Each skill below is a real Claude Skill. The friendly name is how it fits your workflow. Every section gives you the exact starting prompt — copy, paste, run.
Getting Started: Install the Plugin in 3 Steps
All 10 Skills are bundled into a single plugin file. You do not need to install them one by one.
Step 1: Open Claude (Desktop App) You need the Claude desktop app — not the browser version. The plugin system is only available in Cowork mode on the desktop app. If you do not have it yet, download it from claude.ai.
Step 2: Install the Plugin
- Open the Claude desktop app and enter Cowork mode
- Click the Plugins icon in the left sidebar
- Select Install from file
- Choose the
.pluginfile you received and confirm the install - You will see all 10 Skills appear under your installed plugins within a few seconds
Step 3: Start Using a Skill Once installed, type / in any Claude conversation to see your available Skills. Each one is listed under the name shown in this guide — "The Positioning Audit," "The ICP Extractor," and so on. Select the skill, paste your input using the starter prompt in this guide, and run it.
That is the entire setup. No API keys, no configuration, no extra tools required.
Note on plan requirements: The Claude Skills system is available on Claude Pro and above. If you are on the free plan, upgrade first — the plugin will not appear in the sidebar without an active paid plan.
1. The Positioning Audit
Skill: campaign-strategy-planning
What it does: Takes your current messaging, a brief company description, and up to 3 competitors — and returns a stress-tested positioning analysis. It identifies where your messaging is generic, where competitors are crowding the same space, and produces a sharpened differentiation statement you can actually use.
When to use it: Before a brand refresh, ahead of a new product launch, when pipeline velocity is slipping and you suspect messaging is the culprit, or when a new competitor enters your category.
Starter prompt:
You are running a positioning audit for my company.
Company: [Company name]
What we do: [1–2 sentences]
Current headline/tagline: [paste it]
Target audience: [who buys from you]
Top 3 competitors: [names + one-line description of their positioning]
Run a full positioning audit:
1. Identify where our messaging is generic or overlaps with competitors
2. Surface the strongest differentiator we're underusing
3. Rewrite our positioning statement to own a distinct and defensible space
4. Give me 3 headline variants to testWhat you get back: A gap analysis of your current vs. competitors' positioning, a rewritten positioning statement, 3 headline variants ranked by strength, and a brief rationale for each.
Pro tip: Paste in your homepage hero copy and a competitor's hero copy side by side. The audit becomes significantly more precise when it can see actual words rather than just company descriptions.
2. The ICP Extractor
Skill: customer-research-personas
What it does: Synthesizes raw qualitative data (reviews, interview transcripts, sales call notes, support tickets) into a structured buyer persona. Goes beyond demographics to surface trigger events, objections, decision criteria, and the exact language your best customers use when they talk about the problem you solve.
When to use it: Before a messaging overhaul, when onboarding a new agency, when your conversion rates are dropping and you need to get back to first principles, or when launching into a new segment.
Starter prompt:
You are building a detailed ICP persona from real customer data.
Product/service: [brief description]
Data source: [paste in reviews / interview transcript / sales notes — as much as you have]
Extract and structure:
1. Core job title and seniority of the buyer
2. The trigger event that made them start looking for a solution
3. Top 3 decision criteria (what they actually evaluated)
4. Key objections they raised before buying
5. The language they use to describe the problem (pull exact phrases from the data)
6. What success looks like to them 90 days after purchase
7. A one-paragraph persona summary written in second person ("You are a...")What you get back: A structured persona with verbatim customer language, trigger events mapped to funnel stages, and a ready-to-use persona summary for briefing agencies, copywriters, or your team.
Pro tip: Feed it your 5-star AND 1-star reviews together. The contrast between what delighted customers and what frustrated them almost always reveals your actual differentiator — which is usually different from what marketing thinks it is.
3. The Competitive Brief
Skill: marketing:competitive-analysis
What it does: Produces a structured competitive positioning comparison across messaging, content strategy, audience targeting, and market presence. Returns a battlecard-style output you can share directly with sales or use to brief a creative team.
When to use it: Before quarterly planning, when a competitor launches something new, when sales is losing deals to a specific competitor and needs talking points, or when you need to brief an agency without giving them access to sensitive internal data.
