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sirsws

AKM Fashion

by sirsws · GitHub ↗ · v1.0.2 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install akm-fashion-strategist
Description
AKM implementation for wardrobe and outfit decision workflows. Models body context, scenes, wardrobe assets, and functional constraints before outputting sty...
README (SKILL.md)

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

Item Details
Primary outcome a wardrobe-aware outfit or purchase decision
Best use case when generic styling advice fails because the user's real wardrobe and scene constraints matter
Public source https://github.com/sirsws/akm/tree/main/branches/fashion
Sample record https://github.com/sirsws/akm/blob/main/branches/fashion/skill/SAMPLE_RECORD.md
Research paper https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6231466
Install source https://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\r
Usage Guidance
This skill appears internally consistent for wardrobe and outfit decision workflows. Before installing or providing personal data: 1) if you use the documented 'npx skills add https://github.com/sirsws/akm' command, understand that code will be fetched from the external GitHub repo — inspect that repo for unexpected scripts before running installs; 2) the skill will ask for detailed body and wardrobe information (sensitive personal data). Provide only what you are comfortable sharing and avoid including personally identifying text or images unless you trust the runtime environment; 3) because the registry package is instruction-only here, the runtime behavior is just prompt-driven logic — still confirm that the installed repository/version matches the listing and has no additional code that could run; 4) if you need lower risk, use the skill interactively (copy the prompts locally) rather than installing external code. Overall there are no red flags in the provided files, but follow normal caution when fetching external repositories and sharing personal details.
Capability Analysis
Type: OpenClaw Skill Name: akm-fashion-strategist Version: 1.0.2 The skill bundle defines a structured, multi-stage workflow for fashion styling and wardrobe management. It consists entirely of Markdown-based prompts and documentation (e.g., SKILL.md, ELICITATION_PROMPT.md, EXECUTION_PROMPT.md) designed to elicit user constraints and provide outfit recommendations. No malicious code, data exfiltration logic, or harmful prompt injection instructions were identified; all external links point to legitimate research and code hosting platforms like SSRN and GitHub.
Capability Assessment
✓ Purpose & Capability
Name, description, and included files all focus on wardrobe profiling and decision workflows. There are no unrelated environment variables, binaries, or config paths requested.
✓ Instruction Scope
Runtime instructions are limited to loading the included prompt/record files (ELICITATION_PROMPT.md, RECORD_TEMPLATE.md, EXECUTION_PROMPT.md, SAMPLE_RECORD.md) and producing structured outputs. The prompts explicitly forbid assuming wardrobe inventory and require surfacing MissingInputs. No instructions reference system files, secrets, or external endpoints beyond public GitHub/SSRN links in documentation.
ℹ Install Mechanism
The registry entry contains no formal install spec (it's instruction-only), but SKILL.md documents installing from a public GitHub repo via 'npx skills add https://github.com/sirsws/akm'. That is a normal publish/install workflow, but it means installing will fetch external code from GitHub — review the remote repo before running installs.
✓ Credentials
The skill requests no environment variables, credentials, or config paths. The data it asks users to provide (body shape, wardrobe assets, preferences) is personal but expected for the stated function; no unexplained secrets are requested.
✓ Persistence & Privilege
Flags are default (always:false, user-invocable:true, model invocation allowed). The skill does not request persistent system privileges or attempt to modify other skills or global config in the provided files.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install akm-fashion-strategist
  3. After installation, invoke the skill by name or use /akm-fashion-strategist
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.2
Add public sample record and clean source links.
v1.0.1
Cleaned ClawHub landing page content and removed internal comments.
v1.0.0
Initial public release.
Metadata
Slug akm-fashion-strategist
Version 1.0.2
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 3
Frequently Asked Questions

What is AKM Fashion?

AKM implementation for wardrobe and outfit decision workflows. Models body context, scenes, wardrobe assets, and functional constraints before outputting sty... It is an AI Agent Skill for Claude Code / OpenClaw, with 168 downloads so far.

How do I install AKM Fashion?

Run "/install akm-fashion-strategist" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is AKM Fashion free?

Yes, AKM Fashion is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does AKM Fashion support?

AKM Fashion is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created AKM Fashion?

It is built and maintained by sirsws (@sirsws); the current version is v1.0.2.

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