\u8fd0\u52a8\u5206\u6790\u5668\u6280\u80fd workflow skill. Use this skill when the user needs \u5206\u6790\u8fd0\u52a8\u6570\u636e\u3001\u8bc6\u522b\u8fd0\u52a8\u6a21\u5f0f\u3001\u8bc4\u4f30\u5065\u8eab\u8fdb\u5c55\uff0c\u5e76\u63d0\u4f9b\u4e2a\u6027\u5316\u8bad\u7ec3\u5efa\u8bae\u3002\u652f\u6301\u4e0e\u6162\u6027\u75c5\u6570\u636e\u7684\u5173\u8054\u5206\u6790\u3002 and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Une commande directe contourne le prompt de vérification. Examinez la source avant de l'exécuter.
\u8fd0\u52a8\u5206\u6790\u5668\u6280\u80fd workflow skill. Use this skill when the user needs \u5206\u6790\u8fd0\u52a8\u6570\u636e\u3001\u8bc6\u522b\u8fd0\u52a8\u6a21\u5f0f\u3001\u8bc4\u4f30\u5065\u8eab\u8fdb\u5c55\uff0c\u5e76\u63d0\u4f9b\u4e2a\u6027\u5316\u8bad\u7ec3\u5efa\u8bae\u3002\u652f\u6301\u4e0e\u6162\u6027\u75c5\u6570\u636e\u7684\u5173\u8054\u5206\u6790\u3002 and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/fitness-analyzer from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.
Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.
This intake keeps the copied upstream files intact and uses metadata.json plus ORIGIN.md as the provenance anchor for review.
运动分析器技能 分析运动数据，识别运动模式，评估健身进展，并提供个性化训练建议。
Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: 功能, 输出格式, 分析周期, 运动量趋势, 运动频率, 强度分布.
When to Use This Skill
Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.
需要分析运动记录、训练强度、运动习惯或健身进展时使用。
任务涉及跑步、力量训练、耐力或柔韧性等维度的趋势与改进建议。
需要把运动数据与其他健康模块做关联分析时使用。
Use when the request clearly matches the imported source intent: 分析运动数据、识别运动模式、评估健身进展，并提供个性化训练建议。支持与慢性病数据的关联分析。.
Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
Use when provenance needs to stay visible in the answer, PR, or review packet.
Operating Table
Situation
Start here
Why it matters
First-time use
metadata.json
Confirms repository, branch, commit, and imported path before touching the copied workflow
Provenance review
ORIGIN.md
Gives reviewers a plain-language audit trail for the imported source
Workflow execution
SKILL.md
Starts with the smallest copied file that materially changes execution
Supporting context
SKILL.md
Adds the next most relevant copied source file without loading the entire package
Handoff decision
## Related Skills
Helps the operator switch to a stronger native skill when the task drifts
Workflow
This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.
Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
Read the overview and provenance files before loading any copied upstream support files.
Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
Validate the result against the upstream expectations and the evidence you can point to in the copied files.
Escalate or hand off to a related skill when the work moves out of this imported workflow's center of gravity.
Before merge or closure, record what was used, what changed, and what the reviewer still needs to verify.
Imported Workflow Notes
Imported: 功能
1. 运动趋势分析
分析运动量、频率、强度的变化趋势，识别改善或需要调整的方面。
分析维度：
运动量趋势（时长、距离、卡路里）
运动频率趋势（每周运动天数）
强度分布变化（低/中/高强度占比）
运动类型偏好变化
输出：
趋势方向（改善/稳定/下降）
变化幅度和百分比
趋势显著性
改进建议
2. 运动进步追踪
追踪特定运动类型的进步情况，量化健身效果。
支持的进步追踪：
跑步进步：配速提升、距离增加、心率改善
力量训练进步：重量增加、容量提升、RPE变化
耐力进步：运动时长增加、距离延长
柔韧性进步：关节活动度改善
输出：
开始值 vs 当前值
改善百分比
进步可视化
达成的里程碑
3. 运动习惯分析
识别用户的运动习惯和模式。
分析内容：
常用运动时间（早晨/下午/晚上）
运动频率模式（每周几天）
运动类型偏好
休息日分布
运动一致性评分
输出：
习惯总结
一致性评分（0-100）
优化建议
习惯养成建议
4. 相关性分析
分析运动与其他健康指标的相关性。
支持的相关性分析：
运动 ↔ 体重：运动消耗与体重变化的关系
运动 ↔ 血压：运动对血压的长期影响
运动 ↔ 血糖：运动对血糖控制的效果
运动 ↔ 情绪/睡眠：运动对情绪和睡眠的影响
输出：
相关系数（-1到1）
相关性强度（弱/中/强）
统计显著性
因果关系推断
实践建议
5. 个性化建议生成
基于用户数据生成个性化运动建议。
建议类型：
运动频率建议：是否需要增加/减少运动频率
运动强度建议：强度调整建议
运动类型建议：推荐尝试的运动类型
运动时间建议：最佳运动时间
恢复建议：休息和恢复建议
建议依据：
WHO/ACSM/AHA运动指南
用户运动历史数据
用户健康状况
用户健身目标
Examples
Example 1: Ask for the upstream workflow directly
Use @fitness-analyzer to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.
Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.
Example 2: Ask for a provenance-grounded review
Review @fitness-analyzer against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.
Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.
Example 3: Narrow the copied support files before execution
Use @fitness-analyzer for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.
Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.
Example 4: Build a reviewer packet
Review @fitness-analyzer using the copied upstream files plus provenance, then summarize any gaps before merge.
Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.
Best Practices
Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.
Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
Treat generated examples as scaffolding; adapt them to the concrete task before execution.
Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.
Troubleshooting
Problem: The operator skipped the imported context and answered too generically
Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills-claude/skills/fitness-analyzer, fails to mention provenance, or does not use any copied source files at all.
Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Load only the files that materially change the answer, then restate the provenance before continuing.
Problem: The imported workflow feels incomplete during review
Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task.
Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.
Problem: The task drifted into a different specialization
Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better.
Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.
Related Skills
@00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
@10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
@20-andruia-niche-intelligence-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
@2d-games - Use when the work is better handled by that native specialization after this imported skill establishes context.
Additional Resources
Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.
Resource family
What it gives the reviewer
Example path
references
copied reference notes, guides, or background material from upstream
references/n/a
examples
worked examples or reusable prompts copied from upstream
examples/n/a
scripts
upstream helper scripts that change execution or validation
scripts/n/a
agents
routing or delegation notes that are genuinely part of the imported package
agents/n/a
assets
supporting assets or schemas copied from the source package