Starter prompt:
Run a competitive brief comparing my company against [Competitor name].
My company:
- Name: [name]
- Core offer: [description]
- Target audience: [who]
- Primary channels: [list]
Competitor: [name]
Website: [URL if available]
What I know about them: [any context you have]
Produce:
1. Side-by-side positioning comparison (5 dimensions: audience, value prop, tone, primary channel, differentiator)
2. Messaging gaps — what are they NOT saying that we could own?
3. Content angles they're missing
4. 3 battlecard talking points for sales when a prospect mentions them
5. One strategic recommendation for how we should reframe our positioning against themWhat you get back: A structured 5-dimension comparison, identified content and messaging gaps, sales battlecard points, and a recommended counter-positioning move.
Pro tip: If the competitor has a podcast, newsletter, or YouTube channel, paste in 3 to 5 of their recent titles or topics. The pattern of what they're publishing tells you more about their positioning strategy than their homepage copy.
4. The GTM Strategy Builder
Skill: gtm-strategy-builder
What it does: Takes a product or feature description, target audience, and market context — and returns a full go-to-market strategy. Includes positioning statement, channel priority ranking, launch sequencing, messaging by funnel stage, and a 90-day milestone plan.
When to use it: For any new product or feature launch, entering a new market segment, relaunching a product after a pivot, or when you need to get cross-functional teams aligned on a single launch strategy quickly.
Starter prompt:
Build a go-to-market strategy for the following launch.
Product/feature: [name and description]
Target audience: [who, their seniority, their key pain]
Market context: [existing category? new category? competitive landscape?]
Launch timeline: [how many weeks/months]
Available channels: [list what you have — paid, organic, email, events, partnerships]
Key constraint: [budget, team size, or timeline — be specific]
Produce:
1. Positioning statement for this launch
2. Channel priority stack (ranked 1–5 with rationale)
3. Messaging framework by funnel stage (Awareness / Consideration / Decision)
4. Launch week sequence (day-by-day or week-by-week)
5. 90-day success milestones (3 milestones with measurable outcomes)What you get back: A complete GTM brief you can hand to any team lead with clear ownership. Each section is structured to be copy-pasted directly into your launch doc.
Pro tip: Include a "what we are NOT doing" constraint in your input. GTM strategies fail most often from trying to do everything. Forcing the skill to work within constraints produces sharper prioritization.
5. The Attribution Advisor
Skill: attribution-modeling-advisor
What it does: Takes your channel performance data and models contribution to revenue or pipeline. Identifies where budget is being misallocated, flags channels that are getting credit they don't deserve (last-click bias), and produces a recommended reallocation with the rationale to defend it in a board meeting.
When to use it: Quarterly budget reviews, before making significant channel cuts or increases, when a channel's reported performance doesn't match pipeline quality, or when you need to make the case to a CFO for a channel shift.
Starter prompt:
Run an attribution analysis on my current channel mix.
Objective: [pipeline generation / revenue / signups — pick one]
Time period: [e.g. last 90 days]
Channel data (paste what you have):
| Channel | Spend | Attributed Conversions | Attributed Revenue | Notes |
|---------|-------|------------------------|-------------------|-------|
| [channel] | [£/$] | [number] | [£/$] | [e.g. last-click model] |
Additional context:
- Attribution model currently in use: [last-click / linear / data-driven / unknown]
- Average sales cycle: [days]
- Any channels with known tracking gaps: [list]
Produce:
1. Assessment of current attribution model bias
2. Estimated true contribution by channel (adjusted for model limitations)
3. Channels that are likely over-credited and under-credited
4. Recommended budget reallocation (keep total flat)
5. The 2–3 data points I need to collect to improve attribution accuracyWhat you get back: A bias assessment of your current model, adjusted contribution estimates, a reallocation recommendation, and a data collection roadmap to improve accuracy over time.
Pro tip: Include your average sales cycle length. Attribution models that ignore a 60-day sales cycle will always over-credit whatever channel touched the customer last. This single input changes the output significantly.
6. The Market Trend Forecaster
Skill: market-trend-forecaster
What it does: Takes your industry, current strategic bets, and a set of weak signals you've observed — and returns a structured trend analysis with near-term and medium-term scenarios. Designed for quarterly strategic planning, not daily news consumption.
