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Pull real-time training plans, workouts, fitness metrics (CTL/ATL/TSB), and personal records from TrainingPeaks. Uses cookie-based authentication (no API key needed). Use in conjunction with other endurance, cycling, running or swimming triathlon coach skills for best results.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/duclm1x1/Dive-Ai --skill trainingpeaks命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
正在显示 SKILL.md
基于 SOC 职业分类
| name | trainingpeaks |
| description | Pull real-time training plans, workouts, fitness metrics (CTL/ATL/TSB), and personal records from TrainingPeaks. Uses cookie-based authentication (no API key needed). Use in conjunction with other endurance, cycling, running or swimming triathlon coach skills for best results. |
CLI access to the TrainingPeaks internal API. Pure Python stdlib — no pip dependencies.
app.trainingpeaks.comProduction_tpAuthThen authenticate:
python3 scripts/tp.py auth "<paste_cookie_value_here>"
Or set the environment variable (useful for CI/scripts):
export TP_AUTH_COOKIE="<cookie_value>"
Credentials are stored in ~/.trainingpeaks/ with 0600 permissions.
auth <cookie> — AuthenticateStore and validate a Production_tpAuth cookie. Exchanges it for a Bearer token and caches the athlete ID.
python3 scripts/tp.py auth "eyJhbGci..."
# ✓ Authenticated successfully!
# Account: user@example.com
# Athlete ID: 12345
# Token expires in: 60 minutes
auth-status — Check Authenticationpython3 scripts/tp.py auth-status
# Cookie: stored (file)
# Token: valid (42m remaining)
# Athlete ID: 12345
# ✓ Ready
profile [--json] — Athlete Profilepython3 scripts/tp.py profile
# Profile
# ════════════════════════════════════════
# Name: Ruben Example
# Email: ruben@example.com
# Athlete ID: 12345
# Account: Premium
# Bike FTP: 280 W
workouts <start> <end> [--filter all|planned|completed] [--json]List workouts in a date range (max 90 days).
# All workouts this week
python3 scripts/tp.py workouts 2026-01-26 2026-02-01
# Only completed workouts
python3 scripts/tp.py workouts 2026-01-01 2026-01-31 --filter completed
# Raw JSON for scripting
python3 scripts/tp.py workouts 2026-01-26 2026-02-01 --json
Output columns: Date, Title, Sport, Status (✓/○), Planned duration, Actual duration, TSS, Distance.
workout <id> [--json] — Workout DetailGet full details for a single workout including description, coach comments, and all metrics.
python3 scripts/tp.py workout 123456789
# Workout: Tempo Intervals 3x10min
# ══════════════════════════════════════════════════
# Date: 2026-01-28
# Sport: Bike
# Status: Completed ✓
# ...
fitness [--days 90] [--json] — CTL/ATL/TSBGet fitness (CTL), fatigue (ATL), and form (TSB) data.
# Last 90 days (default)
python3 scripts/tp.py fitness
# Full season
python3 scripts/tp.py fitness --days 365
# JSON for charts
python3 scripts/tp.py fitness --json
Shows a summary with current CTL/ATL/TSB and status interpretation, plus a 14-day daily table.
peaks <sport> <pr_type> [--days 3650] [--json] — Personal RecordsGet ranked personal records by sport and metric.
# Best 20-minute power (all time)
python3 scripts/tp.py peaks Bike power20min
# 5K running PRs from last year
python3 scripts/tp.py peaks Run speed5K --days 365
# 5-second max power
python3 scripts/tp.py peaks Bike power5sec
Valid PR types:
| Sport | Types |
|---|---|
| Bike | power5sec, power1min, power5min, power10min, power20min, power60min, power90min, hR5sec, hR1min, hR5min, hR10min, hR20min, hR60min, hR90min |
| Run | hR5sec–hR90min, speed400Meter, speed800Meter, speed1K, speed1Mi, speed5K, speed5Mi, speed10K, speed10Mi, speedHalfMarathon, speedMarathon, speed50K |
~/.trainingpeaks/token.json~/.trainingpeaks/cookie| File | Purpose |
|---|---|
~/.trainingpeaks/cookie | Stored Production_tpAuth cookie |
~/.trainingpeaks/token.json | Cached OAuth Bearer token + expiry |
~/.trainingpeaks/config.json | Cached athlete ID and account info |
YYYY-MM-DD formatTP_AUTH_COOKIE environment variable overrides stored cookie--json gives raw API responses