27 boosters for "recommendations" — open source, verified from GitHub, ready to install
A systematic paid media auditor agent that evaluates Google Ads, Microsoft Ads, and Meta accounts across 200+ checkpoints to identify inefficiencies, optimization gaps, and cost-saving opportunities. Ideal for marketing teams, agencies, and businesses seeking data-driven insights into ad spend performance.
Feedback Synthesizer is an agent that collects and analyzes user feedback from multiple channels to extract actionable product insights and prioritization recommendations. Product managers, designers, and engineering teams benefit from converting qualitative feedback into data-driven strategic decisions.
This skill delegates to the formula, which lives at across all Gas Town rigs (gastown, beads, etc.). This rig (gastown/crew/max) is responsible for steveyegge/gastown only.
An audit skill that systematically evaluates interface quality across accessibility, performance, theming, and responsive design, generating prioritized reports with severity ratings and actionable recommendations. Ideal for developers and QA teams seeking to identify and document UI/UX issues before fixes are implemented.
Finds the best models for a task by querying official HF benchmark leaderboards, enriching results with model size data, filtering for what fits on the user's device, and returning a comparison table with benchmark scores.
Build and publish a Gradio demo on Hugging Face Spaces that runs inference with a user-provided LoRA. Use whenever someone asks to create, generate, ship, or publish "a Space", "a demo", "a Gradio app", or "a playground" for a LoRA — whether the base model is Qwen-Image, Qwen-Image-Edit, LTX, or ano
This skill helps you systematically assess where Bitcoin sits in its market cycle — from extreme fear (accumulation opportunity) to extreme greed (distribution/exit signal). Through a weighted evaluation of 13 on-chain, sentiment, and market indicators, it produces a 0-100 Market Heat Score and acti
"name": "claude-equity-research-marketplace", "name": "quant-sentiment-ai", "email": "quant.sentiment.ai@gmail.com"
A specialized diagnostic tool for data engineers to systematically investigate Airflow DAG failures, identify root causes, and implement prevention strategies. Ideal for complex pipeline debugging scenarios requiring deep analysis beyond basic log inspection.
Code A2Z is a collaborative blogging platform built as a monorepo with separate client and server applications. Contributors can create, manage, and share blog posts about their projects with markdown support, customizable templates, and role-based access control. Each feature module follows this pa
Analyze, review, and provide recommendations for distributed system designs. Use when: (1) Reviewing existing system architectures for gaps or improvements, (2) Analyzing system designs for scalability, reliability, or performance issues, (3) Providing recommendations on load balancing, caching, databases, sharding, replication, messaging, rate limiting, authentication, resilience, or monitoring, (4) Assessing trade-offs in system design decisions, (5) Creating system design review documents with gaps and recommendations. Triggers: "review my system design", "analyze this architecture", "what are the gaps", "system design recommendations", "scalability review", "reliability analysis".
Turn social media paper recommendations into actionable research items. Use platform-specific tools to fetch the full content: From the extracted content, identify all referenced papers:
Search academic papers via the Semantic Scholar API using a structured 4-phase workflow. Parse the user's intent and choose a search strategy: Write ONE Python script. Example:
Skill Issue audits installed agent skills to provide health reports including inventory, usage tracking, version checks, and actionable recommendations. Essential for agents managing multiple skills who need visibility into ecosystem health and dependency status.
This sub-skill generates a complete email marketing strategy tailored to your business type, including: Invoked by from the main email skill. First, check if exists and contains business type. If not, analyze context signals:
Reviews email content before sending and provides a comprehensive quality score (0-100) across 5 weighted dimensions. Identifies critical issues, suggests improvements, and provides a rewritten version for low-scoring emails. Accept email content in any of these formats: 1. Pasted text - Subject lin
Generate professional, high-converting email copy using proven copywriting frameworks. Produces subject line variants with scoring, responsive HTML templates with dark mode support, plain-text fallback, and preheader recommendations. This sub-skill is invoked by the main skill when the user needs t
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "tasteray-skills", "description": "Psychological profiling skills for natural conversation using research-backed techniques",
Tool-evaluator is an agent that rapidly assesses development tools, frameworks, and services through structured benchmarking and comparative analysis to support informed technology adoption decisions. It benefits engineering teams and tech leads evaluating new solutions aligned with studio goals.
"name": "algolia-skills", "email": "support@algolia.com" "description": "Skills for interacting with Algolia search and analytics through MCP",
"name": "clirank-mcp-server", "description": "MCP server for API discovery and recommendations: help Claude Code, Codex, Cursor, Cline, and other coding agents choose APIs with current CLIRank data instead of stale model memory", "clirank-mcp-server": "./dist/index.js"
An MCP server that recommends relevant open-source projects to AI coding assistants like Claude, Copilot, and Cursor, helping developers discover and integrate useful libraries and tools into their workflows.
EROS is an AI specialist agent for designing behavior-based matching algorithms, LLM integration, and recommendation systems in dating applications. It helps backend, frontend, and database engineers implement ethical, explainable AI matching features.
A QA-focused agent that provides comprehensive code review, testing strategy design, and quality assurance guidance for development teams. Ideal for developers and teams seeking to improve code quality, establish testing frameworks, and ensure professional coding standards.
