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Mise

作者 Solomon Neas · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install mise
功能描述
Transforms ideas into user-approved designs and written specs before any coding, ensuring well-scoped, reviewed, and testable plans for every task.
使用说明 (SKILL.md)

mise

Mise en place for building: everything designed and in its place before you cook. It turns an idea into a design someone approved, not the first plan that sounded right in the moment. The deliverable is a written spec a separate session could implement without re-deciding anything load-bearing.

No implementation skill, no code, no scaffolding until a design is on the table and the user has said yes to it. This holds for every task, including the ones that look too small to bother with. "Too simple to design" is exactly where an unexamined assumption costs the most, because nobody slowed down to check it. The design can be three sentences for a three-sentence change, but it gets presented and approved.

What this owns, what it borrows

This skill owns the parts that turn an understood problem into a buildable design: generating real alternatives, recommending one, and shaping the choice into a spec. It does not re-invent interrogation. Pinning each load-bearing decision to an honest basis is pressure-test's job. Pull pressure-test in when the decisions are genuinely contested, when the problem is fuzzy, or when the user hands off and goes AFK. Once a decision is pinned there, take it as settled here, do not relitigate it.

The split in one line: pressure-test closes the decisions, mise shapes them into a design and a spec.

Steps

  1. Read the context first. Files, docs, recent commits, the surrounding code. Never spend a question on something the repo already answers.
  2. Scope before designing. If the request is really several independent subsystems, say so and decompose it before going deep. Run the first piece through the full flow; each piece earns its own spec later. Don't refine the details of something that needs splitting first.
  3. Understand the idea. One question at a time: purpose, constraints, success criteria. Prefer multiple choice over open-ended, it is easier to answer and sharper to act on. When a choice is genuinely visual (layouts, diagrams, side-by-side options), use the harness's question previews rather than describing it in a wall of prose.
  4. Propose 2-3 approaches. Each with its trade-offs. Lead with your recommendation and the reason for it. Never present a single approach as the only option; if you can only think of one, you have not looked hard enough.
  5. Present the design, scaled to its complexity. A few sentences when it is straightforward, more when it is nuanced. Confirm each section before moving to the next. Cover architecture, the pieces and their boundaries, data flow, failure handling, and how it gets tested. Design for isolation: small units, one clear purpose each, testable on their own. A file that wants to grow large is usually doing too much.
  6. Write the spec to docs/specs/YYYY-MM-DD-\x3Ctopic>.md and commit it.
  7. Self-review the spec with fresh eyes: placeholders or TBDs, sections that contradict each other, scope that should be decomposed, requirements that read two ways. Fix inline, no second pass needed.
  8. User reviews the written spec. Ask them to read it and wait. If they want changes, make them and re-run the self-review.
  9. Hand off to recipe. That is the only skill you invoke next - not a frontend skill, not an implementation skill, not the code itself.

Rules

  • No code before an approved design. Every task, no exceptions, however small.
  • One question at a time. Multiple choice whenever the choice allows it.
  • Inspect before you ask. The repo and the conversation often already hold the answer.
  • Always 2-3 approaches with a recommendation. One option is not a choice.
  • Scale the design to the work. Don't inflate a small change into ceremony, don't shrink a real design into a sentence.
  • YAGNI. Cut every feature that does not serve the stated goal.
  • Improve the code you must touch; never bolt on unrelated refactoring.
  • The terminal state is recipe. Stopping anywhere else means the design never became a plan.

Common mistakes

  • Dumping every question in one message instead of one at a time, so the user answers a questionnaire instead of thinking.
  • Skipping the design because the task "looks simple", which is precisely when the buried assumption bites.
  • Presenting one approach as settled instead of offering real alternatives with a recommendation.
  • Relitigating decisions pressure-test already pinned, or skipping pressure-test when the decisions are actually contested and coasting on momentum.
  • Handing the planning step a spec still full of TBDs and contradictions because the self-review got skipped.
  • Drifting into implementation before the user approved the design, then calling the approval a formality.
安全使用建议
Install this if you want a strict design-before-code workflow. Expect it to slow down small build requests and to create and commit spec documents, so use it in repositories where that level of process and durable history is acceptable.
能力评估
Purpose & Capability
The artifact coherently matches its stated purpose: it structures design review, alternatives, user approval, spec writing, and handoff before coding.
Instruction Scope
The activation language is intentionally broad for creative or build work and may add process overhead, but that scope is plainly disclosed and aligned with the skill's purpose.
Install Mechanism
The artifact contains only a markdown SKILL.md file; no executable scripts, installers, dependencies, or background setup were present.
Credentials
Repository inspection and writing under docs/specs are proportionate to producing implementation specs; the skill does not request credentials, network access, broad indexing, or unrelated private data.
Persistence & Privilege
The skill explicitly instructs the agent to write and commit a spec, creating durable repository history, but this is limited to the stated planning deliverable.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install mise
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /mise 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of the mise skill. - Introduces a structured process to turn ideas into approved designs and written specs before implementation begins. - Enforces mandatory design and user approval for every task, however small, ensuring no code is written before sign-off. - Requires presenting 2–3 alternative approaches for each problem, with a recommendation. - Defines clear separation of responsibilities with the pressure-test and recipe skills for decision validation and implementation handoff. - Emphasizes self-review, single-question focus, and disciplined scoping for robust, maintainable designs.
元数据
Slug mise
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Mise 是什么?

Transforms ideas into user-approved designs and written specs before any coding, ensuring well-scoped, reviewed, and testable plans for every task. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 45 次。

如何安装 Mise?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install mise」即可一键安装,无需额外配置。

Mise 是免费的吗?

是的,Mise 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Mise 支持哪些平台?

Mise 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Mise?

由 Solomon Neas(@solomonneas)开发并维护,当前版本 v1.0.0。

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