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rival-search - Claude Code Plugin | ClaudePluginHub

Plugin

rival-search

Name: rival-search
Author: damionrashford

By damionrashford

Elite research intelligence plugin powered by RivalSearchMCP. 10 research tools, 5 workflow skills, 6 specialist agents, portable hooks, zero API keys. Your AI research team.

npx claudepluginhub damionrashford/rivalsearch-plugin

Popularity

Stars

Above avg

Med: 0·Avg: 273

Installs

Med: 0·Avg: 1

What's Inside

Agents6

competitive-intel

/competitive-intel

Competitive intelligence specialist that analyzes companies, products, and market positions using RivalSearchMCP tools. Produces structured SWOT analyses and competitive landscape reports. Use proactively for competitor analysis and market positioning tasks.

content-strategist

/content-strategist

Content research and strategy specialist that analyzes content landscapes, identifies gaps, researches audience questions, and produces content briefs using RivalSearchMCP tools. Use when planning blog posts, whitepapers, social content, or any content strategy research.

due-diligence

/due-diligence

Due diligence research specialist that conducts comprehensive investigation of companies for investment, partnership, acquisition, or vendor evaluation using RivalSearchMCP tools. Produces structured due diligence reports with risk assessments. Use when evaluating companies for business decisions.

fact-checker

/fact-checker

Fact verification specialist that cross-references claims across web, news, academic, and social sources using RivalSearchMCP tools. Produces confidence-scored verdicts with full evidence chains. Use when verifying claims, checking statements, or validating information accuracy.

research-analyst

/research-analyst

Deep research specialist that autonomously conducts multi-source investigations using RivalSearchMCP tools. Searches the web, social platforms, news, academic databases, and GitHub to produce comprehensive research reports. Use proactively for any research task.

Skills5

competitive-intel

/competitive-intel

Competitive intelligence for companies, products, markets, or websites. Maps sites, analyzes products and pricing, tracks news and sentiment, profiles the competitive landscape, and produces SWOT analysis. Use when analyzing competitors, evaluating markets, or auditing web presence.

due-diligence

/due-diligence

Comprehensive due diligence on companies or individuals. Investigates background, product, financials, leadership, technology, risks, competitive position, and public reputation. Use when evaluating companies for investment, researching people, or making partnership decisions.

fact-check

/fact-check

Verify claims, statements, or assertions by cross-referencing web, news, academic, and social sources. Produces a confidence-scored verdict with full evidence chain. Use when verifying claims, checking facts, or validating statements.

research

/research

Comprehensive multi-source research with academic depth. Searches web, social platforms, news, academic databases, and GitHub. Discovers papers, datasets, and open source implementations. Use when conducting research, literature reviews, or investigating any topic.

trend-intel

/trend-intel

Track and analyze trends, breaking news, and market shifts. Measures velocity across web, social, news, GitHub, and academic signals. Produces news digests and trend trajectory reports. Use when tracking news, identifying trends, or monitoring developments.

Hooks1

Event Hooks

2 hooks across 2 events

MCP Servers1

RivalSearchMCP

External

The plugin manifest points to a different repository than the source indexed by ClaudePluginHub.

Stats

Version2.0.0

Stars1

MaintenanceGood

LicenseMIT

Last CommitFeb 21, 2026

AddedMar 16, 2026

Actions

View on GitHub View README Plugin Marketplace JSON Homepage

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Safety Signals

Caution

External network access

Connects to servers outside your machine

Uses power tools

Uses Bash, Write, or Edit tools

Help us improve

Share bugs, ideas, or general feedback.

README

Rival Search Plugin

A Claude Code plugin with AI research agent skills powered by MCP.

No API keys, no subscriptions, no configuration. Install and start researching.

What This Claude Code Plugin Does

This Claude Code plugin gives Claude a complete AI research platform — 10 MCP tools, 5 agent skills, and 6 specialist agents that work together to handle any research task.

10 MCP tools via RivalSearchMCP — web search, social media, news, GitHub, academic papers, document analysis, and more
5 agent skills — slash commands that run multi-step research workflows and produce structured reports
6 AI research agents — specialist analysts that Claude invokes automatically based on your task
Portable hooks — audit logging and quality gates that travel with the plugin

Example Queries

Once this Claude Code plugin is installed, try these agent skills:

"Research the current state of AI code generation tools"
/rival-search:competitive-intel Cursor
/rival-search:fact-check "OpenAI revenue exceeded $2 billion in 2024"
/rival-search:due-diligence Anthropic
/rival-search:trend-intel AI agents for software development

Getting Started

Claude Code Marketplace (Recommended)

/plugin marketplace add damionrashford/rival-search
/plugin install rival-search@damionrashford-rival-search

Local Directory

git clone https://github.com/damionrashford/rival-search.git
claude --plugin-dir ./rival-search

This Claude Code plugin auto-connects to the hosted RivalSearchMCP MCP server. All 10 tools work immediately — no setup, no API keys.

MCP Research Tools

All 10 MCP tools are provided by RivalSearchMCP — zero authentication required.

Tool	What It Does
`web_search`	Multi-engine search across DuckDuckGo, Yahoo, and Wikipedia
`social_search`	Search Reddit, Hacker News, Dev.to, Product Hunt, Medium
`news_aggregation`	Aggregate news from Google News, DuckDuckGo News, Yahoo News
`github_search`	Search GitHub repositories with rate limiting
`map_website`	Intelligent website exploration and mapping
`content_operations`	Retrieve, analyze, and extract content from any URL
`document_analysis`	Extract text from PDFs, Word docs, and images with OCR
`scientific_research`	Academic papers (arXiv, Semantic Scholar) and datasets (Kaggle, HuggingFace)
`research_topic`	End-to-end research workflow for quick topic analysis
`research_agent`	AI agent with autonomous multi-tool research

Agent Skills

This Claude Code plugin includes 5 agent skills — slash commands that orchestrate MCP tools into multi-step research workflows with structured reports and citations.

