Can I save the analysis to a file?

Yes, by using the --output flag or selecting the 'Save to markdown' option in the interactive workflow, you can export findings directly to a file.

What is the difference between Quick and Full mode?

Quick mode uses grep for rapid keyword discovery and provides a brief summary, while Full mode uses iterative AI analysis for a deep-dive understanding of the entire session content.

Does this skill handle corrupted recording files?

Yes, the finalize step includes process termination and integrity checks to help recover and prepare orphaned or incomplete recordings for conversion.

Where does the skill look for recordings?

It automatically discovers running asciinema processes and searches for recent .cast files in the user's home directory, though you can also specify a file path manually.

What file types does this skill support?

It primarily processes .cast files generated by asciinema and converts them into .txt files for text-based AI analysis.

Asciinema Post-Session Workflow

Name: Asciinema Post-Session Workflow
Author: terrylica

byterrylica

•

生产力与工作流

Automates the finalization, conversion, and AI-powered summarization of terminal recordings.

This skill provides a comprehensive end-to-end workflow for managing asciinema terminal recordings, allowing developers to transform raw session data into actionable insights. It handles the cleanup of orphaned recording processes, compresses and backs up files, converts binary recordings to searchable text, and leverages AI to generate deep-dive summaries or quick keyword analysis. It is an essential tool for documenting complex terminal sessions, debugging long workflows, or creating detailed post-mortem reports from CLI interactions.

主要功能

01Offers 'Full AI Mode' for iterative, deep-dive analysis of long terminal sessions

02Converts .cast recording files into plain text for easy search and analysis

03Provides 'Quick Mode' for rapid keyword discovery and high-level summaries

04Exports analysis findings directly to Markdown files for documentation

05Finalizes orphaned asciinema processes with automatic compression and git backup

0624 GitHub stars

使用场景

01Generating automated post-mortem reports from terminal-based debugging sessions

02Cleaning up and archiving terminal recording artifacts after a development sprint

03Converting long CLI workflow recordings into concise, readable documentation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add terrylica/cc-skills post-session

For use in Claude.ai and ChatGPT