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daily-strava-roast每日斯特拉瓦烤肉

Agent Skill

daily-strava-roast 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

总安装

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周安装

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下载量

2,138
OpenClaw

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:daily-strava-roast(每日斯特拉瓦烤肉)
来源仓库:https://github.com/ranasalalali/daily-strava-roast
安装命令:
openclaw skills install daily-strava-roast
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 daily-strava-roast

简介

生成 Strava 锻炼活动的趣味点评,提供幽默回顾与激励反馈。

  • 适合健身爱好者、跑步社群或社交账号运营者增加互动乐趣。
  • 基于活动数据生成个性化调侃内容,增强用户粘性。
  • 需绑定 Strava 账户并授权读取运动记录,否则无法获取数据。
  • 建议适度使用,避免过度戏谑影响社区氛围。daily-strava-roast 属于效率类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
daily-strava-roast
description
Generate a playful or sharp daily roast of recent Strava activity. Use when asked to roast, recap, tease, or humorously summarize a Strava workout or a recent day of training. Useful for scheduled daily activity roasts, playful fitness summaries, or lightly sarcastic post-workout commentary. Prefer the deterministic package/script for data prep and fallback; when running inside OpenClaw, use the connected/default runtime model only for the final paragraph if available, then fall back to the deterministic roast path on failure.

Daily Strava Roast

Use this skill to turn recent Strava activity into a short roast-style summary.

Default workflow

  1. Use the deterministic implementation first to fetch and summarize activity.
  2. If you are inside OpenClaw and want the V2 path, use the structured context/prompt output as model input for the final paragraph only.
  3. If connected-model generation is unavailable or weak, fall back to the deterministic roast output.
  4. Do not pretend the standalone Python package has a built-in OpenClaw connected-model API if it does not.

What this skill does

This skill provides:

  • deterministic Strava fetch + summary tooling
  • adjustable tones and spice levels
  • V1 roast fallback that is stable and testable
  • V2 context/prompt building for better final-paragraph generation in the OpenClaw runtime

Preferred commands

Use the packaged CLI for deterministic preparation and fallback:

uv run --project {baseDir} daily-strava-roast summary --json --pretty
uv run --project {baseDir} daily-strava-roast context --pretty
uv run --project {baseDir} daily-strava-roast prompt
uv run --project {baseDir} daily-strava-roast roast

Do not rely on the removed legacy script path. Use the packaged CLI commands only.

Runtime guidance

When invoked inside OpenClaw for an actual roast reply:

  • run deterministic preparation first
  • use the connected/default runtime model only to write the final roast paragraph
  • keep that paragraph to one short paragraph
  • do not invent stats
  • if generation fails, return the deterministic roast instead of erroring

Runtime recipe

Use this sequence:

  1. Build context JSON:
uv run --project {baseDir} daily-strava-roast context --pretty
  1. Build the constrained prompt:
uv run --project {baseDir} daily-strava-roast prompt
  1. Ask the connected/default OpenClaw runtime model to write the final paragraph from that prompt.
  2. Before replying, sanity-check the generated paragraph:

- exactly one paragraph - one or two sentences max unless unusually short - no bullet points - no invented stats - no stat dump; usually no more than two concrete metrics unless a third really earns its place - not generic AI filler - avoids banned phrases, stale identity/relationship jokes, pet phrases, and over-clever wording - avoids poetic or cosmic phrasing - tone matches requested spice/tone closely enough

  1. If the paragraph fails those checks or generation is unavailable, fall back to:
uv run --project {baseDir} daily-strava-roast roast

Fallback triggers

Fall back immediately if any of these happen:

  • no connected/default runtime model is available
  • generated output is empty
  • generated output invents numbers, activities, or claims not present in the prompt/context
  • generated output is multiple paragraphs or list-like
  • generated output crams in too many stats without real comedic payoff
  • generated output uses banned phrases or obvious close variants
  • generated output leans on stale identity, relationship, or defining-trait jokes
  • generated output leans on polished LLM-clever wording instead of dry mockery
  • generated output drifts into poetic, cosmic, or overly ornate phrasing
  • generated output is obviously generic, repetitive, or less readable than the deterministic roast

When falling back:

  • do not apologize unless the user needs to know
  • just return the deterministic roast text

When working purely from the repo/CLI:

  • treat connected-model generation as a runtime concern, not a packaged-CLI feature
  • keep the deterministic path working without extra runtime dependencies

Inputs

By default the skill reads Strava app config from:

~/.openclaw/secure/strava_app.json

And by default the token file is:

~/.openclaw/workspace/agents/tars-fit/strava_tokens.json

Normal auth behaviour:

  • treat ~/.openclaw/secure/strava_app.json as the canonical app-credentials source
  • if setup already exists, expired access tokens should refresh automatically using the refresh token
  • if Strava still returns 401, retry once after a forced refresh
  • if the token file is missing, invalid, or missing required fields, treat that as initial setup required and tell the user clearly
  • if the token file exists but app credentials are missing or incomplete, return config_incomplete clearly
  • if setup exists but refresh/reauthorisation is needed, return the reauth-required path instead of pretending it is a rest day
  • avoid depending on sourced shell profiles for routine auth

Use this to inspect auth readiness:

uv run --project {baseDir} daily-strava-roast auth-url

Use JSON mode when another agent needs machine-readable status:

uv run --project {baseDir} daily-strava-roast roast --json --pretty

Tones

Supported tones:

  • dry
  • playful
  • savage
  • coach

Spice

Spice controls roast intensity:

  • 0 — gentle
  • 1 — light tease
  • 2 — proper roast
  • 3 — scorched earth

References

Read as needed:

  • references/design.md for roast heuristics and failure cases
  • docs/V2.md for the V2 architecture and package/runtime boundary

适合场景

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OpenClaw 用户查找和安装 Skill 时

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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

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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。

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安装前确认

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