia alternative, talking avatar, lip sync, video avatar, ai presenter, digital human, ugc, ugc video, ugc ad, avatar ugc
- instalacje
- 477,8 tys.
- GitHub Stars
- 11
- Aktualizacja
- 3 sie
skills-101twitter-automation
Automate Twitter/X with posting, engagement, and user management via inference.sh CLI. Apps: x/post-tweet, x/post-create (with media), x/post-like, x/post-retweet, x/dm-send, x/user-follow. Capabilities: post tweets, schedule content, like posts, retweet, send DMs, follow users, get profiles. Use for: social media automation, content scheduling, engagement bots, audience growth, X API. Triggers: twitter api, x api, tweet automation, post to twitter, twitter bot, social media automation, x automation, tweet scheduler, twitter integration, post tweet, twitter post, x post, send tweet
- instalacje
- 477,7 tys.
- GitHub Stars
- 11
- Aktualizacja
- 3 sie
mattpocockask-matt
Ask which skill or flow fits your situation. A router over the skills in this repo.
- instalacje
- 471,1 tys.
- GitHub Stars
- 242,4 tys.
- Aktualizacja
- 24 sie
juliusbrusseecaveman
Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".
- instalacje
- 469,3 tys.
- GitHub Stars
- 102 tys.
- Aktualizacja
- 29 sie
mattpocockimplement
Implement a piece of work based on a spec or set of tickets.
- instalacje
- 463,3 tys.
- GitHub Stars
- 242,4 tys.
- Aktualizacja
- 24 sie
heygen-comhyperframes-cli
Use the HyperFrames CLI development loop: init, add, catalog, capture, lint, check, snapshot, compare, grade-compare, preview, play, present, beats, keyframes, single or batch render, publish, cloud, cloudrun, feedback, lambda, doctor, browser, info, upgrade, skills, compositions, docs, benchmark, telemetry, transcribe, auth, tts, and remove-background. Also use when diagnosing build or render failures. validate, inspect, and layout are deprecated aliases; use check. Covers local, HeyGen-hosted cloud, AWS Lambda, and Google Cloud Run rendering.
- instalacje
- 460,5 tys.
- GitHub Stars
- 43,3 tys.
- Aktualizacja
- 31 sie
mattpocockcode-review
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to \"review since X\".
- instalacje
- 451,4 tys.
- GitHub Stars
- 242,4 tys.
- Aktualizacja
- 24 sie
lllllllamapaper-context-resolver
Rigor Paper Context helper for README-first deep learning repo reproduction. Use only when the README and repository files leave a narrow reproduction-critical gap and the task is to resolve a specific paper detail such as dataset split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumption from primary paper sources while recording conflicts. Do not use for general paper summary, repo scanning, environment setup, command execution, title-only paper lookup, or replacing README guidance by default.
- instalacje
- 450,8 tys.
- GitHub Stars
- 480
- Aktualizacja
- 26 lip
lllllllamarepo-intake-and-plan
Rigor Intake helper for README-first deep learning repo reproduction. Use when the task is specifically to scan a repository, read the README and common project files, extract documented commands, classify inference, evaluation, and training candidates, and return the smallest trustworthy reproduction plan to the main orchestrator. Do not use for environment setup, asset download, command execution, final reporting, paper lookup, or end-to-end orchestration.
- instalacje
- 450 tys.
- GitHub Stars
- 480
- Aktualizacja
- 26 lip
lllllllamaminimal-run-and-audit
Rigor Run skill for README-first deep learning repo reproduction. Use when the task is specifically to capture or normalize evidence from the selected smoke test or documented inference or evaluation command and write standardized reprooutputs/ files, including patch notes when repository files changed. Do not use for training execution, initial repo intake, generic environment setup, paper lookup, target selection, hidden scientific-meaning changes, or end-to-end orchestration by itself.
- instalacje
- 450 tys.
- GitHub Stars
- 480
- Aktualizacja
- 26 lip