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Agent Skill · 研究检索

eve-agentic-app-design(夏娃 Agent 应用程序设计)

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

eve-agentic-app-design 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 21,010。

总安装 5,010周安装 213GitHub Stars 公开资料未说明下载 1,755核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:eve-agentic-app-design(夏娃 Agent 应用程序设计)
来源仓库:https://github.com/incept5/eve-skillpacks
仓库路径:skills/eve-agentic-app-design
安装命令:
npx skills add https://github.com/incept5/eve-skillpacks --skill eve-agentic-app-design
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/incept5/eve-skillpacks --skill eve-agentic-app-design

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

eve-agentic-app-design 将全栈应用改造为以 Agent 为主要执行者的协同系统。适用于添加 Agent 能力、决策协调或通信机制到现有 Eve 应用。使用时应先加载 eve-fullstack-app-design 基础,再构建 Agent 间通信和记忆层。

安装命令为 npx skills add https://github.com/incept5/eve-skillpacks --skill eve-agentic-app-design。建议确认应用是否已具备 PaaS 基础,避免重复造轮子。

来源仓库内路径:skills/eve-agentic-app-design

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/incept5/eve-skillpacks --skill eve-agentic-app…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

eve-agentic-app-design 怎么安装?

在终端执行 npx skills add https://github.com/incept5/eve-skillpacks --skill eve-agentic-app-design。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

eve-agentic-app-design 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

eve-agentic-app-design 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

eve-agentic-app-design 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

eve-agentic-app-design 用的人多吗?

公开数据是累计安装 5,010 次,近一周安装 213 次,下载 1,755 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

eve-agentic-app-design 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
eve-agentic-app-design

夏娃 Agent 应用程序设计 · 本页

5,010—操作浏览器未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Agentic App Design on Eve Horizon

Transform a full-stack app into one where agents are primary actors — reasoning, coordinating, remembering, and communicating alongside humans.

When to Use

Load this skill when:

  • Designing an app where agents are primary users alongside (or instead of) humans
  • Adding agent capabilities to an existing Eve app
  • Choosing between human-first and agent-first architecture
  • Deciding how agents should coordinate, remember, and communicate

Prerequisite: Start with the Foundation

Load eve-fullstack-app-design first. The agentic layer builds on a solid PaaS foundation. Without a well-designed manifest, service topology, database, pipeline, and deployment strategy, agentic capabilities collapse into chaos.

The progression:

  1. eve-agent-native-design — Principles (parity, granularity, composability, emergent capability)
  2. eve-fullstack-app-design — PaaS foundation (manifest, services, DB, pipelines, deploys)
  3. This skill — Agentic layer (agents, teams, memory, events, chat, coordination)

Each layer assumes the previous. Skip none.

Agent Architecture

Defining Agents

Agents are defined in agents.yaml (path set via x-eve.agents.config_path in the manifest). Each agent is a persona with a skill, access scope, and policies.

version: 1
agents:
  coder:
    slug: coder
    description: "Implements features and fixes bugs"
    skill: eve-orchestration
    harness_profile: primary-coder
    access:
      envs: [staging]
      services: [api, worker]
    policies:
      permission_policy: auto_edit
      git:
        commit: auto
        push: on_success
    gateway:
      policy: routable

Design decisions for each agent:

DecisionOptionsGuidance
SlugLowercase, alphanumeric + dashesOrg-unique. Used for chat routing: @eve coder fix the login bug
SkillAny installed skill nameThe agent's core competency. One skill per agent.
Harness profileNamed profile from manifestDecouples agent from specific models. Use profiles, never hardcode harnesses.
Gateway policynone, discoverable, routableDefault to none. Make routable only for agents that should receive direct chat.
Permission policydefault, auto_edit, never, yoloStart with auto_edit for worker agents. Use default for agents that need human approval.
Git policiescommit, pushauto commit + on_success push for coding agents. never for read-only agents.

Designing Teams

Teams are defined in teams.yaml. A team groups agents under a lead with a dispatch strategy.

version: 1
teams:
  review-council:
    lead: mission-control
    members: [code-reviewer, security-auditor]
    dispatch:
      mode: council
      merge_strategy: majority
  deploy-ops:
    lead: ops-lead
    members: [deploy-agent, monitor-agent]
    dispatch:
      mode: relay

Choose the right dispatch mode:

ModeWhen to UseHow It Works
fanoutIndependent parallel workRoot job + parallel child per member. Best for decomposable tasks.
councilCollective judgmentAll agents respond, results merged by strategy (majority, unanimous, lead-decides). Best for reviews, audits.
relaySequential handoffLead delegates to first member, output passes to next. Best for staged workflows.

Design principle: Most work is fanout. Use council only when multiple perspectives genuinely improve the outcome. Use relay only when each stage's output is the next stage's input.

