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Mstar Strategy

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btspoony
mstar-strategy

Morning Star 全局战略方向 —— 创建并维护 `STRATEGY.md`(项目级战略文档),作为 brainstorm/plan 的上游锚点。定义产品愿景、技术方向、不做事项、决策原则。触发:项目初始化、方向性决策变更、或 PM 要求战略对齐时。

Overview

Publisherbtspoony
Repositorymstar-harness
Skill namemstar-strategy
Stars
67
Forks
4
Bundled files
Instructions only
LicenseMIT
Links
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by btspoony on GitHub. Read the source before you install it.

Installation

Install the Mstar 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/btspoony/mstar-harness/tree/main/skills/mstar-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/btspoony/mstar-harness.git /tmp/mstar-harness
mkdir -p .claude/skills
cp -r /tmp/mstar-harness/skills/mstar-strategy .claude/skills/mstar-strategy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mstar 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 Mstar 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 Mstar 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.

mstar-strategy(全局战略方向)

Load order

Read mstar-harness-core first. Path symbols → mstar-conventions. On conflict, mstar-harness-core wins.

Purpose

STRATEGY.md is the project's upstream anchor — a concise declaration of what the project is, where it's going, and what principles guide decisions. It is read as grounding by brainstorm, plan, and ideation phases so strategic choices flow into every feature.

Without a strategy document, decisions are made in isolation — each plan misses the larger context.

产物存储位置

SSOT: mstar-conventions/references/artifact-storage-paths.md。STRATEGY.md → <repo-root>/STRATEGY.md(与 .git/、AGENTS.md 同级)。禁止放入 {HARNESS_DIR}、docs/ 或任何子目录。

When to use

TriggerExample
Project initialization"Create STRATEGY.md for this new project"
Directional change"We're pivoting from monolith to microservices"
PM requests alignment"Check if this plan aligns with our strategy"
Periodic review"Review and update STRATEGY.md"

STRATEGY.md structure

A good strategy document is opinionated and concise. It should fit in one screen of reading.

Required sections

markdown
# Strategy

## Vision
<1-2 sentences: what the project aims to become>

## What we build
<Core product/users/use cases>

## What we don't build
<Explicit non-goals — as important as goals>

## Guiding Principles
- <Principle 1>
- <Principle 2>
- <Principle 3>

## Technology Direction
<Key tech choices and rationale>

## Decision Log
<Major past decisions with context — why, not just what>

Engine check (when available): run mstar lint <STRATEGY.md> (or import { lintStrategySections } from "@mstar-harness/engine" in a host hook) to check the six required sections above (Vision, What we build, What we don't build, Guiding Principles, Technology Direction, Decision Log). On fail -> do not proceed; fix and re-run. Skill text below remains authoritative when the runtime is absent.

Optional sections

  • Current Focus — what the team is working on now
  • Risks & Mitigations — known strategic risks
  • Competitive Context — what alternatives exist and how we differ

Creating STRATEGY.md

Creating and maintaining STRATEGY.md follows the project knowledge bootstrap: mstar-compound-refresh → references/project-knowledge-bootstrap.md Phase 2 (Distill STRATEGY.md) — survey context → interview → draft/review → stale/partial/current handling. The six-section structure and the engine check above stay authoritative here.

Interview (ask PM the 5 questions one at a time)

  1. "What is the one-sentence vision for this project?"
  2. "Who are the primary users and what do they need most?"
  3. "What are you explicitly NOT building? What's out of scope permanently?"
  4. "What 2-3 principles should guide every technical decision?"
  5. "What technology bets have you made, and why?"

Maintenance

Review triggers: after a major architectural decision, when a plan introduces a new technology stack, or quarterly (PM-scheduled). Update rules: be decisive about direction changes (replace, don't keep old strategy alongside new); log decisions with context (why, not just what); keep it current — stale strategy is worse than no strategy.

STRATEGY.md vs other docs

DocumentPurposeAudience
STRATEGY.mdProduct/technical direction, principles, decisionsPM, architect, all implementers
AGENTS.mdRepo maintenance policy, conventionsContributors and agents
CONCEPTS.mdDomain vocabularyAnyone reading/writing project docs
Plans in {PLAN_DIR}/Feature-level implementation planImplementers, reviewers

NOT to do

  • Do not write STRATEGY.md as a novel — it should be scannable
  • Do not include implementation details or file paths
  • Do not create without PM/architect input (ask the questions)
  • Do not keep outdated strategy as "historical reference" — git preserves it
  • Do not conflate strategy (direction) with conventions (how-to)

Workflow

主链:创建/维护(survey → 访谈 = 五问 → draft/review → 更新/替换/跳过)细节 → mstar-compound-refresh references/project-knowledge-bootstrap.md Phase 2。作为 brainstorm / plan 的上游锚点被引用。

Evidence

正确结果 = <repo-root>/STRATEGY.md 通过 lintStrategySections 六节检查(Vision / What we build / What we don't build / Guiding Principles / Technology Direction / Decision Log,mstar lint <STRATEGY.md>),一屏可读完,且 Decision Log 记录的是理由而非仅结论。

References

  • 迭代级战略对齐(iteration-start §1.1 读 STRATEGY.md)→ mstar-iteration
  • 知识维护 / bootstrap(战略变更后的知识对账)→ mstar-compound-refresh
  • 路径符号与产物存储 SSOT → mstar-conventions

Frequently asked questions

What does the Mstar Strategy AI skill do?

Morning Star 全局战略方向 —— 创建并维护 `STRATEGY.md`(项目级战略文档),作为 brainstorm/plan 的上游锚点。定义产品愿景、技术方向、不做事项、决策原则。触发:项目初始化、方向性决策变更、或 PM 要求战略对齐时。

Why use Mstar Strategy on TypingMind?

Because you install it once and use it with any model. Mstar 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 Mstar Strategy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/btspoony/mstar-harness/tree/main/skills/mstar-strategy. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Mstar 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 Mstar Strategy?

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

Is the Mstar Strategy AI skill free?

Yes. It is published on GitHub by btspoony 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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