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GitHub 创作者资料

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按仓库查看 5 个 GitHub 仓库中的 57 个已收集 skills。

已收集 skills
57
仓库
5
更新
2026-07-20
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仓库与代表性 skills

dftracer-communication-optimization
软件开发工程师

Communication-component (MPI/collective/network) bottleneck-to-optimization mappings, papers, and L1/L2/L3 strategies for the dftracer optimization pipeline

2026-07-15
dftracer-compute-optimization
软件开发工程师

Compute-component bottleneck-to-optimization mappings, papers, and L1/L2/L3 strategies for the dftracer optimization pipeline

2026-07-15
dftracer-io-optimization
软件开发工程师

Key literature, bottleneck-to-optimization mappings, and strategies for the dftracer I/O optimization pipeline

2026-07-15
dftracer-memory-optimization
软件开发工程师

Memory-component bottleneck-to-optimization mappings, papers, and L1/L2/L3 strategies for the dftracer optimization pipeline

2026-07-15
workload-vpic-kokkos
软件开发工程师

VPIC-Kokkos-specific knowledge: build/annotation quirks, the two-stage deck-compile pattern, deck sizing for smoke vs validation runs, and the measured MPI-communication-bound diagnosis on Tuolumne. Load this skill whenever working with vpic-kokkos (github.com/lanl/vpic-kokkos).

2026-07-15
dftracer-build-dftracer
软件开发工程师

Install and build dftracer into the session using the MCP install tool and record tool pitfalls early.

2026-07-14
dftracer-diagnoser
软件开发工程师

Diagnose traces and convert symptoms into actionable bottlenecks with MCP tools.

2026-07-14
dftracer-optimization-kb
软件开发工程师

Cross-session, citation-backed knowledge base of every MEASURED dftracer optimization, partitioned into system-centric (L3), software-centric (L2), and workload-centric (L1) findings. Load this FIRST in any optimization loop to avoid re-deriving what is already known.

2026-07-14
当前展示该仓库 Top 8 / 43 个已收集 skills。
devs-address-pr-comments
软件开发工程师

Fetch and apply GitHub pull-request review comments locally, especially when the task includes reconciling new review traffic, following reply chains from specific reviewers/authors, and keeping a scratch notes file that maps comment IDs to fixes.

2026-06-25
sundials4py-userfn-wrapper
软件开发工程师

Generate nanobind C++ wrapper code for user-supplied callback functions in the sundials4py Python bindings. Use this skill whenever adding a new user-supplied function (callback) to any sundials4py submodule (arkode, cvodes, idas, kinsol, core/sundials), wrapping a C function-pointer-based API for Python, adding a `python` member to a SUNDIALS C struct that does not yet have one, or when a function cannot be autogenerated by litgen because it takes a function pointer argument. Also trigger when the user mentions "callback wrapper", "user_supplied_fn_caller", "BIND_ARKODE_CALLBACK", "BIND_CVODE_CALLBACK", "BIND_IDA_CALLBACK", "BIND_KINSOL_CALLBACK", or references any *_usersupplied.hpp or *_impl.h file in the context of Python bindings. If the user says something like "wrap this Set callback for Python", "add a new user function to cvodes", or "this object needs a python member for callbacks", this is the skill to use.

2026-04-18
building
软件开发工程师

Build, install, and test SUNDIALS from source as an end user or as a SUNDIALS developer. Use when a request involves configuring CMake, selecting compilers/options (MPI, GPU backends, Fortran), building/installing, running CTest, enabling dev/unit tests, or troubleshooting common build/test issues.

2026-04-02
new-module
软件开发工程师

Add a new SUNDIALS module (e.g., NVECTOR_*, SUNMATRIX_*, SUNLINSOL_*, SUNNONLINSOL_*, SUNMEMORY_*, or a new shared component) including source/header layout, CMake wiring, enable/disable options, exported CMake targets, installed component registration, and developer tests/examples/docs updates.

2026-04-02
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