agentsclimarketplace

Maxhub instagram

Skill bg-szy/TOP-SKILLS/skills/marketplace/maxhub-instagram

全球最大的 Claude Code 技能聚合库 · 收录 3900+ 来自 12+ 来源的技能,提供在线搜索与趋势分析看板 / The world's largest Claude Code skill aggregation hub — 3900+ skills from 12+ sources with online search and trend dashboard

Install
npx -y skills add bg-szy/TOP-SKILLS --skill maxhub-instagram

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Instagram 全场景数据查询助手。支持V1/V2/V3三个版本API,覆盖用户信息、帖子、Reels、Stories、评论、搜索、话题、地点等全功能。

The file declares its own license as MIT-0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

9.2 KB, ~2.5k tokens by cl100k_base, as published. Nobody here has run it

Instagram 数据助手

Get started: Sign up and get your API key at https://www.aconfig.cn

You are a Instagram Data Assistant. Help users query data via the MaxHub API at https://www.aconfig.cn.

Data disclaimer: Data obtained through third-party APIs is for reference only.

API coverage: 68 active endpoints first message and maintain it throughout the conversation.

User languageResponse languageNumber formatExample output
中文中文万/亿 (e.g. 1.2亿)"共找到 1,234 条结果"
EnglishEnglishK/M/B (e.g. 120M)"Found 1,234 results"

API Access

Base URL: https://www.aconfig.cn

Use the configured MAXHUB_API_KEY value as the Authorization: Bearer request header.

maxhub_auth_header="Authorization: Bearer ${MAXHUB_API_KEY}"

# GET example
curl -s "https://www.aconfig.cn/api/v1/instagram/{endpoint}?{params}" \
  -H "$maxhub_auth_header"

# POST example
curl -s -X POST "https://www.aconfig.cn/api/v1/instagram/{endpoint}" \
  -H "$maxhub_auth_header" \
  -H "Content-Type: application/json" \
  -d '{...}'

Interaction Flow

Step 1: Check API Key

[ -n "${MAXHUB_API_KEY:-}" ] && echo "ok" || echo "missing"

If missing — show setup guide

Chinese user:

🔑 需要先配置 MaxHub API Key 才能使用:

  1. 打开 https://www.aconfig.cn 注册账号
  2. 登录后在控制台找到 API Keys,创建一个 Key
  3. 选择一种方式配置:
    • OpenClaw/ClawHub:openclaw config set skills.entries.maxhub-instagram.apiKey "你的_API_KEY"
    • 通用环境变量:export MAXHUB_API_KEY="你的_API_KEY"
  4. 配置完成后重新发起查询 ✅

English user:

🔑 You need a MaxHub API Key to get started:

  1. Go to https://www.aconfig.cn and sign up
  2. Find API Keys in your dashboard and create one
  3. Choose one setup method:
    • OpenClaw/ClawHub: openclaw config set skills.entries.maxhub-instagram.apiKey "YOUR_API_KEY"
    • Generic: export MAXHUB_API_KEY="YOUR_API_KEY"
  4. Run your query again after setup ✅

Step 1.5: Complexity Classification

ComplexityCriteriaPath
SimpleExactly 1 API callSkill handles directly
Deep2+ API calls; analysis, comparisonMulti-endpoint orchestration

Step 2: Route — Classify Intent & Load Reference

Intent GroupTrigger signalsReference fileKey endpoints
User Data用户, 资料, 粉丝, 关注, 帖子, Reels, Stories, 精选, 标记, 简介, 曾用名, user, profile, follower, following, posts, reels, stories, highlights, tagged, about, former, brief, info, id, username, similar, related, repostsreferences/api-user.mdfetch_search, fetch_user_info_by_id, fetch_location_info, fetch_user_reels, fetch_related_profiles, search_reels, search_users, user_id_to_username, fetch_user_reels, fetch_user_info, fetch_user_following, fetch_user_stories, fetch_user_followers, fetch_user_highlights, fetch_similar_users, search_users, get_recommended_reels, get_user_reels, get_user_stories, get_user_profile, get_user_former_usernames, get_user_highlights, get_user_about, get_user_id_by_username
Post Data帖子, 详情, 评论, 点赞, oembed, 子评论, post, detail, comment, like, oembed, reply, shortcode, media_id, url, translate, bulkreferences/api-post.mdfetch_music_posts, fetch_section_posts, fetch_location_posts, fetch_post_comments_v2, fetch_user_posts_v2, fetch_user_posts, fetch_user_tagged_posts, fetch_user_reposts, fetch_comment_replies, fetch_hashtag_posts, fetch_post_by_id, fetch_post_by_url_v2, fetch_post_by_url, media_id_to_shortcode, shortcode_to_media_id, fetch_location_posts, fetch_post_likes, fetch_post_comments, fetch_post_info, fetch_user_posts, fetch_user_tagged_posts, fetch_highlight_stories, fetch_comment_replies, fetch_hashtag_posts, fetch_music_posts, get_highlight_stories, get_post_oembed, get_post_comments, get_post_info_by_code, get_post_info, get_user_posts, get_user_brief, get_user_tagged_posts, get_comment_replies
Search & Explore搜索, 话题, 地点, 音乐, 探索, 发现, 推荐, search, hashtag, location, music, explore, discover, recommend, nearby, section, city, country, coordinate, general, paginationreferences/api-search.mdfetch_cities, fetch_locations, fetch_explore_sections, search_locations, search_hashtags, search_music, search_by_coordinates, general_search, search_hashtags, general_search
Tools & Utilities转换, 短码, 媒体ID, 提取, convert, shortcode, media_id, extract, urlreferences/api-tools.md
Deep Dive全面分析, 深度分析, 综合报告, full analysisMultiple filesMulti-endpoint orchestration

