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akm-fashion-strategistAkm 时尚策略师

Agent Skill

akm-fashion-strategist 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

5,117

周安装

207

GitHub Stars

公开资料未说明

下载量

1,606
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:akm-fashion-strategist(Akm 时尚策略师)
来源仓库:https://github.com/sirsws/akm-fashion-strategist
安装命令:
openclaw skills install akm-fashion-strategist
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install akm-fashion-strategist

简介

akm-fashion-strategist 基于身体环境、场景和衣柜资产建模,输出个性化服装决策。

  • 适合需要穿搭建议、衣橱管理和风格规划的 OpenClaw 用户。
  • 可结合功能限制和时间预算生成可行方案。
  • 安装命令为 openclaw skills install akm-fashion-strategist,建议确认体型参数和偏好设置。
  • 使用前需评估是否涉及图像识别、尺寸匹配或品牌数据调用。

SKILL.md

name
akm-fashion-strategist
description
AKM implementation for wardrobe and outfit decision workflows. Models body context, scenes, wardrobe assets, and functional constraints before outputting styling decisions.

AKM Fashion

AKM Fashion is a profile-first wardrobe and outfit decision skill for real scene and asset constraints.

It does not start with a moodboard. It starts by modeling the operator: body context, scenes, wardrobe assets, functional needs, purchase tolerance, and anti-patterns.

Quick Reference

ItemDetails
Primary outcomea wardrobe-aware outfit or purchase decision
Best use casewhen generic styling advice fails because the user's real wardrobe and scene constraints matter
Public sourcehttps://github.com/sirsws/akm/tree/main/branches/fashion
Sample recordhttps://github.com/sirsws/akm/blob/main/branches/fashion/skill/SAMPLE_RECORD.md
Research paperhttps://papers.ssrn.com/sol3/papers.cfm?abstract_id=6231466
Install sourcehttps://github.com/sirsws/akm

Public Links

  • GitHub branch: https://github.com/sirsws/akm/tree/main/branches/fashion
  • Skill files: https://github.com/sirsws/akm/tree/main/branches/fashion/skill
  • Sample record: https://github.com/sirsws/akm/blob/main/branches/fashion/skill/SAMPLE_RECORD.md
  • Branch paper: https://github.com/sirsws/akm/tree/main/branches/fashion/paper
  • SSRN paper: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6231466

Installation

ClawHub / OpenClaw:

  • install from this listing

Skills CLI:

npx skills add https://github.com/sirsws/akm --skill akm-fashion-strategist --full-depth

What This Skill Changes

Most styling agents answer too early.

They do not know what the user already owns, which scenes matter, what body issues need handling, or which functional constraints dominate the decision. That is where generic taste talk starts.

AKM Fashion changes the order of operations: profile first, decision second.

When to Use

Use this skill when:

  • the user needs scene-specific outfit decisions
  • current wardrobe assets materially constrain the solution space
  • comfort and function matter, not only aesthetics
  • purchase priorities are more useful than vague inspiration
  • generic style advice keeps missing the real problem

Do not use this skill when:

  • the user only wants casual fashion chat
  • image recognition or virtual try-on is being requested
  • the wardrobe state is unknown and the user refuses to provide it
  • the user wants pure aesthetic moodboarding without operational decisions

Core Rule

No wardrobe model, no serious styling decision.

If the necessary state is unclear, the skill should surface MissingInputs instead of pretending the wardrobe is already known.

Workflow

  1. ELICITATION_PROMPT.md
  2. RECORD_TEMPLATE.md
  3. EXECUTION_PROMPT.md
  4. SAMPLE_RECORD.md

Output Contract

Outputs should include:

  • SceneJudgment
  • OutfitRecommendation
  • WhyThisWorks
  • GapAnalysis
  • PurchasePriority
  • MissingInputs

Operating Boundary

AKM Fashion is a wardrobe decision aid. It is not an image-recognition tool, not a virtual try-on product, and not a generic taste generator that hides missing context behind aesthetic language.

Files to Load

Read these files before running the skill:

  • ELICITATION_PROMPT.md
  • RECORD_TEMPLATE.md
  • EXECUTION_PROMPT.md
  • SAMPLE_RECORD.md

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

76.99%
按下载量换算1,236

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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