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Found 1,168 Skills
Normalize messy creator campaign metrics from multiple sources into a single clean table with standardized field names ready to merge into your master tracker. This skill should be used when cleaning up influencer metrics, standardizing campaign data from multiple platforms, normalizing creator performance numbers, merging metrics from Instagram and TikTok and YouTube into one sheet, formatting messy analytics exports, preparing campaign data for a master spreadsheet, converting raw platform stats into a consistent format, combining metrics from different reporting tools, deduplicating creator data from multiple sources, fixing inconsistent column names across exports, or cleaning up a metrics dump before reporting. For calculating engagement rates, see engagement-rate-calculator-benchmarker. For full campaign reports, see campaign-roi-calculator. For parsing a single Story screenshot, see story-metrics-screenshot-parser.
Blind Spot Scan —— Read all your conversations with AI from yesterday, identify exposed cognitive blind spots (not gaps in knowledge, but thinking habits that keep certain truths consistently invisible), then select a precise chapter from WeChat Reading to fill the gap and compile a complete analysis note. Use when user says '扫盲区', '盲区', '照盲区', '看看我的思维盲区', '我昨天想漏了什么', 'blind spot', 'ljg-blind', '/ljg-blind', or requests analysis of yesterday's AI conversations for cognitive blind spots along with a targeted weread chapter to address them. Optional parameter: Pass a date (YYYY-MM-DD) to scan that day instead of yesterday. NOT FOR deep diving into a single opinion (use ljg-think), ranking down a field (use ljg-rank), reading along with a text (use ljg-read), or finding constraints in a field (use ljg-constraint).
Plan and execute incremental product isolation migrations to a facade plus contract layer in PostHog, following the Visual review architecture. Use when a product still exposes internals (models/logic/views) across boundaries and needs a safe, multi-PR migration toward contracts.py + facade/api.py + presentation separation.
Guide for building WebMCP tools — client-side JavaScript tools that expose web application functionality to AI agents via the browser's navigator.modelContext API.
End-to-end epidemiological data analysis — from research question to statistical report. Covers study design assessment, dataset discovery and download, data wrangling, confounder adjustment, regression modeling, sensitivity analysis, visualization, and biological interpretation. Integrates ToolUniverse tools for dataset discovery, literature search, and biological context with Python code execution for data analysis. Use whenever users ask to analyze health data, study disease risk factors, assess exposure-outcome relationships, or conduct observational epidemiology. Also use when users want to run regression on clinical/survey data, calculate odds ratios or hazard ratios from a dataset, adjust for confounders, or produce a Table 1. If the task involves downloading a health dataset and running statistical analysis on it, this is the right skill.
Guide for implementing Syncfusion Windows Forms Pivot Grid control for data analysis and pivot table functionality. Use this skill when implementing pivot tables, data summarization, cross-tabulated data, or analytical dashboards in Windows Forms applications. Covers data binding, pivot configuration, filtering, sorting, grouping, calculations, conditional formatting, and exporting.
Perform a systematic security audit of a codebase, checking for OWASP Top 10 vulnerabilities, secrets exposure, and insecure patterns.
Query and export local WeChat data (messages, contacts, moments, favorites) from the command line with daemon architecture
Automatically generate Excel reports from data sources including CSV, databases, or Python data structures. Supports data analysis reports, business reports, data export, and template-based report generation using pandas and openpyxl. Activate when users mention Excel, spreadsheet, report generation, data export, or business reporting.
Extract structured data from multiple web pages using Playwright with built-in ethical crawling practices including rate limiting, robots.txt compliance, and error monitoring. Use when asked to "scrape data from", "extract information from pages", "collect data from site", "crawl multiple pages", or when gathering structured data from websites. Supports pagination, multi-page extraction, data aggregation, and export to CSV/JSON/Markdown. Works with browser_navigate, browser_evaluate, browser_wait_for, and browser_snapshot tools.
Pull AWS Security Agent findings (penetration tests and code reviews) and drive remediation. Use this whenever the user mentions Security Agent, security findings, pentest or penetration test results, code review findings, vulnerabilities found in their AWS account, "what did the security scan find", remediating or triaging security risks, or wants to start fixing reported vulnerabilities — even if they don't name the service explicitly. Trigger it for phrases like "get my security findings", "what vulnerabilities do we have", "let's fix the pentest results", or "triage the security report". The skill discovers scans, exports findings to a gitignored local directory (so sensitive exploit detail is never committed), produces a prioritized triage summary, and offers to start fixing the highest-risk issues.
NVPanoptix3D for panoptic 3D scene reconstruction from posed RGB images. Produces 3D panoptic segmentation (semantic, instance, and panoptic masks) with occupancy completion. Built on a VGGT backbone with a Mask2Former-style head and 3D frustum reconstruction. Use when training, evaluating, exporting, or running inference for a TAO NVPanoptix3D model. Trigger phrases include "train NVPanoptix3D", "panoptic 3D reconstruction", "3D scene segmentation", "occupancy completion".