Built from your own posts, comments and analytics.
Eleven systems for the content work you repeat: repurposing, hook testing, gap analysis, comment mining, recycling, brand deals and performance analysis. Copy-paste prompts, what to feed each one, and the four that work together as a single operation.
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You do not need eleven new tools. You need your own posts, your comments, your analytics and your brand information in one place that Claude can read.
Every build below follows the same six steps, and step four is the one that decides whether any of this lasts.
Copy the one from the build you picked. It works before you customise anything.
Your posts, your analytics, your audience, your voice, your past results. This is the step that separates useful output from generic output.
Tell it plainly: this part is useful, this part is not, here is what I would have written. Your corrections are the most valuable context you will ever give it.
Put the prompt in a Claude Project as the project instructions and add your files as project knowledge. Skip this and you are starting from zero every time, which is why most people try one of these once.
A good prompt helps. Your own numbers change what it can actually tell you. The performance and recycling builds are nothing without them.
Only once the workflow has proved itself. Do not automate a bad workflow, you will just get more of it.
Three of these builds keep growing: the viral database, the recycling tracker and the performance dashboard. Those need somewhere real to live, like a Google Sheet or a Notion database you connect, not a chat you scroll back through. Connectors for Drive, Notion and Sheets are in the directory at claude.ai/directory.
Start with one. Get it working on real content this week. Then improve it.
Takes one piece of content and rebuilds it for each platform, rather than trimming the same words to fit.
The difference matters. A shortened LinkedIn post is not a Threads post, and everyone can tell.
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Give it the transcript and your own examples. Without the examples it will write competent content that sounds like nobody.
Help me build a reusable content repurposing system. I will give you one original piece of content, usually a short-form video transcript. Turn it into platform-native versions for: - TikTok or Reels caption - YouTube Shorts title - LinkedIn post - Threads post - X post Do not copy or simply shorten the same content. Adapt the opening, structure, length and CTA to how people actually consume content on each platform. Preserve the original idea and my tone. Before generating anything, identify: 1. The core idea 2. The strongest insight 3. The most interesting hook 4. The main takeaway for the audience Then write the platform versions. Avoid generic AI phrasing, unnecessary emojis and exaggerated claims. Do not add statistics, results or examples that were not in my original content.
Five versions that read as though they were written for each platform, from one transcript.
Level it up. Give it modes so it knows what kind of content it is handling before it adapts anything: educational, opinion, news, promotional, tutorial. An opinion post and a tutorial should not come out with the same structure.
Turns the videos you save and never look at again into research that tells you why they worked.
This is the build with the highest ceiling in the guide, and it is worthless for the first two weeks. It needs volume before it says anything useful.
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Run this on every video you save. The value is in the pattern across thirty of them, not in any single analysis.
Help me create a Viral Video Research Database. Every time I give you a successful social post or transcript, analyse it and record: - Topic - Target audience - Hook, quoted exactly - Hook type - Format - Main promise - Structure - What creates the curiosity - Proof used - CTA - Why someone would keep watching - Elements worth adapting Do not tell me a video worked because it had a strong hook. Explain specifically what the hook or the structure is doing. Keep the categories consistent between entries so patterns become visible over time. Do not copy another creator's wording. Extract the underlying format or principle that I could apply to an original idea of my own.
A swipe file that explains mechanisms instead of a folder of links you never reopen.
Level it up. Once you have thirty or more entries, ask it to rank the recurring hook structures, formats, topics and CTAs by how often they appear, then propose original experiments using the same principles. That is the point it turns from a collection into research.
Compares what you publish against what your audience keeps asking about, what performs, and what your competitors cover.
Most content plans repeat the creator's favourite three topics. This is how you notice.
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The instruction not to recommend a topic just because a competitor posted it is doing real work here. Otherwise you get their content calendar.
Act as my content gap analyst. I will give you: 1. My recent content 2. My target audience 3. My main content pillars 4. Competitor content or examples from my niche Analyse all of it and identify: - Topics I cover heavily - Topics I have neglected - Audience problems I am not addressing - Questions competitors answer that I do not - Topics competitors are ignoring - Successful topics worth going deeper on - Opportunities for a recurring series Do not recommend a topic simply because a competitor posted about it. Prioritise gaps that overlap with my audience's needs and my positioning. Finish with twenty specific content opportunities, split into quick wins, evergreen ideas, experiments and potential recurring series. Where you are inferring an audience problem rather than seeing it in what I gave you, say so.
Twenty opportunities sorted by type, and a clear view of the topic you have quietly been avoiding.
Level it up. Run it monthly and compare four columns: what you planned, what you published, what performed, what is still missing. The gap between the first two is usually the real problem.
Uses your own audience to tell you what to make next, in their words rather than yours.
