Agent skill

Route Optimization

by open-octo in open-octo/octo-agent

按地理位置给景点分组、设计每日行程动线,减少来回奔波,同时兼顾开放时间、 季节因素和人群构成。Use when 用户说"帮我排一下行程""这几天怎么安排比较 顺路""行程会不会来回跑冤枉路""这个季节去合不合适"。产出的是带理由的 逐日路线,不是一份不解释为什么这么排的景点清单。

MITAuto-check passed

Install Route Optimization

skills CLI
$ npx skills add open-octo/octo-agent --skill route-optimization -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install open-octo/octo-agent route-optimization --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/open-octo/octo-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/internal/skills/experts/route-optimization .claude/skills/route-optimization && rm -rf skills-src

Use ~/.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/

Facts

Skill name
route-optimization
GitHub stars
125
Token cost
~424 tokens
SKILL.md length
65 words
Files
3
Skills in repo
40
Repo updated
First seen
Licence
MIT

At a glance

按地理位置给景点分组、设计每日行程动线,减少来回奔波,同时兼顾开放时间、 季节因素和人群构成。Use when 用户说"帮我排一下行程""这几天怎么安排比较 顺路""行程会不会来回跑冤枉路""这个季节去合不合适"。产出的是带理由的 逐日路线,不是一份不解释为什么这么排的景点清单。

  • 用户说帮我排一下行程这几天怎么安排比较 顺路行程会不会来回跑冤枉路这个季节去合不合适。产出的是带理由的 逐日路线,不是一份不解释为什么这么排的景点清单
  • SKILL.md covers 景点分级, 每个景点要有的实用信息, 路线优化原则 and 季节感知, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Route Optimization is an agent skill from open-octo/octo-agent. 按地理位置给景点分组、设计每日行程动线,减少来回奔波,同时兼顾开放时间、 季节因素和人群构成。Use when 用户说"帮我排一下行程""这几天怎么安排比较 顺路""行程会不会来回跑冤枉路""这个季节去合不合适"。产出的是带理由的 逐日路线,不是一份不解释为什么这么排的景点清单。

Its SKILL.md is about 420 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `PROVENANCE.md`).

The repository describes itself as: Open-source, single-binary, self-hosted AI agent — your models and data stay on your machine. A coding agent on par with Claude Code and a personal assistant lighter than… The licence is MIT.

When your agent uses it

  • 用户说帮我排一下行程这几天怎么安排比较 顺路行程会不会来回跑冤枉路这个季节去合不合适。产出的是带理由的 逐日路线,不是一份不解释为什么这么排的景点清单

Example prompts

  • “帮我排一下行程”
  • “这几天怎么安排比较 顺路”
  • “行程会不会来回跑冤枉路”
  • “/route-optimization”

What it can do on your machine

Read from SKILL.md and the folder at commit fc1385f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    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

Route Optimization loads about 424 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 65 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~424

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 open-octo/octo-agent at commit fc1385f, republished under its MIT licence (© open-octo). 65 words, ~424 tokens.

Download SKILL.mdSave it as .claude/skills/route-optimization/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
route-optimization
description
按地理位置给景点分组、设计每日行程动线,减少来回奔波,同时兼顾开放时间、 季节因素和人群构成。Use when 用户说"帮我排一下行程""这几天怎么安排比较 顺路""行程会不会来回跑冤枉路""这个季节去合不合适"。产出的是带理由的 逐日路线,不是一份不解释为什么这么排的景点清单。
license
MIT (adapted from ErlebnisW/travel-planner, skills/trip-architect/instructions.md; complete terms in LICENSE.txt)
metadata.origin
景点分级体系(必去/推荐/可选/踩雷)、逐景点实用信息清单、路线优化 原则(地理就近分组、兼顾开放时间与人群构成)、季节感知(旺季/淡季/季节性 限定体验)、每条推荐必须附理由的输出要求,改编自 ErlebnisW/travel-planner 的…

Skill: route-optimization

行程不是"这几天分别去哪",是"怎么走最顺、最不浪费时间"。这个技能负责研究 目的地的景点,按地理位置和开放时间设计逐日路线,每条推荐都附上理由。

景点分级

把研究到的景点按下面四类分级,而不是笼统地列一堆"推荐去的地方":

分级说明
必去标志性、普遍推荐、代表这个目的地
推荐评价很高但不是必去
可选小众兴趣,时间充裕的话值得去
踩雷预警名气大但被高估/性价比低(说明为什么)

每个景点要有的实用信息

  • 开放时间和闭馆日
  • 门票价格和购票渠道(优先官方链接)
  • 最佳游览时段(上午vs下午、工作日vs周末)
  • 预计游览时长
  • 无障碍设施说明(如果相关)

路线优化原则

设计逐日路线时:

  • 地理就近分组:同一天安排地理位置相近的景点,减少往返路程。
  • 兼顾开放时间:不要把闭馆日安排上,也不要让路线依赖某个景点的 特定开放窗口却没留够时间。
  • 松紧搭配:一天高强度游览之后,安排一天相对轻松的内容,不要连续 排满高强度行程。
  • 人群构成适配:带娃的行程要考虑儿童友好度和体力消耗;商务/独自 出行可以排更紧凑的节奏。

