Claude Skills by akhilkannur

Parses a public company's 10-K (Annual Report) to extract specific 'Risk Factors' and generates a cold email positioning your product as the solution.

Don't just say 'You forgot this.' This agent scrapes your product page to find the specific key benefit (e.g., 'Full Grain Leather') and uses it to write a persuasive, 3-part SMS recovery sequence automatically.

Takes a high-value target account (e.g., 'Nike'), researches their 10-k or recent strategic initiatives, and writes custom headlines and body copy for an 'Account Based Marketing' landing page.

Aggregates multiple intent data sources into a single account-level 'Heat Score'.

Researches a prospect's Twitter/LinkedIn interests (e.g., 'Coffee', 'Golf', 'Sci-Fi'). Suggests a $50 gift that matches their hobby.

Analyzes firmographic data and intent signals to categorize target accounts into priority tiers.

Faceless brands are dead. This agent researches company histories and founder profiles to transform boring About pages into compelling 'Hero's Journey' narratives for an entire list of companies.

Groups separate account records into a parent-child hierarchy based on shared domain and corporate suffix patterns.

Tracks the percentage of users who reach 'Activation' within 7 days, grouped by signup month.

Compares active competitor ad headlines week-over-week to detect strategic messaging shifts.

Counting characters is boring. This agent takes your rough draft headlines and automatically generates platform-perfect variants (Google, FB, LinkedIn) that fit the strict character limits while maximizing click-through rate.

The best ad hook isn't what you say about yourself; it's what their customers hate about them. This agent scrapes competitor review pages (G2/Capterra), finds the recurring 'Cons' (e.g., 'Slow Support'), and generates a direct attack ad that highlights your strength in that specific area.

Flags ad creatives where the Click-Through Rate (CTR) has dropped by 50% week-over-week, indicating fatigue.

Ad fatigue kills ROI. This agent tracks the relationship between 'Frequency' (Avg times seen) and 'CTR' or 'CPA' in your campaign data, identifying the exact tipping point where performance degrades so you can set a cap.

Ads disappear. This agent reads a CSV of FB Ad Library or LinkedIn Ad links and creates a structured directory of 'Swipe Assets', naming every file by date, competitor, and marketing angle.

Filters a placement report to find URLs containing 'game', 'puzzle', or 'mobile' to add to your exclusion list.

Overspending gets you fired. Underspending gets you yelled at. This agent takes your Month-to-Date spend and Total Budget, calculating exactly how much you need to spend *daily* for the rest of the month to hit the target perfectly.

Takes one winning ad (yours or a competitor's) and generates 10 high-quality variations using proven psychological frameworks like PAS, AIDA, and BAB.

Why is the competition winning? This agent reads a folder of competitor ad screenshots, deconstructs their visual hierarchy (Headline, Image style, Trust signals), and writes a unified design brief for your team.

Ensures you don't ask the same customer for a Case Study, Reference, and Quote all in the same month.

Checks applicant URL. Flags sites that are 'Coupon Farms', 'Adult Content', or 'Domain Parked'. Approves content creators automatically.

Affiliates drive 30% of revenue for SaaS. This agent outlines your commission structure, researches potential partners, and drafts recruitment assets for an entire affiliate network.

AI agents struggle when they don't know your project's structure. This agent scans your current directory, identifies key files/stacks, and generates an `AGENTS.md` file. This file acts as a 'ReadMe for Robots,' ensuring every future agent knows exactly how to work with your code.

Stop repeating yourself. Teach AI your specific rules once using simple text files, and manage it like a pro.

High-intent buyers search for 'Alternatives to [Competitor]'. This agent reads a list of competitors from a CSV, researches their weaknesses, and generates a library of comparison landing pages that position YOUR product as the winner.

Warm introductions convert 5x better than cold outreach. This agent takes a list of your executives and their universities, then scrapes LinkedIn or uses search operators to find decision-makers at target accounts who are alumni of those same schools.

Angel investors often influence the tech stack of their portfolio companies. This agent scans the portfolios of specific Angels (via Crunchbase or LinkedIn) to find early-stage startups that fit your ICP, leveraging the 'friendly investor' angle.

Public companies reveal their buying intent in 10-K reports. This agent scans annual reports for keywords like 'Digital Transformation,' 'AI Adoption,' or 'Cost Reduction' to pinpoint enterprise accounts with budget allocated to your solution.

Ensure the demo never breaks. This agent reads a list of API endpoints from a CSV, tests them for speed and response structure, and generates a 'Green/Red' status report for the team.

Correlates server logs (500 errors) with Customer Lists. Alerts the CSM immediately if a >$50k ARR customer hits an error.

Stale keys are a security risk. This agent generates safety-first checklists for rotating API keys across multiple services (Stripe, AWS, SendGrid) without breaking production.

Usage-based pricing is hard to track. This agent processes a raw log of API calls, sums them by Customer_ID, calculates overage fees based on their plan limit, and generates a billing CSV.

Screenshots are your app's billboard. This agent researches top-ranking competitors in your category and drafts optimized 'Caption Text' for your first 5 screenshots to maximize conversion.

Facebook says they drove the sale. Google says they did. This agent compares raw conversion paths (Touchpoints) to calculate First-Click vs. Last-Click vs. Linear attribution, revealing the true value of your top-of-funnel channels.

Compares revenue attributed under a 1-day click vs 7-day click window to understand ad latency.

Are your showing the same ad to the same person in two different ad sets? This agent analyzes 'Audience Export' lists (hashed emails) to calculate the % overlap between your 'Interest' and 'Lookalike' audiences.

Uses web search to find recent news, earnings calls, and reviews. Compiles a Strength, Weakness, Opportunity, Threat matrix for your quarterly review.

Stop editing videos manually. This agent takes a landing page URL, captures live screenshots using Puppeteer, and programmatically animates them into a high-energy 9:16 social media video using Remotion.

Reads a webinar participant list, splits them into 'Attended' and 'Missed', and drafts a 3-email sequence customized for each group (Recap vs. Replay).

This is the 'Master Blueprint' for long-running autonomous tasks. Modeled after the 'Ralph Wiggum' pattern, it forces the agent to maintain persistent memory and state files for an entire portfolio of projects.

Searches for companies in your target segments, filters out agencies, and builds a qualified prospect list.

AI Avatars need more than just text; they need gestures and timing. This agent takes a list of topics and generates casual, 'Avatar-Ready' scripts with gestural commands (e.g., [nod], [point], [pause]).

Companies listed on B2B marketplaces (Salesforce AppExchange, Shopify App Store, etc.) are tech-forward and often pay for other SaaS tools. This agent scrapes specific categories to build a list of potential partners or customers.

Scores a list of backlinks based on Domain Authority (DA) and Spam Score assumptions.

Not all links are good. This agent audits a list of backlinks for 'Risk Signals' (High Spam Score, Irrelevant TLD, Foreign Language anchor text) and creates a disavow file for Google.

Unhappy customers are the easiest leads to close. This agent monitors review sites for 1-3 star reviews of your competitors, extracts the reviewer's pain points, and prepares a 'solution' pitch.

Finds correlations between products in the same order to power 'Frequently Bought Together' widgets.

Analyzes CMS view logs to see which sales assets (battlecards, case studies) are being viewed by the team.

Monitors inventory levels of 'A-Class' SKUs and triggers a marketing alert when stock goes from 0 to >100.

Identifies users in the Beta program who haven't logged in since the feature release, to free up spots.