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knowledge-fsonl

Explain FSONL syntax, schemas, and streaming semantics for learning and reference.

Updated Mar 1, 2026
Search Tags:#schema#parsing#serialization#jsonl#line-based#fsonl
One-click install
npx skills add https://github.com/hve4638/hve-cc-marketplace --skill knowledge-fsonl
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: knowledge-fsonl
Source: https://github.com/hve4638/hve-cc-marketplace/tree/main/common/skills/knowledge-fsonl
Command: npx skills add https://github.com/hve4638/hve-cc-marketplace --skill knowledge-fsonl

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a concise reference and learning resource for FSONL, a line-based serialization format that exposes type information at the line level and supports schema-driven validation.

Core Features & Use Cases

  • Type-leading entries for immediate type visibility and easy parsing (examples include rm("tmp.log", force=true)).
  • Schema binding via @schema to name positional arguments, apply defaults, and validate types.
  • One-line-per-entry processing, enabling streaming, appends, and log-style workflows.
  • JSON-compatible primitive values and support for arrays/objects, with a clear separation from JSONL by explicit typing.
  • Two-stage parsing model: first parse syntax to AST, then bind to a typed object via schema; suitable for lightweight data pipelines and structured logging.
  • Use cases include streaming data ingestion, configuration-like records, and lightweight data interchange where type information is valuable.

Quick Start

Create a simple FSONL line to observe how types appear and how the schema is applied during parsing.

Frequently Asked Questions about knowledge-fsonl

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is FSONL and how does line-based serialization work?▼

FSONL is a line-based serialization format where each line represents a single typed entry, exposing type information directly at the line level to enable immediate parsing, streaming, and appends for lightweight data workflows.

How does FSONL compare to JSONL for streaming data pipelines?▼

Unlike JSONL, FSONL distinguishes itself by using type-leading entries for explicit typing and a two-stage parsing model that binds syntax to typed objects via schema, providing built-in type validation rather than untyped JSON primitives.

How do I use schema declarations to validate types in FSONL?▼

You use the @schema binding to name positional arguments, apply default values, and validate types, operating within a two-stage parsing model that first evaluates syntax to an AST and then binds it to a typed object.

Can I use FSONL for structured logging and configuration records?▼

FSONL is well-suited for structured logging and configuration-like records because its one-line-per-entry processing supports streaming semantics, appends, and immediate type visibility for entries like rm("tmp.log", force=true).

Do I need external dependencies to parse FSONL syntax?▼

No external dependencies are required to parse FSONL syntax. The format uses a self-contained two-stage parsing model that first converts syntax to an AST and then binds it to a typed object through schema declarations.

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