EasyGlobe Skills
Research Skills Hub
A shared research category page for Claude Skills, Codex Skills, Gemini Skills, Kimi Skills, GLM Skills, and team workflows.
How to choose
Review the agents and workflows covered by this category, then open a skill detail page to check task boundaries, README notes, setup requirements, and expected outputs.
How To Use This Skill
Use this category to organize agent-ready skills for market research, literature review, source synthesis, competitor scans, and evidence-backed reports. Each page follows the same skills template so teams can compare categories quickly and adapt the workflow to Claude, Codex, Gemini, Kimi, GLM, or internal SOPs.
Usable AI Agents and Models
Works well as
Research Skills
Popular Research Skills
Start with the skills in this Research category that are easiest to evaluate first. Each detail page includes a download link, the original Skill URL, and notes for adapting the workflow to Claude, Codex, Gemini, Kimi, GLM, or a team SOP.
Xiaoyinsi Skill
Community for US stock and crypto investors.
Use for US stocks, Crypto tasks that should become a reusable agent workflow.
BigSmart Skill
A-share high-risk strategy resource.
Use for A-shares tasks that should become a reusable agent workflow.
Serenity Analysis Skill
AI-powered dynamic investment research terminal for US stocks.
Use for US stocks tasks that should become a reusable agent workflow.
Curated Skill Resources
Useful Skill, MCP, Agent, and finance API resources imported from the FynnZhang designer tool library and manual curation.
Community for US stock and crypto investors.
A-share high-risk strategy resource.
AI-powered dynamic investment research terminal for US stocks.
Pine strategies, AI trend diagnostics, and Chan theory auto-annotation.
CICC finance skills, available to institutional users.
WeRead official skill for bookshelf lookup, reading stats, notes, search, details, and recommendations.
Claude Code skill for stronger web access through multi-channel routing and browser control.
Agent search tool with a monthly free API credit allowance.
AI-assisted US stock market product.
Gives agents reliable web scraping, search, and browser automation.
Unified real-time search engine skill for AI agents.
Codex skill for researched blog content production, SEO QA, Markdown/MDX frontmatter validation, source checks, and schema-ready publishing workflows.
One-click AI automation to diagnose, optimize, and fix Google Search Console indexing issues.
Video-understanding skill that accepts URLs or local files, extracts scene-aware frames, collects captions or Whisper transcripts, and combines the evidence for agent analysis.
Source-backed investment-research workflow for finding supply-chain bottlenecks, mapping technology value chains, screening A-share, Hong Kong, and US stocks, and stress-testing theses without executing trades.
Build academic conference posters as precisely measured HTML and CSS, then render print-ready PDFs through headless Chromium for venues such as ICML, NeurIPS, ICLR, and CVPR.
Edit and harden computer-science conference papers through direct manuscript editing, adversarial multi-reviewer assessment, consensus-gated revisions, and an optional unattended review-revise loop.
Distill courses, books, videos, audio, PDFs, slides, transcripts, OCR, and notes into source-grounded mentor, expert, consultant, practitioner, or custom agent skills.
Discover existing cloud resources and bulk import them into Terraform state
Integrate Firecrawl into application code for web search, scraping, extraction, and browser interaction
Multi-step Firecrawl browser flows: clicks, form fills, pagination, and auth-aware navigation
Set up Firecrawl credentials and SDK in a project for the first integration
Integrate Firecrawl `/scrape` for single-page extraction from product code
Integrate Firecrawl `/search` for query-first discovery with optional content hydration
Search, scraping, and text parsing endpoints
Run ML models in the browser with Transformers.js
Search and extract data from Burp Suite project files
Diagnose and fix Claude in Chrome MCP extension connectivity issues
Full Sentry SDK setup for browser JavaScript
Geocoding, routing, and weather services
Full-text, vector, and hybrid search
Full-text, vector, and hybrid search
Vector/hybrid search with semantic ranking
WP-CLI commands, automation, multisite, search-replace
Convert conversations into structured, searchable Notion wiki entries
Research Notion content and synthesize findings into structured briefs
Automate real browser interactions for navigation, forms, and scraping
Persistent browser and Electron interaction via js_repl for iterative UI debugging
Optimize content to appear in AI-generated answers and LLM search results
Search tokens and fetch metadata, real-time market data, and K-Line candlestick charts by keyword or contract address
AI-generated answers grounded in live web search results
CLI tool for web search built for AI agents
Search for images using the Brave Search API
Return pre-extracted web content (text, tables, code) from Brave Search
Search Brave's news index with article metadata
Check search queries for spelling errors and get corrections
Query autocomplete suggestions via the Brave Search API
Search for videos across the web via the Brave Search API
Search the web via Brave's Search API with ranked results
Automate web browser interactions through natural language CLI commands
CLI wrapper around the Browserbase platform
Export cookies from local Chrome into a Browserbase persistent context
Fetch HTML, JSON, headers, and status codes through the Browserbase API
Deploy browser automation scripts as serverless cloud functions
Search the web via the Browserbase API with structured results
Run adversarial UI tests by analyzing git diffs in a real browser
Search and browse the x402 bazaar marketplace
Search, filter, and archive Datadog logs through pup CLI
Deep-dive competitor or company analysis
Create hypothesis-driven personas before conducting full research
Plan customer interviews using Mom Test style based on research goals
Full discovery cycle: frame problem → research → synthesize → validate (3-4 weeks)
Analyze competitors with strengths, weaknesses, and differentiation
Map customer journeys with touchpoints, emotions, and opportunities
Identify 3-5 customer segments with JTBD and product fit
Estimate TAM, SAM, SOM with top-down and bottom-up approaches
Analyze user feedback with sentiment scores and JTBD insights
Create 3 user personas with JTBD, pains, and gains
Segment users by behavior, JTBD, and needs from feedback data
Search DuckDB and DuckLake documentation using full-text search over HTTPS
Search past Claude Code session logs to recover context from previous conversations
Real Chromium browser for QA: real clicks, real screenshots, ~100ms per command
Import cookies from your real browser into the headless session
Search Notion workspace, synthesize findings, and create comprehensive research reports
Comprehensive quality review across performance, accessibility, SEO, and best practices categories
Loading speed, runtime efficiency, and resource optimization
LCP, INP, and CLS-specific optimizations
WCAG compliance, screen reader support, and keyboard navigation
Search engine optimization, crawlability, and structured data
Security, modern web APIs, and code quality patterns
Implement Atlas Search and AI-powered recommendations with vector search
Redis development best practices — data structures, query engine, vector search, caching, and performance optimization.