Harness Profiles

Define named profiles in the manifest. Agents reference profiles, never specific harnesses.

x-eve:
  agents:
    profiles:
      primary-coder:
        - harness: claude
          model: opus-4.5
          reasoning_effort: high
        - harness: codex
          model: gpt-5.2-codex
          reasoning_effort: high
      fast-reviewer:
        - harness: mclaude
          model: sonnet-4.5
          reasoning_effort: medium

Profile entries are a fallback chain: if the first harness is unavailable, the next is tried. Design profiles around capability needs, not provider loyalty.

Model Selection Guidance

Task TypeProfile Strategy
Complex coding, architectureHigh-reasoning model (opus, gpt-5.2-codex)
Code review, documentationMedium-reasoning model (sonnet, gemini)
Triage, routing, classificationFast model (haiku-equivalent, low reasoning)
Specialized domainsChoose the model with strongest domain performance

Memory Design

Load eve-agent-memory for the full storage primitive catalog. This section focuses on *architectural decisions*.

What Goes Where

Information TypeStorage PrimitiveWhy
Scratch notes during a jobWorkspace files (.eve/)Ephemeral, dies with the job
Job outputs passed to parentJob attachmentsSurvives job completion, addressable by job ID
Rolling conversation contextThreadsContinuity across sessions, summarizable
Curated knowledgeOrg Document StoreVersioned, searchable, shared across projects
File trees and assetsOrg Filesystem (sync)Bidirectional sync, local editing
Structured queriesManaged databaseSQL, relationships, RLS
Reusable workflowsSkillsHighest-fidelity long-term memory

Namespace Conventions

Organize org docs by agent and purpose:

/agents/{agent-slug}/learnings/      — discoveries and patterns
/agents/{agent-slug}/decisions/      — decision records
/agents/{agent-slug}/runbooks/       — operational procedures
/agents/shared/                      — cross-agent shared knowledge
/projects/{project-slug}/            — project-scoped knowledge

Lifecycle Strategy

Memory without expiry becomes noise. For every storage location, decide:

  1. Who writes? Which agents create and update this knowledge.
  2. Who reads? Which agents query it and when (job start? on demand?).
  3. When does it expire? Tag with creation dates. Build periodic cleanup jobs.
  4. How does it stay current? Search before writing. Update beats create.

Event-Driven Coordination

The Event Spine

Events are the nervous system of an agentic app. Use them for reactive automation — things that should happen *in response to* other things.

Trigger Patterns

TriggerEventResponse
Code pushed to maingithub.pushRun CI pipeline
PR openedgithub.pull_requestRun review council
Deploy pipeline failedsystem.pipeline.failedRun self-healing workflow
Job failedsystem.job.failedRun diagnostic agent
Org doc createdsystem.doc.createdNotify subscribers, update indexes
Scheduled maintenancecron.tickRun audit, cleanup, reporting
Custom app eventapp.*Application-specific automation

Self-Healing Pattern

Wire system failure events to recovery pipelines:

pipelines:
  self-heal:
    trigger:
      system:
        event: job.failed
        pipeline: deploy
    steps:
      - name: diagnose
        agent:
          prompt: "Diagnose the failed deploy and suggest a fix"

Custom App Events

Emit application-specific events from your services:

eve event emit --type app.invoice.created --source app --payload '{"invoice_id":"inv_123"}'

Wire these to workflows or pipelines in the manifest. Design your app's event vocabulary intentionally — events are the API between your app logic and your agent automation.

Chat and Human-Agent Interface

Gateway Architecture

Eve supports multiple chat providers through a unified gateway:

ProviderTransportBest For
SlackWebhookTeam collaboration, existing Slack workspaces
NostrSubscriptionDecentralized, privacy-focused, censorship-resistant
WebChatWebSocketBrowser-native, embedded in your app

Routing Design

Define routes in chat.yaml to map inbound messages to agents or teams:

version: 1
default_route: route_default
routes:
  - id: deploy-route
    match: "deploy|release|ship"
    target: agent:deploy-agent
  - id: review-route
    match: "review|PR|pull request"
    target: team:review-council
  - id: route_default
    match: ".*"
    target: agent:mission-control

Route targets can be agent:<key>, team:<key>, workflow:<name>, or pipeline:<name>.

Gateway vs Backend-Proxied Chat

ApproachWhen to Use
Gateway provider (WebSocket to Eve)Simple chat widgets, admin consoles, no backend needed
Backend-proxied (POST /internal/orgs/:id/chat/route)Production SaaS, when you need to intercept, enrich, or store conversations

If your app needs to add context, filter messages, or maintain its own chat history — proxy through your backend.

Thread Continuity

Chat threads maintain context across messages. Thread keys are scoped to the integration account. Design your chat UX to preserve thread context — agents are dramatically more effective when they can reference conversation history.

