Extract full context of the last task from the most recent parent session shown in the session lineage. Strategically uses sub-agents to avoid bloating your own context.
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: recover-context description: Extract full context of the last task from the most recent parent session shown in the session lineage. Strategically uses sub-agents to avoid bloating your own context.
recover-context
Use this skill to extract context from a parent session when a session lineage is present (shown in the first user message of this conversation).
Instructions
-
Identify the most recent parent session from the lineage chain (the last file in the chronological list).
-
Use sub-agents to explore (to avoid bloating your own context):
- If you have the Task tool with subagent support, use the
session-searchersubagent (subagent_type:session-searcher) to analyze the most recent session - If sub-agents are NOT available, use the
aichat:session-searchskill instead
- If you have the Task tool with subagent support, use the
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Extract the following from the most recent session:
- What was the last task being worked on?
- What was the current state of that task (completed, in-progress, blocked)?
- Any pending items or next steps mentioned?
- Key decisions made or approaches chosen
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Also check for associated documents:
- Issue specs or task descriptions referenced in the session
- Any markdown files created during that session (check WORKLOG/, issues/, etc.)
- Code files that were being modified
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Report back concisely:
- State your understanding of the task context
- List any files you found that are relevant
- Ask the user how they'd like to proceed
Example Sub-agent Prompt
If using the Task tool with session-searcher subagent:
Analyze the session file at [path from lineage] and extract:
1. The last task being worked on (look at the final 20-30 messages)
2. Current state of that task
3. Any referenced markdown files (issue specs, work logs, etc.)
4. Pending next steps or blockers
Return a concise summary.
Constraints
- Do NOT read large session files directly into your own context
- ALWAYS delegate to sub-agents or the session-search skill
- Keep your summary concise - the user knows what they were working on
- Focus on the LAST task, not the entire session history
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Use this skill when you learn one or more design pattern(s) in the Langroid (multi) agent framework, and want to make a note for future reference for yourself. Use this either autonomously, or when asked by the user to record a new pattern.
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name: make-issue-spec
