Search prior chat sessions with aspy_recall to synthesize continuity summaries.
npx skills add https://github.com/omgpointless/aspy --skill context-recovery
Please help me install this Agent Skill. Skill: context-recovery Source: https://github.com/omgpointless/aspy/tree/main/skills/context-recovery Command: npx skills add https://github.com/omgpointless/aspy --skill context-recovery
This Skill helps you recover context that was lost to session compaction or exists in a previous conversation. It helps when you need to recall decisions, implementations, or discussions that aren't in the current context.
High-intent search queries and answers about installing and using this skill.
Context recovery retrieves lost information from earlier conversations using semantic search across thinking blocks, prompts, and responses. Use aspy_recall with relevant keywords to locate decisions, implementations, and discussions, then synthesize findings into a continuity summary for seamless re-engagement.
Yes. Use targeted aspy_recall functions—aspy_recall_thinking, aspy_recall_prompts, aspy_recall_responses—to pinpoint exact context by keyword or topic. Results surface the location and content of prior decisions and file paths for quick reference.
Session compaction removes context from active memory, but this Skill recovers it by searching archived thinking blocks and responses. Semantic and keyword-based retrieval reconstructs the discussion thread and highlights next steps to maintain workflow continuity.
Start with broad keywords related to the topic, then refine your aspy_recall query based on results. The Skill synthesizes partial matches across thinking blocks and responses to reconstruct the full context and propose continuity actions.
Yes. Context recovery searches thinking blocks, prompts, and responses separately or together, enabling retrieval of reasoning steps, user questions, and implementation details from prior sessions in a single workflow.
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