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Found 5,900 Skills
Use when building Elementor addons, creating custom widgets, or managing Elementor components. Covers Widget_Base class (get_name, get_title, get_icon, register_controls, render, content_template), widget registration via elementor/widgets/register hook, addon structure and plugin header, wp_enqueue_script for widget assets, get_script_depends, get_style_depends, inline editing toolbars, custom widget categories, manager registration (register/unregister), selector tokens ({{WRAPPER}}), deprecation handling, and Elementor CLI commands.
Design and implement local push notification campaigns to boost user engagement in mobile apps. Use this skill whenever the user mentions local push notifications, in-app notifications, user engagement campaigns, retention messaging, re-engagement nudges, or wants to add scheduled notifications to their app. Also trigger when the user asks about notification timing strategies, onboarding notification flows, or workout/habit/goal reminder systems. Covers iOS (Swift/UNUserNotificationCenter), Android (Kotlin/WorkManager+NotificationManager), Flutter (flutter_local_notifications), and React Native (notifee/expo-notifications).
Analyzes an MLflow session — a sequence of traces from a multi-turn chat conversation or interaction. Use when the user asks to debug a chat conversation, review session or chat history, find where a multi-turn chat went wrong, or analyze patterns across turns. Triggers on "analyze this session", "what happened in this conversation", "debug session", "review chat history", "where did this chat go wrong", "session traces", "analyze chat", "debug this chat".
Generate realistic KPI benchmarks for an influencer campaign before launch based on industry, platform, creator tier, and budget. This skill should be used when setting performance expectations for a creator campaign, estimating reach engagement and conversion benchmarks before launch, building KPI targets for an influencer program, forecasting campaign performance by creator tier and platform, setting EMV and ROAS targets for a campaign brief, defining what good looks like for an upcoming creator activation, calibrating expectations for a gifting or paid campaign across Instagram TikTok or YouTube, or creating a benchmark framework to measure campaign success against. For calculating ROI after a campaign ends, see campaign-roi-calculator. For calculating engagement rates from actual post data, see engagement-rate-calculator-benchmarker. For building a full KPI framework tied to business objectives, see campaign-goal-to-kpi-framework-builder.
Takes activated influencers and their deliverables and generates a structured monitoring checklist specifying what to capture on each platform, when to check, and what to do if content goes missing. This skill should be used when building a content monitoring plan for a creator campaign, creating a checklist to track influencer deliverables across platforms, setting up a capture schedule for Instagram Stories before they expire, planning when to screenshot or capture creator posts, building a monitoring cadence for TikTok and YouTube deliverables, organizing content capture across multiple creators and platforms, making sure no creator content slips through the cracks, preparing a content tracking plan before a campaign goes live, or setting up a system to catch expiring Stories and time-sensitive posts. For checking whether submitted content matches the brief, see content-to-brief-compliance-checker. For tracking which creators have posted versus who is overdue, see creator-posting-compliance-tracker.
Classify a batch of influencer replies into actionable categories (interested, negotiating, declined, needs info, ghosted) and generate a suggested next action for each. This skill should be used when triaging creator responses, classifying influencer replies, sorting outreach responses, categorizing creator DMs, reviewing batch replies, processing influencer inbox, prioritizing creator follow-ups, organizing outreach results, checking who replied to a campaign, figuring out which creators to follow up with, or cleaning up a messy outreach thread. For writing the initial outreach messages, see outreach-writer. For negotiating rates with creators, see rate-negotiation-playbook.
Create and manage persistent markdown planning files for structured task execution. Use when the user asks to "create a plan", "track progress", "start a research project", or when a task requires more than 5 tool calls and needs structured phase tracking to stay focused and avoid goal drift.
This skill orchestrates autonomous discovery of brand materials across enterprise platforms (Notion, Confluence, Google Drive, Box, SharePoint, Figma, Gong, Granola, Slack). It should be used when the user asks to "discover brand materials", "find brand documents", "search for brand guidelines", "audit brand content", "what brand materials do we have", "find our style guide", "where are our brand docs", "do we have a style guide", "discover brand voice", "brand content audit", or "find brand assets".
Perform systematic self-review of code changes before commits using structured checklist. Validates architecture boundaries, code quality, test coverage, documentation, and project-specific anti-patterns. Use before committing, creating PRs, or when user says "review my changes", "self-review", "check my code". Adapts to Python, JavaScript, TypeScript, Go, Rust projects.
LinkedIn post generation from meeting transcripts, Slack dumps, and other source material, written in the user's personal writing style. Use this skill when: generating LinkedIn posts, creating social content from internal material, ghostwriting LinkedIn content, or when the user mentions LinkedIn, social posts, or content generation from transcripts/notes. Supports personal style profiles stored locally per user. Can auto-pull source material from Fireflies.ai, Slack channels, and Google Drive.
Full Sentry SDK setup for Python. Use when asked to "add Sentry to Python", "install sentry-sdk", "setup Sentry in Python", or configure error monitoring, tracing, profiling, logging, metrics, crons, or AI monitoring for Python applications. Supports Django, Flask, FastAPI, Celery, Starlette, AIOHTTP, Tornado, and more.
This skill should be used when the user asks to "explain security concept", "what is OWASP", "explain this finding", "what does this vulnerability mean", "explain stride", "explain injection", "what is CSRF", "explain spoofing", "what does INJ-003 mean", "compare stride vs pasta", or asks any question about security terminology, frameworks, vulnerability categories, or specific findings. Works at framework, category, finding, and comparison levels.