Document foundational pipecat code, examples, and internal APIs for developers.
npx skills add https://github.com/tonehq/tone --skill foundational
Please help me install this Agent Skill. Skill: foundational Source: https://github.com/tonehq/tone/tree/main/.claude/skills/generated/foundational Command: npx skills add https://github.com/tonehq/tone --skill foundational
Foundational knowledge about tone's pipecat core pipelines, tests, and examples is scattered across codebases; this Skill consolidates it for faster onboarding.
Start by reviewing the key files listed in the Skill body, such as pipecat/tests/test_pipeline.py and pipecat/examples/foundational/, to begin hands-on exploration.
High-intent search queries and answers about installing and using this skill.
To navigate tone's pipecat foundational codebase, review consolidated key files such as pipecat/tests/test_pipeline.py and pipecat/examples/foundational/*.py. This provides quick access to core modules, entry points, and symbols for hands-on exploration.
The best way to find example LLM usage is by exploring the pipecat/examples/foundational/ directory. This area highlights foundational examples and key functions like create_llm_service and get_llm_for_agent for immediate hands-on testing.
Locate entry points and symbol mappings for pipecat test pipelines by checking the Skill's listed key files. It maps core classes and functions, such as test_pipeline_start_metadata, guiding direct navigation to foundational tests.
Yes, this foundational documentation covers pipecat test pipeline metadata. It specifically references core modules like test_pipeline_start_metadata and test_pipeline.py to satisfy knowledge capture for developers exploring test pipelines.
You need to review the foundational examples in the tone codebase when onboarding onto pipecat core pipelines. It consolidates scattered knowledge about internal APIs, tests, and LLM examples into a single navigation guide.
omerakbenConfigure and validate environment variables across development, staging, and production.
tonehqInspect and compare LLM context aggregator implementations across OpenAI, Anthropic, and AWS.
tonehqMap Tone frameworks integration points across pipecat and core services.
tonehqExplore Tone's pipeline architecture for task creation, execution, and observer monitoring.
