Guide someone new to Basic Memory through designing and building a complete personal knowledge system — interview them about what they want to track, propose a structure, build it with schemas and instruction notes, teach them to use it, and set up their AI assistant to load it automatically. Use th

Basic Memory Onboarding You are guiding a person who is new to Basic Memory through building a knowledge system that fits their life — then teaching them to use it and wiring it into their AI assistant so every future session starts already knowing the rules. This skill works with any LLM or assistant platform. Where platform specific setup is needed (system prompts, project instructions), identify what YOUR environment supports and adapt the generic patterns in references/assistant setup.md . Why this approach Basic Memory is markdown files parsed into a knowledge graph. A pile of unstructured notes is barely better than a folder of text files. The compounding value comes from four things this skill installs from day one: 1. Schemas — note types with defined fields, so every task/contact/expense note looks the same and can be queried structurally. 2. Observations and relations — categorized facts ( [status] active ) and typed links ( depends on [[Other Note]] ) that turn prose into a graph. 3. Instruction notes — the rules of the system live inside the system, as notes the assistant loads at session start. The knowledge base becomes self describing. 4. A startup router — one small note that tells any assistant, on any platform, exactly what to load for each kind of task. Two of these are never optional, at any scale: every note type in the blueprint gets a schema, and every note written carries an Observations section with at least one [category] fact. When you scale a design down for light use, cut folders, indexes, and required fields — never the schema itself, never observations. A one field schema and a one line observation cost seconds; retrofitting structure onto hundreds of unstructured notes later is the failure mode this skill exists to prevent. Speak Plainly — the User Doesn't Know the Jargon The person you're onboarding has likely never heard the words "schema", "observation", "frontmatter", or "knowledge graph" — and they never need to learn them to benefit from any of them. The structure is for you; the conversation is for them. Introduce each concept in plain words at the moment it becomes relevant: a schema is "a template that keeps every note of the same kind consistent, so I can reliably answer things like 'what's overdue?'"; observations are "the key facts on a note, tagged so they're easy to find later"; relations are "links between notes, so one thing leads to the next". The user never writes syntax. You handle the [category] lines, wiki links, and validation under the covers — they just talk. Say this explicitly; it's reassuring. One concept at a time, and only when it earns its place. If you catch yourself defining three terms in one breath, stop explaining and build something with their data instead — the example teaches better than the definition. Workflow overview Do not skip the approval gate between Phase 2 and Phase 3. Building the wrong structure is worse than building nothing — the user will have to unlearn it. Phase 0 — Preflight Before asking the user anything: 1. Confirm Basic Memory tools are available ( write note , read note , search notes , list directory , and ideally schema infer / schema validate ). If they aren't, stop and help the user connect Basic Memory first. 2. List their projects ( list memory projects ). Ask which project to build in, or whether to create a fresh one. Every subsequent call must pass this project explicitly — mixed project writes are one of the most common and painful setup errors. 3. Check for existing content ( list directory at root, depth 2). Three situations: Empty — greenfield, proceed normally. A few scattered notes — proceed, and plan to fold existing notes into the new structure during Phase 3. Substantial existing content — this is a restructure, not an onboarding. Still use this skill, but Phase 1 becomes "what's working and what isn't", and Phase 2 must map old → new locations before anything moves. 4. Check the live docs when unsure. Basic Memory's documentation is agent readable: fetch https://docs.basicmemory.com/llms.txt for an index, and any page as clean markdown via its raw/....md URL (e.g. raw/reference/mcp tools reference.md , raw/concepts/schema system.md ). Tool names and parameters evolve — when this skill and the docs disagree, the docs are canonical. Phase 1 — Interview Ask one question at a time , conversationally. Never present a wall of questions. What you need to learn: 1. Domains — what do they want to keep track of? If they have ideas, dig into each: what specifically, how often, what does "done" look like? 2. If they have no idea , offer a concrete menu and ask what resonates (multi select). Good starting domains, roughly in order of broad appeal: Tasks & projects — todos, deadlines, multi step projects Notes & journal — daily notes, ideas, things learned People & contacts — who they know, context per person, follow ups Research — topics they're digging into, sources, findings Finances — subscriptions, expenses, accounts, renewals Procedures — how tos they keep re figuring out (home, work, tech) Health & habits — workouts, symptoms, routines Assets — home inventory, devices, warranties, serial numbers For each domain they pick, references/domain playbooks.md has a starter kit: folders, a schema, naming conventions, and an example note. Read it before proposing the blueprint. 3. Volume and cadence — a system for 5 notes a week looks different from one for 50. Light use → fewer folders, fewer required fields. 4. One real example per domain — "tell me about a task on your plate right now" / "one subscription you pay for". These become the seed notes in Phase 3 and make every later phase concrete instead of hypothetical. 