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Skill for the Aggregators area of tone. 161 symbols across 28 files.
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Baseado na classificação ocupacional SOC
Use this skill when the user asks to "review my changes", "code review", "review before commit", "/code-review", or wants SOLID, security, performance, accessibility, or error handling analysis on current git changes. Accepts an optional base branch argument (defaults to main).
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Generates a new Playwright e2e spec file by reading a page component's source code, then runs it. Use when a page has NO existing spec file and you need to create one from scratch.
Skill for the Test-cases area of tone. 250 symbols across 60 files.
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Creates a new shared UI component using shadcn/ui with the project's theme. Handles shadcn setup verification, theme token mapping, and generates production-ready components following project conventions.
| name | aggregators |
| description | Skill for the Aggregators area of tone. 161 symbols across 28 files. |
161 symbols | 28 files | Cohesion: 61%
pipecat/| File | Symbols |
|---|---|
pipecat/src/pipecat/processors/aggregators/llm_response.py | LLMUserAggregatorParams, LLMAssistantAggregatorParams, init, LLMAssistantContextAggregator, process_frame (+44) |
pipecat/src/pipecat/processors/aggregators/llm_response_universal.py | LLMAssistantAggregatorParams, LLMContextAggregator, init, LLMUserAggregator, _get_context_frame (+41) |
pipecat/src/pipecat/processors/aggregators/llm_context.py | from_openai_context, create_audio_message, add_message, add_audio_frames_message, add_image_frame_message (+3) |
pipecat/src/pipecat/processors/aggregators/openai_llm_context.py | get_llm_adapter, set_llm_adapter, to_standard_messages, get_messages_for_persistent_storage, from_messages (+2) |
pipecat/src/pipecat/frames/frames.py | LLMMessagesUpdateFrame, OpenAILLMContextAssistantTimestampFrame, LLMMessagesFrame, EmulateUserStartedSpeakingFrame, EmulateUserStoppedSpeakingFrame (+2) |
pipecat/src/pipecat/services/anthropic/llm.py | AnthropicContextAggregatorPair, create_context_aggregator, from_openai_context, AnthropicAssistantContextAggregator, get_messages_for_persistent_storage (+1) |
pipecat/src/pipecat/services/aws/llm.py | AWSBedrockContextAggregatorPair, from_openai_context, AWSBedrockAssistantContextAggregator, create_context_aggregator, get_messages_for_persistent_storage (+1) |
pipecat/tests/test_context_aggregators_universal.py | test_llm_run, test_llm_messages_append_run, test_llm_messages_update, test_llm_messages_update_run |
pipecat/src/pipecat/services/openai/llm.py | OpenAIContextAggregatorPair, create_context_aggregator, handle_function_call_in_progress |
pipecat/src/pipecat/services/aws/nova_sonic/context.py | get_messages_for_persistent_storage, flush_aggregated_user_text, flush_aggregated_assistant_text |
Start here when exploring this area:
create_context_aggregator (Function) — pipecat/src/pipecat/services/llm_service.py:226create_context_aggregator (Function) — pipecat/src/pipecat/services/ultravox/llm.py:528create_context_aggregator (Function) — pipecat/src/pipecat/services/openai_realtime_beta/openai.py:770create_context_aggregator (Function) — pipecat/src/pipecat/services/openai/llm.py:88create_context_aggregator (Function) — pipecat/src/pipecat/services/grok/llm.py:183| Symbol | Type | File | Line |
|---|---|---|---|
OpenAIContextAggregatorPair | Class | pipecat/src/pipecat/services/openai/llm.py | 29 |
GrokContextAggregatorPair | Class | pipecat/src/pipecat/services/grok/llm.py | 32 |
GoogleContextAggregatorPair | Class | pipecat/src/pipecat/services/google/llm.py | 219 |
AnthropicContextAggregatorPair | Class | pipecat/src/pipecat/services/anthropic/llm.py | 72 |
AnthropicAssistantContextAggregator | Class | pipecat/src/pipecat/services/anthropic/llm.py | 1094 |
AWSBedrockContextAggregatorPair | Class | pipecat/src/pipecat/services/aws/llm.py | 74 |
AWSBedrockAssistantContextAggregator | Class | pipecat/src/pipecat/services/aws/llm.py | 617 |
LLMUserAggregatorParams | Class | pipecat/src/pipecat/processors/aggregators/llm_response.py | 66 |
LLMAssistantAggregatorParams | Class | pipecat/src/pipecat/processors/aggregators/llm_response.py | 91 |
LLMAssistantContextAggregator | Class | pipecat/src/pipecat/processors/aggregators/llm_response.py | 781 |
LLMMessagesUpdateFrame | Class | pipecat/src/pipecat/frames/frames.py | 809 |
UserResponseAggregator | Class | pipecat/src/pipecat/processors/aggregators/user_response.py | 18 |
LLMAssistantAggregatorParams | Class | pipecat/src/pipecat/processors/aggregators/llm_response_universal.py | 96 |
LLMContextAggregator | Class | pipecat/src/pipecat/processors/aggregators/llm_response_universal.py | 162 |
LLMUserAggregator | Class | pipecat/src/pipecat/processors/aggregators/llm_response_universal.py | 282 |
OpenAILLMContextAssistantTimestampFrame | Class | pipecat/src/pipecat/frames/frames.py | 489 |
LLMMessagesFrame | Class | pipecat/src/pipecat/frames/frames.py | 744 |
EmulateUserStartedSpeakingFrame | Class | pipecat/src/pipecat/frames/frames.py | 1206 |
EmulateUserStoppedSpeakingFrame | Class | pipecat/src/pipecat/frames/frames.py | 1231 |
AnthropicUserContextAggregator | Class | pipecat/src/pipecat/services/anthropic/llm.py | 1068 |
| Flow | Type | Steps |
|---|---|---|
Process_frame → Append_text | cross_community | 6 |
Process_frame → Should_interrupt | cross_community | 6 |
Process_frame → _check_started | cross_community | 6 |
Process_frame → Add_message | cross_community | 6 |
Process_frame → InterruptionTaskFrame | cross_community | 5 |
Process_frame → Reset | cross_community | 5 |
Process_frame → OpenAILLMContextFrame | cross_community | 5 |
Process_frame → _run_handler | cross_community | 4 |
Process_frame → Create_task | cross_community | 4 |
Process_frame → Get_time | cross_community | 4 |
| Area | Connections |
|---|---|
| Foundational | 32 calls |
| Openai_realtime_beta | 11 calls |
| Daily | 6 calls |
| Tests | 5 calls |
| Whisper | 4 calls |
| Processors | 3 calls |
| Cartesia | 3 calls |
| Smallwebrtc | 2 calls |
gitnexus_context({name: "create_context_aggregator"}) — see callers and calleesgitnexus_query({query: "aggregators"}) — find related execution flows