季节感知

针对具体的出行月份,说明:

  • 当季的节庆、活动、特展
  • 天气对户外行程的影响
  • 旺季/淡季的人流差异
  • 只有这个季节才有的体验(不要放到淡季安排里)

拍照点位

如果用户对摄影感兴趣,标出:

  • 最佳光线的时间段
  • 具体的取景点位
  • 当月的日出日落时间

周边一日游

研究从落脚城市出发可行的一日游:

  • 交通方式和耗时
  • 值不值得去的判断
  • 是全天还是半天行程

输出要求

  • 每条推荐都要附理由——不能只列"去这个地方",要说明"为什么推荐这个"。
  • 引用信息来源(有网址的附网址)。
  • 用用户指定的语言输出。
  • 考虑用户说明的人群构成(比如家庭出行要标注哪些活动对儿童友好)和 兴趣、节奏偏好。

和其他技能的配合

预算相关的细节(门票价格加总、每日预算分配)交给 budget-allocation, 这个技能只负责路线本身,不做费用汇总。

边界

  • 不臆造具体的开放时间/票价——这类信息时效性强,用 web_search/ web_fetch 实际检索确认,检索不到就明确说"建议出行前再核实一次", 不要凭训练知识里的印象给出可能已经过时的具体数字。
  • 不忽略用户说明的约束(预算、体力、带娃)硬塞一个"标准最优路线"—— 路线要适配这次出行的实际情况。

© open-octo, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files in internal/skills/experts/route-optimization of open-octo/octo-agent.

  • SKILL.md
  • LICENSE.txt
  • PROVENANCE.md

Open the folder on GitHubat commit fc1385f

Compare with similar skills

Route Optimization 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.

Route Optimization compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Route Optimization this skillopen-octo/octo-agent125—~424Automated safety check: PassMIT
OmniRoute Routing CLIdiegosouzapw/OmniRoute74k1 repos~342Automated safety check: PassMIT
OmniRoute Combo Routingdiegosouzapw/OmniRoute74k—~2.1kAutomated safety check: PassMIT
Intelligence Routeruvnet/ruflo74k—~874Automated safety check: NotesMIT
SPA Routes and Featureslobehub/lobehub83k—~3.2kAutomated safety check: PassCustom licence
Routingalsk1992/CloddsBot2.9k—~1.6kAutomated safety check: PassMIT

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Questions about Route Optimization

What does Route Optimization do?

按地理位置给景点分组、设计每日行程动线,减少来回奔波,同时兼顾开放时间、 季节因素和人群构成。Use when 用户说"帮我排一下行程""这几天怎么安排比较 顺路""行程会不会来回跑冤枉路""这个季节去合不合适"。产出的是带理由的 逐日路线,不是一份不解释为什么这么排的景点清单。. Route Optimization is an agent skill from open-octo/octo-agent.

When should I use Route Optimization?

Route Optimization fits situations like: 用户说帮我排一下行程这几天怎么安排比较 顺路行程会不会来回跑冤枉路这个季节去合不合适。产出的是带理由的 逐日路线,不是一份不解释为什么这么排的景点清单.

How do I install Route Optimization in Claude Code?

Run `npx skills add open-octo/octo-agent --skill route-optimization -a claude-code`. Or copy the skill folder (internal/skills/experts/route-optimization in open-octo/octo-agent) into .claude/skills/route-optimization in your project. Claude Code loads it when a task matches its description.

How do I install Route Optimization in Codex?

Run `npx skills add open-octo/octo-agent --skill route-optimization -a codex`. Or copy the skill folder (internal/skills/experts/route-optimization in open-octo/octo-agent) into .agents/skills/route-optimization in your project. Codex loads it when a task matches its description.

Can I use Route Optimization 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 open-octo/octo-agent --skill route-optimization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/route-optimization, .gemini/skills/route-optimization, .github/skills/route-optimization and .opencode/skills/route-optimization in your project.

What does Route Optimization need to run?

SKILL.md names no scripts, command-line tools or credentials: Route Optimization is instructions for the agent only.

Does Route Optimization 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 Route Optimization 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 Route Optimization use?

Route Optimization is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Route Optimization use?

About 424 tokens (SKILL.md is roughly 1.7k 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 Route Optimization?

Skills that share tags, products or a category with Route Optimization: OmniRoute Routing CLI (diegosouzapw/OmniRoute, 74k stars), OmniRoute Combo Routing (diegosouzapw/OmniRoute, 74k stars), Intelligence Route (ruvnet/ruflo, 74k stars) and SPA Routes and Features (lobehub/lobehub, 83k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Route Optimization?

open-octo (a GitHub organization) maintains it in open-octo/octo-agent, which has 125 GitHub stars. The repository holds 40 skills in this directory. The repository was last updated on October 8, 2026.

Source: open-octo/octo-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.