Data & Analytics

shulkwisec Skill

Detects code quality vulnerabilities in mobile apps (Android/iOS). Trigger on: SQL injection in SQLite, JavaScript injection in WebViews, intent injection, unsafe deserialization, NSKeyedUnarchiver, NSCoding, Java serialization, Parcelable, buffer overflow, JNI native code, PIE disabled, NX disabled, stack canary absent, RELRO, ARC disabled, third-party library CVE, vulnerable dependency, outdated SDK, targetSdkVersion, update enforcement missing, implicit Intent, URL loading in WebView, object persistence, memory corruption, OWASP dependency check. Covers MASVS-CODE-1/2/3/4.

shulkwisec Bundle

Identify and exploit SQL Injection vulnerabilities in Django applications, specifically focusing on edge cases involving raw querysets (`RawSQL`), improper use of `.extra()`, and poorly sanitized filters where Django's typical ORM protections are bypassed.

shulkwisec Skill

CSV/spreadsheet formula injection (DDE, Excel/LibreOffice, Google Sheets IMPORT*). Use when exports, imports, or user fields feed spreadsheets or reporting tools.

shulkwisec Bundle

Java "Ghost Bits" / Cast Attack playbook (Black Hat Asia 2026). Use when attacking Java services where 16-bit char is silently narrowed to 8-bit byte to bypass WAF/IDS for SQL injection, deserialization RCE, file upload (Webshell), path traversal, CRLF injection, request smuggling, and SMTP injection. Affects Tomcat, Spring, Jetty, Undertow, Vert.x, Jackson, Fastjson, Apache Commons BCEL, Apache HttpClient, Angus Mail, JDK HttpServer, Lettuce, Jodd, XMLWriter and re-enables many "patched" CVEs through WAF bypass.

shulkwisec Bundle

Detect and exploit SQL injection vulnerabilities using both manual techniques and automated tools. Use this skill when testing web applications for database injection flaws including UNION-based, error-based, blind boolean, blind time-based, and out-of-band SQL injection. Covers WAF bypass, second-order SQLi, authentication bypass, and full database extraction with sqlmap.

shulkwisec Bundle

Execute advanced SQL Injection attacks to bypass WAFs and extract data from complex architectures. Use this skill for Boolean-Based Blind, Time-Based Blind, Second-Order SQLi, and Out-of-Band (OOB) SQLi across MySQL, PostgreSQL, MSSQL, and Oracle.

levalencia Bundle

Database design, SQL, NoSQL, and data management patterns

levalencia Bundle

Comprehensive Kargo GitOps continuous promotion platform skill. Use when implementing progressive delivery pipelines, promotion workflows, freight management, ArgoCD integration, warehouse configuration, stage pipelines, verification templates, or any Kargo-related tasks. Covers installation, core concepts, patterns, security, and complete YAML examples.

levalencia Bundle

When the user wants to create, plan, or optimize a lead magnet for email capture or lead generation. Also use when the user mentions "lead magnet," "gated content," "content upgrade," "downloadable," "ebook," "cheat sheet," "checklist," "template download," "opt-in," "freebie," "PDF download," "resource library," "content offer," "email capture content," "Notion template," "spreadsheet template," or "what should I give away for emails." Use this for planning what to create and how to distribute it. For interactive tools as lead magnets, see free-tool-strategy. For writing the actual content, see copywriting. For the email sequence after capture, see email-sequence.

levalencia Bundle

Track all identified/contacted people across strategies. CSV-backed contact database with dedup by LinkedIn URL or email. Prevents duplicate outreach when running strategies on a recurring cadence.

levalencia Bundle

This skill should be used when analyzing Wispr Flow voice dictation history for self-reflection, work patterns, mental health insights, or productivity analytics. Triggered by requests like "/wispr-analytics", "analyze my dictations", "what did I dictate today", "wispr reflection", or any request to review voice dictation patterns. Supports modes - technical (coding/work), soft (communication), trends (volume/frequency), mental (sentiment/energy/rumination).

levalencia Bundle

Track product champions for job changes and qualify their new companies against ICP. Takes a CSV of known champions (with LinkedIn URLs), creates a baseline snapshot via Apify enrichment, then detects when champions move to new companies. Scores new companies on a 0-4 ICP fit scale. Outputs a downloadable CSV of movers with qualification verdicts.

levalencia Skill

Data engineering patterns for ETL pipelines, data warehousing, Apache Spark, and data quality validation

levalencia Skill

Use this agent when you need to perform security audits, vulnerability assessments, or security reviews of code. This includes checking for common security vulnerabilities, validating input handling, reviewing authentication/authorization implementations, scanning for hardcoded secrets, and ensuring OWASP compliance. <example>Context: The user wants to ensure their newly implemented API endpoints are secure before deployment.\nuser: "I've just finished implementing the user authentication endpoints. Can you check them for security issues?"\nassistant: "I'll use the security-sentinel agent to perform a comprehensive security review of your authentication endpoints."\n<commentary>Since the user is asking for a security review of authentication code, use the security-sentinel agent to scan for vulnerabilities and ensure secure implementation.</commentary></example> <example>Context: The user is concerned about potential SQL injection vulnerabilities in their database queries.\nuser: "I'm worried about SQL inj...

levalencia Skill

Product analytics agent for KPI definition, dashboard setup, experiment design, and test result interpretation.

levalencia Bundle

Lead qualification engine with conversational intake. Asks structured questions to understand your qualification criteria, generates a reusable qualification prompt, then batch-enriches leads via Apify LinkedIn scraping and scores them with parallel processing. Outputs qualified/disqualified verdicts with confidence scores and reasoning to Google Sheets (via Rube) or CSV. Supports calibration mode for prompt refinement.

