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Found 239 Skills
Orchestrates BMAD workflows for structured AI-driven development. Routes work across Analysis, Planning, Solutioning, and Implementation phases.
dontbesilent Content Structuring System. Build a sustainable, growing content structuring project from a large amount of local manuscripts, tweets, topic ideas, cases, and course scripts: first audit the scale and boundaries of the content, then create a new project, copy materials, extract content units, and generate topic maps and topic assembly drafts. Triggers: /dbs-content-system, /content-structuring-system, "turn my content into a structured system", "turn local materials into a reorganizable system", "help me build a content asset project", "I want to turn old content into reusable assets" Content structuring system. Audits local content volume, then builds a reusable content knowledge project with units, topic maps, and assembly drafts. Trigger: /dbs-content-system, "build a content structuring system", "turn my archive into reusable assets"
Analyze the extracted Xiaohongshu collected content, perform AI summarization, comparison, and refinement
Process raw meeting transcripts from Granola or other sources into structured notes with frontmatter, action items, summary, and formatted transcript. Use this skill when the user asks to process a meeting transcript or provides a raw transcript that needs formatting.
Create spatial node-based diagrams with free positioning. Best for mind maps, knowledge graphs, concept maps, and planning boards where precise spatial layout matters. Use JSON format with x/y coordinates. NOT for sequential flows (use mermaid) or data charts (use vega).
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.
Extract Xiaohongshu post content (text, images, video transcription), organize it into Markdown and save
Structured prompts, vault templates, and autonomous research workflows for AI-assisted genealogy using Claude Code.
Daily Review Assistant - An AI-assisted decision-making tool for cleaning up knowledge inboxes. The Agent provides "Keep/Delete" suggestions with reasons, and users manually execute after confirmation. Following the principle of "Collect without judging, make decisions during daily review", complete daily knowledge organization in 5-10 minutes. Triggers: /daily-review, /日清, /review
This skill should be used when the user asks to "set up agent todos", "initialize the todo store", "configure todos", "run todo init", "set up .agent-todos.local.json", or wants to set up or reconfigure the todo store for this project.
Karpathy's LLM Wiki: build/query interlinked markdown KB.
Use when users ask to capture conversation decisions, problems, and lessons into persistent notes (e.g. 'harvest', '/harvest', 'save this to second brain', 'document this work').