pp-public-param-golden
Printing Press CLI for Public Param Golden. Public parameter name golden fixture
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Printing Press CLI for Public Param Golden. Public parameter name golden fixture
Use this skill when the user wants Python data models, Pydantic models, dataclasses, TypedDicts, msgspec structs, or type-safe Python classes generated from OpenAPI, AsyncAPI, JSON Schema, GraphQL, JSON/YAML/CSV sample data, MCP tool schemas, Protocol Buffers, XML Schema, Apache Avro, or existing Python model objects. Use it for requests such as "Pydantic models from this schema", "types for this API", "parse this JSON into classes", or "convert this spec into Python models". Prefer the datamodel-codegen CLI over hand-written model code whenever an input schema, API spec, sample data file, or Python model object exists.
Collect a complete system-access request from the user and file it via the IT service desk. Use when someone asks to request, grant, or set up system/application access for an employee.
Define a new node schema under cartography/models/MODULE_NAME/, including required properties, sub-resource relationships, extra labels, conditional labels, scoped cleanup, and one-to-many transforms. Use when the user asks to add a node type, model a new resource, configure extra Neo4j labels (Identity, Asset, UserAccount, Tenant), or wire scoped vs global cleanup.
Define a `CartographyRelSchema` (standard relationship), one-to-many edge, or `MatchLink` connecting existing nodes. Use when the user asks to add a relationship, link nodes, set a `RESOURCE` / `MEMBER_OF` / `ASSOCIATED_WITH` edge, share a node across modules, or model a composite node from two intel sources.
Add a post-ingestion typed analysis job to a Cartography module to enrich the graph after sync. Use when the user asks to compute internet exposure, propagate inherited permissions, link Human / canonical ontology nodes, score risk, or add cross-resource analysis after data is loaded.
Use when adding or changing Archestra backend routes, models, services, API request/response schemas, endpoint permissions, or OpenAPI/codegen for the generated API client.
Map-reduce a finished archestra-bench run into a Tier-1/Tier-2 improvement report using Claude subagents (same analysis as the Rust analyzer, no API key).
Use when writing, debugging, or running Archestra Playwright e2e tests, API/UI fixtures, WireMock-backed tests, local/CI e2e setup, or test selectors.
Use when modifying Archestra frontend Next.js/React code, UI components, forms, TanStack Query hooks, generated API client usage, frontend copy, or documentation links.