ReddRadar
Topic: claude-skills
11,948 skills in this topic.
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comparative-matrix
Generate structured comparisons and decision matrices across analyzed frameworks. Use when (1) comparing multiple frameworks or approaches side-by-side, (2) making architectural decisions between alternatives, (3) creating best-of-breed selection documentation, (4) synthesizing findings from multiple analysis skills into actionable decisions, or (5) producing recommendation reports for technical stakeholders.
aiskillstore/marketplace 232
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component-model-analysis
Evaluate extensibility patterns, abstraction layers, and configuration approaches in frameworks. Use when (1) assessing base class/protocol design, (2) understanding dependency injection patterns, (3) evaluating plugin/extension systems, (4) comparing code-first vs config-first approaches, or (5) determining framework flexibility for customization.
aiskillstore/marketplace 232
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control-loop-extraction
Extract and analyze agent reasoning loops, step functions, and termination conditions. Use when needing to (1) understand how an agent framework implements reasoning (ReAct, Plan-and-Solve, Reflection, etc.), (2) locate the core decision-making logic, (3) analyze loop mechanics and termination conditions, (4) document the step-by-step execution flow of an agent, or (5) compare reasoning patterns across frameworks.
aiskillstore/marketplace 232
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data-substrate-analysis
Analyze fundamental data primitives, type systems, and state management patterns in a codebase. Use when (1) evaluating typing strategies (Pydantic vs TypedDict vs loose dicts), (2) assessing immutability and mutation patterns, (3) understanding serialization approaches, (4) documenting state shape and lifecycle, or (5) comparing data modeling approaches across frameworks.
aiskillstore/marketplace 232
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execution-engine-analysis
Analyze control flow, concurrency models, and event architectures in agent frameworks. Use when (1) understanding async vs sync execution patterns, (2) classifying execution topology (DAG/FSM/Linear), (3) mapping event emission and observability hooks, (4) evaluating scalability characteristics, or (5) comparing execution models across frameworks.
aiskillstore/marketplace 232
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harness-model-protocol
Analyze the protocol layer between agent harness and LLM model. Use when (1) understanding message wire formats and API contracts, (2) examining tool call encoding/decoding mechanisms, (3) evaluating streaming protocols and partial response handling, (4) identifying agentic chat primitives (system prompts, scratchpads, interrupts), (5) comparing multi-provider abstraction strategies, or (6) understanding how frameworks translate between native LLM APIs and internal representations.
aiskillstore/marketplace 232
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memory-orchestration
Analyze context management, memory systems, and state continuity in agent frameworks. Use when (1) understanding how prompts are assembled, (2) evaluating eviction policies for context overflow, (3) mapping memory tiers (short-term/long-term), (4) analyzing token budget management, or (5) comparing context strategies across frameworks.
aiskillstore/marketplace 232
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multi-agent-analysis
Analyze coordination patterns, handoff mechanisms, and state sharing in multi-agent systems. Use when (1) understanding how agents transfer control, (2) evaluating shared vs isolated state patterns, (3) mapping communication protocols between agents, (4) assessing multi-agent orchestration approaches, or (5) comparing coordination models across frameworks.
aiskillstore/marketplace 232
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resilience-analysis
Assess error handling, isolation boundaries, and recovery mechanisms in agent frameworks. Use when (1) tracing error propagation paths, (2) evaluating sandboxing for code execution, (3) understanding retry and fallback mechanisms, (4) assessing production readiness, or (5) identifying failure modes and recovery patterns.
aiskillstore/marketplace 232
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tool-interface-analysis
Analyze tool registration, schema generation, and error feedback mechanisms in agent frameworks. Use when (1) understanding how tools are defined and registered, (2) evaluating schema generation approaches (introspection vs manual), (3) tracing error feedback loops to the LLM, (4) assessing retry and self-correction mechanisms, or (5) comparing tool interfaces across frameworks.
aiskillstore/marketplace 232
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homeassistant-config
Create and manage Home Assistant YAML configuration files including automations, scripts, templates, blueprints, Lovelace dashboards, and file organization. Use when working with Home Assistant configuration files (.yaml, .yml) or discussing HA automations, scripts, sensors, or dashboards.
