A creator with a million followers maps out five reusable Claude Cowork workflows for content strategy — channel analysis, audience targeting, outlier tracking, breakout detection, and hook generation — all built on a persistent context-folder system and the Sandcastles MCP.
Claude Cowork becomes a genuine content-strategy engine once it has persistent memory about you and a live data feed from social platforms, turning five specific, reusable skills into an automated research pipeline instead of one-off prompting.
Before using Claude for content strategy, set up a persistent context folder (four markdown files describing your voice, work, identity, and instructions) and connect the Sandcastles MCP so Claude can pull real social-platform data. On top of that foundation sit five packaged workflows: deep-analyze any channel's winning topics, hooks, and formats; build a five-ring audience bullseye to plan a 3-2-2 content mix; get an automated daily feed of outlier competitor videos; find the exact video where a creator's growth spiked; and extract a channel's proven hooks into a rubric that grades and rewrites new ones. Several of the workflows don't require paid analytics credits at all, and most can be scheduled to run automatically.
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States the promise up front: five reusable Claude workflows for growing faster on social media, framed explicitly as designed skills rather than generic AI output. Sponsor (Anthropic) disclosed.
Three setup steps before any workflow runs: build a persistent context-folder system (a name-Cowork folder with context and work subfolders, plus four markdown files an AI-generated interview skill can fill in for you), optionally add a voice-to-text tool since talking is faster than typing, and install the Sandcastles analytics MCP that pipes real social-platform data into Claude.
Analyze a channel's videos (your own or a competitor's) inside the analytics tool first, then hand the processed data to Claude to produce a visual breakdown of winning topics, hooks, formats, and non-obvious patterns.
A skill that interviews you about your niche and builds a five-ring concentric bullseye from narrow to broad, recommending a 3-2-2 content mix and explaining the audience size at each ring.
An automated feed that pulls competitor videos above a view-count and outlier-score threshold from a tracked watch list, refreshing on a schedule and optionally posting into a chat tool, workspace app, or standalone webpage — usable without spending analytics credits.
Scans a creator's upload history (up to two years by default) to pinpoint the exact video where their growth curve spiked, so you can study what specifically changed at that moment.
Extracts a channel's actual written hooks, clusters them into a rubric of storytelling rules, combines it with general hook-writing principles, then uses the rubric to grade and generate new hooks for any topic — including rewriting a hook you already have.
Three additional connectors mentioned but not deeply used: a code-based video editing tool, an AI visual-generation tool, and an email-platform connector for writing and analyzing newsletters from within Claude.
Recaps that the five workflows are meant to save research time rather than generate slop, teases a follow-up video on ideation and scriptwriting skills, and points to the free skill files linked in the description.
The five workflows only work because of what's underneath them: a persistent context folder and a live social-data connector, without which each one collapses back into generic prompting.
“These are not AI slot machines. These are specifically designed Claude skills that make it way faster to improve your content strategy and make more winning videos.”
“Talking is four times faster than typing, and if you ever typed and kind of tripped over your own fingers, this gets you out of the way.”
“I recommend most people start with a three two two. Three videos in the bull's eye, two videos between level two and three, and two videos at level four.”
“You can brick your phone and not watch social media... you don't need to scroll at all, but you don't miss anything.”
“Take data, build rubric, use rubric to generate and revise hooks that are given.”
See every word as it's spoken — crank it to 2× and still catch all of it. The same dual-channel trick behind Amazon's Kindle + Audible.
Five packaged Claude Cowork workflows, built on a persistent context-folder system and a live social-data connector, turn scattered outlier-hunting into an automated content-research pipeline.
A one-time folder and file structure that gives the assistant durable, personalized context about voice, business operations, and identity across every new session.
A concentric-rings model for content targeting, used to decide how narrow vs. broad each piece of content should be.
A recommended default split of seven videos across the audience-bullseye rings, deliberately excluding the broadest ring as too unqualified.
A four-stage system that turns a channel's proven hooks into a reusable, gradeable rubric instead of copying individual lines.
“make sure to like, make sure to subscribe, and drop in the comments what you wanna see me cover next... make sure you download all the free stuff in the description”
Closes with a standard like/subscribe/comment ask paired with a lead-magnet push (the free skill files in the description), plus a second Anthropic sponsor thank-you.
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