Reconstructs lost session context from channel history and logs.
npx skills add https://github.com/jdrhyne/agent-skills --skill context-recovery-jdrhyne
Please help me install this Agent Skill. Skill: context-recovery Source: https://github.com/jdrhyne/agent-skills/tree/main/skills/context-recovery Command: npx skills add https://github.com/jdrhyne/agent-skills --skill context-recovery-jdrhyne
Automatically recover working context after session compaction or when continuation is implied but context is missing. Works across Discord, Slack, Telegram, Signal, and other supported channels.
Run context-recovery at session start to reassemble the most recent context from channel history and session logs.
High-intent search queries and answers about installing and using this skill.
Recover lost chat context by aggregating recent messages, thread history, and session logs to reconstruct truncated sessions. This skill automatically retrieves channel-aware history and synthesizes a context report for seamless continuation across Slack, Discord, and other platforms.
Restore conversation history across multiple platforms including Telegram, Signal, Discord, and Slack. The skill aggregates cross-channel references and handles platform-specific history retrieval to rebuild working context regardless of the source channel.
Reconstruct session context by running this skill at session start to reassemble recent history from channel logs and memory caches. It handles continuation prompts and compaction triggers, producing a synthesized context report for subsequent AI actions.
Context recovery works with cross-channel references by aggregating history across supported messaging platforms. It retrieves and caches channel-aware messages, threads, and logs to reconstruct working context even when conversations span multiple channels.
Run context recovery at session start or immediately after a compaction trigger fires. It reassembles the most recent context from channel history and stored session logs, ensuring seamless continuation without losing prior conversation state.
Session context gets truncated due to compaction triggers that compress or drop earlier messages. Fix this by aggregating recent messages, thread history, and stored session logs to reconstruct the lost context into a synthesized report for AI continuation.
whiteboardevStore session context as structured notes when nearing capacity thresholds.
nyldnRestore project state from .octo files and resume workflows.
dfpalhanoRecover and synthesize conversational context from Discord, Slack, and Telegram logs.
spamschSend iMessages, list recent chats, and search message history via AppleScript and chat.db.
