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Find Community
by
ethan-china
· GitHub ↗
· v1.0.1
· MIT-0
82
Downloads
0
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0
Active Installs
2
Versions
Install in OpenClaw
/install miniest-community
Description
帮助识别和评估可以围绕其建立极简主义业务的社群。 当用户正在寻找商业创意、试图找到自己的社群，或想知道作为创业者从哪里开始时使用。 基于Sahil Lavingia《极简主义创业者》的方法论。
Usage Guidance
This skill is instruction-only and internally consistent with its stated purpose. Before installing, note: (1) it will prompt users for personal context about the communities they belong to—do not share secrets or sensitive account credentials; (2) it makes no network calls or installs code, so it cannot exfiltrate data by itself, but any outputs you paste into other services could be shared externally; (3) autonomous invocation is allowed by default on the platform—if you prefer to control when the skill runs, adjust your agent/skill invocation settings. If you want extra assurance, review the SKILL.md text yourself (it’s short and readable) before enabling the skill.
Capability Analysis
Type: OpenClaw Skill
Name: miniest-community
Version: 1.0.1
The skill bundle contains only metadata and instructional markdown (SKILL.md) designed to guide an AI agent in acting as a business consultant. There is no executable code, no network activity, and no evidence of prompt injection or malicious intent.
Capability Assessment
Purpose & Capability
The name/description (finding communities for minimalist entrepreneurship) align with the SKILL.md guidance. There are no unrelated environment variables, binaries, or install steps requested that would be inconsistent with the stated purpose.
Instruction Scope
SKILL.md contains conversational guidance, question prompts, evaluation criteria, and an output template. It does not instruct the agent to read files, access environment variables, call external endpoints, or collect unrelated system data.
Install Mechanism
No install specification or code files are present (instruction-only). Nothing is written to disk or downloaded as part of an install step.
Credentials
The skill requires no environment variables, credentials, or config paths. Requested access is proportional (none needed) to the advisory task described.
Persistence & Privilege
always is false and there is no indication the skill modifies other skills or system settings. disable-model-invocation is false (normal platform default), meaning the agent may invoke the skill autonomously per platform rules.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install miniest-community - After installation, invoke the skill by name or use
/miniest-community - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
No changes detected in this version.
- Version 1.0.1 is identical to the previous release; no updates or modifications were made.
v1.0.0
Initial release of the "find-community" skill for minimalist entrepreneurship.
- Helps users identify and evaluate communities as the basis for minimalist businesses, based on Sahil Lavingia's methodology.
- Guides users through discovering their own communities, existing pain points, and long-term alignment with those groups.
- Provides evaluative criteria to determine which communities are most promising for business ideas.
- Includes a table framework to help users organize community insights and pain points.
- Lists common pitfalls to avoid, emphasizing genuine contribution over market size or surface-level research.
Metadata
Frequently Asked Questions
What is Find Community?
帮助识别和评估可以围绕其建立极简主义业务的社群。 当用户正在寻找商业创意、试图找到自己的社群，或想知道作为创业者从哪里开始时使用。 基于Sahil Lavingia《极简主义创业者》的方法论。 It is an AI Agent Skill for Claude Code / OpenClaw, with 82 downloads so far.
How do I install Find Community?
Run "/install miniest-community" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Find Community free?
Yes, Find Community is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Find Community support?
Find Community is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Find Community?
It is built and maintained by ethan-china (@ethan-china); the current version is v1.0.1.
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