Mino Reproducible Development

Community

my-take-dev

mino-reproducible-development

二つ以上の専門成果物、または要件から実装・review・検証へのend-to-end traceを統合するときに使うrouter。単一の設計成果物、公開意味に触れない小規模機械変更には使わない。

Overview

Publisher	my-take-dev
Repository	`inspired-mino-design-skills`
Skill name	`mino-reproducible-development`
Stars	345
Forks	9
Bundled files	3
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.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by my-take-dev on GitHub. Read the source before you install it.

Installation

Install the Mino Reproducible Development 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/my-take-dev/inspired-mino-design-skills/tree/main/.agents/skills/mino-reproducible-development
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/my-take-dev/inspired-mino-design-skills/tree/main/.agents/skills/mino-reproducible-development

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/my-take-dev/inspired-mino-design-skills.git /tmp/inspired-mino-design-skills
mkdir -p .claude/skills
cp -r /tmp/inspired-mino-design-skills/.agents/skills/mino-reproducible-development .claude/skills/mino-reproducible-development

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

Use it in TypingMind

Enable Mino Reproducible Development 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 Mino Reproducible Development 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 Mino Reproducible Development 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.

Reproducible Development Router

Outcome Contract

designはImplementation Spec、implementationはVerified Change、reviewはReview Result、reproduction-testはReproduction Report。必要な専門成果物と実在IDのtraceを統合する。正本packageのrootはreproducible_development_result。対応mode: design, implementation, review, reproduction-test。

Reference Routing

初回はskills/mino-core/references/shared-policies.mdを読み、Evidence・承認・判定を適用する。同じcontextで既読なら再読しない。通常の判断は本体とこの共通規則で行う。
要件の正規化と成果物間traceにはskills/mino-core/references/requirements-and-traceability.md、既存挙動変更にはskills/mino-core/references/change-safety.mdを読む。
reproduction-testだけはskills/mino-reproducible-development/references/reproduction.mdを読み、隔離した実行と比較結果を作る。
問題定義は$mino-problem-framing、品質・正本・移行は$mino-architecture-quality-strategy、model欠落は$mino-domain-model-completeness、条件保証は$mino-design-by-contract、公開境界は$mino-interface-implementation-separationへ、必要な成果物だけを依頼する。
対象systemのfile/process/test実行・複数OS要件がある場合はskills/mino-core/references/platform-compatibility.mdを読み、host・対象・検証層を分ける。単なる回答記録の保存では追加読込しない。
正本packageの作成・更新・引継ぎを依頼された場合だけskills/mino-reproducible-development/schemas/package.mdを読み、必須fieldと実在参照を保持する。

Workflow

主成果物が単一の専門設計なら対応Skillへ一度渡して終了する。二つ以上の成果物または要件から実装・検証の統合が必要な範囲だけ進める。
要求・承認・revision・変更境界を揃え、要件と拒否条件を作るか既存を参照する。各専門作業にrun_if、入力、依存、成果物ownerを定める。既存artifactが満たす工程は繰り返さない。
原則は問題定義→必要な品質/用語整理→model→契約→境界→実装/検証。全Skillの実行は要求しない。既に入力が確定した独立部分だけ並列化できる。
分担が有益な場合、子へscope、成果物、許可Evidence、revision、mode、変更権限、終了条件、callerへの返却を渡す。設計専用の子は親がimplementationでもread-onlyにする。子からpeer/routerへ再routingさせず、同じfileのwriterを重複させない。toolがなければ逐次実施と記録する。
各artifactをhandleとrevisionで登録する。各Skillのowner、unknown、coverage、subject_verdictを保持し、obligationを後で作られたCI/T等の実在IDへ接続する。同じlocal IDを文字列一致で統合しない。要約は正本への参照を持ち、同じ内容を別版として複製しない。
実装前に要件→該当model/contract/boundary→test/oracleのtraceを確認する。implementationの許可範囲内で一目的の小さいstepを進め、意味不明・未承認の選択に依存する操作だけを止める。選定済み対象の投資順位を再承認させない。
親は子の主張を原資料・実code・testへ照合する。deterministicな実行結果と独立reviewを区別する。独立reviewには要求・契約・revision・diff・必要codeを渡し、実装者の結論を答えとして注入しない。同じ履歴のforkや自己reviewを独立評価としない。
新指示とrevision差分に依存する結果だけを無効化する。stale/pending/timeoutを成功にしない。必要checkが通り懸念と新差分がなければ返す。

Hard Gates

専門成果物の非該当を埋めるために空packageを作らない。冪等性key、migration、投資評価を一律に要求しない。
FunctionのID・authority・未知・検証状態を要約で失わない。子の投票や構造検査を実装の正しさの証拠としない。
review単独では対象systemを編集しない。修正が依頼された場合は権限と実効modeを更新する。

Completion

現在modeの主成果物、未解決obligation、変更と検証のEvidenceを返す。Verified Changeという名前だけでverifiedにしない。現在artifactの欠落と、完成した条件付き設計の後続停止を分ける。

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 Mino Reproducible Development AI skill do?

Why use Mino Reproducible Development on TypingMind?

Because you install it once and use it with any model. Mino Reproducible Development 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 Mino Reproducible Development in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/my-take-dev/inspired-mino-design-skills/tree/main/.agents/skills/mino-reproducible-development. 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 Mino Reproducible Development?

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 Mino Reproducible Development?

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

Is the Mino Reproducible Development AI skill free?

It is published on GitHub by my-take-dev. Check the repository for licensing terms. 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

Reproducible Development Router

Outcome Contract

Reference Routing

Workflow

Hard Gates

Completion

Bundled files

Frequently asked questions

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