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Use when the input is an image, screenshot, diagram, PDF/DOCX, audio file, or YouTube link—extract metadata/text before reasoning.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Use when shell commands fail, npx/curl/git won't run, or you must choose run_shell vs web_fetch vs file tools in Nodebox vs host.
Use when the user says remember this, save a preference or API key, or you must pick memory_save vs session notes vs skill (action=manage) vs wiki_* tools.
Use when the user wants to discover, search, or install agent skills from online registries—top results by installs, stars, or votes. Or user sends /find_skills.
Use when calling REST or GraphQL APIs with web_fetch/web_post — auth headers, query params, GraphQL shape, Directus GraphQL mutations/relations, discovery order, and reading error bodies.
Use when the user or agent installs a skill from skills.sh or GitHub — map WebFetch, Bash, Python, Playwright, and MCP references to Web Agent built-ins.
Use when starting a new app, demo, spike, starter, or multi-file project—make_dir under projects/ or work/ before any writes.
| name | Multimodal Ingest |
| description | Use when the input is an image, screenshot, diagram, PDF/DOCX, audio file, or YouTube link—extract metadata/text before reasoning. |
| version | 1.1.0 |
| category | bundled |
| primary-tools | ["vision_analyze","image_info","audio_analyze","youtube_transcribe","pdf_extract","docx_extract"] |
| tags | ["vision","multimodal","ocr","youtube","transcript","image","pdf","docx"] |
| triggers | ["screenshot","image","diagram","ocr","what is in this image","youtube link","transcribe","video summary","pdf text","docx text","vision_analyze","youtube_transcribe","audio_analyze"] |
| Input | Tool |
|---|---|
| Image metadata / dimensions | image_info |
| Image / screenshot / diagram | vision_analyze with a focused question |
| YouTube / Shorts URL | youtube_transcribe |
| Workspace audio file | audio_analyze |
| Workspace PDF | pdf_extract |
| Workspace DOCX | docx_extract |
| Cross-check claims | web_search, web_fetch — open-web-research |
| Persist transcript / extract | write_file under work/<slug>/ |
| Show visual to user | artifact_present — artifact-delivery |
| Durable facts | memory_save — memory-layers |
Non-negotiable: Focused vision questions, not "describe everything". Long transcripts → file + present, not chat paste.
open-web-research. Present files: artifact-delivery. Facts: memory-layers.vision_analyze with a focused question, not "describe everything". Examples: "What error code is shown?", "List visible CLI flags", "Read the chart x-axis values".youtube_transcribe → grep / scan segments for the relevant span → summarize with timestamp citations ([mm:ss]). For long videos, transcribe once, then operate on the cached transcript text.pdf_extract / docx_extract before run_python; persist long extracted text under work/<slug>/.open-web-research (verify a name, date, or product before asserting).memory_save; long transcripts belong in work/<slug>/ then artifact-delivery — not inline.vision_analyze on the same image for variant questions — combine questions or cache the prior answer in session memory.