Proposal: Skills — workflow-level context for tool composition
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评估
- 难度
- 5/5
- 预计耗时
- 一周以上
- 新手友好度
- 25/100
- Issue 类型
- 功能
- 描述清晰度
- 需要澄清
- 活跃度
- 冷清
- 技术栈
- javascript
- 领域
- web-dev
调研方向
Start with the proposal’s registerSkill() strawman API and the existing registerTool() and provideContext() behavior. There are unresolved API and semantics questions, so the first task is to identify the relevant specification section or proposal entry point and determine the intended scope; completion requires an agreed API and normative documentation, which this issue does not yet identify.
由索引模型根据 Issue 内容生成。
描述
Proposal to let pages register skills — bundling tools with structured context and workflow guidance — so agents can use a site competently, not just functionally.
Tools can tell agents what a site can do, but Skills tell agents how to do it well.
A skill bundles registered tools with structured context and optional guidance, so agents can operate competently within a domain rather than calling functions blind.
Strawman API
navigator.modelContext.registerSkill({
name: "personal_shopper",
description: "Shopping assistant guidance for this store",
instructions: `
1. Ask about occasion and budget before searching
2. Our sizing runs small — suggest one size up
3. For orders over $100, mention current promotion
4. Always mention 30-day return policy before checkout
5. Use requestUserInteraction() for payment confirmation
`,
tools: ["searchProducts", "showProducts", "addToCart", "applyPromoCode"],
context: {
currentPromotion: { code: "SPRING30", minOrder: 100, discount: "30%" },
returnPolicy: "30-day free returns, free first exchange",
sizingNote: "Sizes run ~1 size small vs. US standard"
},
annotations: { category: "commerce", version: "1.0" }
});
Tools are still registered independently via registerTool(). A skill references them by name and adds the layer of how and when to use them.
instructions is an optional hint — clients that don't interpret natural language (accessibility tools, OS assistants) can ignore it and still use the tools and structured context directly.
Problem
An e-commerce site registers searchProducts, addToCart, and applyPromoCode. An agent can call them. But it doesn't know the store's sizing runs small, there's an active promo code, it should ask about occasion before searching, or which products pair well together.
Tool descriptions can't carry this weight — they document individual functions, not workflows. The gap grows with domain complexity: travel sites need fare class knowledge, support portals need triage logic.
Design Considerations
- Trust. Skills influence agent behavior. Safeguards: user-inspectable (like page source), domain-scoped (like tools), advisory (agents serve users first). Browsers could enforce content policies on instructions.
- Discoverability. A
.well-known/webmcpmanifest could include skill declarations alongside tools. - Agnosticism.
instructionsis a hint for LLM-based agents. The structured context object and tools list are useful to any client. Non-LLM clients skip what they don't understand — same pattern asreadOnlyHint.
Open Questions
- New method (
registerSkill) or extension toprovideContext()? - Should
instructionsbe plain text, structured steps, or both? - How should skills interact with the agent's own system-level constraints?
Prior Art
- MCP prompts/resources — backend MCP's guidance and data primitives
- MCP-B — already bridges WebMCP to full MCP including prompts and resources via npm packages
- Claude Skills, Custom GPTs, LobeHub Skills — production patterns bundling instructions + tools + context
- 主要语言
- Bikeshed
- 星标
- 4.7k
- 派生
- 328
- 平均合并
- 2 天 15 小时
- 30 天内合并 PR
- 16
环境准备
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- Fork 仓库,在一个分支上完成修改。
- 提交 Pull Request,并在描述里引用这个 Issue 编号。
webmachinelearning/webmcp 的其他 Issue
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难度 1/5 1-3 小时 新手友好度 72/100
webmachinelearning/webmcp#360 ·
维护者通常 1 天内回复
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Say how an agent should weigh annotations that the page wrote about itself可能已有人在做 关联的 PR 仍在进行中或已合并。 未关闭
难度 2/5 1-3 小时 新手友好度 72/100
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难度 2/5 1-3 小时 新手友好度 67/100
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Agenda+ i18n-tracker
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a11y-tracker Agenda+
难度 2/5 1-3 小时 新手友好度 67/100
webmachinelearning/webmcp#272 · 4 条评论 · 2 个 reaction ·
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