Coach
felixrieseberg/claude-coach
Create personalized triathlon, marathon, and ultra-endurance training plans.
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. An agent skill from huifer/WellAlly-health.
Install Fitness Analyzer
$ npx skills add huifer/WellAlly-health --skill fitness-analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install huifer/WellAlly-health fitness-analyzer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/huifer/WellAlly-health.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/fitness-analyzer .claude/skills/fitness-analyzer && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "fitness-analyzer" agent skill from https://github.com/huifer/WellAlly-health/tree/main/skills/fitness-analyzer into .claude/skills/fitness-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fitness-analyzer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/huifer/WellAlly-health/tree/main/skills/fitness-analyzerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add huifer/WellAlly-health --skill fitness-analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install huifer/WellAlly-health fitness-analyzer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huifer/WellAlly-health.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/fitness-analyzer .agents/skills/fitness-analyzer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "fitness-analyzer" agent skill from https://github.com/huifer/WellAlly-health/tree/main/skills/fitness-analyzer into .agents/skills/fitness-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fitness-analyzer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add huifer/WellAlly-health --skill fitness-analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install huifer/WellAlly-health fitness-analyzer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huifer/WellAlly-health.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/fitness-analyzer .cursor/skills/fitness-analyzer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "fitness-analyzer" agent skill from https://github.com/huifer/WellAlly-health/tree/main/skills/fitness-analyzer into .cursor/skills/fitness-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fitness-analyzer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/huifer/WellAlly-health.git --path skills/fitness-analyzer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add huifer/WellAlly-health --skill fitness-analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install huifer/WellAlly-health fitness-analyzer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huifer/WellAlly-health.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/fitness-analyzer .gemini/skills/fitness-analyzer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "fitness-analyzer" agent skill from https://github.com/huifer/WellAlly-health/tree/main/skills/fitness-analyzer into .gemini/skills/fitness-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fitness-analyzer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install huifer/WellAlly-health fitness-analyzerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add huifer/WellAlly-health --skill fitness-analyzer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/huifer/WellAlly-health.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/fitness-analyzer .github/skills/fitness-analyzer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "fitness-analyzer" agent skill from https://github.com/huifer/WellAlly-health/tree/main/skills/fitness-analyzer into .github/skills/fitness-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fitness-analyzer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add huifer/WellAlly-health --skill fitness-analyzer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install huifer/WellAlly-health fitness-analyzer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/huifer/WellAlly-health.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/fitness-analyzer .opencode/skills/fitness-analyzer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "fitness-analyzer" agent skill from https://github.com/huifer/WellAlly-health/tree/main/skills/fitness-analyzer into .opencode/skills/fitness-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fitness-analyzer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
fitness-analyzer- GitHub stars
- 960
- Used in
- 5 other repos
- Token cost
- ~1.3k tokens
- SKILL.md length
- 273 words
- Files
- 1
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- MIT
At a glance
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. An agent skill from huifer/WellAlly-health.
- Works in 9 steps: 运动趋势分析 → 运动进步追踪 → 运动习惯分析 → …
- Tasks that involve Health and fitness tracking
- SKILL.md covers 功能, 输出格式, 数据源 and 算法说明, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Fitness Analyzer is an agent skill from huifer/WellAlly-health. 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。
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Productivity & Automation, covering Health and fitness tracking. The repository describes itself as: Ally-Health is an intelligent healthcare assistant that harnesses advanced AI technology and medical expertise to transform personal health management. Through natural language…. The licence is MIT.
When your agent uses it
- Tasks that involve Health and fitness tracking
Example prompts
- “/fitness-analyzer”
Requirements
- Pre-approved tools (allowed-tools): Read, Grep, Glob, Write
Workflow steps
9 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit f604350. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadGrepGlobWrite
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown and bash).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Fitness Analyzer loads about 1.3k tokens when it runs. Until then it costs about 16 tokens; SKILL.md has 273 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from huifer/WellAlly-health at commit f604350, republished under its MIT licence (© huifer). 273 words, ~1,315 tokens.
