Multi-file
devopsOfficial
Official Provider SkillView repo
Create a Mononoke server-side hook with 3-diff split (tests, wiring, implementation), unit tests, and integration tests
Files6 files
SKILL.md20 lines
Loading editor…
Install
RecommendedOne command — your agent picks it up automatically.
Select an AI agent above to see the install command.
or
Manual Install
More stepsDownload the archive and add the files to your project manually.
Skill details
Versionv1.0.0
AuthorFacebook
Categorydevops
Skill IDfacebook/sapling/eden/mononoke/.llms/skills/write-hook
Files6 files
Related skills
CREATING ENDPOINTSThis guide explains how to create new EdenAPI/SLAPI endpoints, covering both streaming and non-streaming patterns.Eden ResearchLoad FIRST before searching code in eden/. Contains component-to-file maps, key type names, and architecture diagrams for EdenFS, Sapling, and Mononoke. Tells you exactly which files to read for any task. References contain per-component quick reference tables.Edenfs Systemd TriageTriage systemd-managed EdenFS issues on Linux devservers and OnDemands. Use when investigating EdenFS service failures, unexpected restarts, systemctl errors, edenfs_upgrade/edenfs_restarter problems, or when a user reports EdenFS is down on a systemd-enabled host. Also use when someone asks how systemd-managed EdenFS works, how to monitor it, or how to check its health. Use when asked to build a timeline of EdenFS lifecycle events, show edenfs restart history, or understand how edenfs reached iStructured Error LoggingAdd or review structured error logging in EdenFS daemon (C++) — the ErrorLogger / EdenErrorInfo system that feeds the edenfs_errors table. Use when writing a catch block or handling a boxed/async exception (folly::Try / exception_wrapper / .thenError), instrumenting a failure path, or debugging a wrong stack trace or wrong component. Covers throw-site trace rules, component choice, errorType, noise filtering, gating, and testing.Add Shape Types To Torch ModelPort a PyTorch model to use pyrefly's tensor shape type system (Tensor[B, C, H, W], Dim[T]). Use this skill whenever the user wants to add shape annotations to a PyTorch model, type a model with tensor dimensions, port a model to use shape tracking, or annotate model forward methods with tensor shapes. Also use when the user mentions tensor shape ports, Dim types for PyTorch, or pyrefly shape checking on a model file. Invoke BEFORE starting any model port — the skill's gated workflow prevents coSession LifecycleDevice session states, pause/resume, availability monitoring