Agent skill

Job Advisor

从招聘平台(闲鱼兼职、Boss直聘、智联、拉勾、58同城、豆瓣兼职等)抓取招聘信息,根据用户输入的个人特征(技能、地点、时间、薪资期望、工作形式偏好)匹配适合的长期雇佣或临时工机会,按性价比(加权时薪)排序,输出 markdown 推荐报告到当前项目的 markdown 目录。当用户提出"找工作"、"匹配岗位"、"接私活"、"找兼职"、"招聘推荐"、"什么活适合我"等需求时触发。

GPL-2.0Auto-check passedDocuments & Office

Install Job Advisor

skills CLI

$ npx skills add digoal/blog --skill job-advisor -a claude-code

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

GitHub CLI

$ gh skill install digoal/blog job-advisor --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/digoal/blog.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/job-advisor .claude/skills/job-advisor && 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/

Paste into Claude Code

Install the "job-advisor" agent skill from https://github.com/digoal/blog/tree/master/skills/job-advisor into .claude/skills/job-advisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "job-advisor", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/digoal/blog/tree/master/skills/job-advisor

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add digoal/blog --skill job-advisor -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install digoal/blog job-advisor --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/job-advisor .agents/skills/job-advisor && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "job-advisor" agent skill from https://github.com/digoal/blog/tree/master/skills/job-advisor into .agents/skills/job-advisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "job-advisor", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add digoal/blog --skill job-advisor -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install digoal/blog job-advisor --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/job-advisor .cursor/skills/job-advisor && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "job-advisor" agent skill from https://github.com/digoal/blog/tree/master/skills/job-advisor into .cursor/skills/job-advisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "job-advisor", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/digoal/blog.git --path skills/job-advisor

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add digoal/blog --skill job-advisor -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install digoal/blog job-advisor --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/job-advisor .gemini/skills/job-advisor && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "job-advisor" agent skill from https://github.com/digoal/blog/tree/master/skills/job-advisor into .gemini/skills/job-advisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "job-advisor", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install digoal/blog job-advisor

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add digoal/blog --skill job-advisor -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/job-advisor .github/skills/job-advisor && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "job-advisor" agent skill from https://github.com/digoal/blog/tree/master/skills/job-advisor into .github/skills/job-advisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "job-advisor", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add digoal/blog --skill job-advisor -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install digoal/blog job-advisor --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/job-advisor .opencode/skills/job-advisor && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "job-advisor" agent skill from https://github.com/digoal/blog/tree/master/skills/job-advisor into .opencode/skills/job-advisor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "job-advisor", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: job-advisor
GitHub stars: 8.6k
Token cost: ~973 tokens
SKILL.md length: 248 words
Files: 6 (incl. scripts, references)
Skills in repo: 98
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: GPL-2.0

At a glance

Works in 7 steps: 澄清输入 — 若用户未给出… → 构造搜索词 — 按 references/platforms.md… → 并发抓取 — 通过 mmx web_search 执行每个 query,合并去重。 → …
Tasks that involve Markdown
SKILL.md covers Overview, 抓取渠道与限制(必读), 工作流程 and 输入规格, plus 6 more sections
Runs Python scripts from its folder; calls python3

What it does

Job Advisor is an agent skill from digoal/blog. 从招聘平台(闲鱼兼职、Boss直聘、智联、拉勾、58同城、豆瓣兼职等)抓取招聘信息,根据用户输入的个人特征(技能、地点、时间、薪资期望、工作形式偏好)匹配适合的长期雇佣或临时工机会,按性价比(加权时薪)排序,输出 markdown 推荐报告到当前项目的 markdown 目录。当用户提出"找工作"、"匹配岗位"、"接私活"、"找兼职"、"招聘推荐"、"什么活适合我"等需求时触发。

Its SKILL.md is about 970 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/output_template.md` and `references/platforms.md`).

It sits in Documents & Office, covering Markdown. The repository describes itself as: AI,Opensource,Database,Business,Finance,Minds. git clone --depth 1 https://github.com/digoal/blog. The licence is GPL-2.0.