The phrasing matters as much as the topic. People tell you their exact search terms in the comments and most creators scroll past them.
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Paste comments in bulk. Hundreds at a time is better than a curated handful, because you are looking for repetition.
Analyse these audience comments as customer and content research. Categorise them into: - Questions - Problems - Confusion - Objections - Requests - Strong opinions - Success stories - Content suggestions Look for repeated themes, and note the exact language people use. Then give me: 1. The ten most important audience insights 2. Questions worth answering with a video each 3. Potential hooks using the audience's own words 4. Follow-up opportunities from my existing content 5. Topics people seem especially interested in or confused about Do not invent audience problems that are not supported by the comments. If a theme appears only once, say so rather than presenting it as a pattern.
Content ideas in your audience's own language, which is usually better than anything you would have phrased yourself.
Level it up. Have it maintain a chain: comment, insight, content idea, video made, how it performed. After a few months you can see which kinds of audience signal actually turn into good content and which ones you imagined.
Not a write-in-my-voice prompt. This one checks work you have already written and tells you where it stopped sounding like you.
Build the profile once, then use it as an editor on everything.
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Run the first half once to create the profile. Keep it, then paste drafts in against it.
Help me build a Brand Voice Profile from the writing samples I provide. Analyse the recurring characteristics, including: - Sentence length - Vocabulary - Tone and pacing - Formatting - Humour - Level of formality - How I explain complicated ideas - Hook style - CTA style - Phrases I use often - Things I consistently avoid Turn that into clear writing rules, each one based on evidence you can point to in my samples. Do not invent personality traits that are not demonstrated in the examples. Where my samples are inconsistent, tell me rather than picking a rule. Once the profile exists, I will give you new drafts. For each one: 1. Identify what does not match my voice 2. Explain why 3. Suggest specific changes 4. Rewrite only the parts that need it Preserve the sections that already work instead of rewriting everything.
A profile built from evidence, and edits that leave your good sentences alone.
Level it up. Use a plain checklist rather than a score: sounds like me, too polished, too generic, too long, too much jargon, weak opening, CTA does not fit. Resist asking for a percentage. A confident 87 percent brand voice score is invented precision and tells you nothing you can act on.
Builds a calendar from strategy instead of producing thirty unrelated ideas you will not make.
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The instruction not to generate the calendar immediately is the whole trick. Ask for thirty ideas and you get thirty ideas, unconnected to anything.
Help me build a 30 day social content plan. Do not generate the calendar immediately. First analyse: - My target audience - Their main problems - My content pillars - My recent content - My previous high performers - Topics I have overused - Topics I have neglected - Any upcoming launches or events Then create a balanced 30 day plan. For every idea include: - Topic - Content pillar - Format - Working hook - The audience pain point or desire it targets - The goal: reach, engagement, authority or conversion - A CTA where one fits Do not repeat the same idea with different wording. Make roughly one in five ideas genuinely experimental rather than a variation on something that already worked. Do not promise performance for any idea. Flag which ones are proven formats and which are untested.
A month of content where every slot has a reason, a format and a goal attached.
Level it up. Weight the mix deliberately: about 70 percent proven formats, 20 percent adjacent experiments, 10 percent completely new tests. Those numbers are not a law of nature, just a useful frame that stops a calendar becoming either repetitive or random.
Creates genuinely different hooks for one idea, using different angles rather than reworded versions of the same sentence.
Worth being clear about what this cannot do. Nothing can tell you which hook will win before people see it. What it can do is make sure your three tests are actually testing different things.
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Then go and test them. The recommendation at the end is about clarity and fit, not a prediction.
Act as my Hook Testing Lab. I will give you a social video idea. First identify: - The audience - The core payoff - The main pain or problem - The most surprising element - The strongest proof available Then write hook variations using distinctly different approaches: - Direct payoff - Curiosity - Pain or problem - Contrarian - Demonstration - Specific result - Mistake or warning - Story Keep each one usable in the first one to three seconds of a short-form video. Do not produce minor wording variations of the same hook. For each one, explain in a sentence what makes the angle different. Finally, recommend the three most worth testing based on clarity and relevance to the audience. Do not claim to know which will perform best, because you cannot.
Eight angles that are actually different, and three worth putting in front of people.
Level it up. Log the results: hook, video, views, retention, shares, saves. Feed those back in later and it can analyse your own hook performance instead of reasoning from theory. Your account's data beats general principles every time.
Finds the old posts worth reposting, updating, rescripting or rebuilding with a new hook.
Most creators sit on a back catalogue of proven ideas and keep inventing new ones from scratch.
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Needs your actual numbers to be useful. Without them it is guessing at which posts deserve another run.