Jobs as Coordination Primitive

Parent-Child Orchestration

Jobs are the fundamental unit of agent work. Design complex workflows as job trees:

Parent (orchestrator)
├── Child A (research)
├── Child B (implementation)
└── Child C (testing)

The parent dispatches, waits, resumes, synthesizes. Children execute independently. Use waits_for relations to express dependencies. See eve-orchestration for full patterns.

Structured Context via Attachments

Pass structured data between agents using job attachments, not giant description strings:

# Child stores findings
eve job attach $EVE_JOB_ID --name findings.json --content '{"patterns": [...]}'

# Parent reads on resume
eve job attachment $CHILD_JOB_ID findings.json --out ./child-findings.json

Resource Refs for Document Mounting

Pin specific org document versions as job inputs:

eve job create \
  --description "Review the approved plan" \
  --resource-refs='[{"uri":"org_docs:/pm/features/FEAT-123.md@v3","label":"Plan","mount_path":"pm/plan.md"}]'

The document is hydrated into the workspace at the mount path. Events track hydration success or failure.

Coordination Threads

When teams dispatch work, a coordination thread (coord:job:{parent_job_id}) links parent and children. Children read .eve/coordination-inbox.md for sibling context. Post updates via eve thread post. The lead agent can eve supervise to monitor the job tree.

Access and Security

Service Accounts

Backend services need non-user tokens for API calls. Use eve auth mint to create scoped tokens:

eve auth mint --email app-bot@example.com --project proj_xxx --role admin

Design each service account with minimal necessary scope.

Access Groups

Segment data-plane access using groups. Groups control who can read/write org docs, org filesystem paths, and database schemas:

# .eve/access.yaml
version: 2
access:
  groups:
    eng-team:
      name: Engineering
      members:
        - type: user
          id: user_abc
  bindings:
    - subject: { type: group, id: eng-team }
      roles: [data-reader]
      scope:
        orgdocs: { allow_prefixes: ["/agents/shared/"] }
        envdb: { schemas: ["public"] }

Sync with eve access sync --file.eve/access.yaml --org org_xxx.

Agent Permission Policies

PolicyUse Case
defaultInteractive agents that need human approval for risky actions
auto_editWorker agents that edit code and files autonomously
neverRead-only agents (auditors, reviewers)
yoloFully autonomous agents in controlled environments (use carefully)

Policy-as-Code

Declare all access in .eve/access.yaml and sync declaratively. This ensures access is version-controlled, reviewable, and reproducible. See eve-auth-and-secrets for the full v2 policy schema.

The Agentic Checklist

Agent Architecture:

  • Agents defined in agents.yaml with clear slug, skill, and profile
  • Teams defined in teams.yaml with appropriate dispatch modes
  • Gateway policies set intentionally (not everything routable)
  • Chat routes defined for inbound message handling

Harness Profiles:

  • Harness profiles defined in manifest (agents reference profiles, not harnesses)
  • Fallback chains in profiles for resilience
  • Model choice matches task complexity

Memory:

  • Storage primitive chosen for each information type (see table above)
  • Namespace conventions established for org docs
  • Lifecycle and expiry strategy defined
  • Agents search before writing (update beats create)

Events:

  • Trigger patterns wired for key events (push, PR, failures)
  • Self-healing pipeline exists for deploy and job failures
  • Custom app events defined for domain-specific automation

Chat:

  • Gateway provider chosen (Slack, Nostr, WebChat, or multiple)
  • Chat routing configured (chat.yaml)
  • Gateway vs backend-proxied decision made
  • Thread continuity preserved in UX

Coordination:

  • Complex work decomposed as job trees (parent-child)
  • Attachments used for structured context passing
  • Coordination threads used for team communication
  • Resource refs used for document mounting

Security:

  • Service accounts created for backend services
  • Access groups defined for data-plane segmentation
  • Agent permission policies appropriate to each agent's role
  • Access policy declared as code (.eve/access.yaml)

The Real Test — Is This App Truly Agent-Native?

  • Agents can do everything users can (parity)
  • Adding capability means writing prompts, not code (composability)
  • Agents coordinate through platform primitives, not custom glue (granularity)
  • Agents have surprised you with unexpected solutions (emergent capability)

Cross-References

  • Principles: eve-agent-native-design — parity, granularity, composability, emergent capability
  • PaaS foundation: eve-fullstack-app-design — manifest, services, DB, pipelines, deploys
  • Storage primitives: eve-agent-memory — detailed guidance on each memory primitive
  • Job orchestration: eve-orchestration — depth propagation, parallel decomposition, control signals
  • Agents and teams reference: eve-read-eve-docs → references/agents-teams.md
  • Harness execution: eve-read-eve-docs → references/harnesses.md
  • Chat gateway: eve-read-eve-docs → references/gateways.md
  • Events and triggers: eve-read-eve-docs → references/events.md

平台分布

Codex

35.62%
按下载量换算625

Claude

27.76%
按下载量换算487

Cursor

19.85%
按下载量换算348

Gemini CLI

10.26%
按下载量换算180

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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