nvim-doctor
claudeDiagnose and fix your Neovim configuration issues with AI-powered analysis. Like 'brew doctor' for your Neovim setup.
3 skills · 1 command · 3 agents
A Claude Code plugin for creating comprehensive self-learning resources. Automates the entire workflow from project scaffolding to document generation.
Plugin dokhak from marketplace bityoungjae-marketplace in BitYoungjae/marketplace. Commands read from the repo's manifest — 1 month ago.
domain-profilesDomain-specific configuration profiles for learning resource creation. Defines search strategies, special fields, terminology policies, and content structures for different academic domains: technology, history, science, arts, and general. Use when researcher or writer agents need domain-adapted beh
project-interviewResources for conversational interviews to create learner profiles. Used by project-interviewer agent during /init.
project-scaffolderCreates plan.md, task.md, persona.md, project-context.md, and CLAUDE.md for new self-learning resource projects. Use when: (1) /init command is invoked, (2) setting up a new tutorial/guide/documentation project, (3) structure-designer agent needs templates for learning resource structure design. Pro
research-storageResearch file storage conventions and templates for dokhak agents. Use when: (1) saving research results from research-collector or researcher agents, (2) reading cached research files, (3) checking if research exists for a section. Provides directory structure, file format templates, and naming con
/dokhak:continueContinue writing multiple sections. Uses researcher->writer->reviewer pipeline for each section. Supports domain-adaptive content generation (technology, history, science, arts, general).
/dokhak:doctorDiagnose project structure health and interactively fix issues. Checks required files, cross-file consistency, and completion status sync.
/dokhak:initInitialize a new learning resource project through interactive interview. Creates plan.md, task.md, persona.md, project-context.md, interview-data.md, and CLAUDE.md. Supports multiple domains: technology, history, science, arts, and general.
/dokhak:statusShow project progress and statistics. Displays completion percentage, Part/Chapter breakdown, and next pending tasks.
/dokhak:writeWrite the next document section using researcher->writer->reviewer pipeline. Identifies next incomplete task, gathers research, writes document, and reviews quality. Supports domain-adaptive content generation (technology, history, science, arts, general).
project-interviewerConducts conversational interviews to create learner profiles. Use PROACTIVELY when /init is invoked. Outputs persona.md, interview-data.md and returns project metadata.
research-collectorCollects and structures web research results for learning resource projects. Use proactively when: gathering official documentation URLs, finding learning paths/roadmaps, collecting core concepts for a topic, or starting a new self-learning project. Adapts search strategy based on domain (technology
researcherGathers and synthesizes information for learning document writing. Use PROACTIVELY when /write or /continue identifies next section to write. Adapts search strategy based on domain (technology, history, science, arts, general). Returns confirmation message only.
reviewerReviews written document for quality and consistency. Use PROACTIVELY when writer completes a document section. Checks page count, writer identity alignment, adjacent section coherence, code policy, and terminology. Returns structured XML feedback with domain-adaptive criteria.
structure-designerDesigns learning resource structure (Part/Chapter/Section hierarchy) and creates plan.md/task.md files. Use when: creating plan.md structure, allocating pages per section, designing curriculum flow, or setting up session-based task distribution. Automatically loads project-scaffolder skill for templ
writerWrites learning documents based on research results and project context. Use PROACTIVELY when research has been gathered and document needs to be written. Adapts writing style based on domain. Writes files directly, returns only completion summary.
Diagnose and fix your Neovim configuration issues with AI-powered analysis. Like 'brew doctor' for your Neovim setup.
3 skills · 1 command · 3 agents
Skills for writing visual content in Obsidian using code blocks. Formulas (LaTeX), graphs (Desmos), diagrams (Mermaid, TikZ), and more.
4 skills · 1 command · 1 agent
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4 commands
Skills for creating and managing themes in Omarchy, a Hyprland-based Linux desktop environment.
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Neural trading strategies — self-learning LSTM/Transformer/N-BEATS models with Rust/NAPI backtesting
9 skills · 1 command · 4 agents
Generate natively editable PPTX from PDF / DOCX / URL / Markdown — real DrawingML shapes, text boxes, charts, and animations. Note: run `pip install -r requirements.txt` inside the installed plugin directory for the Python post-processing scripts to work.
1 skill
Up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your coding agent's context.
1 MCP server
AI memory system — mine projects and conversations into a searchable palace. 47 MCP tools, auto-save hooks, guided setup.
3 skills · 6 commands · 1 MCP server · hooks
Install the "AAS Documents & Presentations" workflow plugin from Agentic Awesome Skills.
7 skills
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