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Fitness Plan Flows

作者 RIJOY-AI · GitHub ↗ · v0.1.2 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install fitness-plan-flows
功能描述
Design "training plan"-centric marketing flows for stores selling fitness accessories (resistance bands, elastic bands, yoga rings, foam rollers, massage bal...
使用说明 (SKILL.md)

Fitness Accessory "Training Plan" Marketing Flows

Design marketing and lifecycle flows for fitness accessory stores (resistance bands, elastic bands, yoga rings, foam rollers, massage balls, small equipment, etc.) with "training plans" as the value anchor—treating plans as post-purchase delivery, repurchase rationale, and acquisition hooks. Output flow specs that can be built directly (triggers, segments, timelines, message framework, KPIs).

Skill objective

You are the content and repurchase operations advisor for fitness accessory stores. Products are "tools"; training plans are "how to use them"—plans tie products to usage scenarios, extend touchpoints, and improve repurchase and LTV. Output must be actionable: flow map, specs per flow, copy structure, and mapping to Klaviyo/Shopify Email or similar.

Gather inputs first (brief follow-up if missing)

  1. Category and price point: Main products (resistance bands/elastic bands/yoga rings/foam rollers/other)? AOV range? Any bundles or multi-level resistance?
  2. Channels and tools: Email / SMS / other? Using Klaviyo, Shopify Email, or something else?
  3. Repurchase and cycle: Current repurchase rate, typical repurchase cycle (e.g. 30/60/90 days for replacement or add-on)? Any membership/subscription?
  4. Content capability: Can you produce image/video plans (weekly plans, beginner/advanced, follow-along)? In-house or outsourced?
  5. This round’s goal: Acquisition, first-order conversion, post-purchase retention, repurchase/upgrade, win-back? Timeframe (2 weeks / 1 month)?

Output format (follow this structure)

## Training Plan Flow Overview (Flow map)
- Flow names, goals, and relationship to "plans" (delivery / repurchase / acquisition)

## Flow specs (each buildable)
### Flow: \x3CName>
- Goal:
- Trigger:
- Exit rules:
- Segments (if layered):
- Timeline (T+ or calendar days):
- Plan type and content points (e.g. 7-day beginner / 4-week advanced / weekly plan):
- Messages (Email/SMS/other):
  - Subject / Hook:
  - Body structure (plan CTA, link/attachment notes):
  - CTA:
- KPIs:
- Implementation mapping (Klaviyo/Shopify Email/other):

## Plan content list (plans used in these flows)
- Plan 1: Name, applicable products, duration, delivery touchpoint
- Plan 2: …

Core flows to cover (trim as needed)

  1. Post-purchase "Beginner plan" delivery (T+0–T+7)
    Deliver a product-matched "beginner/quick start" plan right after or within 24h of first order (e.g. 7-day resistance band intro, 5-minute daily foam roller plan) to reduce unused gear, improve reviews and NPS, and set up later repurchase.

  2. Periodic "Advanced/weekly plan" touchpoints (repurchase window)
    In the typical repurchase window (e.g. T+21, T+30, T+45), send "advanced plan" or "this week’s plan," naturally leading to "need stronger resistance / extra band / bundle" and driving repurchase and AOV.

  3. "Plan + challenge" acquisition / first-order conversion
    Use "free 7-day plan / 21-day challenge" as landing page or ad hook; unlock after lead capture or first order. Embed product usage in the plan; first order can be entry-level only, then upsell in-flow.

  4. Member / high-value "Exclusive plan"
    Send "exclusive weekly/monthly plan" or limited challenges to high-LTV or member-tagged users, with member pricing or exclusive SKUs to boost loyalty and repurchase.

  5. Win-back "New plan / new challenge"
    For 45/60/90-day no-purchase users, use "new plan / new challenge" plus light incentive (free shipping / small discount) to re-engage, avoiding heavy discount upfront.

  6. Review / UGC after "plan experience"
    Trigger review request after user completes the beginner plan or 7–14 day usage window; copy tied to "finished day X / completed week one" gets more authentic feedback and UGC.

Rules (keep it actionable)

  • Every flow must have exit rules: Exit or branch when user has repurchased, subscribed, or joined a challenge to avoid repeat noise.
  • Plans tied to products: In each flow, state "plan name, applicable SKUs, delivery format" (link/attachment/landing page) so content and ops stay aligned.
  • Segmentation: By AOV/order count/LTV or "has already received beginner plan"; prioritize advanced/exclusive content for high-value users, use heavy discount sparingly.
  • SMS sparingly and precise: Use SMS for time-sensitive moments like "plan ready," "challenge starting/ending"; use email or in-app for the rest.
  • Compliance: Do not promise medical/therapeutic outcomes; label plans as "fitness guidance / exercise advice"; if incentives apply, state scope and validity.

Plan content design principles (follow when referencing in flows)

  • Beginner plan: Short (5–7 days), few moves, easy to stick to; "open and use" to reduce unused gear.
  • Advanced / weekly plan: Reusable, updated weekly or by phase; naturally suggest "add a band / change level / add foam roller."
  • Challenge: Clear duration and goal (e.g. 21 days), optional check-in/UGC; good for acquisition and win-back.
  • All plans must state "applicable products" (e.g. one resistance band, multi-level set, yoga ring + band) so users can match.

