Klyf
Klyf is an AI YouTube analyst for creators.
От сообщества: Добавлен пользователем или импортирован; проверьте владельца перед подключениемРаботаетБез входаГлобальныйБесплатноТолько чтение
Что умеет
- Audit Channel: Give the signed-in user a full audit and overview of THEIR OWN YouTube channel in one answer: the overall state right now, what is working and why, which single thing is constraining th
- Diagnose Channel: Diagnose the signed-in user's YouTube channel.
- Evaluate Idea: Judge whether a specific YouTube video idea, topic, or title the user is weighing up is worth making, grounded in what already converts on their own YouTube channel and what their audie
Какие данные видит
Нужен ли аккаунт
Не нужен: сервер работает без входа
Klyf is an AI YouTube analyst for creators. Connect your own channel and ask in plain language: why did my last video flop, what should I fix, who is actually watching, what should I make next. Klyf reads your real YouTube analytics, audience data and comments, and answers with a decision instead of another dashboard.
Список инструментов сервера (21)
Технические названия из tools/list. Нужны только разработчикам.
| audit_channel | Give the signed-in user a full audit and overview of THEIR OWN YouTube channel in one answer: the overall state right now, what is working and why, which single thing is constraining the channel (whether people are not being SHOWN the videos or are being shown and not clicking), and what their audience wants. |
| diagnose_channel | Diagnose the signed-in user's YouTube channel. |
| evaluate_idea | Judge whether a specific YouTube video idea, topic, or title the user is weighing up is worth making, grounded in what already converts on their own YouTube channel and what their audience asks for, with a light title/thumbnail direction. |
| suggest_ideas | Generate specific video ideas for the signed-in user's own YouTube channel to make next, grounded in what already earns them subscribers there (their winners) and what their audience keeps asking for (their comments). |
| find_best_videos | Find the signed-in user's best-performing YouTube videos on their own channel, ranked several ways: which produced the most subscribers, the most views, held viewers longest (retention), earned the most total watch time, got clicked most often when shown, and which sparked the most comments, with their titles, so the pattern behind what works becomes clear. |
| find_best_thumbnails | Read what the signed-in user's BEST-performing YouTube thumbnails on their own channel have in common (the on-thumbnail text, faces, colors, layout), to reveal the pattern behind their proven packaging. |
| package_video | Help the signed-in user PACKAGE a YouTube video: generate several title options and thumbnail text ideas, or score a title/thumbnail they already have, always as a title+thumbnail UNIT (making sure the two complement and do not just repeat each other), grounded in the packaging that already converts on their own YouTube channel. |
| draft_description | Draft a YouTube video DESCRIPTION for the signed-in user, in their own voice and structure (learned from the descriptions they already write). |
| draft_script | Draft a video SCRIPT for the signed-in user, in their own voice, built from what already converts on their own YouTube channel and engineered to fix the opening where they lose viewers. |
| review_upcoming_video | Review a YouTube video the signed-in user is ABOUT to publish on their own channel (a scheduled, unlisted, or private/draft upload of theirs, NOT one already public) and give them a prioritized punch-list of what to fix before it goes live: title and thumbnail versus what works on their channel, the description, key settings, and the best time to publish (from when their own uploads have done best and where their audience is). |
| analyze_video | Deep dive on ONE specific YouTube video of the signed-in user's own channel, to explain how it did and why. |
| check_growth | Whether the signed-in user's own YouTube channel is growing, sliding, or flat, and roughly when it turned, from recent views, watch time, and net subscribers. |
| get_weekly_digest | Klyf Pro. |
| analyze_audience | Analyze WHO the signed-in user's YouTube audience is, from their own channel's real data: age and gender of viewers, top countries and where viewers are, and what that means for their content. |
| read_comments | Read and summarize the audience's YouTube comments for the signed-in user's channel: the themes viewers keep raising or asking for, what the audience wants, needs, struggles with, or their pain points and problems (as voiced in comments), and how many comments are unanswered. |
| check_discoverability | Diagnose how the signed-in user's own YouTube channel gets FOUND, and whether new people are finding it at all. |
| enable_auto_reply | Start turning on auto-reply (Klyf posting the YouTube comment replies the user approves on their own channel). |
| read_comment_thread | Read the full reply thread under one YouTube comment on the signed-in user's channel: the original plus the whole back-and-forth, so you can reply in context. |
| reply_to_comment | Post a reply to one specific YouTube comment on the signed-in user's channel, on their behalf. |
| upgrade_to_pro | Give the signed-in user a link to upgrade to Klyf Pro. |
| submit_feedback | Send feedback, a bug report, or a feature request to the Klyf team. |