Implement comprehensive error handling for Python code paths to keep services resilient and user-friendly. Use when failures are currently silent or exceptions leak through.
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Invoke connected Unique spaces/subagents through the unique-cli subagent command. Use when the workspace exposes connected-space tools and you need to delegate a question or task to one of those configured assistants.
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See how to installReview the instructions the agent will receive before you install.
Use this skill to call a connected Unique space as a tool. Each connected
space is configured by the platform in .unique-subagents.json; call it by
the tool name shown in the generated connected-space skill.
unique-cli subagent "<tool_name>" "<message>" \
--chat-id "$UNIQUE_CHAT_ID" \
--assistant-id "$UNIQUE_ASSISTANT_ID"
Omit --message-id: the CLI resolves the current turn's assistant message ID
from $UNIQUE_TURN_IDENTITY_FILE automatically.
.unique-subagents.json.| Option | Default | Description |
|---|---|---|
<tool_name> | required | Name of the configured connected-space tool. |
<message> | required | Prompt sent to the connected space. |
--reset-chat | off | Start from a fresh subagent chat instead of reusing the saved chat. |
--json | off | Print the raw response JSON. |
--config | .unique-subagents.json | Override the config path. |
The platform sets these environment variables automatically:
UNIQUE_USER_ID
UNIQUE_COMPANY_ID
UNIQUE_CHAT_ID
UNIQUE_TURN_IDENTITY_FILE
UNIQUE_ASSISTANT_ID
UNIQUE_API_KEY
UNIQUE_APP_ID
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Implement comprehensive error handling for Python code paths to keep services resilient and user-friendly. Use when failures are currently silent or exceptions leak through.
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Tabular and numerical data analysis with descriptive statistics and insights. Use when the user provides data, tables, CSVs, or numbers and wants analysis.
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Financial factsheet analysis with key metrics extraction and investment rationale
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Diagnose and fix CI failures without leaving your editor.
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Ask clarifying questions before implementing to ensure Python requirements are understood. Use when a task lacks detail, dependencies are unclear, or multiple interpretations are possible.
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