From superfast
Maintains long-term cognitive memory of project architecture using the CBFDAE ontology. Reduces hallucinations by storing structured knowledge about components, blocks, functions, data, access, and events.
How this skill is triggered — by the user, by Claude, or both
Slash command
/superfast:fastmemoryThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
**FastMemory is the horizontal layer of truth for AI agents.**
FastMemory is the horizontal layer of truth for AI agents.
It provides a structured way to store and retrieve project knowledge using the CBFDAE (Component, Block, Function, Data, Access, Event) ontology. This reduces hallucinations by ensuring the agent always references a verified, structured cognitive graph of the codebase instead of relying on transient context.
Use FastMemory whenever you are:
Symptoms that you need FastMemory:
| Entity | Description | Example |
|---|---|---|
| Component | High-level logical unit | AuthService, PaymentGateway |
| Block | Functional grouping within a component | LoginFlow, TokenExchanger |
| Function | Specific atomic operation | validateCredentials, issueJWT |
| Data | Data structures or schemas | UserData, AuthResult |
| Access | Permissions and visibility | Public, AdminOnly |
| Event | State changes or notifications | UserLoggedIn, AccessDenied |
Use the extract_cbfdae.py tool to extract structured data from your design markdown.
python3 skills/fastmemory/extract_cbfdae.py design.md
When starting a task, query FastMemory for relevant context:
# Query for Auth component patterns
python3 skills/fastmemory/query_memory.py --query "Component: Auth"
npx claudepluginhub fastbuilderai/superfastCreates structured, bite-sized implementation plans from specs or requirements before writing code. Useful for breaking down multi-step tasks into testable steps with file structure and task boundaries.