When to use it: Ahead of quarterly planning, when building a board deck that requires a market outlook section, when you're deciding whether to invest in a new channel or capability, or when you need to stress-test a multi-year strategy.
Starter prompt:
Run a market trend forecast for strategic planning purposes.
Industry/category: [your space]
Our current strategic bets: [list 2–3 things you're investing in]
Time horizon: [next 6 months / 12 months / 24 months]
Weak signals I've observed recently: [paste any news, customer conversations, or shifts you've noticed — even anecdotal]
Produce:
1. 3 high-confidence near-term trends (6–12 months) with evidence
2. 2 medium-confidence shifts that could materially change the category (12–24 months)
3. Assessment of how our current bets hold up against each trend
4. One trend that most players in our category are underestimating
5. A "what to watch" list — 3 leading indicators that will tell us if the big shift is acceleratingWhat you get back: A structured trend landscape, a bet assessment against each trend, and a concrete monitoring plan so you're not reacting to change after everyone else has already moved.
Pro tip: Include one "contrarian signal" — something that seems to contradict the mainstream narrative in your industry. The skill is better at surfacing undervalued trends when it has to reconcile competing signals.
7. The Report Synthesiser
Skill: dashboard-narrative-builder
What it does: Turns raw dashboard metrics and KPI exports into a board-ready narrative. Not a summary of what happened — an explanation of what it means, what caused it, and what decision it leads to. Outputs in executive language, not analyst language.
When to use it: Before any board meeting, QBR, or investor update. When you've been given a data dump and have 30 minutes to make it coherent. When your analytics team produces reports that nobody in the leadership team reads.
Starter prompt:
Convert the following marketing metrics into an executive narrative.
Audience: [board / CEO / CFO / investors — pick one]
Period: [e.g. Q1 2026 vs Q4 2025]
Business context: [1–2 sentences on what was happening this quarter — launches, team changes, market shifts]
Metrics (paste your data):
[paste dashboard export, table, or bullet points]
Produce:
1. Opening: 2–3 sentence executive summary (what happened and why it matters)
2. 3 key storylines from the data (not just the biggest numbers — the most meaningful patterns)
3. One result that looks bad but has a defensible explanation
4. One result that looks good but needs a caveat
5. Forward-looking statement: what Q2 should look like given Q1, and what would change that
6. Format: structured for a slide with a headline, 3 bullets, and a recommendationWhat you get back: A narrative-first report structured for executive consumption, with a slide-ready format and a clear forward-looking recommendation.
Pro tip: Tell it the one question you know the CEO or board will ask. "The board always asks about CAC payback period" changes the entire framing of the output — it builds the narrative around the answer they're looking for rather than what looks best in the data.
8. The Assumption Tester
Skill: idea-validator
What it does: Before you greenlight a campaign, budget shift, or new initiative — pressure-tests the core assumptions across three dimensions: is there real demand (Desirability), can it actually be executed (Feasibility), and does the math work (Viability). Returns a structured verdict with the highest-risk assumption and what you'd need to see to proceed with confidence.
When to use it: Before committing budget to a new channel, before approving a large campaign spend, before pitching a new initiative to the board, or when a team brings you an idea that sounds right but you can't immediately identify the flaw.
Starter prompt:
Test the following marketing initiative before I approve it.
Initiative: [describe it in 2–3 sentences]
Proposed budget: [amount]
Expected outcome: [what you're expecting to happen]
Timeline: [when you expect to see results]
Context:
- What evidence supports this idea? [past data, customer feedback, competitor success]
- What's the biggest thing that could go wrong? [your honest answer]
- What would need to be true for this to work? [your assumptions]
Evaluate across three dimensions:
1. Desirability: Is there real evidence customers/audience want this?
2. Feasibility: Can we actually execute this well given our team and tools?
3. Viability: Does the economics work? (even rough math)
Then give me:
- A verdict: Proceed / Proceed with conditions / Do not proceed
- The single highest-risk assumption
- The one test I should run before committing full budgetWhat you get back: A structured three-dimension assessment, a clear verdict, the highest-risk assumption identified, and a minimum viable test to de-risk the decision.
