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Lisez SKILL.md et les fichiers associés affichés par SkillsMP avant de décider de l'installer.
Basé sur la classification professionnelle SOC
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
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npx skills add https://github.com/binary16labs/prime-silo --skill data-processingLa commande reste sur une seule ligne. Faites défiler horizontalement pour la vérifier avant de la copier.
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Affichage de SKILL.md
Be the operator's grounded co-pilot inside the Bridge cockpit (#/_prime_silo/bridge). Load this when the user is on the Bridge and asks "what am I looking at", "explain this graph", "what did I work on", "ingest these docs", "re-run the last manifest", or any question about the mesh on screen — memory, documents, code graph, flows, or runs.
Build animejs.com-grade scroll-driven kinetic pages with the vendored anime.js v4 bundle (website/vendor/anime.esm.min.js). Use when working on the prime-silo marketing site (website/) or any scrollytelling/animation surface. Contains the VERIFIED v4 API, the design language to emulate, the Prime-Silo set-piece specs, and the verification protocol.
Operate the Prime-Silo delivery board (delivery/) autonomously — select, claim, execute, verify, and log work contracts without frontier supervision. Use whenever picking up a task from delivery/board/BOARD.md, authoring a gate script, verifying another agent's task, or deciding which model tier should take which contract.
| name | data_processing |
| description | Extract data from PDFs and query CSV files |
Use this skill when analyzing tabular data (CSV) or unstructured PDF documents within the workspace. This gives you the ability to query dataframes via Pandas and extract raw text (including OCR fallback via PyMuPDF/Tesseract) from PDFs.
[!WARNING] While
extract_pdf_textis useful for quick, ad-hoc reads, do NOT use this to feed multi-agent swarms or complex analyses for files located in thestaging/directory. Those files must be formally ingested into the Knowledge Graph via arag_ingestpipeline first.
extract_pdf_text(pdf_path, workspace="default") - Extracts all text from a given PDF file in data_in. Supports fallback OCR.query_csv(csv_path, query, workspace="default") - Query a CSV file using Pandas. The query can be a standard string like "amount > 100" or a dataframe expression like "df.describe()".Action: query_csv
Action Input: {"csv_path": "financials.csv", "query": "df.head(5)"}
Observation: Returns the first 5 rows formatted as a markdown table.
Action: extract_pdf_text
Action Input: {"pdf_path": "architecture_diagram.pdf"}
Observation: Returns the text content extracted from the document.