borglab/gtsam/annotate-pybind-adapters
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Diagnose generated pybind compilation failures caused by wrapper interface signatures that differ from their C++ declarations, then apply the wrap `@pybind_lambda` annotation to only the affected methods, static methods, or global functions. Use for compile-annotate-regenerate migrations with full-signature callable-pointer casts, especially for omitted parameters, value/reference differences, synthetic container accessors, incompatible types, inheritance, or templates.
Install
npx vskill@latest install borglab/gtsam/annotate-pybind-adaptersSKILL.md
Annotate Pybind Adapters
Use @pybind_lambda as an explicit escape hatch when a wrapper declaration is an adapter rather than the exact C++ callable signature. Keep full-signature callable-pointer casts as the default.
Read the repository instructions and the Pybind Callable Adapters section in DOCS.md before editing an interface file.
Workflow
- Reproduce the generated pybind compilation failure with the narrowest
available build target.
- Locate the failing binding in generated C++ and map it back to one callable
declaration in the wrapper .i file.
- Inspect the real C++ header. Do not infer signature equivalence from the
.i
file or from generator heuristics.
- Confirm that the old forwarding call is valid even though the generated
full-signature static_cast does not match the C++ declaration.
- Add the marker after any
template<...>prefix and immediately before that
callable:
```text @pybind_lambda ReturnType method(Arguments...);
template<T = {double}> @pybind_lambda T templatedMethod(T value); ```
- Regenerate the binding and verify the annotated declaration emits a lambda
while nearby unannotated declarations still emit full-signature casts.
- Re-run the failing compile target, relevant wrapper tests, and the full test
suite prescribed by the repository.
- Report each annotation and the concrete C++ signature mismatch that requires
it.
Use the py312 conda environment for Python commands in this workspace. In the standalone wrap repository, run focused pytest tests and then:
When working in an integrated build that provides the repository-prescribed target, run its make -j6 testXXX.run target with the required permissions.
Decision Rules
Annotate when the wrapper intentionally differs from C++, including:
- omitted underlying parameters with C++ defaults;
- wrapper values that bind to C++ references;
- synthetic value-returning interfaces such as
atorfrontover reference
returns;
- incompatible types or inherited/template declarations whose pointer signature
does not match the wrapper spelling.
Do not annotate merely because a callable is overloaded or templated. A full-signature cast selects an exact overload even when other overloads appear only in the C++ header. The generator also retains its existing automatic template-specialization and adapter cases.
Guardrails
- Annotate one callable declaration at a time; never annotate a class or file in
bulk.
- Do not add symbol-name lists, GTSAM-specific heuristics, or guessed mismatch
detection to wrap.
- Do not change declaration/binding order or type-registration behavior while
fixing an adapter compile failure.
- Preserve Python names, defaults, policies, docstrings, and overload exposure.
- Treat the marker as pybind-only. MATLAB output must remain unchanged.
- Remove no existing automatic lambdas unless the task explicitly changes their
semantics.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingwrap/.agents/skills/annotate-pybind-adapters/SKILL.md
Popularity
- Repository stars
- 3,721
- Repository forks
- 999
- 7-day trend score
- 41
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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