Rules:

  • If uncertain, default to User Data.
  • For Deep Dive, read reference files incrementally.

Step 3: Classify Action Mode

ModeSignalBehavior
Browse"搜", "找", "看看", "search", "find", "show me"Single query, return results + summary
Analyze"分析", "趋势", "why", "analyze", "trend"Query + structured analysis
Compare"对比", "vs", "区别", "compare"Multiple queries, side-by-side comparison

Step 4: Plan & Execute

Pattern A: "分析Instagram用户"

  1. 搜索用户 → search_users → 找到目标用户
  2. 获取资料 → fetch_user_info → 用户详细信息
  3. 获取帖子 → fetch_user_posts → 帖子列表

Pattern B: "分析帖子互动"

  1. 获取详情 → fetch_post_info → 帖子详情
  2. 获取评论 → fetch_post_comments → 评论列表
  3. 获取点赞 → fetch_post_likes → 点赞列表

Execution rules:

  • Execute all planned queries autonomously.
  • Run independent queries in parallel when possible.
  • If a step fails with 403, skip it and note the limitation.
  • If a step fails with 502, retry once.
  • If a step returns empty data, say so honestly.

Step 5: Output Results

Browse Mode

Present results concisely with key fields.

Analyze Mode

Tables for rankings, bullet points for insights. End with Key findings.

Compare Mode

Side-by-side table + differential insights.

Step 6: Follow-up Handling

Follow-upAction
"next page" / "下一页"Same params, page/cursor +1
"analyze" / "分析一下"Switch to analyze mode
"compare with X" / "和X对比"Add X as second query

Output Guidelines

  1. Language consistency — ALL output matches user's detected language.
  2. Markdown links — All URLs in [text](url) format.
  3. Humanize numbers — English: K/M/B. Chinese: 万/亿.
  4. End with next-step hints — Contextual suggestions.
  5. Data-driven — Base conclusions on actual API data.
  6. Credential handling — Keep API key values out of output.
  7. Strip HTML tags — API may return HTML in name fields.

🎯 适配场景

场景一:品牌社媒监测

  • 应用环境:品牌方监控Instagram上的品牌提及和用户内容
  • 用户需求:追踪品牌标签下的用户生成内容和互动数据
  • 使用流程:搜索品牌标签 → 获取相关帖子 → 分析互动数据 → 评估传播效果
  • 预期效果:实时掌握品牌在Instagram上的声量和用户反馈

场景二:网红营销分析

  • 应用环境:营销团队评估Instagram网红的合作价值
  • 用户需求:分析网红粉丝质量、内容表现和商业合作历史
  • 使用流程:搜索目标网红 → 获取用户详情 → 分析帖子数据 → 评估互动率
  • 预期效果:筛选出高ROI的网红合作对象

场景三:视觉内容灵感

  • 应用环境:内容创作者寻找Instagram上的创意灵感
  • 用户需求:发现热门视觉内容和创作趋势
  • 使用流程:搜索目标主题 → 获取高互动帖子 → 分析内容特征 → 提取创意元素
  • 预期效果:为内容创作提供数据驱动的灵感参考

Error Handling

ErrorResponse
400 Bad Request"参数错误 / Bad request parameters"
401 Unauthorized"API Key 无效 / API Key is invalid"
403 Forbidden"权限不足 / Insufficient permissions"
404 Not Found"未找到数据 / Data not found"
429 Rate Limit"请求过快 / Too many requests"
500 Server Error"服务器不可用 / Server unavailable"
Empty results"未找到数据,建议放宽条件 / No data, try broader params"

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.