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greenflash-onboard-agentic

Upgrade Greenflash SDK integrations to log structured agentic messages for tool calls and reasoning.

Updated Mar 25, 2026
Search Tags:#typescript#python#sdk#agentic#structured-logging#greenflash
One-click install
npx skills add https://github.com/greenflash-ai/agent-skills --skill greenflash-onboard-agentic
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: greenflash-onboard-agentic
Source: https://github.com/greenflash-ai/agent-skills/tree/main/skills/greenflash-onboard-agentic
Command: npx skills add https://github.com/greenflash-ai/agent-skills --skill greenflash-onboard-agentic

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Existing Greenflash integrations only capture plain messages, making it difficult to see detailed agentic actions such as tool calls, reasoning steps, and multi‑step chains.

Core Features & Use Cases

  • Introduces a rich set of message types (thought, tool_call, observation, chain_start, etc.) to give full visibility into agent workflows.
  • Separates user‑facing content from internal output so internal data is logged without affecting user experience.
  • Supports both batch and incremental submission patterns for Python and TypeScript SDKs, fitting into any existing Greenflash‑instrumented codebase.

Quick Start

Run the greenflash-onboard-agentic skill to enhance your existing integration with structured agentic message logging.

Frequently Asked Questions about greenflash-onboard-agentic

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I log structured agentic tool calls and reasoning steps in a Python SDK?▼

You can log structured agentic tool calls by upgrading an existing Greenflash SDK integration to emit rich message types including thought, tool_call, and observation for full workflow visibility.

What are structured agentic messages and when do I need them for agent workflows?▼

Structured agentic messages are typed logs such as chain_start or observation that capture detailed multi-step agent workflows, needed when plain messages lack sufficient visibility into reasoning and tool execution.

Can I use batch submission for structured agentic logging in TypeScript projects?▼

Yes, the Greenflash SDK supports both batch and incremental message submission patterns for structured agentic logging in TypeScript projects.

Do I need an existing Greenflash integration to add structured agentic logging?▼

Yes, you need an existing Greenflash integration because this upgrade applies to Python or TypeScript projects that already capture Greenflash events and require the Greenflash client library.

How do I separate internal agent output from user-facing content when logging agentic workflows?▼

You separate internal agent output from user-facing content by utilizing the structured agentic logging format, which splits user-facing content from internal output so internal data is logged without affecting user experience.

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