Vidseeds Analytics logo

Vidseeds Analytics

OrganizationPopular
hashgraph-online
vidseeds-analytics

Use for VidSeeds MCP analytics and research - YouTube analytics, channel intelligence, video autopsy, outliers, competitors, trending/breakout discovery, keyword research, comment sentiment, and best-practices tools. Outcomes only; not internal scoring details.

Overview

Publisherhashgraph-online
Repositoryawesome-codex-plugins
Skill namevidseeds-analytics
Stars
1.3K
Forks
360
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by hashgraph-online on GitHub. Read the source before you install it.

Installation

Install the Vidseeds Analytics AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/CarrotGamesStudios/vidseeds-mcp/skills/vidseeds-analytics
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git /tmp/awesome-codex-plugins
mkdir -p .claude/skills
cp -r /tmp/awesome-codex-plugins/plugins/CarrotGamesStudios/vidseeds-mcp/skills/vidseeds-analytics .claude/skills/vidseeds-analytics
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Vidseeds Analytics in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Vidseeds Analytics on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Vidseeds Analytics is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Analytics & intelligence (MCP)

Map the user's question to a tool - then read the tool description for inputs and seed cost.

YouTube account data

GoalTool
Connected channelsvidseeds_get_youtube_channels
Channel/video analyticsvidseeds_get_youtube_analytics
Playlistsvidseeds_get_channel_playlists
Transcript / captionsvidseeds_get_youtube_video_transcript, vidseeds_get_youtube_video_captions

Channel intelligence (deep profile)

GoalTool
Run analysisvidseeds_analyze_channel_intelligence
Poll statusvidseeds_get_channel_intelligence_status
Read cached resultvidseeds_get_channel_intelligence_cache
Narrative insightsvidseeds_generate_channel_insights
Author voicevidseeds_analyze_author_voice

Pass channelId when multiple YouTube connections exist.

Single-video diagnosis

GoalTool
Deep dive on one videovidseeds_analyze_video_autopsy
Best-practices checkvidseeds_get_video_best_practices
Sponsor integrationsvidseeds_scan_sponsor_integrations
Retention curve (simulated)vidseeds_simulate_retention_curve

Competitive & market context

GoalTool
Compare channelsvidseeds_compare_competitors
Outlier videosvidseeds_detect_outliers
Public channel auditvidseeds_audit_public_channel
Realtime anomaliesvidseeds_get_realtime_anomalies

Discovery & research

GoalTool
Keywordsvidseeds_keyword_research
Trending videosvidseeds_get_trending_videos
Breakout channelsvidseeds_get_breakout_channels
Bulk video metadatavidseeds_get_bulk_video_metadata
Bulk channel lookupvidseeds_get_channels_by_ids
Channel video listvidseeds_list_channel_videos
Video stats historyvidseeds_get_video_stats_history
View curvevidseeds_get_channel_view_accumulation_curve
Video commentsvidseeds_get_video_comments
Analytics dimensionsvidseeds_get_available_analytics_dimensions
Comment sentimentvidseeds_get_comment_sentiment
Video ideasvidseeds_generate_video_ideas (and related ideas tools in tools/list)

SEO experiments

  • vidseeds_generate_seo_title_experiments - title variants for testing.

Copilot / assistant (Q&A)

  • vidseeds_get_copilot_response - channel-aware answers.
  • Assistant threads: vidseeds_list_assistant_conversations, vidseeds_get_assistant_conversation, vidseeds_send_assistant_message, vidseeds_confirm_assistant_suggestion - see tool descriptions for collab flows.

After research → action

Typical handoff:

  1. Intelligence or autopsy → refine metadata via vidseeds-projects.
  2. Trends/keywords → thumbnail brief via vidseeds-thumbnails.
  3. Public audit → user decides positioning; no automatic publish.

Always run vidseeds_get_seed_balance before batch intelligence calls.

Frequently asked questions

What does the Vidseeds Analytics AI skill do?

Use for VidSeeds MCP analytics and research - YouTube analytics, channel intelligence, video autopsy, outliers, competitors, trending/breakout discovery, keyword research, comment sentiment, and best-practices tools. Outcomes only; not internal scoring details.

Why use Vidseeds Analytics on TypingMind?

Because you install it once and use it with any model. Vidseeds Analytics is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Vidseeds Analytics in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/CarrotGamesStudios/vidseeds-mcp/skills/vidseeds-analytics. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Vidseeds Analytics?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Vidseeds Analytics?

As many as you like. As long as a model supports skills, you can use Vidseeds Analytics with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Vidseeds Analytics AI skill free?

Yes. It is published on GitHub by hashgraph-online under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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