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fiftyone-sdk-guidance

Skill

Answers FiftyOne Python SDK questions with accurate, runnable code. Use when the user asks how to do something in the FiftyOne Python SDK, asks a docs question, no skill or operator covers their goal, or the agent is unsure of the correct FiftyOne method, argument, or field path while writing code —

0Machine Learning

Install

git clone https://github.com/voxel51/fiftyone-skills.git ~/.claude/skills/fiftyone-sdk-guidance

What is fiftyone-sdk-guidance?

Answers FiftyOne Python SDK questions with accurate, runnable code. Use when the user asks how to do something in the FiftyOne Python SDK, asks a docs question, no skill or operator covers their goal, or the agent is unsure of the correct FiftyOne method, argument, or field path while writing code — e.g. "how do I do X in Python", "show me the SDK for filtering", "there's no operator for this, can I do it in code", "what's the API for embeddings", "write me a Python script to do Y".

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~122 tokens of context used while enabled, before you invoke anything

Documentation

README · ~9 min read

FiftyOne SDK Guidance

Answers FiftyOne SDK and docs questions by searching live documentation and returning accurate, runnable Python code. Covers two scenarios: direct SDK questions and fallback guidance when no operator or skill exists for the user's goal.

Key Directives

ALWAYS follow these rules, no exceptions:

1. Always search docs first; never answer from training knowledge alone

search_fifty_one_knowledge_sources(query="How do I <user goal> in the FiftyOne Python SDK?")

FiftyOne's API changes frequently. Training knowledge may be outdated. Call search_fifty_one_knowledge_sources (the fiftyone-docs MCP tool) for every FiftyOne-specific question before answering. If it isn't available, see Directive 6 for the fallback order.

The query must be a complete natural-language sentence, not keywords. This tool does semantic retrieval, not keyword search; its own schema requires "a single, well-formed natural-language query" that "must be a complete sentence." query="filter confidence Python" retrieves worse matches than query="How do I filter detections by confidence threshold in the FiftyOne Python SDK?".

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