Create a structured handoff document for seamless continuity across Claude conversations. Use when the user explicitly asks to create a handoff, handover, or session transfer document, or signals they want to stop now and continue this work in a future conversation. Trigger phrases include: "create a handoff"…
Use this skill when the user wants intellectual understanding — learning how or why something works, not getting a task done or soliciting Claude's judgment. Trigger for: Explicit learning requests: teach, explain, ELI5, walk me through, quiz me, flashcards, "I'm rusty on"; definitions ("what is X") Terse concept…
AI-powered presentation generation via the 2slides API — create slides from text, match a reference image style, summarize documents into decks, add AI voice narration, and export pages/audio. Use f.
A Swift-native MCP server for Microsoft Word (.docx) document manipulation. Provides 83 tools for reading, writing, and modifying Word documents without requiring Microsoft Word installation.
Use when the user wants to extract text from PDFs or images, manage OCR jobs, or work with output presets via the local Extracto OCR webapp. Talks HTTP to a running Extracto instance using the bundled extracto CLI.
Create modular, source-grounded Agent Skill packs from explicitly selected books or documents. Use when a user wants atomic skills, combo workflows, a router, references, a skill map, and validation derived from a specific source.
Full DeepRead API reference. All endpoints, auth, request/response formats, blueprints, webhooks, error handling, and code examples for OCR, structured extraction, form filling, and PII redaction.
AI-powered PDF form filling via DeepRead. Upload any PDF form + your data as JSON — AI detects fields, maps data semantically, fills the form with quality checks, returns a completed PDF. Works with scanned, non-editable forms — no AcroForm required.
Redact PII from documents before sharing or sending to LLMs. 14 PII types (names, SSN, credit cards, medical records, etc.) detected with context-aware AI — not regex. Knows patient vs. doctor, personal vs. institutional. Black bar redaction on PDFs, scanned images, and text files. Free tier: 2,000 pages/month.
This skill should be used when the user asks about "chunking strategies", "how to chunk a file", "semantic vs fixed chunking", "chunk size selection", "overlap settings", or needs guidance on selecting the appropriate chunking approach for RLM processing.
This skill should be used when the user asks to "process a large file", "analyze document exceeding context", "use RLM", "recursive language model workflow", "chunk and analyze a file", "handle long context", or needs to work with documents too large to fit in the context window. Orchestrates the full RLM loop using…
Turn document corpora (books, merged TXT, PDF/EPUB, OCR text) into structured agent knowledge: normalize → deterministic source segmentation → chapter maps with provenance → book skills → evaluation gates. Use when the user wants to convert books/materials into AI skills, build a knowledge base from a corpus, evaluate…
Compresión textual por eliminación / text compression by deletion. Acorta cualquier texto eliminando redundancias, repeticiones y prosa decorativa, preservando estructura, terminología, definiciones, citas, datos factuales y secuencia argumentativa. NO reescribe ni parafrasea. Usar cuando el usuario pida comprimir…
Build a concise, source-delimited context file from local UTF-8 requirements, code, notes, or documentation using DJAI Tools MCP. Use when preparing multiple local references for a coding agent, measuring prompt size, cleaning extracted text, or packaging sources with Markdown or XML boundaries.
Convert and clean local CSV or JSON datasets with DJAI Tools MCP. Use when trimming tabular values, removing empty or exact duplicate CSV rows, converting CSV to a JSON array, converting a flat JSON-object array to CSV, or validating local row and column counts.
Prepare local UTF-8 text or Markdown documents as cleaned, token-aware JSONL chunks using DJAI Tools MCP. Use when an agent must build RAG ingestion files, chunk extracted document text, or report chunk statistics while keeping source material local.