Enterprise Data Retrieval

Organization

cxcscmu

enterprise-data-retrieval

Techniques for retrieving structured information from enterprise Slack/document JSON data files.

Overview

Publisher	cxcscmu
Repository	`SkillLearnBench`
Skill name	`enterprise-data-retrieval`
Stars	91
Forks	7
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by cxcscmu on GitHub. Read the source before you install it.

Installation

Install the Enterprise Data Retrieval AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/cxcscmu/SkillLearnBench/tree/main/skills/b1-one-shot-claude-opus-4-6/enterprise-information-search/enterprise-data-retrieval
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/cxcscmu/SkillLearnBench/tree/main/skills/b1-one-shot-claude-opus-4-6/enterprise-information-search/enterprise-data-retrieval

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/cxcscmu/SkillLearnBench.git /tmp/SkillLearnBench
mkdir -p .claude/skills
cp -r /tmp/SkillLearnBench/skills/b1-one-shot-claude-opus-4-6/enterprise-information-search/enterprise-data-retrieval .claude/skills/enterprise-data-retrieval

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Enterprise Data Retrieval in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Enterprise Data Retrieval on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Enterprise Data Retrieval is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Enterprise Data Retrieval from JSON Files

Overview

Enterprise data files often contain Slack messages, documents, meeting transcripts, and metadata in nested JSON format. This skill covers patterns for efficiently searching and extracting information from these large files.

Data Structure Pattern

json
{
  "slack": [
    {
      "Channel": {"name": "...", "channelID": "..."},
      "Message": {
        "User": {"userId": "eid_xxx", "timestamp": "...", "text": "..."}
      },
      "ThreadReplies": []
    }
  ],
  "documents": [
    {
      "content": "...",
      "author": "eid_xxx",
      "type": "Market Research Report",
      "feedback": "...",
      "id": "..."
    }
  ],
  "meeting_transcripts": [...]
}

Key Retrieval Strategies

1. Finding Document Authors and Reviewers

Check documents array for author field
Search Slack messages for discussion threads around document sharing
Match feedback items in final documents to reviewer suggestions in Slack
The feedback field on updated documents lists what changes were incorporated

2. Finding Competitor Insights

Search for messages containing competitor product names
Look for discussions about "strengths", "weaknesses", "competitor"
The person who initiates the discussion and provides detailed answers is the primary insight provider

3. Finding URLs

Use grep for URL patterns (https://, demo, etc.)
Distinguish between internal URLs (sf-internal.slack.com) and external competitor URLs
Demo URLs for competitor products are external domains

Tips

Large JSON files (800KB+) require offset/limit reading or grep-based searching
Employee IDs follow pattern eid_[hex]
Cross-reference employee IDs with metadata/employee.json for names

Frequently asked questions

What does the Enterprise Data Retrieval AI skill do?

Techniques for retrieving structured information from enterprise Slack/document JSON data files.

Why use Enterprise Data Retrieval on TypingMind?

Because you install it once and use it with any model. Enterprise Data Retrieval is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Enterprise Data Retrieval in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cxcscmu/SkillLearnBench/tree/main/skills/b1-one-shot-claude-opus-4-6/enterprise-information-search/enterprise-data-retrieval. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Enterprise Data Retrieval?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Enterprise Data Retrieval?

As many as you like. As long as a model supports skills, you can use Enterprise Data Retrieval with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Enterprise Data Retrieval AI skill free?

Yes. It is published on GitHub by cxcscmu under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Enterprise Data Retrieval from JSON Files

Overview

Data Structure Pattern

Key Retrieval Strategies

1. Finding Document Authors and Reviewers

2. Finding Competitor Insights

3. Finding URLs

Tips

Frequently asked questions

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