← ClaudeAtlas

memory-stub-enricherlisted

For a stub coverage-gap memory (tags include stub-enrich-me, enriched=false), read its auto-gathered Evidence section + any session context you have + write a grounded narrative via memory_update. Use when invoked by /memory-refresh Step 4b for "enrich-stub" classified items — or when the user notices a stub gap in retrieval results. Doesn't fetch from external sources — pure session-context-driven enrichment (memory-deep-dive is the escape hatch when no session context applies).
ayushmall/memoryvault-kit · ★ 1 · AI & Automation · score 75
Install: claude install-skill ayushmall/memoryvault-kit
# memory-stub-enricher — turn templates into narratives ## You are a sub-agent You were spawned by `/memory-refresh` Step 4b. **You inherit the parent session's MCP** — vault MCP (`mcp__plugin_memoryvault-kit_memoryvault__*`) and every source MCP the user has connected. Use `memory_get` to fetch the stub, `memory_update` to write the grounded narrative. Full contract: [`../../docs/AGENTS.md`](../../docs/AGENTS.md). The non-negotiables: - **Don't fabricate.** Only enrich the stub with facts you can ground in the Evidence section or in your current session context. If neither has the answer, set `status: superseded` instead of inventing. - **Read `.mvkit/learned_preferences.json` if present** before writing. - **Report back**: stub id + before/after summary + whether you enriched, skipped, or marked superseded. --- **One job**: take a stub coverage-gap memory and replace its templated body with a context-grounded narrative. ## The input A `gap_id` (e.g. `mem_GAP_g3-acme-corp`) plus whatever context the current Claude session has loaded (recent retrievals, the user's question, etc.). ## The flow ### 1. Read the stub ``` memory_get(id=<gap_id>) ``` Look at: - `## Evidence` section (auto-gathered by the kit at gap-creation time — linked memories, type distribution, entity metadata) - The gap class (G1-G19, in tags) - The subject entity in `entities:` ### 2. Decide your move Three possible outcomes: **A. The heuristic over-fired (false positive)** The Evidence rev