Create a work plan using memory context from past sessions. Use when the user says "make a plan", "what should we do next", "plan this out", "give me a roadmap", "help me prioritize", "what's the next step", "plan the sprint", or any request to organize upcoming work. Memory ensures the plan is grounded in what's already done, decided, and known to be broken.
Installation
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Create a work plan using memory context from past sessions. Use when the user says "make a plan", "what should we do next", "plan this out", "give me a roadmap", "help me prioritize", "what's the next step", "plan the sprint", or any request to organize upcoming work. Memory ensures the plan is grounded in what's already done, decided, and known to be broken.
make-plan: Memory-Grounded Planning
A good plan starts from the current state, not a blank slate. Memory tells you
what's been decided, what's blocking progress, and what was left mid-session.
Planning Workflow
1. Load context from memory
# What was done recently?
python3 {SKILL_DIR}/scripts/memory_store.py timeline --hours 168 --limit 30
# What's in progress / blocked?
COWORK_MEM_DB=~/mnt/.claude/.cowork-mem/memory.db \
python3 {SKILL_DIR}/scripts/vector_search.py "in progress blocked next step" --limit 10
# What did the last session summary say?
python3 {SKILL_DIR}/scripts/memory_store.py search "session summary" --type summary --limit 5