Help me build a Content Recycling Tracker. Analyse my historical content and classify each post as one of: - Leave alone - Repost - Update - Rescript - New hook test - Create a part two - Repurpose to another platform Consider previous performance, how old it is, whether the information is still current, how the audience responded, and whether the topic could carry another angle. Explain the reason for every recommendation. Prioritise ideas where there is already evidence of audience interest, rather than recycling something purely because it is old. If the data is too thin to judge a post, say so instead of guessing.
A ranked queue of content worth bringing back, with a reason attached to each one.
Level it up. Run it monthly and keep a standing content worth bringing back queue. This gets dramatically more useful once you have a few hundred posts, which is exactly the point at which you can no longer remember them.
Organises the factors that decide what you should quote, using your own baseline rather than a made up market rate.
Built carefully, because the wrong version of this confidently invents industry standard pricing that does not exist.
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It starts from your numbers. If you have never quoted before, your first few quotes are estimates and this makes them consistent, not correct.
Help me build a Brand Deal Pricing Calculator for my creator business. Do not pretend there is one objectively correct market rate, because there is not. Instead, help me build a quote from my own baseline rates plus the additional work and rights involved. Ask me for: - Platform - Deliverables - Production complexity - Expected revisions - Usage rights and duration - Paid advertising or whitelisting - Exclusivity - Turnaround - Cross-posting - Any raw assets required Start from the baseline prices I give you. Then show clearly: - Base fee - Add-ons - Rights and licensing costs - Total proposed quote - Every assumption you made Never invent industry standard rates. If I have not given you a benchmark, say you do not have one rather than producing a number that sounds authoritative.
A quote you can explain line by line, built from your rates rather than someone else's blog post.
Level it up. Log every deal: quote, negotiated price, accepted or rejected, how much work it turned out to be, how it performed. After a dozen you are pricing from your own evidence, which is the only pricing data that actually describes your audience.
Pulls what you are actually agreeing to out of a brief, including the parts buried on page four.
Usage rights and exclusivity are where creators lose money, and they are never in the headline.
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Upload the document and run it before you reply to the email, not after.
Act as my sponsorship brief analyser. I will give you a creator campaign brief or agreement. Extract and organise: Deliverables Videos or posts required, platforms, length and format requirements. Creative requirements Mandatory talking points, required visuals, claims, CTAs, hashtags and tags. Timeline Draft deadline, feedback period, publishing date. Commercial terms Payment, usage rights, usage duration, paid advertising or whitelisting, exclusivity. Approval Number of revisions and the approval process. Questions and ambiguities Anything unclear, missing, or worth clarifying before work starts. Do not give me legal conclusions. Clearly separate what the document actually says from questions or concerns you are raising. Quote the exact wording for anything about rights, exclusivity or payment.
Everything you are committing to, on one page, with the ambiguities listed before you sign.
Level it up. Feed it your own standard terms: normal revisions, standard usage period, typical turnaround, baseline rates. Then it can compare every incoming brief against what you usually accept and tell you what is unusual. For anything high value or unfamiliar, get a person who does contracts for a living to read it. This is a brief analyser, not a lawyer.
Answers what is actually working, rather than telling you your average view count.
The strongest build here, and the one that needs the most real data. It is also the only one that can correct the other ten.
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Start with whatever metrics you can actually export. Incomplete data analysed honestly beats complete data you never gather.
Act as my social content performance analyst. I will give you data from my recent posts. Do not simply summarise the numbers. Analyse the relationships between topics, hooks, formats, video length, posting patterns, views, watch behaviour, saves, shares, comments and followers gained. Then identify: Winners Content that meaningfully outperformed my normal results. Underperformers Content that significantly underperformed. Patterns Recurring characteristics associated with stronger or weaker performance. Uncertainty Where there is not enough data to identify a pattern with any confidence. Be explicit about this rather than filling it in. Experiments Ten specific things worth testing next. Do not treat correlation as causation. Compare performance against my own baseline rather than industry benchmarks, and tell me when a difference is small enough to be noise.
Winners, misses, real patterns, an honest list of what the data cannot tell you yet, and ten things to test.
Level it up. Run it weekly in a fixed shape: three winners, three misses, three patterns, three experiments, ten ideas for next week. A fixed shape is what makes it comparable week to week, which is where the value actually comes from.
If you only build four, build these, because they feed each other. Each one answers a question the next one needs.
Collects what is working elsewhere, and why, as mechanisms rather than clips to copy.
Tells you what your own audience is asking for, in the words they use.
Turns both of those into what you should actually make next.
Tells you what happened, which corrects the other three instead of letting them run on theory.
Then the results go back into the database and the gap finder, and the loop tightens. That is a content operation rather than eleven prompts in a folder.
The order matters. Most people start with the planner because planning feels productive, then plan from instinct because nothing upstream is feeding it.
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