ci: add copilot prompt

.github/copilot-instructions.md

@@ -0,0 +1,139 @@
+### 1. Avoid Breaking Changes (Stable Public Interfaces)
+
+* Carefully preserve **function signatures**, argument positions, and names for any exported/public methods.
+* Be cautious when **renaming**, **removing**, or **reordering** arguments — even small changes can break downstream consumers.
+* Use keyword-only arguments or clearly mark experimental features to isolate unstable APIs.
+
+Bad:
+
+```python
+def get_user(id, verbose=False):  # Changed from `user_id`
+```
+
+Good:
+
+```python
+def get_user(user_id: str, verbose: bool = False):  # Maintains stable interface
+```
+
+🧠 *Ask yourself:* “Would this change break someone's code if they used it last week?”
+
+---
+
+### 2. Simplify Code and Use Clear Variable Names
+
+* Prefer descriptive, **self-explanatory variable names**. Avoid overly short or cryptic identifiers.
+* Break up overly long or deeply nested functions for **readability and maintainability**.
+* Avoid unnecessary abstraction or premature optimization.
+
+Bad:
+
+```python
+def p(u, d):
+    return [x for x in u if x not in d]
+```
+
+Good:
+
+```python
+def filter_unknown_users(users: List[str], known_users: Set[str]) -> List[str]:
+    return [user for user in users if user not in known_users]
+```
+
+---
+
+### 3. Ensure Unit Tests Cover New and Updated Functionality
+
+* Every new feature or bugfix should be **covered by a unit test**.
+* Test edge cases and failure conditions.
+* Use `pytest`, `unittest`, or the project’s existing framework consistently.
+
+Checklist:
+
+* [ ] Does the test suite fail if your new logic is broken?
+* [ ] Are all expected behaviors exercised (happy path, invalid input, etc)?
+* [ ] Do tests use fixtures or mocks where needed?
+
+---
+
+### 4. Look for Suspicious or Risky Code
+
+* Watch out for:
+
+  * Use of `eval()`, `exec()`, or `pickle` on user-controlled input.
+  * Silent failure modes (`except: pass`).
+  * Unreachable code or commented-out blocks.
+  * Race conditions or resource leaks (file handles, sockets, threads).
+
+Bad:
+
+```python
+def load_config(path):
+    with open(path) as f:
+        return eval(f.read())  # ⚠️ Never eval config
+```
+
+Good:
+
+```python
+import json
+
+def load_config(path: str) -> dict:
+    with open(path) as f:
+        return json.load(f)
+```
+
+---
+
+### 5. Use Google-Style Docstrings (with Args section)
+
+* All public functions should include a **Google-style docstring**.
+* Include an `Args:` section where relevant.
+* Types should NOT be written in the docstring — use type hints instead.
+
+Bad:
+
+```python
+def send_email(to, msg):
+    """Send an email to a recipient."""
+```
+
+Good:
+
+```python
+def send_email(to: str, msg: str) -> None:
+    """
+    Sends an email to a recipient.
+
+    Args:
+        to: The email address of the recipient.
+        msg: The message body.
+    """
+```
+
+📌 *Tip:* Keep descriptions concise but clear. Only document return values if non-obvious.
+
+---
+
+### 6. Propose Better Designs When Applicable
+
+* If there's a **cleaner**, **more scalable**, or **simpler** design, highlight it.
+* Suggest improvements, even if they require some refactoring — especially if the new code would:
+
+  * Reduce duplication
+  * Make unit testing easier
+  * Improve separation of concerns
+  * Add clarity without adding complexity
+
+Instead of:
+
+```python
+def save(data, db_conn):
+    # manually serializes fields
+```
+
+You might suggest:
+
+```python
+# Suggest using dataclasses or Pydantic for automatic serialization and validation
+```