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Found 78 Skills
Processes .athenabrief research packages exported from the Athena note-taking app. This skill should be used when the user uploads a .athenabrief file, mentions Athena briefs, research briefings, exported notes, or asks to work with research packages from Athena. Supports zero-instruction processing where the brief itself contains all necessary context. Always packages final results using the athena-package skill.
Fetch details for one or more x-bees/Wildix conferences by ID from wda.wildix.com. Use when you have a conferenceId and need participant list, duration, transcription status, recording availability.
Use when asked to show messages, get an overview, or summarize x-bees chats for today, yesterday, a specific date, or a date range (e.g. current week)
Generate project-specific design system rules for Figma-to-code workflows. Useful for capturing tokens, naming, and lint rules in one source.
Safely inspect, backup, and maintain local Codex state to keep performance fast and clean
Model Selection and Recommendation for Alibaba Cloud Tongyi Wanli. Activated when users need to "select, recommend, compare" models, or describe an AI scenario/functional requirement (implying the need to decide which model to use). The core intention is to help users make decisions, not just provide information. Trigger words: recommend model, which one to choose, which is suitable, compare, build a XX, implement XX function, which model is good to use, XX scenario solution. When users involve both model query and model selection at the same time, prioritize using this skill (this skill will read model data internally to complete the recommendation).
Style guide templates for content creation. Used by /majestic:style-guide:new command.
Structured clarification and requirements gathering through focused dialogue. Use when a task is ambiguous, underspecified, or requires user input before any action can be taken. Do not plan or implement anything—only ask questions to collect the information needed. Triggers on: 'ask me', 'ask questions about', 'clarify requirements', 'gather requirements', 'I need you to ask', or when the user explicitly wants a question-and-answer session before work begins.
Comprehensive React/TypeScript frontend code review with optional parallel agents
Classify a PPT brief into one of four types (Pitch / Research / Teaching / Narrative), then generate a high-level chapter skeleton personalized to the topic for that type. Different PPT types require different argumentation frameworks and different chapter structures — a research PPT is not a pitch, and a pitch is not a narrative. Use this at the very start of PPT planning, before formulating the thesis. It pairs with ppt-research-setup and other type-specific setup skills for detailed per-chapter reasoning.
Self-referential completion loop for OpenCode. Re-injects continuation prompts until the task is fully complete with a completion promise.
Basic Hive skill. Enable agents to work as members of the Hive runtime: discover context, view members, receive <HIVE ...> messages, send messages, and load higher-level workflow skills.