stock-data-skill
OpenClaw Skill for stock data analysis
Build and modify Knods visual AI workflows using the OpenClaw Gateway polling protocol. Use when Knods sends polling payloads with fields like messageId/message/history and responses must be streamed back as delta chunks with optional [KNODS_ACTION] JSON blocks in assistant text. Includes a packaged bridge runtime and installer for persistent polling.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install alesys/knodsInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Handle Knods chat turns that request new flows or edits on a visual canvas. Parse Knods polling payload messages, generate assistant text, and include [KNODS_ACTION]...[/KNODS_ACTION] blocks when the canvas should change.
message as the primary request.history for continuity.message describing node types and action rules.messageId to map all response chunks to the correct message.addNode for single-node additions.addFlow for multi-node workflows or any request requiring edges.[KNODS_ACTION]{"action":"addNode",...}[/KNODS_ACTION]
[KNODS_ACTION]{"action":"addFlow",...}[/KNODS_ACTION]
addFlow, ensure every edge source and target references an existing node id.Output node.Output or through appropriate input/output structure.input_1, image_1, output_1) so follow-up edits are easy./respond for the same messageId.{"messageId":"...","done":true} when complete.[KNODS_ACTION]...[/KNODS_ACTION] inline only when a canvas mutation is intended.These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# Knods
## Overview
Handle Knods chat turns that request new flows or edits on a visual canvas. Parse Knods polling payload messages, generate assistant text, and include `[KNODS_ACTION]...[/KNODS_ACTION]` blocks when the canvas should change.
## Workflow
1. Parse incoming payload fields.
- Treat `message` as the primary request.
- Use `history` for continuity.
- On first turn in a conversation, expect prepended context in `message` describing node types and action rules.
- Use `messageId` to map all response chunks to the correct message.
2. Choose whether to emit a canvas action block.
- Use `addNode` for single-node additions.
- Use `addFlow` for multi-node workflows or any request requiring edges.
- If the user only asks a question, respond with normal text and no action block.
3. Build strict action JSON.
- Wrap each action exactly as:
- `[KNODS_ACTION]{"action":"addNode",...}[/KNODS_ACTION]`
- `[KNODS_ACTION]{"action":"addFlow",...}[/KNODS_ACTION]`
- For `addFlow`, ensure every edge `source` and `target` references an existing node id.
- Always end flows with an `Output` node.
- Never connect two generator nodes directly; route through `Output` or through appropriate input/output structure.
- Use stable node IDs (for example `input_1`, `image_1`, `output_1`) so follow-up edits are easy.
- Avoid unknown keys in action JSON.
4. Stream response back to Knods.
- Send assistant text as delta chunks to `/respond` for the same `messageId`.
- Send `{"messageId":"...","done":true}` when complete.
- Keep first chunk quick to avoid timeout perception.
## Output Rules
- Return normal assistant text; do not wrap the full reply in a custom envelope.
- Include `[KNODS_ACTION]...[/KNODS_ACTION]` inline only when a canvas mutation is intended.
- Do not mention internal polling URLs/tokens in user-facing text.
- Keep action JSON valid and compact.
## Flow Design Heuristics
- Build the smallest flow that satisfies the request.
- Prefer node types listed in the fir...OpenClaw Skill for stock data analysis
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