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AI Agent Workflow Collection

Skill pack
9 skills0 selected
atopileSkills in this pack

Authoritative ato authoring and review skill: language reference, stdlib, design patterns, and end-to-end board design workflow.

English

Reference for the .ato declarative DSL: type system, connection semantics, constraint model, and standard library. Use when authoring or reviewing .ato code.

English

How FabLL (faebryk.core.node) maps Python node/trait declarations into the TypeGraph + instance graph, including field/trait invariants and instantiation patterns. Use when defining new components or traits, working with the Node API, or understanding type registration.

English

explore relationships in the lore knowledge graph - cooccurring files, project sessions, sibling sessions, tagged…

English

Browse, search, create, and update Octave library entities (personas, products, playbooks, segments, competitors, proof points, references). Use when user says "show my personas", "list products", "create a competitor", "update this segment", "search the library", or references any entity type by name.

English

A powerful skill that gives the agent semantic understanding of a codebase via the Language Server Protocol (LSP), moving beyond text searches to true code comprehension.

English

How the Zig↔Python binding layer works (pyzig), including build-on-import, wrapper generation patterns, ownership rules, and where to add new exported APIs. Use when adding Zig-Python bindings, modifying native extensions, or debugging C-API interactions.

English

How the Zig S-expression engine and typed KiCad models work, how they are exposed to Python (pyzigsexp), and the invariants around parsing, formatting, and freeing. Use when working with KiCad file parsing, S-expression generation, or layout sync.

English

How the Faebryk parameter solver works (Sets/Literals, Parameters, Expressions), the core invariants enforced during mutation, and practical workflows for debugging and extending the solver. Use when implementing or modifying constraint solving, parameter bounds, or debugging expression simplification.

English

Includes Ato Language and other workflows.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Pack stats

Skills9CategorygeneralStars0

What’s included

Ato

Authoritative ato authoring and review skill: language reference, stdlib, design patterns, and end-to-end board design workflow.

Ato Language

Reference for the .ato declarative DSL: type system, connection semantics, constraint model, and standard library. Use when authoring or reviewing .ato code.

Fabll

How FabLL (faebryk.core.node) maps Python node/trait declarations into the TypeGraph + instance graph, including field/trait invariants and instantiation patterns. Use when defining new components or traits, working with the Node API, or understanding type registration.

Graph

explore relationships in the lore knowledge graph - cooccurring files, project sessions, sibling sessions, tagged notes

Library

Browse, search, create, and update Octave library entities (personas, products, playbooks, segments, competitors, proof points, references). Use when user says "show my personas", "list products", "create a competitor", "update this segment", "search the library", or references any entity type by name.

Lsp

A powerful skill that gives the agent semantic understanding of a codebase via the Language Server Protocol (LSP), moving beyond text searches to true code comprehension.

Pyzig

How the Zig↔Python binding layer works (pyzig), including build-on-import, wrapper generation patterns, ownership rules, and where to add new exported APIs. Use when adding Zig-Python bindings, modifying native extensions, or debugging C-API interactions.

Sexp

How the Zig S-expression engine and typed KiCad models work, how they are exposed to Python (pyzigsexp), and the invariants around parsing, formatting, and freeing. Use when working with KiCad file parsing, S-expression generation, or layout sync.

Solver

How the Faebryk parameter solver works (Sets/Literals, Parameters, Expressions), the core invariants enforced during mutation, and practical workflows for debugging and extending the solver. Use when implementing or modifying constraint solving, parameter bounds, or debugging expression simplification.

Quick start

  1. Choose your skills. Select individual skills above, or choose the entire pack.
  2. Copy the install prompt. Use Copy install prompt above the list.
  3. Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.

Try it with your agent

After installation, start with a request like:

Example request
Use the Ato skill to help with my task.
Ask me for the context you need before getting started.

Requirements & license

  • A coding agent that can access your project files and install skills.
  • Your agent checks each skill’s instructions, dependencies, and permissions during setup.
  • Reported license for the skills shown: MIT. The author’s terms apply.
AI Agent Workflow Collection | Agent Skills Atlas