Back to Score and send job matches from public boards to Telegram with Claude
Card snapshot
n8n-workflow-20539.n8n.io
·
2026-10-09 14:28:44 UTC
·
f65e860edabdedc01e864ab297fa16eed6e8d2b2fbdf66d83179fafc2441ef63
This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.
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"name": "Development"
},
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 838,
"icon": "fa:mouse-pointer",
"name": "n8n-nodes-base.manualTrigger",
"codex": {
"data": {
"resources": {
"generic": [],
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.manualworkflowtrigger/"
}
]
},
"categories": [
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0"
}
},
"group": "[\"trigger\"]",
"defaults": {
"name": "When clicking \u2018Execute workflow\u2019",
"color": "#909298"
},
"iconData": {
"icon": "mouse-pointer",
"type": "icon"
},
"displayName": "Manual Trigger",
"typeVersion": 1,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 839,
"icon": "fa:clock",
"name": "n8n-nodes-base.scheduleTrigger",
"codex": {
"data": {
"alias": [
"Time",
"Scheduler",
"Polling",
"Cron",
"Interval"
],
"resources": {
"generic": [],
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger/"
}
]
},
"categories": [
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0"
}
},
"group": "[\"trigger\",\"schedule\"]",
"defaults": {
"name": "Schedule Trigger",
"color": "#31C49F"
},
"iconData": {
"icon": "clock",
"type": "icon"
},
"displayName": "Schedule Trigger",
"typeVersion": 1,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 844,
"icon": "fa:filter",
"name": "n8n-nodes-base.filter",
"codex": {
"data": {
"alias": [
"Router",
"Filter",
"Condition",
"Logic",
"Boolean",
"Branch"
],
"details": "The Filter node can be used to filter items based on a condition. If the condition is met, the item will be passed on to the next node. If the condition is not met, the item will be omitted. Conditions can be combined together by AND(meet all conditions), or OR(meet at least one condition).",
"resources": {
"generic": [],
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.filter/"
}
]
},
"categories": [
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Flow",
"Data Transformation"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Filter",
"color": "#229eff"
},
"iconData": {
"icon": "filter",
"type": "icon"
},
"displayName": "Filter",
"typeVersion": 2,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 1123,
"icon": "fa:link",
"name": "@n8n/n8n-nodes-langchain.chainLlm",
"codex": {
"data": {
"alias": [
"LangChain"
],
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainllm/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Chains",
"Root Nodes"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Basic LLM Chain",
"color": "#909298"
},
"iconData": {
"icon": "link",
"type": "icon"
},
"displayName": "Basic LLM Chain",
"typeVersion": 2,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1145,
"icon": "file:anthropic.svg",
"name": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"codex": {
"data": {
"alias": [
"claude",
"sonnet",
"opus"
],
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatanthropic/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Language Models",
"Root Nodes"
],
"Language Models": [
"Chat Models (Recommended)"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Anthropic Chat Model"
},
"iconData": {
"type": "file",
"fileBuffer": "data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI0NiIgaGVpZ2h0PSIzMiIgZmlsbD0ibm9uZSI+PHBhdGggZmlsbD0iIzdEN0Q4NyIgZD0iTTMyLjczIDBoLTYuOTQ1TDM4LjQ1IDMyaDYuOTQ1ek0xMi42NjUgMCAwIDMyaDcuMDgybDIuNTktNi43MmgxMy4yNWwyLjU5IDYuNzJoNy4wODJMMTkuOTI5IDB6bS0uNzAyIDE5LjMzNyA0LjMzNC0xMS4yNDYgNC4zMzQgMTEuMjQ2eiIvPjwvc3ZnPg=="
},
"displayName": "Anthropic Chat Model",
"typeVersion": 2,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1179,
"icon": "fa:code",
"name": "@n8n/n8n-nodes-langchain.outputParserStructured",
"codex": {
"data": {
"alias": [
"json",
"zod"
],
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.outputparserstructured/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Output Parsers"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Structured Output Parser"
},
"iconData": {
"icon": "code",
"type": "icon"
},
"displayName": "Structured Output Parser",
"typeVersion": 1,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1237,
"icon": "file:limit.svg",
"name": "n8n-nodes-base.limit",
"codex": {
"data": {
"alias": [
"Limit",