When your agent uses it

Tasks that involve Markdown

Example prompts

“什么活适合我”
“/job-advisor”

Requirements

Python 3

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

澄清输入 — 若用户未给出 references/profile_schema.md 必需字段(技能、地点、时间、薪资下限),先用 AskUserQuestion 问齐。
构造搜索词 — 按 references/platforms.md 的模板,为每个平台生成 3-5 个搜索 query。
并发抓取 — 通过 mmx web_search 执行每个 query,合并去重。
结构化抽取 — 从搜索结果摘要中抽取 title / company / location / pay / type / skills / link / source_platform 字段,字段缺失则降级或丢弃。
打分排序 — 调用 scripts/match_jobs.py,传入 profile.json 与 jobs.json,得到排序结果。
生成报告 — 按 references/output_template.md 模板渲染 markdown,写入 <项目根>/markdown/<日期>_job-recommendations.md。
自检清单 — 报告末尾追加:抓取时间、平台数、抓取条目数、排序后保留数、被过滤原因分布。

What it can do on your machine

Read from SKILL.md and the folder at commit ad6fcb7. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
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

Job Advisor loads about 973 tokens when it runs, and up to ~3.7k if it reads all its reference files. Until then it costs about 51 tokens; SKILL.md has 248 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~51
When it runs · the whole SKILL.md, loaded when a task matches: ~973
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~3.7k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from digoal/blog at commit ad6fcb7, republished under its GPL-2.0 licence (© digoal). 248 words, ~973 tokens.

Download SKILL.mdSave it as .claude/skills/job-advisor/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.

name: job-advisor
description: 从招聘平台(闲鱼兼职、Boss直聘、智联、拉勾、58同城、豆瓣兼职等)抓取招聘信息,根据用户输入的个人特征(技能、地点、时间、薪资期望、工作形式偏好)匹配适合的长期雇佣或临时工机会,按性价比(加权时薪)排序,输出 markdown 推荐报告到当前项目的 markdown 目录。当用户提出"找工作"、"匹配岗位"、"接私活"、"找兼职"、"招聘推荐"、"什么活适合我"等需求时触发。

Job Advisor

Overview

给定个人特征(技能、地点、可投入时间、薪资下限、工作形式偏好),从公开渠道抓取招聘信息,按 加权时薪 = 基础时薪 × 技能匹配 × 通勤折算 × 灵活度 排序,输出 markdown 推荐报告。

除直接技能匹配外,本 skill 同时识别"借助 AI 工具也能较轻松拿下"的岗位(基础翻译、文案润色、简单海报、字幕、PPT、数据录入、信息搜集等),在报告中以独立专区形式单独列出,不污染主 Top10 的技能匹配排序。

抓取渠道与限制(必读)

直接抓取 Boss直聘/闲鱼等平台 API 在工程上不可行(登录墙、强反爬、风控)。本 skill 采用搜索引擎聚合的实用策略:

渠道	抓取方式	说明
闲鱼兼职	`mmx web_search "site:goofish.com 兼职"` 等	通过搜索引擎拿公开页面摘要
Boss直聘	`mmx web_search "site:zhipin.com <关键词>"`	同上,只能拿搜索结果摘要
智联招聘	`mmx web_search "site:zhaopin.com <关键词>"`	同上
拉勾	`mmx web_search "site:lagou.com <关键词>"`	同上
58同城兼职	`mmx web_search "site:58.com 兼职 <关键词>"`	同上
豆瓣兼职小组	`mmx web_search "site:douban.com 兼职 <关键词>"`	同上
小蜜蜂远程工作	`mmx web_search "site:xiaomifeng.work"`	远程岗位聚合
电鸭社区	`mmx web_search "site:eleduck.com 远程"`	远程岗位

反爬声明:不要尝试用 requests/selenium 直接打平台,会被封 IP。本 skill 仅依赖搜索引擎可达的公开摘要,结果可能滞后/不完整,报告必须注明数据时间。

工作流程

澄清输入 — 若用户未给出 references/profile_schema.md 必需字段(技能、地点、时间、薪资下限),先用 AskUserQuestion 问齐。
构造搜索词 — 按 references/platforms.md 的模板,为每个平台生成 3-5 个搜索 query。
并发抓取 — 通过 mmx web_search 执行每个 query,合并去重。
结构化抽取 — 从搜索结果摘要中抽取 title / company / location / pay / type / skills / link / source_platform 字段,字段缺失则降级或丢弃。
打分排序 — 调用 scripts/match_jobs.py,传入 profile.json 与 jobs.json,得到排序结果。
生成报告 — 按 references/output_template.md 模板渲染 markdown,写入 <项目根>/markdown/<日期>_job-recommendations.md。
自检清单 — 报告末尾追加:抓取时间、平台数、抓取条目数、排序后保留数、被过滤原因分布。