Download SKILL.mdSave it as
.claude/skills/fitness-analyzer/SKILL.md (or your agent's skills folder).- name
- fitness-analyzer
- description
- 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。
- allowed-tools
- Read, Grep, Glob, Write
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。
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
输出格式
趋势分析报告
# 运动趋势分析报告
## 分析周期
2025-03-20 至 2025-06-20（3个月）
## 运动量趋势
### 运动时长
- 趋势：⬆️ 上升
- 开始：平均120分钟/周
- 当前：平均180分钟/周
- 变化：+50%（+60分钟/周）
- 解读：运动量显著增加，表现优秀
### 卡路里消耗
- 趋势：⬆️ 上升
- 开始：平均960卡/周
- 当前：平均1440卡/周
- 变化：+50%
- 解读：运动消耗增加，有助于体重管理
### 运动距离
- 趋势：⬆️ 上升
- 开始：平均10公里/周
- 当前：平均20公里/周
- 变化：+100%
- 解读：耐力显著提升
## 运动频率
- 当前频率：4天/周
- 目标频率：4-5天/周
- 状态：✅ 达标
- 建议：保持当前频率
## 强度分布
| 强度 | 占比 | 变化 |
|------|------|------|
| 低强度 | 25% | +5% |
| 中等强度 | 55% | -10% |
| 高强度 | 20% | +5% |
**分析**：强度分布合理，中等强度占主导，符合有氧运动建议。
## 运动类型分布
| 运动类型 | 占比 |
|---------|------|
| 跑步 | 50% |
| 瑜伽 | 25% |
| 力量训练 | 25% |
**建议**：可以适当增加力量训练比例至30-40%。
## 洞察与建议
### 优势
1. ✅ 运动量稳定增长，(+50%)
2. ✅ 运动频率稳定，每周4天
3. ✅ 休息日充足，恢复良好
### 改进建议
1. 📈 每周增加2次力量训练
2. 📈 尝试不同运动类型避免单调
3. 📈 适当增加高强度间歇训练(HIIT)
### 警示
1. ⚠️ 注意运动强度不宜过高，控制在中等强度为主相关性分析报告
# 运动与血压相关性分析
## 数据来源
- 运动数据：fitness-logs (2025-03-20 至 2025-06-20)
- 血压数据：hypertension-tracker (同期)
## 分析结果
### 相关系数
- 变量：每周运动时长 ↔ 收缩压
- 相关系数：r = -0.68
- 相关性强度：**强负相关**
- 统计显著性：p < 0.01 **高度显著**
### 解读
运动时长与收缩压呈强负相关，意味着：
- 运动越多，血压越低
- 每增加30分钟运动，收缩压平均下降3-5 mmHg
### 实践建议
1. ✅ 继续保持规律运动，每周5-7天
2. ✅ 每次运动30-60分钟，中等强度
3. ✅ 优先选择有氧运动（快走、慢跑、骑行）
4. ⚠️ 避免憋气动作和突然爆发性运动
### 医学参考
- AHA声明：规律有氧运动可降低收缩压5-7 mmHg
- 您的运动效果：降低约10 mmHg，效果显著！进步追踪报告
# 跑步进步追踪
## 分析周期
2025-01-01 至 2025-06-20（6个月）
## 配速进步
| 指标 | 开始 | 当前 | 改善 |
|------|------|------|------|
| 平均配速 | 7:30 min/km | 6:00 min/km | +20% ⬆️ |
| 最快配速 | 7:00 min/km | 5:30 min/km | +22% ⬆️ |
| 5公里用时 | 37:30 | 30:00 | +20% ⬆️ |
**趋势**：配速持续稳定提升，进步显著！
## 距离进步
| 指标 | 开始 | 当前 | 改善 |
|------|------|------|------|
| 最长单次距离 | 3 km | 12 km | +300% ⬆️ |
| 月度总距离 | 40 km | 86 km | +115% ⬆️ |
| 平均距离 | 5 km | 6 km | +20% ⬆️ |
**趋势**：耐力大幅提升，可以完成更长距离。
## 心率改善
| 指标 | 开始 | 当前 | 改善 |
|------|------|------|------|
