1.9K skills · sorted by relevance
Build dashboards and reports for security operations teams using incident and alert data. Track detection and resolution times, false alarms, analyst workload, and detection coverage to assess operational trends and the effects of improvement initiatives.
Build a Python system that follows DNS history, domain registration records, and certificate information from known suspicious domains or IP addresses. Map related attack infrastructure, identify shared connections, and monitor for newly discovered domains matching known patterns.
Organize Node.js, Express, and TypeScript APIs into layers with clear responsibilities. This guide covers request handling, business logic, database access, input validation, error tracking, configuration, and testing to support consistent implementation and refactoring across services.
Review a resume against a job description to identify missing keywords and formatting that applicant tracking systems may struggle to read. Get a keyword match score and specific suggestions for wording, placement, and layout.
Plan A/B tests that compare page or product changes, with clear hypotheses, sample sizes, success metrics, and traffic allocation. Get a structured test plan and guidance for interpreting results and deciding what to try next.
Turn large product requirements into user stories with acceptance criteria, effort estimates, and priorities. The toolkit supports backlog management, sprint planning based on team capacity, and tracking how much work the team completes over time.
Prepare a new month of tracking in Google Sheets by copying a template tab within the same spreadsheet and renaming the copy for the month you want to record.
Plan and track the month-end accounting close with daily checklists, task dependencies, owners, deadlines, and blockers. Use the included schedules and review questions to coordinate work, assess delays, and identify process improvements.
Analyze sprint history to forecast delivery ranges, score team health, and track retrospective actions. Python tools turn structured sprint data into reports that support planning, highlight recurring problems, and show whether improvement efforts are progressing.
Plan A/B tests that compare page variations, from headlines to pricing layouts. Define a hypothesis, choose success metrics, calculate sample size and duration, and prepare launch checks and results reports to support decisions.
Build automated emails for account registration, invoices, and notifications, from reusable templates to delivery service integration. Includes local previews, multilingual content, dark mode styling, and checks for delivery issues and tracking.
Track work across sessions with persistent issues, dependencies, and progress notes. Use the bd command-line tool to find unblocked work, claim issues, record completion, and recover task context after conversation compaction.
Manage shared project tasks in Beads, from finding available work and claiming tasks to tracking dependencies, recording follow-up work, and closing completed items. Keep project status available across sessions and handoffs.
Create a GitHub tracking issue from a merged Kilo v1 pull request, documenting behavior, edge cases, and acceptance criteria so an agent can verify or rebuild the same behavior in opencode v2.
Research questions about a market, examine recorded ChatGPT answers and cited websites, and identify themes where a brand appears or is missing. Receive ranked prompt groups and suggested questions for future tracking.
Set up Sentry error tracking, investigate production failures, and prioritize issues by user impact. Configure useful alerts and analyze performance traces, which show how time is spent across application operations and services.
Set up W&B to record machine learning metrics and settings, visualize training progress, and compare experiments. Includes automated searches for training settings, version tracking for datasets and models, and shared reports for team collaboration.
Build machine learning workflows that connect data checks, training, evaluation, and deployment. The skill implements experiment tracking, model version management, and automated retraining, with reproducible environments and explicit validation thresholds before models enter production.
Add Sentry error reporting and performance monitoring to services, scheduled jobs, and database operations. Follow examples for capturing exceptions with useful context and measuring execution time through spans, which record individual operations for investigation.
Record an employee’s leave and calculate the first deadline using their work state, leave type, start date, and notice or certification status. Add the entry to a leave register for ongoing deadline tracking.
Add, extend, or review OpenAI Ads conversion tracking for purchases, signups, and other confirmed outcomes. The skill covers browser Pixel events, server-side Conversions API events, duplicate-event prevention, secret handling, and local verification with a setup report.
Integrate Octav API to retrieve crypto balances, transaction history, and portfolio snapshots across multiple blockchains. Track holdings in DeFi, blockchain-based financial services, and filter transactions by network, date, or activity for use in applications.
Manage Xiaohongshu content from topic research to performance tracking. Find audience problems, study successful writing styles, prepare product-focused posts and covers, publish approved content, and collect results to review how posts perform.
Extract details from an Etsy listing URL, including displayed prices, product options and their price ranges, images, descriptions, shop information, ratings, and favorites. Use these records for competitor research or tracking individual listings.