aiskillstore/marketplace 232
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vue-best-practices
Vue 3 and Vue.js best practices for TypeScript, vue-tsc, and Volar. This skill should be used when writing, reviewing, or refactoring Vue components to ensure correct typing patterns. Triggers on tasks involving Vue components, props extraction, wrapper components, template type checking, or Volar configuration.
aiskillstore/marketplace 232
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vue-debug-guides
Vue 3 debugging and error handling for runtime errors, warnings, async failures, and SSR/hydration issues. Use when diagnosing or fixing Vue issues.
aiskillstore/marketplace 232
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agent-browser
Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet, record video
aiskillstore/marketplace 232
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agent-tools
Run 150+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok
aiskillstore/marketplace 232
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ai-image-generation
Generate AI images with FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: 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
aiskillstore/marketplace 232
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ai-video-generation
Generate AI videos with Google Veo, Seedance, Wan, Grok and 40+ models via inference.sh CLI. Models: Veo 3.1, Veo 3, Seedance 1.5 Pro, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo. Capabilities: text-to-video, image-to-video, 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
aiskillstore/marketplace 232
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remotion-render
Render videos from React/Remotion component code via inference.sh. Pass TSX code, get MP4. Supports all Remotion APIs: useCurrentFrame, useVideoConfig, spring, interpolate, AbsoluteFill, Sequence. Configurable resolution, FPS, duration, codec. Use for: programmatic video generation, animated graphics, motion design, data-driven videos, React animations to video. Triggers: remotion, render video from code, tsx to video, react video, programmatic video, remotion render, code to video, animated video, motion graphics code, react animation video
aiskillstore/marketplace 232
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twitter-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
aiskillstore/marketplace 232
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agent-ui
Batteries-included agent component for React/Next.js from ui.inference.sh.
One component with runtime, tools, streaming, approvals, and widgets built in.
Capabilities: drop-in agent, human-in-the-loop, client-side tools, form filling.
Use for: building AI chat interfaces, agentic UIs, SaaS copilots, assistants.
Triggers: agent component, agent ui, chat agent, shadcn agent, react agent,
agentic ui, ai assistant ui, copilot ui, inference ui, human in the loop
aiskillstore/marketplace 232
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agentic-browser
Browser automation for AI agents via inference.sh.
Navigate web pages, interact with elements using @e refs, take screenshots.
Capabilities: web scraping, form filling, clicking, typing, JavaScript execution.
Use for: web automation, data extraction, testing, agent browsing, research.
Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot,
browse web, playwright, headless browser, web agent, surf internet
aiskillstore/marketplace 232
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ai-automation-workflows
Build automated AI workflows combining multiple models and services.
Patterns: batch processing, scheduled tasks, event-driven pipelines, agent loops.
Tools: inference.sh CLI, bash scripting, Python SDK, webhook integration.
Use for: content automation, data processing, monitoring, scheduled generation.
Triggers: ai automation, workflow automation, batch processing, ai pipeline,
automated content, scheduled ai, ai cron, ai batch job, automated generation,
ai workflow, content at scale, automation script, ai orchestration
aiskillstore/marketplace 232
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ai-avatar-video
Create AI avatar and talking head videos with OmniHuman, Fabric, PixVerse via inference.sh CLI.
Models: OmniHuman 1.5, OmniHuman 1.0, Fabric 1.0, PixVerse Lipsync.
Capabilities: audio-driven avatars, lipsync videos, talking head generation, virtual presenters.
Use for: AI presenters, explainer videos, virtual influencers, dubbing, marketing videos.
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
aiskillstore/marketplace 232
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ai-content-pipeline
Build multi-step AI content creation pipelines combining image, video, audio, and text.
Workflow examples: generate image -> animate -> add voiceover -> merge with music.
Tools: FLUX, Veo, Kokoro TTS, OmniHuman, media merger, upscaling.
Use for: YouTube videos, social media content, marketing materials, automated content.
Triggers: content pipeline, ai workflow, content creation, multi-step ai,
content automation, ai video workflow, generate and edit, ai content factory,
automated content creation, ai production pipeline, media pipeline, content at scale
aiskillstore/marketplace 232