levalencia Skill

Use this agent when you need to analyze code for performance issues, optimize algorithms, identify bottlenecks, or ensure scalability. This includes reviewing database queries, memory usage, caching strategies, and overall system performance. The agent should be invoked after implementing features or when performance concerns arise.\n\n<example>\nContext: The user has just implemented a new feature that processes user data.\nuser: "I've implemented the user analytics feature. Can you check if it will scale?"\nassistant: "I'll use the performance-oracle agent to analyze the scalability and performance characteristics of your implementation."\n<commentary>\nSince the user is concerned about scalability, use the Task tool to launch the performance-oracle agent to analyze the code for performance issues.\n</commentary>\n</example>\n\n<example>\nContext: The user is experiencing slow API responses.\nuser: "The API endpoint for fetching reports is taking over 2 seconds to respond"\nassistant: "Let me invoke the...

levalencia Bundle

Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.

levalencia Skill

A comprehensive guide for interacting with PostgreSQL 16 databases. Use this skill for constructing standard and advanced SQL queries, optimizing performance, debugging errors, managing schema objects, and introspecting database structure.

levalencia Skill

World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. Covers A/B testing (sample sizing, two-proportion z-tests, Bonferroni correction), difference-in-differences, feature engineering pipelines (Scikit-learn, XGBoost), cross-validated model evaluation (AUC-ROC, AUC-PR, SHAP), and MLflow experiment tracking — using Python (NumPy, Pandas, Scikit-learn), R, and SQL. Use when designing or analysing controlled experiments, building and evaluating classification or regression models, performing causal analysis on observational data, engineering features for structured tabular datasets, or translating statistical findings into data-driven business decisions.

levalencia Bundle

Search LinkedIn posts by keywords using Crustdata API directly, deduplicate and sort by engagement. Outputs to CSV or JSON. Use when researching LinkedIn content around specific topics.

levalencia Bundle

Checks hardcoded secrets, SQL injection, XSS, insecure dependencies, missing input validation. Returns findings with severity, location, effort, recommendations.

levalencia Bundle

Find leads by scraping engagers from a competitor's top LinkedIn posts. Given one or more company page URLs, scrapes recent posts, ranks by engagement, selects the top N, extracts all reactors and commenters, ICP-classifies, and exports CSV. Use when someone wants to "find leads engaging with competitor content" or "scrape people who interact with [company]'s LinkedIn posts".

levalencia Bundle

Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.

heath-gtm Bundle

Find the next expansion inside an account and build the pitch that lands it. It reads the signals that say ready, picks the right play (seats, tiers, or a new use case), and writes the ask tied to an outcome the customer already values. Built for B2B customer success and account teams, customizable to your CRM and product analytics. Trigger on "where can I expand this account", "is this account ready to grow", "build an upsell", "cross-sell play", "expansion pitch", or any grow-the-account move.

heath-gtm Bundle

Build a health-score model for a book of business you can actually defend. It picks the inputs, sets the weights, draws the green/yellow/red thresholds, and assigns a specific action to each tier so the score drives work, not just a color. Built for B2B customer success teams, customizable to your CRM and product analytics. Trigger on "build a health score", "score my book", "why is this account yellow", "health model for renewals", "what makes an account red", or any book-of-business scoring.

heath-gtm Bundle

Turn "how are they using us?" into a product-engagement read. Adoption tiers per capability, a rising/flat/declining trend on every one, power-user identification, and a ghost-active check that catches accounts that look alive but create no value. Built for any product team, customizable to your product-analytics tool and your capability list. Trigger on "how is this account using us", "is this domain active", "find power users at this company", "what have they not adopted yet", "who signed up recently", "are they really engaged", or any product-usage question.

heath-gtm Bundle

Analyze email sequence and cadence performance with stage-level insights and actionable optimization recommendations. Pulls sequence data from your sales-engagement tool, identifies drop-off stages, benchmarks metrics against best practices, and suggests specific improvements. Trigger on "sequence performance", "how are my sequences doing", "sequence analytics", "cadence performance", "which sequences are working", "sequence optimization", "open rates", "reply rates", "click rates", "bounce rates", "my sequences aren't working", "low reply rates", "improve my outreach", or any request to analyze or improve email sequence effectiveness.

jantoniofc Skill

Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.

jantoniofc Skill

Database development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.

jantoniofc Bundle

Integracao completa com Instagram via Graph API. Publicacao, analytics, comentarios, DMs, hashtags, agendamento, templates e gestao de contas Business/Creator.

jantoniofc Skill

Client-side tracking with Analytics.js. Include track, identify, page, and group calls. Anonymous ID persists until identify merges with user.

jantoniofc Bundle

Translate natural language to SQL, optimize query performance, and interpret EXPLAIN plans for SQLite and PostgreSQL.

jantoniofc Bundle

Web scraping inteligente multi-estrategia. Extrai dados estruturados de paginas web (tabelas, listas, precos). Paginacao, monitoramento e export CSV/JSON.

jantoniofc Skill

Startup CFO who builds models that survive contact with reality. Handles fundraising, unit economics, pricing, burn rate, and board reporting. Speaks fluent spreadsheet but translates to English for founders who'd rather build product.

jantoniofc Skill

Audit SQL for the cost & performance anti-patterns that burn warehouse credits. Scores warehouse health 0-100 and outputs a prioritized cost-reduction plan for BigQuery, Snowflake, Redshift, and Postgres.