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research-automation-bundle

Skill9 starsChanged 4 months agoMITView on GitHub

Use when you need comprehensive research skills bundled for any topic — web research, OSINT, MCP servers, social media hiring, LinkedIn, job search.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    All browser automation requires the Kimi WebBridge daemon running at http://127.0.0.1:10086.

    line 79

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Research Automation Bundle

Overview

This skill bundles research and automation skills for comprehensive web research, OSINT, and domain-specific analysis workflows — for any topic the user wants to research.

Included Skills

SkillCategoryPurpose
kimi-webbridgeautomationBrowser automation via Kimi WebBridge daemon
deep-web-researchresearch10+ tab deep research with tab groups
job-search-automationautomationSearch any role across 5 platforms (LinkedIn, Indeed, Glassdoor, Naukri, Dice)
linkedin-automationautomationLinkedIn people search & filtering
mcp-server-researchresearchFind free MCP servers for any topic — data, APIs, dev tools, automation
osint-person-searchresearchCross-platform person profile verification (12+ platforms)

When to Use

  • User wants to research any topic comprehensively
  • Job search + company research workflows
  • OSINT investigations combining person search + social media + domain data
  • Market research combining deep web + MCP servers + social signals
  • Hiring landscape analysis across LinkedIn, X/Twitter, job boards

Usage Pattern

# Load all skills in sequence for a research workflow
skill_view(name="kimi-webbridge")
skill_view(name="deep-web-research")
skill_view(name="job-search-automation")
skill_view(name="linkedin-automation")
skill_view(name="mcp-server-research")
skill_view(name="osint-person-search")

Workflow Examples

Job Hunt + Company Research

  1. job-search-automation — Find remote roles for [USER'S TOPIC]
  2. linkedin-automation — Research company employees & hiring managers
  3. deep-web-research — Deep dive on target companies

OSINT Investigation

  1. osint-person-search — Cross-platform person verification
  2. kimi-webbridge — Browser automation for evidence collection
  3. deep-web-research — Multi-tab organized research

MCP Server Discovery + Domain Research

  1. mcp-server-research — Find MCP servers for [USER'S TOPIC]
  2. deep-web-research — Market sentiment, regulatory news, docs

Generic Research

You: "Research renewable energy policy in EU"
Agent:
  1. deep-web-research — 10+ tab methodology on EU energy policy
  2. mcp-server-research — Find MCP servers for energy data APIs
  3. job-search-automation — Find roles in renewable energy sector
  4. linkedin-automation — Find experts/companies in space

Kimi WebBridge Daemon

All browser automation requires the Kimi WebBridge daemon running at http://127.0.0.1:10086.

macOS / Linux:

~/.kimi-webbridge/bin/kimi-webbridge start

Windows (PowerShell):

& "$env:USERPROFILE\.kimi-webbridge\bin\kimi-webbridge.exe" start

Cross-platform (any shell with HOME/USERPROFILE):

${HOME:-$USERPROFILE}/.kimi-webbridge/bin/kimi-webbridge${EXE:-} start

The daemon runs on http://127.0.0.1:10086 regardless of platform.

Key Principle: User-Defined Topics

Every skill in this bundle accepts user-specified topics. The agent should always ask or infer:

"What do you want to research / search for?"

Then pass that topic to each skill's methodology. No hardcoded topics.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free