Summarizes conversation history and technical discussions into concise, actionable bullet points.
The TLDR skill is designed to streamline developer workflows by synthesizing long AI responses or complex technical debates into high-level summaries. It extracts critical findings, recommended actions, and specific deliverables into a standardized bulleted format, ensuring key information is never lost in long message threads. Whether you need a quick recap of the last message or a targeted summary of a specific topic discussed earlier, this skill helps maintain project momentum by focusing on what needs to be done next.
Key Features
01Context-aware summarization of the immediate previous assistant message
02Smart validation to handle short messages or empty conversation histories
03Standardized formatting limited to 8 concise bullet points
041 GitHub stars
05Action-oriented summaries focusing on findings, decisions, and deliverables
06Targeted topic extraction using specific keywords or arguments
Use Cases
01Condensing a lengthy architectural discussion into a list of actionable next steps
02Extracting key takeaways and root causes from a complex debugging session
03Recapping a series of code recommendations before starting implementation
