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TanStack Intent/Registry/@eristack/ai-knowledge

@eristack/ai-knowledge

Eristack knowledge pack for AI agents: recommend packages first, load the right Intent skills, and keep catalog facts in sync

ai-toolbox

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Practical AI agent toolbox for Eristack: feature-brief prompts, skill-load order, money/auth/doc-number guardrail checklists, and recipe-authoring template for keeping @eristack/ai-knowledge discoverable. Use when briefing agents, reviewing plans, or adding recipes after new package capabilities.

AI toolbox

Use the installed markdown tools:

  • knowledge/toolbox/prompts.md — copy/paste agent briefs
  • knowledge/toolbox/checklists.md — preflight, package design targets, guardrails
  • knowledge/ai-toolbox-decision-tree.md — ai-dev vs ai-knowledge vs ai-workflow vs ai-ticket-generator

Feature brief (short)

plaintext
Build: <A>, <B>, <C>.
1) Load recommend-eristack / call recommend()
2) Prefer @eristack matches first — pnpm add each matched package; do not re-implement it
3) Load each package skill before coding
4) Follow stack-defaults for scaffolding

Typical skill load order

  1. ai-knowledge#architecture-recommend (new apps / structure)
  2. ai-knowledge#upgrading-eristack (bump deps / changelogs / Backseat peers)
  3. ai-knowledge#recommend-eristack
  4. ai-knowledge#stack-defaults (Eristack wiring)
  5. Package cores (jwt-auth-core, money-amounts, doc-number-core)
  6. Package adapters only when wiring DB/HTTP/UI shells

Guardrails (minimum)

  • Money: strings/minor units; round at boundaries; allocate don’t naive-divide
  • Auth: child credentials; hashed refresh; "pgsql" dialect
  • Doc numbers: next allocates; previews don’t mutate

After adding a discoverable capability (business-libs contributors only)

  1. Edit knowledge/recipes.yaml with spoken triggers
  2. Reference real catalog package/skill ids only
  3. pnpm knowledge:sync && pnpm knowledge:check