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AKM Fitness

作者 sirsws · GitHub ↗ · v1.0.2 · MIT-0
cross-platform ✓ 安全检测通过
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版本数
在 OpenClaw 中安装
/install akm-fitness-planner
功能描述
AKM implementation for training decision workflows. Models goals, body limits, equipment context, time budget, and recovery before outputting a workout decis...
使用说明 (SKILL.md)

AKM Fitness

AKM Fitness is a profile-first training decision skill for real-world constraints.

It does not start with a workout template. It starts by modeling the operator: goals, body limits, equipment reality, time budget, recovery state, and adherence risk.

Quick Reference

Item Details
Primary outcome a constraint-aware training decision
Best use case when generic workout advice fails because the user's actual constraints matter
Public source https://github.com/sirsws/akm/tree/main/branches/fitness
Sample record https://github.com/sirsws/akm/blob/main/branches/fitness/skill/SAMPLE_RECORD.md
Research paper https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6231465
Install source https://github.com/sirsws/akm

Public Links

  • GitHub branch: https://github.com/sirsws/akm/tree/main/branches/fitness
  • Skill files: https://github.com/sirsws/akm/tree/main/branches/fitness/skill
  • Sample record: https://github.com/sirsws/akm/blob/main/branches/fitness/skill/SAMPLE_RECORD.md
  • Branch paper: https://github.com/sirsws/akm/tree/main/branches/fitness/paper
  • SSRN paper: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6231465

Installation

ClawHub / OpenClaw:

  • install from this listing

Skills CLI:

npx skills add https://github.com/sirsws/akm --skill akm-fitness-planner --full-depth

What This Skill Changes

Most fitness agents answer too early.

They assume the user has one clear goal, normal recovery, enough time, stable equipment, and no meaningful body limitation. That assumption is usually false.

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

When to Use

Use this skill when:

  • injuries or physical limits materially affect training choices
  • equipment availability changes what is realistic
  • time budget is hard and cannot be ignored
  • recovery state should alter the decision
  • generic training plans keep failing in practice

Do not use this skill when:

  • the user only wants casual fitness chat
  • a medical diagnosis is being requested
  • rehabilitation planning should be handled by a qualified clinician
  • critical inputs are missing and the user refuses to provide them

Core Rule

No profile, no serious plan.

If the necessary state is unclear, the skill should surface MissingInputs instead of fabricating confidence.

Workflow

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

Output Contract

Outputs should include:

  • StateJudgment
  • PrimaryDecision
  • DecisionConfidence
  • Plan
  • RiskNotes
  • NonNegotiables
  • MissingInputs

Operating Boundary

AKM Fitness is a training decision aid. It is not a medical diagnosis tool, not a rehab replacement, and not a motivational wrapper for missing information.

Files to Load

Read these files before running the skill:

  • ELICITATION_PROMPT.md
  • RECORD_TEMPLATE.md
  • EXECUTION_PROMPT.md
  • SAMPLE_RECORD.md\r
安全使用建议
This is an instruction-only fitness decision skill: it contains prompts and templates for eliciting user goals, constraints, equipment, time budget, and recovery, and produces structured workout decisions. It does not request secrets, install code, or access system files. Before installing, verify the GitHub repo owner (https://github.com/sirsws/akm) if provenance matters to you, and remember this is a decision aid—not medical advice; avoid using it for diagnosis or rehab planning without a qualified clinician. If you plan to feed sensitive personal medical history, consider redacting identifiable details and ensure you’re comfortable with how the agent/platform stores conversation data.
功能分析
Type: OpenClaw Skill Name: akm-fitness-planner Version: 1.0.2 The skill bundle consists of structured Markdown prompts and documentation for a fitness planning assistant called AKM Fitness. The logic is designed to elicit user constraints (injuries, equipment, time) and generate workout decisions based on a 'profile-first' methodology. There is no evidence of malicious code, data exfiltration, or harmful prompt injection; all instructions are strictly aligned with the stated fitness-related purpose and the installation commands provided are standard for the OpenClaw ecosystem.
能力评估
✓ Purpose & Capability
Name and description match the provided prompt files and sample record: the package is a three-stage (elicitation → record → execution) fitness decision aid. No env vars, binaries, or config paths are requested that would be unrelated to this purpose.
✓ Instruction Scope
SKILL.md and the included prompt files limit runtime instructions to eliciting user health/training state and producing structured decisions. They do not instruct reading arbitrary system files, environment variables, or sending data to external endpoints beyond citing public GitHub/SSRN links for provenance.
✓ Install Mechanism
No install spec and no code files present; it's instruction-only, so nothing will be written to disk or executed by an installer as part of the skill package itself.
✓ Credentials
The skill requires no credentials, binaries, or config paths. All required inputs are user-provided fitness/profile data, which is proportionate to a decision-aid fitness skill.
✓ Persistence & Privilege
always is false and there is no install-time behavior that modifies other skills or system-wide settings. disable-model-invocation is false (normal), meaning the agent can invoke the skill autonomously per platform defaults; this is expected and not, by itself, a red flag.
如何使用
  1. 确保已安装 OpenClaw（本地或 Docker 部署）
  2. 在对话框中输入安装命令：/install akm-fitness-planner
  3. 安装完成后，直接呼叫该 Skill 的名称或使用 /akm-fitness-planner 触发
  4. 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
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.
元数据
Slug akm-fitness-planner
版本 1.0.2
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 3
常见问题

AKM Fitness 是什么？

AKM implementation for training decision workflows. Models goals, body limits, equipment context, time budget, and recovery before outputting a workout decis... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 149 次。

如何安装 AKM Fitness？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install akm-fitness-planner」即可一键安装，无需额外配置。

AKM Fitness 是免费的吗？

是的，AKM Fitness 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

AKM Fitness 支持哪些平台？

AKM Fitness 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 AKM Fitness？

由 sirsws（@sirsws）开发并维护，当前版本 v1.0.2。

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