
Claude Skills by akhilkannur
github.com/akhilkannurChoice paralysis kills sales. This agent audits your current 'Link in Bio' page (if provided) or researches high-converting layouts for your niche to suggest a prioritized structure that drives users toward your primary offer.
Takes two separate exports (Closed Deals from CRM and Traffic Logs from Analytics), stitches them together by Email, and calculates the exact revenue revenue per entry page.
Board members often sit on multiple boards. This agent maps the web of connections between your investors/board and target accounts, identifying high-level 'side door' entry points.
Sales Navigator is powerful, but only if you speak 'Boolean'. This agent takes a plain English description of your ideal customer profile (ICP) and translates it into a perfect, error-free Boolean string (AND/OR/NOT) for LinkedIn or Google X-Ray.
Takes team availability and conference hours. Generates a schedule ensuring senior staff are present during 'Peak Traffic' hours.
Instantly create cohesive visual identity starter kits for multiple projects. This agent generates logos, seamless background patterns, and defines color palettes for an entire portfolio of brands.
Different employees write differently. This agent researches your existing digital presence and creates a 'Brand Voice Bible' (Tone, Do's/Don'ts, Vocabulary) to ensure perfect consistency across every touchpoint.
Parses a list of image URLs and their status codes to identify broken assets.
Compares Average Order Value (AOV) and Margin of bundled vs a la carte orders.
Scores customers based on spend, tenure, and strategic value to find ideal candidates for your Customer Advisory Board.
CAC creeps up slowly, then all at once. This agent monitors your Blended CAC for 'Spikes' (>20% MoM) and automatically diagnoses the root cause (e.g., 'Did spend double?' or 'Did conversion rate crash?').
Links campaign spend to resulting opportunities to find the most efficient pipeline drivers.
Audits campaign names to ensure they follow the pattern: `Region_Channel_Date_Name`.
Technical debt is invisible until traffic drops. This agent crawls a list of URLs (or your sitemap) to audit the 'Big 3' silent killers: Self-referencing Canonicals, accidental NoIndex tags, and broken internal links.
Checks if the page URL matches the Canonical URL tag. Flags mismatches.
Splits cart abandoners into 'High Value' (for personal outreach) and 'Low Value' (for automated email).
Flags case studies published more than 24 months ago for retirement or refresh.
Logos reveal strategy. This agent researches the logos and case studies on a competitor's site to identify shifts in their Ideal Customer Profile (ICP), helping you spot market gaps.
Don't buy based on last month's sales; buy based on next month's demand. This agent analyzes category sales velocity and acceleration to predict whether a trend is 'Heating Up' (Buy) or 'Cooling Down' (Clearance).
Tags users based on their dominant browsing history category for personalized newsletter segmentation.
Identifies the specific step (Shipping Info vs Payment Method) where users abandon the checkout flow.
Looking for the 'Death Spiral'. Flags users who have: Low Login Frequency + High Support Ticket Volume + No Feature Usage in 30 days.
Aggregates structured exit survey data to find the top 3 reasons for cancellation.
Exit surveys are often ignored. This agent analyzes open-ended 'Why did you cancel?' responses, clusters them into root causes (e.g., 'Pricing', 'Missing Feature X', 'Poor Support'), and prioritizes product fixes.
If you ask cancelled users for a video feedback, this agent watches them. It notes 'Anger' vs 'Disappointment' and extracts the specific feature request mentioned.
Reads a CSV of recent support tickets, analyzes the sentiment and urgency of the language, and flags customers who show signs of frustration or 'pre-churn' behavior.
Compares yesterday's usage to the 7-day average to flag sudden drops that indicate churn risk.
Reads unstructured 'Why did you cancel?' survey responses, groups them into root causes (Price, Product, Service), and calculates the '% of Revenue Lost' for each category.
Comments are the highest signal of interest. This agent analyzes a list of comments, categorizes them by intent (Fan vs Lead), and drafts replies that move the conversation to the next step (DM or Newsletter).
Compares the text content of a competitor's homepage from 'Before' and 'After' snapshots to highlight messaging shifts.
Tracks departures from key competitor roles (Sales VP, Product Lead) via LinkedIn signal data.
Manual feature matrices are always out of date. This agent visits competitor pricing and feature pages, scrapes the 'Included' lists, and organizes them into a comparison matrix to find what you are missing.
Job boards reveal secret strategies. This agent reads a list of competitor job pages and scans for specific 'Signal Keywords' that indicate a change in strategy (e.g., a sudden spike in 'Enterprise' or 'Partner' roles).
Goes beyond traffic stats to detect 'Semantic Decay.' This agent analyzes if your content is becoming outdated compared to current AI search trends and rising industry entities, flagging exactly what needs refreshing to stay competitive.
Turns your blog posts into ready-to-post content for Twitter/X, LinkedIn, and your newsletter.
Identifies customers who bought a specific primary product (e.g., Tent) but have NOT yet bought the accessory (e.g., Footprint).
Generic buttons like 'Submit' kill conversion. This agent rewrites your Call-to-Action (CTA) buttons to be value-driven and suggests color/placement changes for an entire suite of landing pages.
Just because a customer spends little doesn't mean they are small. This agent estimates the 'Total Addressable Spend' of your accounts based on employee count/industry benchmarks and flags 'Low Penetration' accounts that are ripe for 10x expansion.
Checks if customers with high support ticket volume actually have higher or lower Lifetime Value.
Segments users who *only* buy items on discount vs those who buy full price, to optimize margin preservation.
Finds discount codes with suspicious usage spikes (e.g. 1000 uses in 1 hour) indicating a leak to coupon sites.
Identifies users dependent on a feature being removed. Drafts a timeline of 3 emails: 'Heads up', 'Alternative Workflows', and 'Final Reminder'.
Tracks inventory depletion during a sale event to recommend pausing ad spend if stock hits <5%.
Franchise consistency is a two-front war: Visuals and Voice. This agent audits local social posts or webpages, using Vision to flag stretched/outdated logos and Text Analysis to rewrite off-brand copy into your Headquarters voice.
Simulates margin impact of moving free shipping thresholds based on current basket distributions.
Segments users who *only* purchase during Q4 (Black Friday/Cyber Monday) for specific holiday warm-up campaigns.
Scans your documentation and key pages to create a structured text file optimized for LLM reading.
Analyzes point accrual vs redemption rates. Predicts the liability reduction from expiring points this quarter.
Flags customers with loyalty points expiring in the next 30 days to drive urgency purchases.
Automatically captures, crops, and beautifies screenshots from URLs for your portfolio or docs.