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Mino Architecture Quality Strategy

Community
my-take-dev
mino-architecture-quality-strategy

複数module、system-wideな品質trade-off、data authority、target/transition、migration/recoveryをproduct valueから設計・監査するときに使う。局所class改善、流行技術の選定、単一契約抽出には使わない。

Overview

Publishermy-take-dev
Repositoryinspired-mino-design-skills
Skill namemino-architecture-quality-strategy
Stars
345
Forks
9
Bundled files
2
Links
Skill sourceRepository
  • 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.

  • 2 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 Architecture Quality Strategy AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/my-take-dev/inspired-mino-design-skills/tree/main/.agents/skills/mino-architecture-quality-strategy
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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-architecture-quality-strategy .claude/skills/mino-architecture-quality-strategy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mino Architecture Quality Strategy 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 Architecture Quality Strategy 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 Architecture Quality Strategy 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.

Architecture Quality Strategy

Outcome Contract

product valueから品質の優先関係、構造・authority、必要な移行・復旧を設計または監査する。今回の判断が品質比較・投資順位・構造・移行のどこまでかを固定する。 正本packageのrootはarchitecture_strategy_package。 対応mode: design, review。

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。
  • 品質catalogを作るときはskills/mino-core/references/quality.md、投資順位・移行を扱うときはskills/mino-core/references/change-safety.mdを読み、該当する判断だけを作る。
  • 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-architecture-quality-strategy/schemas/package.mdを読み、必須fieldと実在参照を保持する。

Workflow

  1. actorの目的、value、成功signal、scope、期間、制約、可逆性、判断ownerを確認する。技術は候補手段へ戻す。business capability/subdomainだけをcore / supporting / genericへ仮分類する。technical capabilityは原則N/Aで品質・risk・運用・costを扱い、kind不明ならclassificationもunknownにする。
  2. 品質をprimary / secondary / constraint / intentionally_not_optimized / unknownへ分ける。catalogの実在IDを参照し、語彙とthresholdを混同しない。規格を使う場合だけ根拠のあるeditionを明記し、未確認ならproject_definedにする。
  3. 品質scenarioへ刺激・対象・環境・期待応答・oracle・owner・Evidence・計測計画を付ける。local改善とsystem/journey/organization/future-changeへの影響を分け、静的metricだけから構造原因を断定しない。
  4. 負債解消・改修投資の順位を決める場合だけbusiness_criticality、expected_change、debt_impact、failure_risk、remediation_costを比較する。品質のprimary/constraintだけの依頼へ投資評価を追加しない。未知の費用・ownerや数値scoreを作らない。
    • coreかつ変更が多い領域はmodel・境界・契約・testへの投資を検討する。supportingでも高riskなら安全・法令・会計・運用等の必要品質を守る。genericでは購入・再利用・単純実装を比較する。低変更・低riskでは最小修正・現状維持を許す。分類だけで順位を決めず、5要因のEvidenceへ接続する。
    • supporting / genericへ架空の差別化価値を作らず、維持する価値・回避する損失と根拠を示す。分類や費用がunknownなら確認条件を残し、独自価値や最終順位を補完しない。
  5. 現状維持・最小修正・段階改善を比較し、非現実的なら除外理由を示す。build/migration/operation/learning cost、改善・悪化する品質、反証、可逆性を比較する。人間の重み付け・採用は候補作成と分ける。
  6. 構造が対象ならsubjectごとにsemantic/contract/state/source-of-truth/failure-recovery/operational authorityを一意にする。writer/readerが複数ならcoordination contractを必要とする。consumer操作の詳細はBoundary、条件保証はContractを参照する。
  7. 未決optionはSelection Gateへつなぎ、採用済みtargetと呼ばない。ADRのcurrent/superseded/rejectedとproposed/approved/frozenは別にする。
  8. 移行が対象ならfrom/to、依存順、互換性、backfill、新旧読書き、競合・照合、観測期間、終了/abort条件、不可逆点、復旧owner、暫定pathの期限・利用観測・削除条件を定める。外部成功はlocal rollbackで取消済みと仮定しない。
  9. value→品質scenario→finding→option→target→transition→validationを該当する段階の実在IDでつなぎ、非該当段階は理由付きで除外する。

Hard Gates

  • 全品質の最大化、未計測値、AIによる投資順位・公開契約・cutoverの承認を作らない。
  • 移行中のdual writerには期間・conflict・reconciliation・削除条件・ownerを持たせる。復旧・不可逆点の判断がunknownなら依存操作を止める。
  • 品質比較だけの依頼へ架空のtarget、migration、空の専門packageを増やさない。

Completion

判断・構造・検証が整合し未決採用がなければcoherent、未決を条件付きで隔離できればconditional、既知欠陥はincomplete、重要未確認で判断不能ならindeterminate。設計planはplannedでありruntime成功ではない。

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 Architecture Quality Strategy AI skill do?

複数module、system-wideな品質trade-off、data authority、target/transition、migration/recoveryをproduct valueから設計・監査するときに使う。局所class改善、流行技術の選定、単一契約抽出には使わない。

Why use Mino Architecture Quality Strategy on TypingMind?

Because you install it once and use it with any model. Mino Architecture Quality Strategy 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 Architecture Quality Strategy 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-architecture-quality-strategy. 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 Architecture Quality Strategy?

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 Architecture Quality Strategy?

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

Is the Mino Architecture Quality Strategy 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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