输入规格

读 references/profile_schema.md 完整定义。最小必填:

json

{
  "skills": ["Python", "PostgreSQL"],
  "location": "杭州",
  "available_hours_per_week": 20,
  "min_hourly_rate": 150,
  "preferred_types": ["remote", "part_time"]
}

可选:max_commute_minutes、avoid_keywords、language、experience_years、industries。

抓取执行规范

每个平台最多 5 个 query,共 ≤ 30 次 web_search。
单次搜索只取前 5 条结果,合并去重后保留不超过 30 条原始记录。
单条记录若关键字段(title/pay/source_platform)缺失且无法从摘要中推断,丢弃并在报告中计入"被过滤"。
抓取完成后,先调用打分脚本,再渲染报告。

打分脚本调用

bash

python3 scripts/match_jobs.py \
  --profile /path/to/profile.json \
  --jobs /path/to/jobs.json \
  --top 10 \
  --out /path/to/scored_jobs.json

scripts/match_jobs.py 读取两份 JSON,返回按 cost_effectiveness_score 降序的列表,含逐项打分明细。详见脚本内 docstring。

输出规格

文件位置:<cwd>/markdown/<YYYY-MM-DD>_job-recommendations.md
模板:references/output_template.md
必含:概要、Top10 表格、逐条详情(标题/公司/地点/薪资/工作形式/链接/打分明细/风险提示)、数据来源与免责声明。

失败与降级

情况	处理
用户未给地点或薪资下限	AskUserQuestion 澄清,不要瞎猜
搜索引擎全失败	报告中标注"无可用抓取数据",不输出空 Top10
抓取 < 5 条	仍输出,但顶部加明显警示"样本不足,建议补充搜索词"
字段无法解析薪资	标记为 `pay_unknown=true`,打分时该项置 0 并降权

AI 友好岗位(独立专区)

很多岗位在传统视角下需要专业技能(翻译资质、设计功底、剪辑经验等),但借助 AI 工具链(LLM 翻译/文案、SD/MJ 生图、Whisper 字幕、PPT 排版等)准入门槛已大幅降低。本 skill 把这类岗位识别后,以"AI 友好专区"形式单独列在报告末尾,与主 Top10 解耦。

机制:

scripts/match_jobs.py 维护 AI_ASSISTABLE_KEYWORDS 列表(翻译、文案、海报、字幕、PPT、数据录入、调研、客服话术等)
关键词命中即在 _score.ai_friendly=true 标记,不参与主排名加权(避免污染技能匹配结果)
报告渲染时按 pay_basis 与 hourly_rate_cny 二次排序,生成"AI 友好专区"小节
平台搜索词见 references/platforms.md "AI 友好岗位"章节,与主 query 并发执行,共享 ≤30 次 web_search 上限

为什么不直接并入主排名:

主 Top10 优先保证"用户技能直接匹配"的命中率
AI 友好岗位特征差异大,简单加权容易把低匹配度岗位推到前面,降低主推荐质量
独立呈现让用户自主判断是否愿意承接 AI 辅助类工作

Resources

scripts/

match_jobs.py — 性价比打分脚本,见上文调用方式。

references/

platforms.md — 各平台搜索词模板与反爬说明。
profile_schema.md — 个人特征输入 schema 与示例。
output_template.md — markdown 报告渲染模板。

Files

SKILL.md and 5 other files (scripts, references) in skills/job-advisor of digoal/blog.

SKILL.md
agents/openai.yaml
references/output_template.md
references/platforms.md
references/profile_schema.md
scripts/match_jobs.py

Open the folder on GitHubat commit ad6fcb7

Compare with similar skills

Job Advisor 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.

