Gabriel Stein
30 lines
1.1 KiB
Bash
Executable File
30 lines
1.1 KiB
Bash
Executable File
#!/usr/bin/env bash
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# Hook: TaskCompleted
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#
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# Fires when a task is marked as completed. Reminds Claude to extract
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# and store learnings via the mem0 MCP tools.
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#
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# Input: JSON on stdin with task_id, task_subject, task_description
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# Output: Text that becomes feedback to the model (exit 0)
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set -euo pipefail
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INPUT=$(cat)
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TASK_SUBJECT=$(echo "$INPUT" | jq -r '.task_subject // "unknown task"' 2>/dev/null || echo "unknown task")
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cat <<EOF
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Task completed: "$TASK_SUBJECT"
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Extract key learnings from this completed task and store them using the mem0 \`add_memory\` tool:
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1. What strategy worked well? -> Store with metadata \`{"type": "task_learning"}\`
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2. Were there failed approaches before finding the solution? -> Store with metadata \`{"type": "anti_pattern"}\`
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3. Were there architectural decisions? -> Store with metadata \`{"type": "decision"}\`
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4. Any new conventions or patterns established? -> Store with metadata \`{"type": "convention"}\`
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Memories can be as detailed as needed — include full context, reasoning, code snippets, and examples.
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Only store genuinely useful learnings — skip if the task was trivial.
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EOF
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exit 0
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