agentleFS
butterbase-aibutterbase-ai/butterbase-skills/skills/substrate/SKILL.md

substrate

Skill535 starsChanged 5 months agoMITView on GitHub

Use when the user wants to read/write their Butterbase substrate — the per-user agent-memory backend that holds entities, business state, institutional memory, and an append-only action ledger. Use for: founder copilots, AI agents that need memory across sessions, anything that proposes actions on the user's behalf.

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Every write goes through this loop.

    line 21
  2. Very specific:

    When apps.substrate_user_id is set to the app owner's platform_user.id, functions in that app get ctx.substrate injected at cold start, …

    line 46

≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Butterbase Substrate

Substrate is an optional, per-user add-on backend. One substrate per Butterbase account, lazily provisioned on first use, queryable from local Claude Code (via MCP), from any opted-in Butterbase app (via ctx.substrate inside functions), and from external systems (via HTTP).

Four stores

StoreWhat lives thereTools
EntitiesPeople, companies, projects you transact withget_entity, find_entities
Business stateNumeric facts that change over time (MRR, headcount)find_entities with type filter
Institutional memoryDecisions, commitments, learningssearch_memory
Action ledgerAppend-only log of every proposed/executed actionlist_outbox, propose_action history

The propose → policy → execute → log loop

Every write goes through this loop. Agents NEVER touch the substrate database directly.

  1. Propose — propose_action with capability + args. Returns an action ID.
  2. Policy — substrate-core evaluates per-capability rules. Verdicts: auto_execute, require_approval, deny.
  3. Approval (if needed) — human calls approve_action(action_id) or reject_action(action_id). If yolo_mode=true for this user, approvals are auto-granted for capabilities marked yolo-safe.
  4. Execute + log — substrate-core runs the action in a transaction and appends to the ledger.

For external side effects (sending email, calling an API), substrate writes to the outbox instead of executing inline. The cron-scheduler drains it. Use list_outbox, retry_outbox, cancel_outbox to manage it.

Reads

  • get_entity(id) — fetch by ID.
  • find_entities(type, query, limit) — typed search; query is full-text + structured.
  • search_memory(query, kind?) — semantic + keyword search across decisions/commitments/learnings.

When to use

  • ✅ Founder copilot ("what did I decide about pricing last quarter?")
  • ✅ AI agent that should remember a customer across conversations
  • ✅ Any app where you want a single source of truth for entities the agent operates on
  • ❌ Plain CRUD app (use regular Butterbase tables)
  • ❌ Pure analytics / read-only dashboard (substrate is action-oriented)

Linking an app

When apps.substrate_user_id is set to the app owner's platform_user.id, functions in that app get ctx.substrate injected at cold start, with reader and proposer methods. Use /butterbase-skills:journey-substrate to enable this for an app.

API keys

For agent access from local Claude Code, generate a scope='both' API key via manage_auth_config action: "generate_service_key" with substrate_access: true. The same bb_sk_ key works on both app and substrate endpoints.

Anti-patterns

  • ❌ Calling substrate MCP tools without first checking whether the user has substrate provisioned. find_entities returns 401 if there's no substrate — handle gracefully and suggest provisioning.
  • ❌ Treating the action ledger as mutable. It's append-only; "undo" is a new compensating action, not a delete.
  • ❌ Storing transient state in entities. Entities are durable nouns; use the app's runtime tables for ephemeral state.
  • ❌ Calling upsert_entity without canonical_keys or primary_email and expecting dedup. Provide one or the other so substrate can match an existing row. Without them, every call mints a new entity.
  • ❌ Calling update_entity for a partial update. It replaces attrs wholesale and will drop every key you didn't include. Use patch_entity (RFC 7396 merge-patch) instead.
  • ❌ Storing entity IDs in app data and skipping alias resolution after merge_entities. The merged-away ID stops resolving to an entity; look up substrate.entity_aliases to find the survivor.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

Reviews can't be read right now.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.