Search and analyze past chat session logs using jq commands.
npx skills add https://github.com/deepgram/dglabs-deepclaw --skill session-logs-deepgram
Please help me install this Agent Skill. Skill: session-logs Source: https://github.com/deepgram/dglabs-deepclaw/tree/main/skills/session-logs Command: npx skills add https://github.com/deepgram/dglabs-deepclaw --skill session-logs-deepgram
This Skill helps you quickly search and analyze your conversation history using efficient tools like jq, allowing you to access and review older conversations with ease.
To search for the keyword 'meeting' in your conversation history, use the session-logs skill search 'meeting'.
High-intent search queries and answers about installing and using this skill.
You can search conversation history by running a command-line query like `session-logs skill search 'keyword'` to retrieve past messages. This approach uses rg and jq utilities to quickly find matching terms within your chat session logs.
The best way to analyze past chat session logs is using jq commands to extract specific information and gain detailed insights. This allows you to review historical conversation transcripts for specific events within ongoing dialogues.
Yes, you need both jq and rg utilities installed on your system to use this data retrieval functionality. These command-line tools are required dependencies for searching and extracting information from your chat history.
Yes, you can retrieve all interactions with a specific user from your chat history by utilizing jq for data extraction. This search functionality allows you to filter conversation transcripts based on user or topic.
Jq tooling works for chat analysis by parsing and filtering structured JSON data from conversation history files to extract specific messages. It enables precise data retrieval for keyword or date-based queries within your transcripts.
zkcpkuSearch and analyze past conversation logs in JSONL files using jq and rg.
winsorllcAggregate conversation history, file operations, and token usage into unified session summaries.
the-open-agentSearch, filter, and analyze stored chat session logs in JSONL files.
m19cAnalyze MLflow chat sessions to identify input/output schemas and trace conversation issues.
