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CLI for Agentled — manage workflows, apps, and knowledge from the command line. Zero context-window cost for AI agents.

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{ "name": "Lead Scoring + KG Storage", "goal": "Score a batch of leads against ICP criteria and persist results to the Knowledge Graph.", "description": "Pattern 09 (KG-storage). Replace the scoring prompt, ICP criteria, and list keys for your workspace.", "status": "draft", "context": { "executionInputConfig": { "title": "Score Leads", "description": "Source list of leads to score.", "runCTALabel": "Run", "fields": [ { "name": "source_list_key", "label": "Source list key", "type": "text", "required": true }, { "name": "target_list_key", "label": "Target list (scored results)", "type": "text", "required": true } ] } }, "steps": [ { "id": "start", "type": "trigger", "name": "Manual Start", "pipelineStepStartConditions": { "trigger": { "type": "manual" } }, "next": { "stepId": "read-leads" } }, { "id": "read-leads", "type": "appAction", "name": "Read Leads", "app": { "id": "kg", "actionId": "kg.read-list", "source": "native" }, "stepInputData": { "listKey": "{{input.source_list_key}}", "limit": "500" }, "next": { "stepId": "score" } }, { "id": "score", "type": "aiAction", "name": "Score Lead", "loopConfig": { "source": "executionContent", "config": { "stepId": "read-leads", "field": "listEntries" }, "ItemAlias": "lead" }, "pipelineStepPrompt": { "template": "Score this lead against the ICP. Return a structured result.\n\nLead: {{lead}}\n\nReturn: fit_score (0-100), decision (one of: qualify, nurture, reject), reason (short).", "responseStructure": { "fit_score": "number (0-100)", "decision": "string (qualify | nurture | reject)", "reason": "string" } }, "creditCost": 8, "next": { "stepId": "sync-scores" } }, { "id": "sync-scores", "type": "knowledgeSync", "name": "Save Scores to KG", "entryConditions": { "onCriteriaFail": "wait", "conditionText": "Wait for all scoring calls to complete.", "criteria": [ { "type": "loop_completion", "stepId": "score", "operator": "==", "value": true } ] }, "knowledgeSync": { "source": { "stepId": "score", "resultsPath": "items" }, "listKey": "{{input.target_list_key}}", "fieldMapping": { "fit_score": "fit_score", "decision": "decision", "reason": "reason" } }, "next": { "stepId": "done" } }, { "id": "done", "type": "milestone", "name": "Done" } ] }