Community Research Insight

Organization

clawdotnet

community-research-insight

Extract structured insight briefs from community research transcripts or notes. Produces pain points, stakeholder needs, opportunity maps, risks, and follow-up questions. Requires human review before publication.

Overview

Publisher	clawdotnet
Repository	`openclaw.net`
Skill name	`community-research-insight`
Stars	522
Forks	105
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 clawdotnet on GitHub. Read the source before you install it.

Installation

Install the Community Research Insight 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/clawdotnet/openclaw.net/tree/main/src/OpenClaw.Gateway/skills/community-research-insight
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/clawdotnet/openclaw.net/tree/main/src/OpenClaw.Gateway/skills/community-research-insight

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/clawdotnet/openclaw.net.git /tmp/openclaw.net
mkdir -p .claude/skills
cp -r /tmp/openclaw.net/src/OpenClaw.Gateway/skills/community-research-insight .claude/skills/community-research-insight

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

Use it in TypingMind

Enable Community Research Insight 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 Community Research Insight 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 Community Research Insight 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.

Community Research Insight Extractor

Extracts pain points, stakeholder needs, risks, and practical technology opportunities from community-engaged research discussions. Produces a structured insight brief for human review before publication.

What It Does

Step	Kind	Purpose
`collect`	`user_input`	Collect transcript, context, and audience via chat
`analyze`	`llm_chat`	Extract grounded themes as structured JSON
`analyze_fallback`	`llm_chat`	Produce best-effort grounded JSON if primary analysis fails
`draft`	`llm_chat`	Draft the full 6-section insight brief as structured JSON
`validate`	`llm_chat`	Gate preview on PASS vs REVISE grounding validation
`validation_revise`	`llm_chat`	Explain why the brief is blocked when validation fails
`preview`	`llm_chat`	Render validated findings as human-readable Markdown
`review`	`user_input`	Pause for human approve/revise/reject decision
`final_response`	`llm_chat`	Produce final output based on review decision

Guardrails

Never invent quotes, names, dates, or statistics.
Never attribute views to named people unless present in the source.
Never recommend replacing community engagement with automation.
Always separate evidence from inference.
Always flag missing information rather than filling gaps.
Always require human review before publication or named attribution.

Fallback

If analyze fails (timeout, provider error, or JSON contract failure), analyze_fallback runs a single-turn llm_chat on the same transcript and must satisfy the same JSON output contract. If validate returns REVISE, the preview path is blocked and validation_revise explains what must be fixed before human review.

Output Contract

The analyze, analyze_fallback, and draft steps enforce OutputContract JSON validation. The draft step requires executive_summary, key_pain_points, stakeholder_needs, opportunity_map, risks_and_cautions, and follow_up_questions.

Safety

Outputs are decision-support drafts for human review. They are not final professional advice in research, policy, or community engagement contexts. Named attribution and external publication require explicit reviewer approval.

Frequently asked questions

What does the Community Research Insight AI skill do?

Why use Community Research Insight on TypingMind?

Because you install it once and use it with any model. Community Research Insight 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 Community Research Insight in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/clawdotnet/openclaw.net/tree/main/src/OpenClaw.Gateway/skills/community-research-insight. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Community Research Insight?

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 Community Research Insight?

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

Is the Community Research Insight AI skill free?

Yes. It is published on GitHub by clawdotnet 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

Community Research Insight Extractor

What It Does

Guardrails

Fallback

Output Contract

Safety

Frequently asked questions

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