File size: 1,143 Bytes
0ae3f27 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | #!/usr/bin/env bash
# Hook: TaskCompleted
#
# Fires when a task is marked as completed. Reminds Claude to extract
# and store learnings via the mem0 MCP tools.
#
# Input: JSON on stdin with task_id, task_subject, task_description
# Output: Text that becomes feedback to the model (exit 0)
set -euo pipefail
INPUT=$(cat)
TASK_SUBJECT=$(echo "$INPUT" | jq -r '.task_subject // "unknown task"' 2>/dev/null || echo "unknown task")
cat <<EOF
Task completed: "$TASK_SUBJECT"
Extract key learnings from this completed task and store them using the mem0 \`add_memory\` tool:
1. What strategy worked well? -> Store with metadata \`{"type": "task_learning"}\`
2. Were there failed approaches before finding the solution? -> Store with metadata \`{"type": "anti_pattern"}\`
3. Were there architectural decisions? -> Store with metadata \`{"type": "decision"}\`
4. Any new conventions or patterns established? -> Store with metadata \`{"type": "convention"}\`
Memories can be as detailed as needed — include full context, reasoning, code snippets, and examples.
Only store genuinely useful learnings — skip if the task was trivial.
EOF
exit 0
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