context-recoveryRecover missing conversation context after explicit compaction or truncation, or when the user explicitly asks to recover prior work. Use for requests such as "where were we before compaction?" when the current thread is insufficient. Do not trigger on a generic "continue" when the current thread already provides an actionable next step.
Install via ClawdBot CLI:
clawdbot install jdrhyne/context-recoveryGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/PSPDFKit-labs/agent-skillsAudited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
A development team uses Slack for daily stand-ups and code reviews. When a session compacts due to message limits, the skill recovers the context of ongoing PR discussions, branch names, and incomplete tasks, ensuring seamless continuation of technical conversations without manual context re-entry.
A support agent handles user inquiries in Discord channels. After session truncation, the skill automatically fetches recent message history to recall the user's issue, previous troubleshooting steps, and pending actions, enabling efficient and personalized support without asking the user to repeat details.
A remote project team coordinates tasks via Telegram groups. When context is lost due to compaction, the skill recovers project identifiers, recent updates, and incomplete action items from channel history, helping team members quickly resume work on shared goals without disruption.
A tutor assists students with homework via Signal. If the session compacts, the skill retrieves prior lesson topics, student questions, and unresolved problems from message history, allowing the tutor to provide continuous, context-aware guidance without repeating instructions.
Content creators collaborate on scripts and edits in Discord threads. After context truncation, the skill recovers thread-specific messages and parent channel context to restore details like draft versions, feedback points, and next steps, streamlining the creative workflow.
Offer the skill as part of a premium AI agent package for teams, charging a monthly fee per user or channel. This model targets businesses needing reliable context recovery across platforms like Slack and Discord, with revenue generated from recurring subscriptions based on usage tiers.
Sell annual licenses to large organizations for integration into their internal communication tools. This model focuses on custom deployments with enhanced security and support, generating revenue through upfront licensing fees and ongoing maintenance contracts.
Provide a free basic version with limited message recovery depth, then upsell to premium features like advanced history fetching, multi-platform support, and persistence options. This model attracts individual users and small teams, converting them to paid plans for enhanced functionality.
💬 Integration Tip
Ensure the AI agent has proper API permissions for each platform (e.g., Slack's channels:history scope) and test adaptive depth logic to balance token usage with context recovery effectiveness.
Scored Apr 19, 2026
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