Total 50,676 skills, AI & Machine Learning has 8495 skills
Showing 12 of 8495 skills
Expert guidance for Google Veo 3.1 video generation. Use when the user wants to (1) create text-to-video or image-to-video prompts, (2) optimize for cinematic quality and native audio syncing, (3) maintain character consistency via reference images, (4) structure multi-shot sequences with timestamp prompting, (5) use First/Last Frame interpolation, (6) select between standard and fast generation modes, or (7) troubleshoot physics, motion, or audio issues in generated video.
Run a simulated meeting with multiple expert personas to analyze a subject from diverse perspectives, reach a decision, and propose a solution before implementation. Optionally posts the meeting analysis to a linked GitLab or GitHub issue.
Minimal realtime ASR smoke test for Model Studio Qwen ASR Realtime.
Use when visual reasoning is needed with Alibaba Cloud Model Studio QVQ models, including step-by-step image reasoning, chart analysis, and visually grounded problem solving.
Show how much context window context-mode saved this session. Displays token consumption, context savings ratio, and per-tool breakdown. Trigger: /context-mode:ctx-stats
Use when Alibaba Cloud Model Studio video editing models are needed for style transfer, keyframe-controlled editing, lip sync, retalk, or animation remix workflows.
Skill to create custom agents for VS Code Copilot or OpenCode, helping users configure and generate agent files with proper formatting and configurations. Use when users want to create specialized AI assistants for VS Code Copilot (.agent.md files) or OpenCode (JSON/markdown agent configs) with specific tools, prompts, models, and behaviors. If the user is not specific about the target platform, ask them to specify Copilot or OpenCode.
Meta-prompting framework for critiquing responses, analyzing solution trajectories, and evaluating AI-generated content quality
Autonomous development agent that picks tasks from a project board (Jira, ClickUp, GitHub Issues), explores the codebase, implements the solution, opens a PR, and notifies the team. Configurable per-project via project files in ~/.config/delivering-tickets/projects/. Use this skill when the user asks to "work on a ticket", "pick up a task", "implement issue X", "work autonomously on the board", "take the next task", or any variation of autonomous task execution from a project board. Also triggers when the user mentions delivering-tickets, project configuration, or wants to set up autonomous development workflows for their team. Available commands: /delivering-tickets (start), /delivering-tickets:check (check replies), /delivering-tickets:status (workflow status), /delivering-tickets:setup (verify environment), /delivering-tickets:project (manage projects). Do NOT use for general coding without a ticket, standalone code reviews, project setup without a board configured, or questions unrelated to task execution from a project board.
A 10-step methodology for building software with AI collaboration - from north star through automated Ralph loop execution with zero human-in-the-loop code writing
Use this skill when you need guidance on which skill to use for any task. Recommends the perfect skill, creates skill combinations, and helps you discover capabilities you didn't know you had.
Provides strategic insights on AI-driven software democratization and agent-based development trends from Replit's perspective. Use when discussing the future of software engineering, AI agent infrastructure requirements, democratization of coding, or when analyzing how AI will transform software creation from expert-only to universal access. Triggers include questions about software engineering automation trends, agent sandbox environments, SWE-bench benchmarks, or strategic implications of AI coding assistants for startups and enterprises.