Oss Growth Attribution

Community

Gingiris-1031

oss-growth-attribution

Reconstruct an open-source project's growth channels, key content, and stage-by-stage attribution from GitHub history and public web evidence. Use this skill when asked to research GitHub star growth, identify launch and amplification channels, explain viral milestones, find representative posts or videos, compare Product Hunt/Show HN/Reddit/KOL impact, or produce an evidence-backed OSS growth attribution report.

Overview

Publisher	Gingiris-1031
Repository	`gingiris-skills`
Skill name	`oss-growth-attribution`
Stars	88
Forks	6
Bundled files	4
License	MIT
Links	Skill source Repository

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.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Gingiris-1031 on GitHub. Read the source before you install it.

Installation

Install the Oss Growth Attribution 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/Gingiris-1031/gingiris-skills/tree/main/skills/oss-growth-attribution
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/Gingiris-1031/gingiris-skills/tree/main/skills/oss-growth-attribution

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/Gingiris-1031/gingiris-skills.git /tmp/gingiris-skills
mkdir -p .claude/skills
cp -r /tmp/gingiris-skills/skills/oss-growth-attribution .claude/skills/oss-growth-attribution

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

Use it in TypingMind

Enable Oss Growth Attribution 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 Oss Growth Attribution 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 Oss Growth Attribution 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.

OSS Growth Attribution

Produce an auditable growth reconstruction, not a generic marketing checklist.

Workflow

Resolve the canonical repository and validate it against the product domain.
Fetch GitHub repository metadata, releases, earliest commits, and timestamped stargazers.
Build a star timeline with daily resolution around spikes and monthly resolution elsewhere.
Search GitHub Trending, Reddit, Hacker News, Product Hunt, X, LinkedIn, Instagram, TikTok, YouTube, developer media, technical blogs, and localized communities.
Extract original content URLs; never substitute search-result URLs when an original URL is available.
Normalize items to the evidence schema.
Align publication times with star velocity using the attribution model.
Divide history into preparation, community seed, accumulation, breakout, localization/SEO, and ecosystem stages. Omit unsupported stages.
Report representative content per channel with hook, format, audience, funnel role, and original link.
List channels searched but not evidenced. Absence of public evidence is not proof an event never happened.

Source priority

GitHub REST API and repository commits/releases
Original posts, videos, launch pages, and project-owned pages
Independent archives or channel-specific analytics pages
Search result snippets only as discovery or dated snapshots

Use the API playbook. Follow the environment's web-access skill for browsing.

Attribution guardrails

Label API fields and original posts as observed.
Label cross-source temporal conclusions as inferred.
Label percentage shares as modeled; use ranges, never fake precision.
Do not credit a channel merely because it is common in OSS marketing.
Treat GitHub Trending as both an outcome of prior velocity and an amplification channel.
Do not sum overlapping platform effects as independent last-click conversions.
Without first-party traffic, UTM, or referral logs, state uncertainty of at least ±10–15 percentage points.
Never claim Product Hunt or Show HN impact without a canonical launch/discussion URL or strong corroboration.

Required output

Return an executive conclusion, attribution limits, stage timeline, channel contribution ranges, key content table with original URLs, hook analysis, unsupported hypotheses, exact-attribution instrumentation, and next-stage action plan. Every material claim needs a URL or a clear modeled label.

加入出海社群与购买资料包 · Community & Resources

加入出海社群： 微信添加 staywildgrow，留言「加入社群」即可。
购买资料包： 微信添加 staywildgrow，咨询购买 Gingiris 出海资料包，价格 599 元人民币。
Join the global growth community: Add staywildgrow on WeChat and send “加入社群” (join the community).
Get the resource pack: Add staywildgrow on WeChat to purchase the Gingiris global growth resource pack for CNY 599.

社群与资料包为可选入口，不影响本开源 Skill 的安装和使用。

The community and paid resource pack are optional; neither is required to install or use this open-source skill.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Oss Growth Attribution AI skill do?

Why use Oss Growth Attribution on TypingMind?

Because you install it once and use it with any model. Oss Growth Attribution 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 Oss Growth Attribution in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/oss-growth-attribution. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Oss Growth Attribution?

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 Oss Growth Attribution?

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

Is the Oss Growth Attribution AI skill free?

Yes. It is published on GitHub by Gingiris-1031 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

OSS Growth Attribution

Workflow

Source priority

Attribution guardrails

Required output

加入出海社群与购买资料包 · Community & Resources

Bundled files

Frequently asked questions

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