By pixeltable
Build and manage multimodal AI data pipelines with Pixeltable using declarative tables, computed columns for AI inference, embedding search, and tool-calling agents, integrating with over 25 AI providers.
Designs Pixeltable schemas — tables, views/iterators, computed-column chains, embedding indexes, and UDFs — for multimodal and ML data pipelines. Use when the user needs to model a data/AI workflow or decide between a view, a computed column, and a UDF.
Diagnoses and fixes failing or stale Pixeltable pipelines — errored computed columns, no-op recomputes, retrieval problems, rate limits, and deprecated-API misuse. Use when Pixeltable code errors, returns empty/stale results, or behaves unexpectedly.
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Modifies files
Hook triggers on file write and edit operations
Uses power tools
Uses Bash, Write, or Edit tools
Modifies files
Hook triggers on file write and edit operations
Uses power tools
Uses Bash, Write, or Edit tools
Agent Skill that teaches AI coding assistants to write correct Pixeltable code — declarative tables that replace LangChain + pandas + vector databases with one system. Covers 25+ AI providers, multimodal pipelines, tool-calling agents, RAG, and production patterns.
Which path? Use npx plugins add for the full plugin (skill + agents + slash commands) on Claude Code and Cursor. Use npx skills add to install just the skill content across 40+ agents (Copilot, Windsurf, Gemini, etc.) or in CI. Both work; they're complementary.
npx plugins add pixeltable/pixeltable-skill
npx skills add pixeltable/pixeltable-skill
/plugin marketplace add pixeltable/pixeltable-skill
/plugin install pixeltable@pixeltable-skill
codex plugin marketplace add pixeltable/pixeltable-skill --ref main
codex plugin add pixeltable@pixeltable-skill
skills/pixeltable-skill/ # The skill (content core)
├── SKILL.md # Core: negative prompts, task router, API, agents, pitfalls
└── references/ # Loaded on demand by Claude Code / Cursor
├── core-api.md # Tables, querying, views, UDFs, config, data sharing
├── cli.md # pxt CLI — inspect, debug, serve, deploy
├── providers.md # 25+ AI providers with quick-reference table
├── workflows.md # RAG, video, image, audio, FastAPI, export
├── video-rag-agents.md # Video + transcript search + agent
├── agents-memory-mcp.md # Agent with memory, MCP, multi-provider
├── ml-data-pipeline.md # Ingest, enrich, version, PyTorch export
├── agentic-patterns.md # 6 patterns + 2 reasoning strategies
└── anti-patterns.md # 15 training-distribution biases with wrong/right code
commands/ # Slash commands: /pixeltable:scaffold, add-provider
agents/ # Specialists: pipeline-architect, debugger
hooks/ # Optional pure-Python hooks (Claude Code): orientation + anti-pattern validation
The plugin install (npx plugins add) bundles the skill, commands, agents, and hooks. The skill install (npx skills add) delivers just the skill content. Hooks run on Claude Code; Cursor honors session-start context only.
See CONTRIBUTING.md. The skill content lives in skills/pixeltable-skill/; run python3 scripts/validate_plugin.py after structural changes.
uvx pixeltable-new myapp (pixeltable-new)uvx pixeltable-new --template <name> my-app — knowledge-base, chat-agent, audio-transcription, video-search, media-indexing, image-dataset, full-stack-showcase--template video-search → uv sync → python schema.py → pxt serve videointel (see /pixeltable:scaffold)Apache 2.0
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