Pro tip: Run this on ideas you're already leaning toward approving. Confirmation bias is strongest when you're excited about something. The skill will surface the flaw you already half-know is there but haven't articulated.
9. The Media Planner
Skill: media-planner
What it does: Takes your total budget, campaign objective, target audience, and available channels — and returns a channel allocation with spend splits, expected reach by tier, and a sequenced activation plan. Built for CMO-level budget decisions, not campaign manager execution.
When to use it: Annual budget planning, campaign budget allocation, when entering a new market and deciding where to spend first, or when the board asks you to justify why you're spending the way you are.
Starter prompt:
Build a media plan for the following campaign.
Objective: [lead generation / brand awareness / pipeline acceleration — pick the primary one]
Total budget: [amount and currency]
Campaign duration: [weeks/months]
Target audience: [seniority, industry, company size]
Geography: [regions/countries]
Available channels (mark which you have access to):
- Paid Search (Google/Bing)
- Paid Social (LinkedIn / Meta / X)
- Programmatic Display
- Sponsored Content / Newsletter
- Events / Webinars
- Organic/Content (SEO, LinkedIn)
- Email (existing list size: [number])
Key constraint: [one thing that limits you — e.g. no brand budget, no content team, 6-week timeline]
Produce:
1. Recommended spend split by channel (percentage + absolute amount)
2. Rationale for the top 2 channels
3. Expected reach and estimated conversions by channel (rough benchmarks)
4. Activation sequence (what to launch first and why)
5. What to cut if budget is reduced by 30%What you get back: A defensible channel allocation with rationale, reach projections, activation sequence, and a contingency plan — structured to justify to a finance team or board.
Pro tip: Include your sales cycle length and average deal size. A media plan for a 7-day e-commerce purchase is completely different from one for a 90-day enterprise deal. This input forces the output to weight channels by their position in a longer funnel rather than by surface-level reach metrics.
10. The Predictive Analytics Translator
Skill: predictive-analytics-translator
What it does: Takes the output from your data or analytics team (model results, forecasts, cohort analyses, churn predictions) and translates it into a strategic brief for marketing leadership. Turns "the model predicts X with 73% confidence" into "here is the decision this supports and what marketing should do next."
When to use it: When your analytics team produces a report that marketing leadership can't act on. When a data scientist presents a model and the room doesn't know what to do with it. When you need to align data insights with quarterly campaign priorities.
Starter prompt:
Translate the following analytics output into a marketing strategy brief.
Audience for this brief: [CMO / VP Marketing / Marketing leadership team]
Original analytics output: [paste the model summary, table, forecast, or report]
Business context:
- What question was this analysis trying to answer? [e.g. "which customers are most likely to churn?"]
- What marketing decisions are currently open? [e.g. retention budget allocation, channel mix for Q2]
- What would change if this prediction is right? [be specific]
Translate into:
1. Plain-language summary (what the model found, in 3 sentences without jargon)
2. The marketing decision this insight directly supports
3. The recommended action (with timeline and owner)
4. What we should monitor to know if the prediction is holding
5. One follow-up question to ask the analytics team that would make this more actionableWhat you get back: A plain-language translation of technical analysis, a clear recommended action with ownership, a monitoring plan, and a follow-up question that makes the analytics team more useful next time.
Pro tip: Paste in the actual model output — numbers, confidence intervals, and all. The skill produces more precise strategic recommendations when it works from the raw data rather than a summarized version. The translation is more accurate when it starts from source material.
Using This Stack
These 10 Skills work best in sequence, not isolation. A typical CMO workflow might look like:
- Positioning Audit to sharpen your message
- ICP Extractor to validate who you're talking to
- GTM Strategy Builder to plan the campaign
- Media Planner to allocate the budget
- Assumption Tester before committing spend
- Attribution Advisor after the campaign to assess what actually drove results
- Report Synthesiser to communicate outcomes to the board
The other three — Competitive Brief, Market Trend Forecaster, and Predictive Analytics Translator — slot into your ongoing strategic planning rhythm rather than campaign-specific workflows.
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@rananjayraj | The AI Driven Marketer Built for founders and senior marketing leaders who want AI systems, not AI tutorials.