"Remove",
"Slice",
"Transform",
"Array",
"List",
"Item"
],
"details": "",
"resources": {
"generic": [],
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.limit/"
}
]
},
"categories": [
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Data Transformation"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Limit"
},
"iconData": {
"type": "file",
"fileBuffer": "data:image/svg+xml;base64,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"
},
"displayName": "Limit",
"typeVersion": 1,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 1238,
"icon": "file:removeDuplicates.svg",
"name": "n8n-nodes-base.removeDuplicates",
"codex": {
"data": {
"alias": [
"Dedupe",
"Deduplicate",
"Duplicates",
"Remove",
"Unique",
"Transform",
"Array",
"List",
"Item"
],
"details": "",
"resources": {
"generic": [],
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.removeduplicates/"
}
]
},
"categories": [
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Data Transformation"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Remove Duplicates"
},
"iconData": {
"type": "file",
"fileBuffer": "data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI1MTIiIGhlaWdodD0iNTEyIiBmaWxsPSJub25lIj48ZyBmaWxsPSIjNTRCOEM5IiBjbGlwLXBhdGg9InVybCgjYSkiPjxwYXRoIGQ9Ik0xMzQuMDk3IDExMWgzOC44Mjl2MzIuNTA4SDEzOC4xNnYzNC42MzVoLTMyLjUwOHYtMzguNjk5YzAtMTUuNzA5IDEyLjczNS0yOC40NDQgMjguNDQ1LTI4LjQ0NG03Ny42NTggMzIuNTA4VjExMWg3Ny42NTd2MzIuNTA4em0xMTYuNDg2IDBWMTExaDc3LjY1OHYzMi41MDh6bTExNi40ODcgMFYxMTFoMzguODI5YzE1LjcxIDAgMjguNDQ1IDEyLjczNSAyOC40NDUgMjguNDQ0djM4LjY5OWgtMzIuNTA4di0zNC42MzV6bTM0Ljc2NiA3My4yMzhoMzIuNTA4djM4LjY5OGMwIDE1LjcxLTEyLjczNSAyOC40NDUtMjguNDQ1IDI4LjQ0NWgtMzguODI5di0zMi41MDhoMzQuNzY2ek0wIDI0NC41MzdDMCAyMjkuMzI5IDEyLjczNSAyMTcgMjguNDQ0IDIxN2gzNDkuNDYxYzE1LjcwOSAwIDI4LjQ0NCAxMi4zMjkgMjguNDQ0IDI3LjUzN3YxMjkuODE1YzAgMTUuMjA4LTEyLjczNSAyNy41MzctMjguNDQ0IDI3LjUzN0gyOC40NDVDMTIuNzM0IDQwMS44ODkgMCAzODkuNTYgMCAzNzQuMzUyeiIvPjwvZz48ZGVmcz48Y2xpcFBhdGggaWQ9ImEiPjxwYXRoIGZpbGw9IiNmZmYiIGQ9Ik0wIDBoNTEydjUxMkgweiIvPjwvY2xpcFBhdGg+PC9kZWZzPjwvc3ZnPg=="
},
"displayName": "Remove Duplicates",
"typeVersion": 2,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
}
]
}
]
},
"detail": {
"description": "Quick overview This workflow checks public job postings from Ashby, Greenhouse, and Lever boards plus Jobicy and Himalayas feeds, filters and deduplicates them, scores each new role against your profile with Anthropic Claude, and sends qualifying matches (or unjudged fallbacks) to Telegram. How it works 1. Runs daily at 09:00 (and can be run manually) and loads your settings like target region, profile, keywords, and Telegram chat ID. 2. Fetches job listings from your configured company boards (Ashby, Greenhouse, Lever) and optionally searches Jobicy and Himalayas for the configured keywords. 3. Normalizes all postings into a common format, merges sources, and removes duplicates so each opening is only processed once. 4. Applies low-cost filters for allowed region, matching role titles, and non-junior roles, then keeps only jobs not seen in previous executions and caps the number processed per run. 5. Uses Anthropic Claude (via the LangChain LLM chain) to return a structured verdict (fit, 1\u201310 score, and a one-line reason) based on your profile, while keeping jobs as \u201cunjudged\u201d if the LLM call fails. 6. Sends a run summary to Telegram and then sends one Telegram message per job that meets the minimum score threshold (or could not be judged), including required \u201cvia\u201d attribution links for Jobicy and Himalayas items. Setup 1. Add an Anthropic API credential for the Claude model and a Telegram bot credential for sending messages. 2. Set your Telegram chat ID, profile text (including hard requirements), minimum score, max-per-run limit, and allowed region in the \u201cConfigure me\u201d step. 3. Populate the company boards list (company, ATS, slug) and/or enable aggregators with keywords for Jobicy/Himalayas, then run once manually to validate settings before activating the daily schedule. Requirements - Anthropic API key - Telegram bot token (from @BotFather) and your chat ID Customization - Add a company: one line in \"Configure me\" with its name, ATS (ashby, greenhouse or lever) and board slug - Other roles: edit the role filter pattern and the feed keywords - Feeds only: empty the company list. Companies only: set useAggregators to false - Swap Telegram for Slack or email, or Claude for another chat model"
}
}