Explorar skills

This skill should be used when the user asks to "create a location", "add a location", "magic system", "political system", "build the world", "add culture", "world history", "technology system", "religion", "economy", or wants to develop any aspect of a story's world and setting.

This skill should be used when the user asks to "write a chapter", "next chapter", "chapter outline", "draft chapter", "continue the story", "write a scene", "outline a chapter", or wants to write prose for a story project.

This skill should be used when the user asks to "start a new story", "initialize a story project", "create a story", "new book", "set up a story", or wants to begin a new fiction writing project from scratch.

This skill should be used when the user asks to "create a plot arc", "story structure", "add a plot point", "story timeline", "track foreshadowing", "pacing", "act structure", "story arc", "plot outline", or wants to plan and manage the narrative structure of a story.

Guide users through setting up a personal LLM-maintained wiki — a persistent, compounding knowledge base where the LLM incrementally builds and maintains interlinked markdown pages from raw sources. Use this skill when the user wants to: set up a personal knowledge base, create a research wiki, organize notes with LLM help, build a "second brain", set up an Obsidian + LLM workflow, create a persis

Use whenever the user uploads a hand-written or scanned answer PDF to be graded against a reference solution. Converts answer PDFs in `answers/*.pdf` to markdown in `answers/converted/*.md` using the pdf skill (OCR as needed), then performs strategy-based grading against `converted/solutions/*.md` or `quizzes/*_answers.md`. Invoked by `/grade`.

Use whenever a hand-written or scanned answer PDF needs transcription to markdown for /grade. Three tiers — Claude native vision (default, no extra install), local Qwen3-VL 8B via ollama (opt-in privacy mode), pytesseract fallback. The engine is selected via `OCR_ENGINE` in `.course-meta` (written by /paideia:init-course) and can be overridden per-call with `/paideia:grade --ocr=<engine>`.

Use whenever the user works with PDF files — reading/extracting text from PDFs (lecture notes, textbook chapters, HW problems, HW solutions, hand-written answers), converting PDFs to markdown for downstream analysis, merging/splitting PDFs, or creating PDFs. For scanned or hand-written PDFs, OCR is required (pytesseract + pdf2image). Based on Anthropic's official PDF skill (github.com/anthropics/s

Convert a stakeholder summary markdown file into a single self-contained HTML executive report — bottom line and decision asks up front, supporting detail later — styled with a Test Double-derived palette and self-contained mermaid diagrams. Use when the user wants to turn a stakeholder summary, executive summary, or business summary into an HTML report, generate an HTML version of a summary doc,

Detecta 43 padrões de escrita de IA e reescreve textos em 5 perfis de voz. É ideal para conteúdo que soa como um chatbot, preparação para publicação, auditoria de prosa para sinais de IA ou edição de arquivos, fornecendo uma pontuação de 0-100 de sinais de IA sob demanda.

Explore ideias de inovação em pesquisa baseadas na literatura e enquadramento de artigos de forma neutra. Esta skill permite que um agente de IA colete artigos recentes, realize buscas de literatura amplas e profundas, decomponha métodos, gere novas ideias, selecione conceitos viáveis, projete estruturas unificadoras e produza relatórios Markdown elegantes para publicação.

Import knowledge from existing documents into structured KB entries. Reads source documents (Markdown, PDF, DOCX, plain text), extracts key information, and creates properly formatted KB entries with YAML frontmatter.