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panda-analytics熊猫分析

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

247

周安装

10

GitHub Stars

公开资料未说明

下载量

78
CodexClaudeCursorGemini CLI

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

unknown

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:panda-analytics(熊猫分析)
来源仓库:https://github.com/mrpaulscrivens/nosy-pandas-skills
仓库路径:skills/panda-analytics
安装命令:
npx skills add https://github.com/mrpaulscrivens/nosy-pandas-skills --skill panda-analytics
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/mrpaulscrivens/nosy-pandas-skills --skill panda-analytics

简介

panda-analytics 用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。

  • 适用于数据分析、异常检测、统计汇总及可视化报告生成等场景。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用该技能。
  • 使用时需确认数据来源、字段含义和时间范围,避免将样本误作全量事实。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Social Analytics

View social media analytics and insights via the Nosy Pandas API from Claude Code.

Configuration

This skill shares the same ~/.pandas config file as panda-publish. See that skill for the full setup flow.

Required values: api_url and api_key.

Reading Configuration

# Read config values (use these instead of env vars in all curl commands)
PANDAS_API_URL="https://nosypandas.com/api"
PANDAS_API_KEY=$(grep '^api_key=' ~/.pandas 2>/dev/null | cut -d= -f2-)

If ~/.pandas doesn't exist or is missing api_key:

  1. Ask: "Paste your API key" (tell them to generate one from the dashboard under API Keys)
  2. Write the values to ~/.pandas:
cat > ~/.pandas << 'EOF'
api_url=https://nosypandas.com/api
api_key=the-pasted-key
media_folder=~/social-media
EOF
chmod 600 ~/.pandas

If the user pastes what looks like an API key without being asked, detect it and offer to save it to ~/.pandas.

Available Commands

CommandDescription
OverviewPost analytics with engagement metrics (paginated)
Best TimeOptimal times to post based on historical performance
Content DecayHow engagement drops off over time
Daily MetricsDay-by-day engagement stats (filterable by date range)
Follower StatsFollower growth and demographics
Post TimelineEngagement timeline for posts
Posting FrequencyHow often you're posting and consistency

Pro Plan Gate

All 7 analytics endpoints require a Pro plan. Before displaying any analytics data, you must handle the 403 response.

When any analytics API call returns a 403 status with {"message": "Pro plan required."}, do the following:

  1. Do NOT show the raw error or JSON response
  2. Display this message exactly:
Analytics requires a Pro plan. You're currently on the Basic plan. Analytics — including post performance, best posting times, follower growth, and content decay — are available on Pro. Upgrade to Pro ($79/year) from your dashboard's Billing page to unlock analytics.
  1. STOP. Do not retry, do not offer workarounds, do not show empty states or dummy data.

Overview

Post analytics with engagement metrics.

Steps

  1. Verify ~/.pandas config has api_url and api_key
  2. Make the API call
  3. If 403, show the Pro Plan Gate upgrade message and stop
  4. Format and display results

API Call

curl -s "$PANDAS_API_URL/analytics" \
  -H "Authorization: Bearer $PANDAS_API_KEY" \
  -H "Accept: application/json"

Optional query parameters:

  • ?postId=ID — filter to a specific post
  • ?page=N — pagination (default page 1)

For paginated results, offer to fetch the next page if more data is available.

Best Time

Optimal times to post based on historical performance.

Steps

  1. Verify ~/.pandas config has api_url and api_key
  2. Make the API call
  3. If 403, show the Pro Plan Gate upgrade message and stop
  4. Format and display results

API Call

curl -s "$PANDAS_API_URL/analytics/best-time" \
  -H "Authorization: Bearer $PANDAS_API_KEY" \
  -H "Accept: application/json"

Content Decay

How engagement drops off over time.

Steps

  1. Verify ~/.pandas config has api_url and api_key
  2. Make the API call
  3. If 403, show the Pro Plan Gate upgrade message and stop
  4. Format and display results

API Call

curl -s "$PANDAS_API_URL/analytics/content-decay" \
  -H "Authorization: Bearer $PANDAS_API_KEY" \
  -H "Accept: application/json"

Daily Metrics

Day-by-day engagement stats.

Steps

  1. Verify ~/.pandas config has api_url and api_key
  2. Make the API call
  3. If 403, show the Pro Plan Gate upgrade message and stop
  4. Format and display results

API Call

curl -s "$PANDAS_API_URL/analytics/daily-metrics" \
  -H "Authorization: Bearer $PANDAS_API_KEY" \
  -H "Accept: application/json"

Optional query parameters:

  • ?days=30 — number of days to look back (default varies by API)

Follower Stats

Follower growth and demographics.

Steps

  1. Verify ~/.pandas config has api_url and api_key
  2. Make the API call
  3. If 403, show the Pro Plan Gate upgrade message and stop
  4. Format and display results

API Call

curl -s "$PANDAS_API_URL/analytics/follower-stats" \
  -H "Authorization: Bearer $PANDAS_API_KEY" \
  -H "Accept: application/json"

Post Timeline

Engagement timeline for posts.

Steps

  1. Verify ~/.pandas config has api_url and api_key
  2. Make the API call
  3. If 403, show the Pro Plan Gate upgrade message and stop
  4. Format and display results

API Call

curl -s "$PANDAS_API_URL/analytics/post-timeline" \
  -H "Authorization: Bearer $PANDAS_API_KEY" \
  -H "Accept: application/json"

Optional query parameters:

  • ?postId=ID — filter to a specific post's timeline

Posting Frequency

How often you're posting and consistency.

Steps

  1. Verify ~/.pandas config has api_url and api_key
  2. Make the API call
  3. If 403, show the Pro Plan Gate upgrade message and stop
  4. Format and display results

API Call

curl -s "$PANDAS_API_URL/analytics/posting-frequency" \
  -H "Authorization: Bearer $PANDAS_API_KEY" \
  -H "Accept: application/json"

Display Guidelines

When presenting analytics data to the user:

  • Tables for tabular data (daily metrics, post lists, overview results)
  • Bullet points for insights (best time recommendations, frequency analysis)
  • Highlight key numbers — top-performing posts, growth trends, peak engagement times
  • Summaries first, details on request — lead with the headline stat, offer to drill down
  • Paginated results (overview) — offer to fetch the next page if more data is available
  • Date ranges — when showing daily metrics, clearly label the date range covered

Error Handling

StatusMeaningRecovery
401Invalid API keyCheck api_key in ~/.pandas is correct
403Pro plan requiredShow the upgrade message (see Pro Plan Gate section)
422Validation errorShow the specific error messages from the response body and help the user fix them
500Server errorTry again later

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

37.99%
按下载量换算30

Claude

30.54%
按下载量换算24

Cursor

20.01%
按下载量换算16

Gemini CLI

8.68%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

未通过

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

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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