channel.io
Official@channel-io · Seoul
Channel.io - The all-in-one biz messenger
Agent Skills by channel.io
Showing 13 vetted skills indexed across 1 GitHub repositories.
channel-iosettings-task
Upload Task JSON files to the Channel ALF Task API to create or update tasks.
channel-iostage1-clustering
Cluster and tag customer support chats from Excel files into a Stage 2-ready report.
channel-iouserchat-to-sop-pipeline
Converts Excel-based customer support data into SOP documents and Mermaid flowcharts via a four-stage pipeline.
channel-iostage5-sop-to-guide
Generate an ALF deployment package from Stage 1–3 outputs.
channel-iostage4-flowchart-generation
Generate Mermaid flowcharts from SOP documents with Korean/Japanese language auto-detection.
channel-iorequest-api-key
Request a missing Upstage API key via Channel.io and write it to .env.
channel-iostage2-extraction
Extract patterns, FAQs, and response strategies from clustered customer support transcripts.
channel-iobot-analysis
Analyze Excel chat data to classify conversations as resolved or unresolved.
channel-iostage3-sop-generation
Generate RFC 2119-compliant Agent SOP documents from Stage 2 extraction results.
channel-iostage6-alf-document-export
Split rules_draft.md into rule files and expand rag_items.md into standalone RAG documents.
channel-iostage7-deployment-scenario
Generate deployment scenario documents and QA sets from pipeline outputs.
channel-ioevaluate-rag
Runs Playwright-based tests to score RAG responses and generate an evaluation report.
channel-ioevaluate-task
Validates Task JSON quality and computes deterministic pass/fail scores from ax-resources-defined criteria.
Frequently Asked Questions About channel.io
FAQPage SchemaWhat specific tasks can be performed using these capabilities?▼
These capabilities enable the conversion of Excel-based chat transcripts into structured SOP documents, the generation of Mermaid flowcharts, the validation of JSON task files, and the automated evaluation of RAG response quality using Playwright-based testing frameworks.
Which personas benefit most from these technical resources?▼
Customer support managers, operations engineers, and technical writers benefit from these resources. They are designed for teams needing to standardize support knowledge, generate deployment-ready documentation from chat history, and ensure high-quality task configuration for enterprise messaging platforms.
What are the prerequisites for running these document generation pipelines?▼
Users require access to Excel-based chat datasets, a valid Upstage key for processing, and an environment configured to support Playwright for RAG evaluation. The pipeline relies on specific stage-based outputs, requiring sequential execution from clustering through to final deployment export.