| 静息心率 | 78 bpm | 72 bpm | -6 bpm ⬇️ |
| 相同配速心率 | 155 bpm | 145 bpm | -10 bpm ⬇️ |
**分析**：心肺功能显著改善，相同配速下心率降低。
## 里程碑
- ✅ 2025-03-15：首次完成5公里跑
- ✅ 2025-05-20：首次完成10公里跑
- ✅ 2025-06-10：配速突破6:00 min/km
## 下一步目标
- 🎯 完成半程马拉松（21公里）
- 🎯 配速提升至5:30 min/km
- 🎯 尝试间歇训练提升速度数据源
主要数据源
运动日志
- 路径：
data/fitness-logs/YYYY-MM/YYYY-MM-DD.json - 内容：运动记录（类型、时长、强度、心率、距离等）
- 频率：每次运动后更新
- 路径：
用户档案
- 路径：
data/fitness-tracker.json - 内容：用户档案、健身目标、统计数据
- 更新：定期更新
- 路径：
健康数据关联
data/hypertension-tracker.json（血压数据）data/diabetes-tracker.json（血糖数据）data/profile.json（体重、BMI等）
数据质量检查
- 数据完整性：检查必要字段是否存在
- 数据合理性：检查数值是否在合理范围内
- 时间一致性：检查时间戳是否合理
- 重复数据：检测并处理重复记录
算法说明
1. 线性回归趋势分析
使用线性回归分析运动数据的时间趋势。
公式： y = a + bx
其中：
- y：运动指标（时长、卡路里、距离等）
- x：时间
- a：截距
- b：斜率（趋势方向和速度）
解释：
- b > 0：上升趋势
- b < 0：下降趋势
- b ≈ 0：稳定
2. Pearson相关系数
用于分析两个变量之间的线性相关性。
公式： r = Σ[(xi - x̄)(yi - ȳ)] / √[Σ(xi - x̄)² × Σ(yi - ȳ)²]
范围：-1 ≤ r ≤ 1
解释：
- r = 1：完全正相关
- r = -1：完全负相关
- r = 0：无线性相关
强度判断：
- |r| < 0.3：弱相关
- 0.3 ≤ |r| < 0.7：中等相关
- |r| ≥ 0.7：强相关
3. 配速计算
配速 = 运动时长 / 距离
单位：min/km 或 min/mile
示例：
- 30分钟跑5公里
- 配速 = 30 / 5 = 6 min/km
4. MET能量代谢计算
卡路里消耗 = MET × 体重(kg) × 时间(小时)
常见运动的MET值：
- 走路（3-5 km/h）：3.5-5 MET
- 慢跑（8 km/h）：8 MET
- 快跑（10 km/h）：10 MET
- 游泳：6-10 MET
- 骑行（休闲）：4 MET
- 力量训练：5 MET
- 瑜伽：3 MET
医学安全边界
⚠️ 重要声明 本分析仅供健康参考，不构成医疗建议。
分析能力范围
✅ 能做到：
- 运动数据统计和分析
- 趋势识别和可视化
- 相关性计算和解释
- 一般性运动建议
❌ 不做到：
- 疾病诊断
- 运动风险评估
- 具体运动处方设计
- 运动损伤诊断和治疗
危险信号检测
在分析过程中检测以下危险信号：
心率异常
- 运动心率 > 95%最大心率
- 静息心率 > 100 bpm
血压异常
- 收缩压 ≥ 180 mmHg
- 舒张压 ≥ 110 mmHg
过度训练迹象
- 连续7天高强度运动
- 运动感受持续下降（RPE > 17）
体重快速下降
- 每周减重 > 1kg（可能不健康）
建议分级
Level 1: 一般性建议
- 基于WHO/ACSM指南
- 适用于一般人群
Level 2: 参考性建议
- 基于用户数据
- 需结合个人情况
Level 3: 医疗建议
- 涉及疾病管理
- 需医生确认
使用示例
示例1：生成运动趋势报告
/fitness trend 3months输出：
- 3个月运动趋势分析
- 运动量、频率、强度变化
- 洞察和建议
示例2：追踪跑步进步
/fitness analysis progress running输出：
- 配速进步
- 距离进步
- 心率改善
- 里程碑达成
示例3：分析运动与血压相关性
/fitness analysis correlation blood_pressure输出：
- 相关系数
- 相关性强度
- 显著性检验
- 实践建议
技能版本: v1.0 最后更新: 2026-01-02 维护者: WellAlly Tech
© huifer, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/fitness-analyzer of huifer/WellAlly-health.
