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Add Skill: research-pipeline

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Extracted from: https://github.com/temiroff/Blacknode.git
Score: 1.0
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Hermes Pipeline
2026-08-05 15:45:47 +00:00
parent 5f917f4121
commit f4f0328c43
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skills/research-pipeline/metadata.json
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{
"name": "research-pipeline",
"version": "1.0.0",
"goal": "Fetch a Wikipedia page, summarise its content using an AI agent, and write the summary to a file.",
"goal": "Fetch a Wikipedia page, summarise it using an AI agent, and write the summary to a file.",
"inputs": [
"URL of the Wikipedia page"
],
"steps": [
"Step 1: Import necessary modules from `_bootstrap` and `blacknode`: Run `from _bootstrap import NIM_MODEL, require_nim_api_key; import blacknode as bn`",
"Step 2: Require NVIDIA NIM API key: Call `require_nim_api_key()` to ensure the API key is set.",
"Step 3: Create a graph instance: Initialize `g = bn.Graph()`.",
"Step 4: Add nodes for URL, HTTPGet, summarisation, and file writing: `url = g.node('Literal', value='URL of the Wikipedia page'); fetcher = g.node('HTTPGet'); summarise = g.node('LLMAgent', system='You are a technical writer. Summarise the text in 3 bullet points.', model=NIM_MODEL); writer = g.node('FileWrite', path='summary.txt')`",
"Step 5: Connect nodes with edges: `url.out('value') >> fetcher.inp('url'); fetcher.out('text') >> summarise.inp('prompt'); summarise.out('text') >> writer.inp('text')`",
"Step 6: Cook the graph to execute and get output: `result = g.cook(writer, 'path'); print(f'Summary written to: {result}')`"
"Step 1: Import necessary modules from _bootstrap (NIM_MODEL, require_nim_api_key) and blacknode",
"Step 2: Require NVIDIA NIM API key using `require_nim_api_key()`",
"Step 3: Create a Graph instance `g`",
"Step 4: Add a Literal node for the URL of the Wikipedia page (`url`)",
"Step 5: Add an HTTPGet node to fetch the content from the URL (`fetcher`) and connect it to the Literal node",
"Step 6: Add an LLMAgent node with system prompt 'You are a technical writer. Summarise the text in 3 bullet points.' and model NIM_MODEL (`summarise`), connecting its input to the output of `fetcher`",
"Step 7: Add a FileWrite node to write the summary to a file named 'summary.txt' (`writer`), connecting its input to the output of `summarise`",
"Step 8: Cook the graph starting from the writer node and print the path where the summary is written"
],
"outputs": [
"Path of the summary file"
"Path to the summary file"
],
"failure_modes": [
"If the URL is invalid or unreachable, the HTTPGet node will fail; if the summarisation fails, the output text might be empty"
"If the URL is invalid, HTTPGet will fail; if NIM API key is missing, LLMAgent will not function properly"
],
"confidence": 0.95,
"explanation": "This workflow can be adapted to fetch and summarise any Wikipedia page or similar content source.",
"explanation": "This workflow can be adapted to fetch and summarise any text from a URL using an AI agent and save the summary to a file.",
"source_repo": "https://github.com/temiroff/Blacknode.git",
"score": 1.0
}