Job Advisor compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Job Advisor this skilldigoal/blog	8.6k	—	~973	Automated safety check: Pass	GPL-2.0	yesterday
Markdown Article FormatterJimLiu/baoyu-skills	26k	6 repos	~3.5k	Automated safety check: Pass	MIT	29 days ago
MarkitdownImCa0/just-laws	782	14 repos	~3.2k	Automated safety check: Notes	MIT	2 days ago
Obsidian MarkdownAtmosphere/atmosphere	3.8k	20 repos	~1.3k	Automated safety check: Pass	Apache-2.0	today
Gzh Designisjiamu/gzh-design-skill	3.9k	1 repos	~2.2k	Automated safety check: Pass	AGPL-3.0	6 days ago
Crosspostingwasp-lang/wasp	19k	—	~1.1k	Automated safety check: Pass	MIT	yesterday

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Article Fact Checker
digoal/blog
三层审查模型,逐段逐句验证文章真伪、证据链与逻辑结构。Use when the user asks to fact-check, verify, audit, or evaluate the credibility of an article, essay, report, opinion piece, social-media post, or any written claim —…
8.6k GitHub stars~939 tokensUpdated yesterday
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Find Postgres Bug
digoal/blog
Find latent bugs in a local PostgreSQL source tree (RELxxSTABLE branch or HEAD) the way a core hacker does: build a heavily-poisoned debug instance (cassert + cache-discard + -O0/-ggdb3 + core…
8.6k GitHub stars~4k tokensUpdated yesterday
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Digoal
digoal/blog
Portable digital employee distilled from digoal's personal blog for PostgreSQL, PolarDB, DuckDB, AI+database, vector/RAG, database operations, source-code reading, technical content creation…
8.6k GitHub stars~2.2k tokensUpdated yesterday
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Paper Interpretation
digoal/blog
从论文 PDF 文件或论文 PDF URL 生成通俗易懂、图文并茂、带批判性评估的中文 Markdown 解读，并保存到当前项目的 markdown 目录。Use when the user asks to interpret,精读,解读,summarize,explain,analyze, or write an article from an academic paper PDF…
8.6k GitHub stars~1.5k tokensUpdated yesterday
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Product Multi Role Analysis
digoal/blog
Analyze a product from documentation, websites, PDFs, articles, release notes, pricing pages, app listings, reviews, filings, or related links; save separate intermediate analyses from seven roles…
8.6k GitHub stars~1.8k tokensUpdated yesterday
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Blog Cover Poster
digoal/blog
Turn a blog post, article, notes, or any source material into a set of vertical poster images — one cover plus several coherent content slides that explain the core points.
8.6k GitHub stars~1.4k tokensUpdated yesterday
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Questions about Job Advisor

What does Job Advisor do?

When should I use Job Advisor?

Job Advisor fits situations like: tasks that involve Markdown.

How do I install Job Advisor in Claude Code?

Run `npx skills add digoal/blog --skill job-advisor -a claude-code`. Or copy the skill folder (skills/job-advisor in digoal/blog) into .claude/skills/job-advisor in your project. Claude Code loads it when a task matches its description.

How do I install Job Advisor in Codex?

Run `npx skills add digoal/blog --skill job-advisor -a codex`. Or copy the skill folder (skills/job-advisor in digoal/blog) into .agents/skills/job-advisor in your project. Codex loads it when a task matches its description.

Can I use Job Advisor 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 digoal/blog --skill job-advisor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/job-advisor, .gemini/skills/job-advisor, .github/skills/job-advisor and .opencode/skills/job-advisor in your project.

What does Job Advisor need to run?

Going by SKILL.md and its folder, Job Advisor needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Job Advisor 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 Job Advisor 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Job Advisor use?

Job Advisor is published under the GPL-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Job Advisor use?

About 973 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.7k tokens, read only when the agent opens those files.

What are the alternatives to Job Advisor?

Skills that share tags, products or a category with Job Advisor: Markdown Article Formatter (JimLiu/baoyu-skills, 26k stars), Markitdown (ImCa0/just-laws, 782 stars), Obsidian Markdown (Atmosphere/atmosphere, 3.8k stars) and Gzh Design (isjiamu/gzh-design-skill, 3.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Job Advisor?

digoal (a GitHub user) maintains it in digoal/blog, which has 8,586 GitHub stars. The repository holds 98 skills in this directory. The repository was last updated on October 9, 2026.

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

Install Job Advisor

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Job Advisor

Overview

抓取渠道与限制(必读)

工作流程

输入规格

抓取执行规范

打分脚本调用

输出规格

失败与降级

AI 友好岗位(独立专区)

Resources

scripts/

references/

Files

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Questions about Job Advisor