Warp Release Notes
NVIDIA/warp/.codex/skills/warp-release-notes
codingOfficial
Official Provider SkillView repo
Use when drafting GitHub release notes for a Warp feature or bugfix release from Towncrier fragments or a tagged final changelog.
Files7 files
SKILL.md294 lines
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Skill details
Versionv1.0.0
AuthorNVIDIA
Categorycoding
Skill IDNVIDIA/warp/.codex/skills/warp-release-notes
Files7 files
Related skills
Warp Changelog AuditUse when auditing and recovering Warp changelog fragments, finalizing a release changelog, or synchronizing a tagged release back to main.Warp Changelog AuditUse when auditing and recovering Warp changelog fragments, finalizing a release changelog, or synchronizing a tagged release back to main.Warp Closing IssueUse when the user provides Warp commit SHA(s) and GitHub issue number(s) to assess, draft issue comments, post progress updates, or recommend whether issue threads should stay open or close.Warp Closing IssueUse when the user provides Warp commit SHA(s) and GitHub issue number(s) to assess, draft issue comments, post progress updates, or recommend whether issue threads should stay open or close.Warp Compile Time OptimizerUse when compile time or startup time is the problem in code that uses Warp: a request to improve, optimize, or cut compile times; an app that is slow to start or stalls at the first wp.launch; seconds of compiling before real work begins; JIT modules recompiling on every run or every CI job. Only applies when the code being optimized uses Warp kernels. Not for steady-state kernel runtime, memory, correctness, building Warp itself from source, or nvcc/C++ build times.Warp Debug GradientsUse to diagnose and fix incorrect gradients in differentiable Warp programs. Anything trained, optimized, calibrated, or fit through Warp kernels depends on wp.Tape gradients, so treat any misbehavior of such a workflow as a gradient problem until proven otherwise — use this when training diverges or NaNs, won't train at all, stalls or plateaus above the expected loss, converges to a wrong or biased answer, is worse than a reference implementation, works at small scale but fails at production sc