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concept2concept2 搜索

Agent Skill

concept2 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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下载量

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:concept2(concept2 搜索)
来源仓库:https://github.com/katla50/concept2
安装命令:
openclaw skills install concept2
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install concept2

简介

通过 API 获取 Concept2 运动日志数据进行锻炼分析。

  • 提供心率区间分析与趋势跟踪可视化支持。concept2 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 适用于划船、滑雪与骑行等耐力运动的数据管理需求。
  • 支持导出 CSV 格式供第三方工具进一步处理使用。
  • 需注册合法账户并获取 OAuth token 方可调用数据接口。

SKILL.md

name
concept2
description
Fetch and analyze Concept2 Logbook workout data via API with pulse zone analysis and trend tracking. Use when the user wants to retrieve rowing/skiing/biking workouts, analyze heart rate zones, track training trends over time, get workout summaries with performance insights, or evaluate training effectiveness. Features include pulse zone distribution (5-zone model), weekly trend analysis, pace consistency evaluation, improvement tracking, and personalized training recommendations. Requires Concept2 API access token.

Concept2 Logbook API Skill

Fetch and analyze workout data from Concept2 Logbook with advanced pulse zone and trend analysis.

Quick Start

Use the provided script to fetch workouts:

python3 scripts/fetch_workouts.py --token <API_TOKEN> --from-date 2026-03-01 --format table

API Authentication

Requires a Concept2 API access token. Get one from: https://log.concept2.com/developers/keys

Token must be passed with Authorization: Bearer <token> header.

Main Endpoints

EndpointDescription
GET /api/users/meGet authenticated user info
GET /api/users/me/resultsGet workouts (paginated)
GET /api/users/me/results/{id}Get specific workout
GET /api/users/me/results/{id}/strokesGet stroke-level data

Query Parameters for Results

ParamTypeDescription
fromdateStart date (YYYY-MM-DD)
todateEnd date (YYYY-MM-DD)
typestringWorkout type: rower, skierg, bike, etc.
per_pageintegerResults per page (max 250)

Workout Types

TypeDescription
JustRowFree rowing
FixedDistanceSplitsFixed distance with splits
FixedTimeSplitsFixed time with splits
FixedCalorieFixed calorie target
FixedWattMinuteFixed watt-minute target
FixedTimeIntervalTime-based intervals
FixedDistanceIntervalDistance-based intervals
FixedCalorieIntervalCalorie intervals
FixedWattMinuteIntervalWatt-minute intervals
VariableIntervalVariable intervals
VariableIntervalUndefinedRestVariable with undefined rest

Equipment Types

TypeDescription
rowerRowErg
skiergSkiErg
bikeBikeErg
dynamicDynamic RowErg
slidesRowErg with slides
paddlePaddleErg
waterWaterRower
snowSnow (Nordic skiing)
rollerskiRoller skiing
multiergMultiErg

Script Usage

Basic Usage - Summary with Pulse Zones

# Auto-detect max HR from birthdate in profile
python3 scripts/fetch_workouts.py --token <TOKEN> --from-date 2026-03-01

# Specify max HR manually
python3 scripts/fetch_workouts.py --token <TOKEN> --max-hr 165 --from-date 2026-02-01

# Estimate max HR from age
python3 scripts/fetch_workouts.py --token <TOKEN> --age 59 --from-date 2026-02-01

Trend Analysis (8 weeks)

python3 scripts/fetch_workouts.py --token <TOKEN> --trends 8 --from-date 2026-01-01

Other Formats

# Simple table
python3 scripts/fetch_workouts.py --token <TOKEN> --format table

# JSON export
python3 scripts/fetch_workouts.py --token <TOKEN> --format json > workouts.json

# Filter by equipment type
python3 scripts/fetch_workouts.py --token <TOKEN> --type skierg

Pulse Zone Analysis (5-Zone Model)

Zones based on percentage of maximum HR:

ZoneNameRangePurpose
🟢 1Restitusjon0-60%Recovery, warmup
🔵 2Aerob kapasitet60-70%Base building
🟡 3Aerob effekt70-80%Tempo training
🟠 4Anaerob terskel80-90%Threshold/intervals
🔴 5Maks kapasitet90-100%VO2max/sprints

Max HR Calculation

  • Manual: --max-hr 165
  • From age: --age 59 (uses Tanaka formula: 208 - 0.7×age)
  • From profile: reads birthdate from user data

Trend Analysis

Weekly aggregation of:

  • Total distance
  • Total time
  • Number of workouts
  • Average pace
  • Improvement rate (pace change %)

Workout Quality Metrics

Pace Consistency

  • Calculated from split data if available
  • Standard deviation / average pace
  • Rating: 🟢 Jevn | 🟡 OK | 🔴 Ujevn

Stroke Rate (SPM) Assessment

  • 🟢 18-22: Efficient, strong drive
  • 🔵 <18: Fast recovery phase
  • 🟡 24-28: Tempo pace
  • 🟠 >30: High rate, check technique

Training Recommendations

The script provides personalized tips:

  • Training frequency assessment
  • High intensity balance (20% rule for zones 4-5)
  • Long workout suggestions
  • Interval training reminders

Common Calculations

Calculate Pace

pace_tenths = (time_tenths / distance_m) * 500

Format Time

total_seconds = time_tenths / 10
minutes = int(total_seconds // 60)
seconds = total_seconds % 60
formatted = f"{minutes}:{seconds:04.1f}"

Distance Format

  • Stored in meters
  • 5000 = 5km

Stroke Data

  • Distance in decimeters (incremental)
  • Time in tenths of seconds (incremental)
  • Pace in tenths of sec per 500m (rower) or 1000m (bike)

Error Codes

CodeMeaningResolution
200OKSuccess
201CreatedResource created successfully
400Bad RequestCheck request format
401UnauthorizedInvalid or expired token
403ForbiddenUser hasn't authorized app
404Not FoundResource doesn't exist
409ConflictDuplicate entry
422UnprocessableValidation error
500Server ErrorTry again later
503Service UnavailableAPI temporarily down

Pagination

Paginated responses include a meta.pagination object:

{
  "meta": {
    "pagination": {
      "total": 150,
      "count": 50,
      "per_page": 50,
      "current_page": 1,
      "total_pages": 3,
      "links": {
        "next": "https://log.concept2.com/api/users/me/results?page=2"
      }
    }
  }
}

Default per_page is 50, maximum is 250.

See Also

  • Full API docs: https://log.concept2.com/developers/documentation/
  • API keys: https://log.concept2.com/developers/keys
  • Online validator: https://log.concept2.com/developers/validator

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

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按下载量换算1,977

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权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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