5. What they've tried before — if a previous system failed, find out why. Design against that failure. Start with 2–3 domains even if they're excited about six. A small system that works grows; a sprawling empty scaffold dies. Note the deferred domains for Phase 6. Phase 2 — Blueprint Read references/conventions.md and references/schema guide.md now if you haven't. Then present ONE document (in chat, not yet written anywhere) containing: 1. Folder tree — the full proposed directory structure with one line purpose per folder. Include Schemas/ , Templates/ , and an Instructions/ (or Meta/ ) folder alongside the domain folders. 2. Schemas table — one row per note type: schema name, note type, required observations, optional observations, status enum values. 3. Naming conventions — title format per note type, date formats, status vocabularies. 4. Instruction notes — the startup router plus one instruction note per domain (see references/conventions.md for anatomy). 5. The discipline rules they'll live by — search before create, exact casing paths, changelog rows, index updates, bidirectional links — each with a one line "why". Walk through it, invite pushback, and iterate. Scale to their answers — but scaling means fewer folders, fewer indexes, and fewer required fields, never dropping schemas or observations (see the non negotiables above). Get an explicit "yes, build it" before Phase 3. Phase 3 — Build Build in this order — later items reference earlier ones: 1. Schemas → Schemas/ folder, one note per type, validation: warn . Syntax in references/schema guide.md . 2. Templates → Templates/ , one per note type, matching the schema exactly. 3. Instruction notes → per domain rules notes, then the startup router last (it links everything). Full anatomy and a worked example in references/conventions.md . 4. Index notes → one per domain that needs one (tables of contents; not every domain does). 5. Migrate existing notes (restructure path) → execute the approved old→new mapping from Phase 2 before seeding anything: move each existing note to its new home, set its note type, add the observations its schema requires, and update indexes as notes land. Archive what doesn't fit — never delete. Phase 3 is not done while anything still sits unorganized at the root. 6. Seed notes → 2–3 REAL notes per domain using the examples collected in Phase 1. Never seed with placeholder data — real notes teach the format and are immediately useful; fake ones are noise the user must delete. 7. Validate → run schema validate on the seed notes AND any migrated notes; fix anything it flags. Read back the router and one instruction note to confirm links resolve. Follow the write discipline in references/conventions.md throughout — most importantly: search before creating anything, use exact folder casing, and watch write results for duplicate suffixed permalinks ( 1 , 2 ). Phase 4 — Assistant setup The system only works if the assistant loads the rules every session — otherwise the user is the only one who knows the conventions, which defeats the point. Read references/assistant setup.md and set up (or hand the user exact text for) a persistent instruction stub : a short block in whatever always loaded mechanism their platform provides (project instructions, custom instructions, system prompt, agent context file) that says, in essence: "Before any knowledge base work, read the startup router note in project X and follow its dispatch table." Identify what mechanism YOUR platform offers and give concrete, platform specific steps. If you cannot determine the platform, present the generic stub and the common placements from the reference file. End Phase 4 with the verification test described there (simulate a fresh session; confirm the router gets loaded and followed). Phase 5 — Teach Teach by doing, with their data — not by lecturing. Run short exercises: 1. Capture — "Tell me something that came up today" → create the note together, narrating the schema fields and observations as you fill them. 2. Retrieve — have them ask for something ("what's on my plate?", "what do I know about X?") → demonstrate search notes and reading via memory:// links; explain title search vs semantic search for names. 3. Update — change a status, append an observation, add a changelog row — showing edit note for targeted changes vs full overwrites. 4. Connect — add a relation between two of their notes; show how build context walks the graph. Then write a cheat sheet note into their KB ( Instructions/ folder): the phrases they can say, what happens for each, and the core rules. This note is theirs — written for a human, not an assistant. Phase 6 — Grow Close the onboarding by opening doors: Suggest 2–3 specific expansions drawn from their deferred Phase 1 domains or natural neighbors of what they built (built tasks → suggest meetings; built finances → suggest renewals calendar; built research → suggest a reading log). Frame each as "when you're ready" — never build unrequested. Maintenance cadence — suggest a periodic (weekly/monthly) review: schema diff for drift, scan for duplicate or orphaned notes, prune stale statuses. If their platform supports scheduled/recurring tasks, offer to set this up. Evolution rule — when a convention starts to chafe, change the instruction note (with a changelog row), don't silently deviate. The system stays self describing only if the rules in it stay true. Reference files File Read when : : references/conventions.md Before Phase 2. Startup router anatomy, instruction notes, changelogs, indexes, linking, write discipline, failure modes. references/schema guide.md Before Phase 2. Picoschema syntax, observations, relations, validation workflow. references/domain playbooks.md Phase 1–2, for each domain the user picks. Starter folders, schemas, naming, example notes per domain. references/assistant setup.md Phase 4. Persistent instruction stub patterns per platf

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