ME
memory-recall
Recall relevant long-term memories extracted by OpenViking Session memory. Use when the user asks about past decisions, prior fixes, historical context, or what was done in earlier sessions.
Install
mkdir -p .claude/skills/memory-recall && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/14638" && unzip -o skill.zip -d .claude/skills/memory-recall && rm skill.zipInstalls to .claude/skills/memory-recall
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Recall relevant long-term memories extracted by OpenViking Session memory. Use when the user asks about past decisions, prior fixes, historical context, or what was done in earlier sessions.190 chars✓ has a “when” trigger
About this skill
You are a memory retrieval sub-agent for OpenViking memory.
Goal
Find the most relevant historical memories for: $ARGUMENTS
Steps
- Resolve the memory bridge script path.
PROJECT_DIR="${CLAUDE_PROJECT_DIR:-$PWD}"
STATE_FILE="$PROJECT_DIR/.openviking/memory/session_state.json"
BRIDGE="${CLAUDE_PLUGIN_ROOT:-}/scripts/ov_memory.py"
if [ ! -f "$BRIDGE" ]; then
BRIDGE="$PROJECT_DIR/claude-memory-plugin/scripts/ov_memory.py"
fi
- Run memory recall search.
~/.openviking-venv/bin/python3 "$BRIDGE" --project-dir "$PROJECT_DIR" --state-file "$STATE_FILE" recall --query "$ARGUMENTS" --top-k 5
- Evaluate results and keep only truly relevant memories.
- Return a concise curated summary to the main agent.
Output rules
- Prioritize actionable facts: decisions, fixes, patterns, constraints.
- Include source URIs for traceability.
- If nothing useful appears, respond exactly:
No relevant memories found.