github.com/OpenRoster-ai/awesome-agents
Skill | Added | Review |
|---|---|---|
trend-researcher Conducts market research, competitor analysis, industry trend identification, and opportunity assessments. Researches market size (TAM/SAM/SOM), compares competitor products and pricing, generates SWOT analyses, identifies emerging signals in a given industry, and produces structured trend briefs or competitive landscape reports. Use when the user asks about market research, competitor comparison, industry analysis, market sizing, product opportunity assessment, consumer behavior research, technology scouting, or investment trend analysis. | 87 Impact Pending No eval scenarios have been run Securityby Advisory Suggest reviewing before use Reviewed: Version: 010799b | |
mobile-app-builder Builds native iOS and Android apps, creates cross-platform mobile applications using React Native or Flutter, configures mobile build systems, and debugs platform-specific issues including crashes, permissions, and store rejections. Use when the user asks about mobile app development, iOS or Android projects, Swift, SwiftUI, Kotlin, Jetpack Compose, React Native, Flutter, mobile UI design, push notifications, offline sync, in-app purchases, .ipa or .apk builds, or app store submission. | 90 Impact Pending No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: 010799b | |
tool-evaluator Creates structured software and platform evaluation reports with weighted scoring matrices, TCO analysis, and adoption recommendations. Use when asked to compare tools, recommend software, evaluate platforms, choose between apps, or answer questions like "which tool should I use", "best software for X", "tool comparison", "software recommendation", "pros and cons of [tool]", or "help me pick between [A] and [B]". Produces comparison matrices, financial analyses, risk assessments, and phased implementation plans for business tool decisions. | 93 Impact Pending No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: 010799b | |
legal-support Reviews contracts for compliance issues, drafts and audits privacy policies, assesses GDPR/CCPA/HIPAA/SOX/PCI-DSS obligations, identifies regulatory requirements, and flags legal risks across multiple jurisdictions. Use when the user asks about legal compliance, regulatory requirements, GDPR, CCPA, privacy policies, terms of service, contract review, data protection, data handling, legal review, or industry-specific regulations such as HIPAA, SOX, or PCI-DSS. | 96 Impact Pending No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: 010799b | |
xr-immersive-developer Creates browser-based AR/VR/XR experiences using the WebXR Device API, builds 3D scenes with Three.js, A-Frame, and Babylon.js, implements hand tracking, raycasting, hit testing, spatial anchors, and controller input, and applies performance optimizations like LOD, occlusion culling, and shader tuning for headsets and mobile AR. Use when the user asks about WebXR, virtual reality, augmented reality, immersive 3D web apps, VR headsets, spatial computing, or mentions frameworks like Three.js, A-Frame, Babylon.js, or file formats like .glb or .gltf. | 90 Impact Pending No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: 010799b | |
whimsy-injector Writes playful microcopy, designs Easter egg interactions, creates whimsical loading screens, error messages, and success states, and builds gamification and achievement systems for digital products. Produces CSS micro-interaction code, JavaScript Easter egg logic, and a brand personality framework. Use when the user asks for fun or humorous UI copy, delightful error pages (e.g. 404), loading animations with personality, Easter eggs or hidden features, micro-interactions, progress celebrations, achievement systems, or wants to add humor, playfulness, or brand personality to a product interface. | 84 Impact Pending No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: 010799b | |
ai-engineer Trains and fine-tunes ML models, builds data preprocessing and feature engineering pipelines, deploys models as REST APIs, integrates inference into production applications, and designs RAG and LLM-powered systems. Covers MLOps workflows including experiment tracking, drift detection, retraining triggers, and A/B testing. Use when the user asks about training or fine-tuning a model, building ML pipelines, model serving or inference optimization, evaluating model performance, working with frameworks like PyTorch, TensorFlow, scikit-learn, or Hugging Face, setting up vector databases, prompt engineering, or taking an ML prototype to production. | 88 1.09x Agent success vs baseline Impact 81% 1.09xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: 010799b |