rightmemory-onboarding-interview
SolidUse when a user wants to initialize or onboard a RightMemory memory root, create reviewable MEMORY.md or MEMORY_*.md drafts, convert project/user context into RightMemory schema, or asks for an onboarding interview before writing memory files.
Install
Quality Score: 79/100
Skill Content
Details
- Author
- RightL
- Repository
- RightL/RightMemory
- Created
- 2 months ago
- Last Updated
- today
- Language
- Python
- License
- Apache-2.0
Similar Skills
Semantically similar based on skill content — not just same category
memory-onboard
Use this skill when the user types `/memory-onboard` (or asks "set up memory for this repo" / "onboard this repo to memory" / "what should be in lore for this repo?"). It runs a repo-aware onboarding interview that produces DRAFT lore records grounded in concrete repo signals (README, ADRs, recent commits, deprecation markers, in-flight migrations). Requires the memory-mcp MCP server to be configured. Uses these MCP tools: search_lore / get_lore / suggest_lore (core), and optionally report_conflict (when a candidate item contradicts existing lore) and record_absence (when the user confirms a topic has no team policy yet). All suggest_lore / report_conflict output lands as drafts — the human approves via `memory review` afterwards. record_absence markers self-expire (default 14 days) and don't need review.
memory-retriever
Use when the user explicitly chooses read-only RightMemory retrieval for relevant context from earlier work, preferences, project or domain knowledge, live Pursuits, or reusable agent guidance. This skill never submits updates or modifies RightMemory.
memory-review
Interactive review of all memory/ files — keep, update, deprecate, or delete entries one by one. Use when the user wants to audit and prune accumulated memory — 'review my memory', 'clean up what you remember'. Do NOT use for: teaching a new fact (use learn), recalling something specific (read memory directly), or batch-promoting session insights (use recap).