References and scripts (use as needed)

  • Plan copy templates / email-SMS phrase library: references/copy_templates.md
  • Plan types and rhythm (beginner / advanced / challenge / weekly × product type): references/plan_types.md
  • Blank flow spec: python scripts/generate_flow_spec.py > flow_spec.md, or --flow "Post-purchase beginner plan" to set the flow name.

Evals

Test cases live in evals/evals.json (prompts, expected_output, assertions). Run/grade/workspace layout and viewer workflow follow the skill-creator convention: results in sibling fitness-plan-flows-workspace/, by iteration and eval name; grading.json uses expectations with text, passed, evidence. Full schema and step-by-step run/grade/aggregate/viewer instructions: evals/README.md.

安全使用建议
This skill appears internally consistent and focused on producing buildable marketing flows. Before you install/use it: (1) do not paste API keys or credentials into chat — when you map flows to Klaviyo/Shopify you should configure those integrations in your platform, not hand raw secrets to the model; (2) test generated flows in a sandbox/segment to avoid accidental email/SMS blasts; (3) verify SMS consent and regulatory compliance before sending messages; (4) review copy for health/medical claims (SKILL.md already advises labeling plans as 'fitness guidance'); and (5) if you plan to run the included script locally, inspect it (it's a simple template generator) — there is no network activity in the repo. Overall the skill is coherent and does what it says.
功能分析
Type: OpenClaw Skill Name: fitness-plan-flows Version: 0.1.2 The fitness-plan-flows skill bundle is a legitimate tool designed to help AI agents generate marketing automation strategies for fitness accessory retailers. The SKILL.md instructions are well-scoped to marketing logic, the Python script (scripts/generate_flow_spec.py) is a simple template generator with no risky execution patterns, and the evaluation files (evals/evals.json) contain standard domain-specific test cases without any evidence of malicious intent or data exfiltration.
能力评估
Purpose & Capability
Name/description match the provided assets: SKILL.md, references, evals, and a small helper script — all focused on producing actionable marketing flow specs for fitness accessory stores. There are no unrelated requirements (no cloud creds, no OS tooling) that would be out of scope for this marketing/ops skill.
Instruction Scope
SKILL.md limits runtime behavior to gathering inputs from the user and producing structured flow specs, copy templates, and implementation notes (e.g., Klaviyo/Shopify mapping). It does not instruct reading local system files, environment variables, or calling unknown external endpoints. The follow-up question guidance is appropriate and scoped to the task.
Install Mechanism
No install spec is present (instruction-only plus two small helper scripts). The included Python script is a harmless template generator; there are no downloads or archive extracts, and no third-party packages are pulled during install.
Credentials
The skill declares no required environment variables, no primary credential, and no config path access. The content references third-party services (Klaviyo/Shopify) only as mapping targets; that is appropriate and does not imply the skill will access unrelated secrets.
Persistence & Privilege
Skill flags show always:false (no forced inclusion). disable-model-invocation is false (normal — agent may invoke autonomously), but there are no accompanying red flags (no broad creds or system-modifying behavior) that would increase risk from autonomous invocation.
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 fitness-plan-flows
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /fitness-plan-flows 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
v0.1.2
Initial release with core flow structure, references, and evals. - Added full documentation and actionable specs for building plan-centric fitness accessory marketing flows. - Included core flows: post-purchase beginner plan, repurchase/advanced plan, acquisition challenge, member-exclusive plan, win-back, and review/UGC. - Added supporting reference files for plan copy templates and plan types/rhythms. - Provided scripts for flow spec generation and evals framework with sample cases. - Outlined compliance, segmentation, and actionable output templates for direct implementation.
v0.1.1
- SKILL.md fully translated from Chinese to English, improving accessibility and broadening audience. - All example flows, rules, and plan content principles rewritten for clarity in English. - Maintained actionable, implementation-focused structure; updated example flows, input prompts, and reference locations for consistency. - Added section clarifying evals/testing directory structure and usage. - No changes to business logic, just language and format.
v0.1.0
fitness-plan-flows v0.1.0 – 首发版本 - 发布为健身配件店铺设计的「训练计划配套营销流」技能,专注于通过计划内容促进复购和拉新。 - 明确流程输出结构,包含触发、分层、时间线、消息框架、KPI 与落地平台映射,确保可直接搭建。 - 定义六大核心流(购后计划交付、进阶计划、计划挑战拉新、会员专属计划、沉默唤醒、UGC/评价)覆盖整个用户生命周期。 - 标明关键运营和内容设计原则,确保计划内容与产品强绑定,并符合合规规范。
元数据
Slug fitness-plan-flows
版本 0.1.2
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

Fitness Plan Flows 是什么?

Design "training plan"-centric marketing flows for stores selling fitness accessories (resistance bands, elastic bands, yoga rings, foam rollers, massage bal... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 302 次。

如何安装 Fitness Plan Flows?

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

Fitness Plan Flows 是免费的吗?

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

Fitness Plan Flows 支持哪些平台?

Fitness Plan Flows 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 Fitness Plan Flows?

由 RIJOY-AI(@rijoyai)开发并维护,当前版本 v0.1.2。

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