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.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install alesys/knodsExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
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.Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# 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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