Top Agent Skills

Create platform-specific video ads for TikTok, Instagram, YouTube, Facebook, and LinkedIn with exact specs, AIDA framework, and caption requirements.

Upscale and enhance images using Real-ESRGAN, Thera, FLUX Upscaler, and Topaz via the inference.sh CLI.

Render videos from React/Remotion component code via inference.sh CLI. Pass TSX code, get MP4 output with configurable resolution, FPS, duration, and codec.

Generate natural AI voices, text-to-speech, and voice synthesis using the inference.sh CLI with models like Inworld TTS, ElevenLabs, and Kokoro TTS for voiceovers, audiobooks, podcasts, and more.

Generate original music from text prompts using ElevenLabs AI, with control over genre, mood, instruments, and duration up to 10 minutes.

Generate images with Alibaba Qwen-Image-2.0-Pro via inference.sh CLI, with professional text rendering and fine-grained realism for posters, banners, and text-heavy designs.

Discover and install complementary skills from the inference.sh registry to expand AI agent capabilities.

Translate and dub audio/video into 29 languages while preserving speaker voice using the inference.sh CLI.

Create data-backed customer personas with market research, demographics, psychographics, jobs-to-be-done, journey mapping, and avatar generation.

Generate music and songs using ElevenLabs, Diffrythm, and Tencent Song Generation models via the inference.sh CLI.

Generate images with 50+ AI models including GPT-Image-2, FLUX, Gemini, Grok, Seedream, and Reve via the inference.sh CLI.

Automate Twitter/X actions including posting, liking, retweeting, following, and sending DMs via the inference.sh CLI.

Generate professional product images for e-commerce, including hero shots, packshots, lifestyle scenes, and detail close-ups using AI via the inference.sh CLI.

Write changelogs and release notes that users actually read, with guidance on categorization, user-facing language, visuals, and distribution.

Write compelling B2B case studies using the STAR framework, with research, data visualization, and distribution formats.

Build multi-step AI content creation pipelines combining image, video, audio, and text using the inference.sh CLI.

Repurpose long-form content into multiple formats including social media posts, newsletters, videos, and quote cards using the inference.sh CLI.

Optimize Product Hunt launches with research, gallery image generation, and a day-of playbook.

Create app store screenshots and preview videos for Apple App Store and Google Play with exact platform specs, device mockups, and gallery ordering guidance.

Generate professional product photography and commercial images using AI models like FLUX, Imagen 3, and Seedream via the inference.sh CLI.

Design high-engagement multi-slide carousels for Instagram, LinkedIn, and Twitter/X with layout rules, text hierarchy, swipe psychology, and platform-specific specs.

Create talking head videos with AI avatars, lipsync, and voiceover using the inference.sh CLI.

Write professional press releases in AP style with inverted pyramid structure, including formatting, datelines, quotes, boilerplates, and fact-checking via the inference.sh CLI.

Generate AI sound effects from text descriptions using the inference.sh CLI, with control over duration and prompt influence.

Transform any voice into a different voice while preserving speech content and emotion using the inference.sh CLI and ElevenLabs models.

Write high-engagement Twitter/X threads with hook tweets, structured content, media attachments, and posting strategies.

Write developer-focused technical blog posts with structured templates, code formatting rules, and audience-specific guidance for tutorials, deep dives, postmortems, and architecture posts.

Remove background noise and isolate vocals from audio files using the inference.sh CLI and ElevenLabs voice isolator.

Build automated AI workflows combining multiple models and services for batch processing, scheduled tasks, event-driven pipelines, and agent loops using the inference.sh CLI.

Prioritize stakeholders using two complementary grids to set engagement strategy and surface whose voice needs elevating.

Guide product managers through discovering and articulating product positioning by asking adaptive questions about target customers, unmet needs, product category, benefits, and competitive differentiation.

Guide product managers through breaking down epics into user stories using the Humanizing Work methodology with 9 splitting patterns.

Plan customer discovery interviews with the right goal, segment, constraints, and method for problem validation, churn research, or new product ideas.

Identify what to measure, test, or track to de-risk a product or AI idea across internal and external risk dimensions.

Design multi-agent AI workflows with clear boundaries, handoffs, and monitoring for complex product management tasks.

Assess whether your product work is AI-first or AI-shaped, evaluate maturity across five key competencies, and get recommendations on which capability to build next.

Diagnose whether an AI workflow suffers from context stuffing or benefits from context engineering, and apply structured techniques to improve reliability.

Deploy Meta's LlamaGuard moderation model to filter LLM inputs and outputs across 6 safety categories using HuggingFace, vLLM, or FastAPI.

Detect prompt injections and jailbreak attempts in LLM applications using Meta's 86M parameter classifier. Filter user inputs, third-party data, and RAG documents with low latency and multilingual support.

Train AI models to be harmless through self-critique and AI feedback using a set of constitutional principles, without requiring human labels for harmful outputs.

Capture and organize general facts about the user by topic, such as preferences, background, and goals, to personalize interactions.

Audit and fix animation performance issues including layout thrashing, compositor properties, scroll-linked motion, and blur effects.

Manage Convex table retention policies, TTL fields, cleanup crons, and schema classification for ClawHub.

Designs efficient design team workflows covering task management, collaboration rituals, communication norms, tooling, and design-development collaboration.

Synthesize user research into a 4-quadrant empathy map (Says, Thinks, Does, Feels) to capture and share user understanding across a team.

Write clear, helpful UI copy including microcopy, error messages, empty states, and CTAs that guide users and reinforce product voice.

Translate design decisions into business value by reading financials, mapping competitive landscapes, and defending design work in ROI terms.

Apply Fitts's Law to size and position interactive targets for fast, accurate interaction.

Reduce decision time and cognitive burden by limiting the number and complexity of simultaneous choices in user interfaces.

Plan and govern product content: audit existing material, define content models, establish voice and tone, and set ownership workflows.

Plan and facilitate design sprints from challenge framing through prototype testing, using a structured 5-day process with variations for mini, remote, and discovery sprints.

Design surveys that collect reliable, unbiased quantitative data to validate hypotheses and measure user attitudes at scale.

Design forms that minimize friction, prevent errors, and guide users to successful completion.

Audits colour decisions on a screen for contrast ratios, palette coherence, semantic meaning, and accessibility, flagging deviations and recommending specific corrections.

Map user Jobs-to-Be-Done with functional, emotional, and social dimensions plus outcome expectations to reframe product decisions around user motivations.

Organize qualitative research data into an affinity diagram with themes, clusters, and insight statements.

Design a diary study plan with prompts, duration, participant criteria, and analysis framework to understand user behavior over time in natural contexts.

Create structured user interview scripts with warm-up, core exploration, and wrap-up sections for qualitative research.

Design loading, skeleton, and progressive content reveal patterns that maintain user confidence and perceived performance.

Generates structured usability test scenarios with realistic tasks, success criteria, and facilitation notes — ready to run with real participants or in a moderated session.