分析健康目标数据、识别目标模式、评估目标进度,并提供个性化目标管理建议。支持与营养、运动、睡眠等健康数据的关联分析。
Scanned 9/12/2026
Install to Claude Code
npx -y skills add FrancoStino/opencode-skills-collection --skill goal-analyzer --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: goal-analyzer
description: 分析健康目标数据、识别目标模式、评估目标进度,并提供个性化目标管理建议。支持与营养、运动、睡眠等健康数据的关联分析。
allowed-tools: Read, Grep, Glob, Write
risk: critical
source: community
date_added: "2026-09-04"
---
# 健康目标分析器技能
分析健康目标数据,识别目标模式和进度,评估目标达成情况,并提供个性化目标管理建议。
## Detailed Guide
Read [the detailed guide](references/detailed-guide.md) before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.
## When to Use
- 你需要评估健康目标是否符合 SMART 原则,并识别目标设定中的薄弱点。
- 你想跟踪目标进度,并结合营养、运动、睡眠等健康数据做关联分析。
- 你需要面向个人健康管理的目标优化建议、风险提示和阶段性调整方案。
## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.