Agent docs: make guide reads an explicit step

.ai/AGENTS.md

@@ -27,6 +27,8 @@ Strive to write code as simple and explicit as possible.
 
 ## Reference guides
 
+Read the relevant guide before writing code in its area — existing code may predate the current conventions.
+
 - **Models** — see [models.md](models.md) for model conventions, attention pattern, implementation rules, dependencies, and gotchas. For adding or converting a model, use the [model-integration](./skills/model-integration/SKILL.md) skill.
 - **Pipelines** — see [pipelines.md](pipelines.md) for pipeline conventions, patterns, and gotchas.
 - **Modular pipelines** — see [modular.md](modular.md) for modular pipeline conventions, patterns, and gotchas.

.ai/skills/model-integration/SKILL.md

@@ -29,15 +29,17 @@ Then work through the **Integration checklist** below
 A pipeline in Diffusers (be it standard or modular) will have multiple components. These components can be models, schedulers, processors, etc.
 
 - [ ] **Transformer model**
-  - [ ] Implement the model with `from_pretrained` support (conventions: [models.md](../../models.md))
+  - [ ] Read [models.md](../../models.md)
+  - [ ] Implement the model with `from_pretrained` support
   - [ ] Convert weights (see **Weight / Checkpoint Conversion**)
   - [ ] Parity test against the reference (internal, not shipped — see **Model parity test**)
   - [ ] Register in the relevant `__init__.py` files (lazy imports)
   - [ ] Model-level tests (see **Testing**)
 - [ ] **VAE** (if applicable) — reuse an existing `AutoencoderKL*` if possible; if a new one is needed, follow the same sub-steps as the transformer
 - [ ] **Scheduler** — reuse an existing scheduler, or add a custom one
 - [ ] **Pipeline**
-  - [ ] Implement the pipeline — see [modular.md](../../modular.md) for modular pipeline, or [pipelines.md](../../pipelines.md) for standard pipeline
+  - [ ] Read [modular.md](../../modular.md) — or [pipelines.md](../../pipelines.md) for a standard pipeline
+  - [ ] Implement the pipeline
   - [ ] Add a LoRA mixin if applicable
   - [ ] Register in the relevant `__init__.py` files (lazy imports)
   - [ ] Pipeline-level tests (see **Testing**)
@@ -87,7 +89,7 @@ Common conversion patterns to watch for model-level components:
 
 ## Testing
 
-Two test layers must be added for any new pipeline: pipeline-level tests, and (if a new model is introduced) model-level tests. Conventions for both layers — file locations, tester mixins, dummy-component rules — live in [testing.md](../../testing.md); follow it when writing the tests.
+Two test layers must be added for any new pipeline: pipeline-level tests, and (if a new model is introduced) model-level tests. Read [testing.md](../../testing.md) before writing them — file locations, tester mixins, and dummy-component rules all live there.
 
 ## Model parity test