Agent Skill	Description
`/rival-search:research <topic>`	Comprehensive research with academic depth — papers, datasets, implementations
`/rival-search:competitive-intel <company or market>`	Company, product, market, or website intelligence with SWOT analysis
`/rival-search:due-diligence <company or person>`	Full due diligence with risk assessment — works for companies and individuals
`/rival-search:trend-intel <topic>`	News digest + trend trajectory with velocity indicators and maturity assessment
`/rival-search:fact-check <claim>`	Cross-source claim verification with confidence scoring and evidence chains

AI Research Agents

This Claude Code plugin includes 6 AI research agents. Each agent has a defined methodology, quality gates, and preloaded agent skills.

Agent	Specialty
research-analyst	Lead researcher — deep multi-source investigation
competitive-intel	SWOT analysis, competitor profiling, market positioning
fact-checker	Cross-source claim verification, confidence scoring
trend-analyst	Trend identification, velocity tracking, trajectory projection
content-strategist	Content gap analysis, audience research, brief creation
due-diligence	Company/person investigation, risk assessment, red/green flags

How This Claude Code Plugin Works

.mcp.json — Connects to RivalSearchMCP via MCP at https://RivalSearchMCP.fastmcp.app/mcp. All 10 MCP tools available automatically.
skills/ — Five agent skill files with step-by-step research workflows, exact MCP tool parameters, and structured output formats.

View full README on GitHub

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Agent skill and CLI helpers for using RivalSearchMCP research tools from Claude Code. Includes workflows, command references, and a standalone CLI for the hosted MCP server.

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rival-search-mcp

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9 research tools: 5-engine web search, 9 social platforms, 5 news sources, 5 academic databases, GitHub, website mapping, document analysis, and research topic synthesis. No API keys required. Deterministic outputs for agent chaining.

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media-os

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The Media OS for Claude Code with routed modes dispatch. 96 production-grade skills + 13 modes (routed playbooks) + 7 orchestrator agents (architect, probe, qc, hdr, encoder, live, delivery) + 5 safety + audit hooks + workflow monitors + a PATH-level CLI toolbelt, covering the entire professional media stack — FFmpeg complete (transcode, filters, streaming, HDR, color, broadcast MXF/IMF, DRM, 360°, VapourSynth), professional companion CLIs (yt-dlp, MKVToolNix, GPAC, Shaka, HandBrake, MoviePy, MediaInfo, PySceneDetect, ffsubsync, ffmpeg-normalize, ImageMagick, ExifTool, SoX, GNU parallel, cloud upload), OBS Studio full stack, streaming frameworks (GStreamer, MediaMTX), broadcast IP (NDI SDK, OpenTimelineIO, HDR dynamic metadata via dovi_tool + hdr10plus_tool, Blackmagic DeckLink, gphoto2), low-level control (MIDI 1.0 + 2.0 UMP, OSC, DMX512/Art-Net/sACN, VISCA + ONVIF PTZ), system audio routing (PipeWire, JACK, Core Audio, WASAPI), VFX (USD, OpenEXR, OpenImageIO), computer vision (OpenCV, MediaPipe), WebRTC (W3C spec, Pion/mediasoup/LiveKit SFUs), and 2026 open-source AI media (Real-ESRGAN/SwinIR/HAT upscale, RIFE/FILM interpolation, rembg/BiRefNet/RVM matting, Kokoro/OpenVoice/Piper TTS, Depth-Anything/MiDaS depth, ComfyUI/FLUX-schnell/Kolors image gen, LTX-Video/CogVideoX video gen, LivePortrait/LatentSync lipsync, PaddleOCR/Tesseract 5 OCR, DeepFilterNet/RNNoise audio denoise, CLIP/SigLIP/BLIP-2/LLaVA tagging). Strict OSI-open + commercial-safe license filter on every AI model.

v2.1.0

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Critical thinking platform for decision analysis, proposal review, debate preparation, and due diligence. Three agents (advocate, adversary, judge) with a structured argument graph, sequential thought chain, and 10 reasoning traditions.

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mlx

2·

ML Workbench for Claude Code. Full ML lifecycle: search papers across 7 academic sources, discover and download datasets from 5 repositories, explore and clean data, engineer features, train models (Naive Bayes, KNN, LDA/QDA, SVM, Decision Trees, Ensembles, GLM, Gaussian Process, Neural Networks), run autonomous experiments, build AI apps with LLMs and RAG, build MCP servers, deploy models with Docker and CI/CD, detect drift, explain predictions with SHAP, generate podcasts from papers, manage notebooks, extract YouTube content, and learn ML interactively with 3 university-grade courses (CS229, Applied ML, ML Engineering). 11 agents, 16 skills, 3 CLI tools (mlx-exp, mlx-search, mlx-status), 1 MCP server, 3 output styles, Python LSP via pyright.

1mo

v1.1.7

damionrashford

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rival-search

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Health & Quality

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README

Rival Search Plugin

What This Claude Code Plugin Does

Example Queries

Getting Started

Claude Code Marketplace (Recommended)

Local Directory

MCP Research Tools

Agent Skills

AI Research Agents

How This Claude Code Plugin Works

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rival-search-mcp-skills

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mlx

Rival Search Plugin

What This Claude Code Plugin Does

Example Queries

Getting Started

Claude Code Marketplace (Recommended)

Local Directory

MCP Research Tools

Agent Skills

AI Research Agents

How This Claude Code Plugin Works