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Found 541 Skills
When the user wants to set up, optimize, or manage TikTok Ads. Also use when the user mentions "TikTok Ads," "TikTok for Business," "TikTok Pixel," "Events API," "TikTok Spark Ads," or "TikTok video ads."
Manages Atlassian Jira and Confluence via the Rovo MCP Server. Handles MCP setup, OAuth authentication, and troubleshooting. Runs agentic project management: Confluence plans, Jira Epics with child tickets, agent team coordination, and resuming interrupted work from Jira state. Supports uploading images/attachments to Confluence pages via REST API. Reads and writes Confluence page comments (footer, inline, reply threads). Creates git branches linked to Jira tickets (GitHub and Bitbucket). Use this skill whenever the user mentions Jira, Confluence, Atlassian, tickets, epics, sprints, project boards, wiki pages, or Confluence spaces. Also trigger when the user wants to plan a project, break work into tasks, track progress, resume interrupted work, upload images to wiki pages, manage comments on Confluence pages, or create git branches linked to tickets — even if they don't mention Atlassian by name.
Log what you built (text, images, commits, branches); get LinkedIn, X, Reddit, and standup copy in one go. Stores structured daily logs (logs/YYYY-MM-DD.md) and generates platform-ready drafts (posts/). Use when the user wants to log this, log my day, turn my log into a post, post ideas from my logs, standup from my logs, or drafts for LinkedIn / X / Reddit. Use this skill whenever the user mentions logging their day, turning notes or chat into posts, standup notes, or generating LinkedIn/X/Reddit from dev activity, even if they don't name the skill. Messages that start with "Log: " (with a space) are log requests: log the rest of the message.
Autonomous workflow execution pipeline with CSV wave engine. Session discovery → plan validation → IMPL-*.json → CSV conversion → wave execution via spawn_agents_on_csv → results sync. Task JSONs remain the rich data source; CSV is brief + execution state.
Baseline C# skill loaded for every .NET code path. Guides language patterns (records, pattern matching, primary constructors, C# 8-15), coding standards, async/await, DI, LINQ, serialization, domain modeling, concurrency, Roslyn analyzers, globalization, native interop (P/Invoke, LibraryImport, ComWrappers), WASM interop (JSImport/JSExport), and type design. Spans 25 topics. Do not use for ASP.NET endpoint architecture, UI framework patterns, or CI/CD guidance.
Expert guidance for video editing with ffmpeg, encoding best practices, and quality optimization. Use when working with video files, transcoding, remuxing, encoding settings, color spaces, or troubleshooting video quality issues.
Trigger this skill when the user wants to collect structured data, create forms, or set up submission endpoints. Covers any form type (contact, feedback, signup, waitlist, bug report, support, lead capture, surveys, applications) and any collection method (HTML forms, scripts, AI agents). Also trigger for managing existing forms or submissions, generating frontend form integration code, setting up webhooks or Discord/Slack notifications, configuring spam protection or AI features (translation, smart replies), connecting MCP for AI-assisted form management, or anything referencing Postbox or usepostbox.com. If the user needs data flowing in from anywhere, this skill applies.
Define and organize design tokens (color, spacing, typography, elevation) with naming conventions and usage guidance.
Write a comprehensive design brief that defines the problem space, constraints, audience, and success criteria.
Coordinates multi-session, delegated, or long-running work with persistent state, recovery checks, and explicit status transitions. Use when a task spans multiple turns, multiple agents, background jobs, or scheduled loops, or when interrupted work must be resumed reliably.
Create Feishu Cloud Documents. Create new Feishu Cloud Documents from Lark-flavored Markdown content, with support for specifying creation locations (folders/knowledge bases/knowledge spaces).
Create a consistent spacing system based on a base unit with contextual application rules.