Research and draft a response to a GitHub issue or question from an external contributor.
Autonomous NeMo-RL research agent workflow for directed hypothesis testing and open-ended discovery.
Manage and monitor VSS alerts after the alerts profile is deployed.
Deploy, debug, or tear down any VSS profile using a compose-centric workflow — config (dry-run) with env overrides, review resolved compose, then compose up.
Produce video analysis reports by discovering the deployed VSS agent, querying POST /generate for a timestamped captioned summary of the clip, then formatting the agent reply as th...
> Use this skill when working with the RTVI VLM or RT-VLM microservice API on VSS 3.1.
Query video analytics data and metrics from Elastic search via the VA-MCP server (port 9901).
Search video archives using natural language — find events, objects, actions, and people across recorded video using fusion search (Cosmos Embed1 semantic search + CV attribute sea...
Summarize a video by calling the VLM NIM or the Long Video Summarization (LVS) microservice directly.
Call the vss agent to run video understanding on video to answer a text question.
Query VIOS REST APIs: sensor list, recording timelines, video clip extraction, snapshot capture, add/delete sensors and streams
Generate video summary reports using the VSS video_search_frag extension with Long Video Summarization (LVS), Enterprise RAG knowledge retrieval, and human-in-the-loop parameter co...
Interact with the Gemini Enterprise Agent Platform Skill Registry to create and search for available skills.
Search and extract Cypress information from official documentation.
Agent skills for Qdrant vector search, covering scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go, .NET, and Java
Tweet search, profile tweets, follower export, media, posting, replies, MCP
Post tweets, replies, DMs; search, monitor, run giveaways
Research any topic across Reddit, X, YouTube, HN, Polymarket, and the web, ranked by upvotes, likes, and real money instead of editors
14-skill collection for AI-powered job search: JD evaluation with A-F scoring, ATS-optimized PDF generation, portal scanners (Greenhouse/Ashby/Lever), interview prep with STAR+R, batch processing, and a Go dashboard TUI
Autonomous multi-step research using Gemini Deep Research Agent
Browser automation with Playwright
Vector-powered CLI for semantic file search with a Claude/Codex skill
Handle long-context tasks (100+ files, 50k+ tokens) through recursive decomposition strategies based on RLM research
Diagnose and optimize Agent Skills (SKILL.md) with real session data and research-backed static analysis. Works with Claude Code, Codex, and any Agent Skills-compatible agent
Scientific research and analysis skills
Autonomous ML research with cross-model review loops and GPU deployment
77 AI research skills for model training, inference, and MLOps
20-module AI research skill library for model architecture, training, and ML paper writing
Genealogy research agent with OCR, FamilySearch, YAML data, and human-in-the-loop
Realtime and batch video workflows: capture screen/audio, ingest URLs/YouTube/RTSP, transcribe, index, search, generate subtitles, edit timelines, and stream HLS output
Harness-enforced business research for Claude Code and Codex
Ship Solana apps end-to-end; transaction sending, asset queries, real-time streaming, token swaps, prediction markets, browser wallets, and deep research into protocol internals all powered by Helius APIs, DFlow trading, and Phantom wallet integrations
Core Workflows
Context and input setup
Define the source material, constraints, goal, expected output, and quality bar for research work.
Agent execution workflow
Run the task through Claude Skills, Codex Skills, Gemini Skills, Kimi Skills, GLM Skills, or another agent with clear checkpoints.
Review and reusable handoff
Package the result into a checklist, reusable prompt, operating note, or implementation handoff.
Typical Outputs
Frequently Asked Questions
Can Research skills be used with Claude, Codex, Gemini, Kimi, and GLM?
Yes. The category is written as a model-flexible skills hub entry, so the same workflow can become a Claude Skill, Codex Skill, Gemini Skill, Kimi Skill, GLM Skill, or team SOP.
Why use one template for every category page?
A shared template makes the directory easier to scan: every category shows supported agents, core workflow steps, expected outputs, and FAQs in the same structure.