Open the folder on GitHubat commit f604350
Used in 5 other repositories
We found 15 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 5 other GitHub owners. This page covers the copy in huifer/WellAlly-health, which our catalogue first saw on October 7, 2026.
- sickn33/agentic-awesome-skillsskills/fitness-analyzerplugins/agentic-awesome-skills/skills/fitness-analyzer+1 more
- lingxling/awesome-skills-cnantigravity-awesome-skills/skills/fitness-analyzerantigravity-awesome-skills/plugins/agentic-awesome-skills/skills/fitness-analyzer+1 more
- FreedomIntelligence/OpenClaw-Medical-Skillsskills/fitness-analyzer
- henryalouf/ruflow.agents/skills/fitness-analyzer.agents/skills/antigravity-awesome-skills/skills/fitness-analyzer+4 more
- BioTender-max/awesome-bio-agent-skillsskills/openclaw/fitness-analyzer
Compare with similar skills
Fitness Analyzer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Fitness Analyzer this skillhuifer/WellAlly-health | 960 | 5 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Coachfelixrieseberg/claude-coach | 199 | 1 repos | ~4.9k | Automated safety check: Pass | MIT | |
| Master Ajahn Chahxr843/Master-skill | 447 | 1 repos | ~2k | Automated safety check: Pass | CC-BY-NC-SA-4.0 | |
| GhealthGoogle-Health-API/google-health-cli | 266 | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Crisis Detection Intervention AIcuriositech/some_claude_skills | 244 | 2 repos | ~3.8k | Automated safety check: Pass | MIT | |
| Section 11CrankAddict/section-11 | 156 | — | ~5.2k | Automated safety check: Pass | MIT |
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Categories
Questions about Fitness Analyzer
What does Fitness Analyzer do?
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. An agent skill from huifer/WellAlly-health. Fitness Analyzer is an agent skill from huifer/WellAlly-health.
When should I use Fitness Analyzer?
Fitness Analyzer fits situations like: tasks that involve Health and fitness tracking.
How do I install Fitness Analyzer in Claude Code?
Run `npx skills add huifer/WellAlly-health --skill fitness-analyzer -a claude-code`. Or copy the skill folder (skills/fitness-analyzer in huifer/WellAlly-health) into .claude/skills/fitness-analyzer in your project. Claude Code loads it when a task matches its description.
How do I install Fitness Analyzer in Codex?
Run `npx skills add huifer/WellAlly-health --skill fitness-analyzer -a codex`. Or copy the skill folder (skills/fitness-analyzer in huifer/WellAlly-health) into .agents/skills/fitness-analyzer in your project. Codex loads it when a task matches its description.
Can I use Fitness Analyzer in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add huifer/WellAlly-health --skill fitness-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fitness-analyzer, .gemini/skills/fitness-analyzer, .github/skills/fitness-analyzer and .opencode/skills/fitness-analyzer in your project.
What does Fitness Analyzer need to run?
SKILL.md names no scripts, command-line tools or credentials: Fitness Analyzer is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Glob, Write.
Does Fitness Analyzer access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Fitness Analyzer safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Fitness Analyzer use?
Fitness Analyzer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Fitness Analyzer use?
About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Fitness Analyzer?
Skills that share tags, products or a category with Fitness Analyzer: Coach (felixrieseberg/claude-coach, 199 stars), Master Ajahn Chah (xr843/Master-skill, 447 stars), Ghealth (Google-Health-API/google-health-cli, 266 stars) and Crisis Detection Intervention AI (curiositech/some_claude_skills, 244 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Fitness Analyzer?
huifer (a GitHub user) maintains it in huifer/WellAlly-health, which has 960 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on July 16, 2026.
Source: huifer/WellAlly-health on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.