Claude Skills by VectorSpaceLab

Configure and troubleshoot doccano auto-labeling templates and mappings.

Import and export doccano datasets with the right formats and validation.

Create projects, define labels, manage members, and annotate with doccano.

Install, initialize, run, package, and deploy doccano.

"Use Docling to convert, parse, configure, extract, chunk, serve,

"Configure Docling VLM, ASR, enrichment, model-catalog, optional

"Route Docling CLI work, construct safe local conversion commands,

"Use Docling's Python conversion API for local paths, URLs,

"Export DoclingDocument content to Markdown, JSON, YAML, HTML,

"Use Docling structured extraction with DocumentExtractor, VLM

"Configure Docling's standard PDF pipeline options, OCR engines,

"Use Docling through a remote docling-serve service: convert-remote

"Guide safe Docling repository edits across package layout, extras,

Routes DocsGPT deployment, source ingestion, retrieval, agent workflows, tools, integrations, and native or OpenAI-compatible API operations.

Guides DocsGPT agent types, prompts and sources, workflow graphs, shared state, CEL and templates, schedules, webhooks, seeding, and agent portability.

Guides DocsGPT native answer and attachment APIs, SSE and reconnect behavior, OpenAI-compatible clients, structured output, multimodal input, idempotency, and MCP routing.

Guides DocsGPT development, deployment, service topology, model configuration, authentication, storage, observability, and upgrades.

Guides DocsGPT file, audio, remote, and connector ingestion; parsing, chunking, worker queues, source configuration, status checks, and re-ingestion.

Guides DocsGPT embeddings, vector-store selection, per-source retrieval, classic and hybrid RAG, pre-screening, GraphRAG, and retrieval diagnosis.

Guides DocsGPT built-in and API tools, MCP, approvals, artifacts and code execution, sandbox backends, remote devices, widgets, and webhooks.

"Use python-doctr (docTR) for OCR/KIE inference, document

"Use docTR's installed OCR CLI and safe bundled helper scripts for

"Run docTR end-to-end OCR and KIE inference with predictor APIs,

"Use docTR datasets, label formats, safe dataset validation,

"Use docTR deployment templates, demo surfaces, contrib utilities,

"Load docTR inputs and interpret or export Document, Page, KIE,

"Use docTR standalone model factories, custom weights, vocabulary

"Use Donut for OCR-free document understanding, checkpoint

"Load Donut checkpoints, build prompts, run single-image inference,

"Generate synthetic OCR-free document datasets with SynthDoG,

Teach Donut fine-tuning, dataset layout, checkpoint handling, and evaluation.

"Route DoWhy causal inference, graphical causal model, and

"Operate DoWhy graph, pandas do-accessor, sampler, dataset,

"Operate DoWhy CausalModel potential-outcomes workflows for

"Operate DoWhy dowhy.gcm graphical causal model workflows for

"Use DPM-Solver and DPM-Solver++ single-file samplers for diffusion

"Use the DPM-Solver PyTorch and JAX single-file APIs directly:

"Plan and troubleshoot JAX DPM-Solver and ScoreSDE example

"Use DPM-Solver with latent Stable Diffusion workflows, including

"Plan and troubleshoot PyTorch DPM-Solver example workflows for

"Use and troubleshoot the Dream Textures Blender add-on for Stable

"Reason about Dream Textures backend API contracts,

"Operate Dream Textures prompt, image editing, ControlNet, history,

"Routes Dream Textures Blender scene workflows: texture projection,

"Install and diagnose Dream Textures add-on dependencies, model

"Use DreamCraft3D for image-conditioned 3D generation, staged

"Plan DreamCraft3D texture boosting with Zero123++ multiviews,

"Export DreamCraft3D meshes, inspect output directories, and plan

"Plan DreamCraft3D staged generation commands, configs, checkpoint

"Prepare and validate DreamCraft3D reference images, sidecar maps,