Release
OvenMediaLabs/OvenPlayer
Release ovenplayer to npm — confirm the version, verify the committed dist/ bundle is current, write the release notes, and open a draft GitHub Release for the user to publish.
Establish MSBuild/.NET build performance baselines before optimizing.
$ npx skills add dotnet/skills --skill build-perf-baseline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install dotnet/skills build-perf-baseline --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/dotnet/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/dotnet-msbuild/skills/build-perf-baseline .claude/skills/build-perf-baseline && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "build-perf-baseline" agent skill from https://github.com/dotnet/skills/tree/main/plugins/dotnet-msbuild/skills/build-perf-baseline into .claude/skills/build-perf-baseline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "build-perf-baseline", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/dotnet/skills/tree/main/plugins/dotnet-msbuild/skills/build-perf-baselineType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add dotnet/skills --skill build-perf-baseline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install dotnet/skills build-perf-baseline --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dotnet/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/dotnet-msbuild/skills/build-perf-baseline .agents/skills/build-perf-baseline && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "build-perf-baseline" agent skill from https://github.com/dotnet/skills/tree/main/plugins/dotnet-msbuild/skills/build-perf-baseline into .agents/skills/build-perf-baseline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "build-perf-baseline", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add dotnet/skills --skill build-perf-baseline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install dotnet/skills build-perf-baseline --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dotnet/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/dotnet-msbuild/skills/build-perf-baseline .cursor/skills/build-perf-baseline && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "build-perf-baseline" agent skill from https://github.com/dotnet/skills/tree/main/plugins/dotnet-msbuild/skills/build-perf-baseline into .cursor/skills/build-perf-baseline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "build-perf-baseline", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/dotnet/skills.git --path plugins/dotnet-msbuild/skills/build-perf-baseline--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add dotnet/skills --skill build-perf-baseline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install dotnet/skills build-perf-baseline --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dotnet/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/dotnet-msbuild/skills/build-perf-baseline .gemini/skills/build-perf-baseline && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "build-perf-baseline" agent skill from https://github.com/dotnet/skills/tree/main/plugins/dotnet-msbuild/skills/build-perf-baseline into .gemini/skills/build-perf-baseline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "build-perf-baseline", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install dotnet/skills build-perf-baselineInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add dotnet/skills --skill build-perf-baseline -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/dotnet/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/dotnet-msbuild/skills/build-perf-baseline .github/skills/build-perf-baseline && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "build-perf-baseline" agent skill from https://github.com/dotnet/skills/tree/main/plugins/dotnet-msbuild/skills/build-perf-baseline into .github/skills/build-perf-baseline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "build-perf-baseline", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add dotnet/skills --skill build-perf-baseline -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install dotnet/skills build-perf-baseline --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dotnet/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/dotnet-msbuild/skills/build-perf-baseline .opencode/skills/build-perf-baseline && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "build-perf-baseline" agent skill from https://github.com/dotnet/skills/tree/main/plugins/dotnet-msbuild/skills/build-perf-baseline into .opencode/skills/build-perf-baseline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "build-perf-baseline", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
build-perf-baselineEstablish MSBuild/.NET build performance baselines before optimizing.
Build Perf Baseline is an agent skill from dotnet/skills, published by the product's own GitHub organization. Establish MSBuild/.NET build performance baselines before optimizing. USE FOR: a .NET build or solution that is slow or has build-performance concerns; cold, warm, incremental, or no-op measurements; before/after comparisons; CI build output caching; static graph build decisions; artifacts output; and dependency graph trimming. Start here before build-perf-diagnostics, incremental-build, or build-parallelism. DO NOT USE for webpack, npm, JavaScript bundlers, or other non-MSBuild build systems. For detailed…
Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Backend & APIs, covering Caching. It works with .NET, npm, webpack and JavaScript. The repository describes itself as: Repository for skills to assist AI coding agents with .NET and C. The licence is MIT.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit a660de8. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
dotnetFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Build Perf Baseline loads about 3.6k tokens when it runs. Until then it costs about 155 tokens; SKILL.md has 1,181 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from dotnet/skills at commit a660de8, republished under its MIT licence (© dotnet). 1,181 words, ~3,621 tokens.
.claude/skills/build-perf-baseline/SKILL.md (or your agent's skills folder).Before optimizing a build, you need a baseline. Without measurements, optimization is guesswork. This skill covers how to establish baselines and apply systematic optimization techniques.
Related skills:
build-perf-diagnostics — binlog-based bottleneck identificationincremental-build — Inputs/Outputs and up-to-date checksbuild-parallelism — parallel and graph build tuningeval-performance — glob and import chain optimizationMeasure three scenarios to understand where time is spent. Keep the SDK, configuration, machine, environment variables, restore state, and build command consistent. Run each scenario at least three times, repeating its setup before every measured sample, and report the median plus the observed range; a single timing is not a baseline. Keep setup outside the timed interval. Save each sample's binlog under a unique name, outside generated output directories.
No previous build output exists. Measures the full end-to-end time including restore, compilation, and all targets.
Before every cold sample, restore the same source state, run dotnet clean
with the measured configuration, and remove only the confirmed, disposable
output and intermediate directories for the measured projects. Include custom
artifact paths, not just bin and obj, and obtain approval before deletion.
Verify those outputs are absent before timing the next build.
This is an output-cold build, not necessarily a cold NuGet, OS, or compiler server cache. Choose and record a consistent cache/server policy for all samples; do not clear shared caches. If measuring uncached restore, use a separate, empty package cache for each sample.
# After repeating the cold setup; use a unique log name for each sample
dotnet build /bl:cold-build-1.binlog -mBuild output exists, some files have changed. Measures how well incremental build works.
Before every warm sample, restore the same baseline source contents and build successfully without timing it. Then apply the same small, build-relevant edit to the same source file and time the build. Keep the changed file set and edit identical across samples; do not let edits accumulate. Restore the baseline contents before the next sample and rebuild them outside the timed interval. Do not clean between that setup build and its measured build.
# Untimed setup after restoring baseline source contents
dotnet build -m
# Apply the same controlled source edit, then measure with a unique log name
dotnet build /bl:warm-build-1.binlog -mBuild output exists, nothing has changed. Compilation and correctly incremental targets should skip; compare timing with this build's other samples.
Before every no-op sample, restore the same baseline source contents and run an untimed setup build successfully. Then measure an identical build without edits, touching inputs, cleaning outputs, or changing properties. Keep restore and cache/server policy consistent with the other samples.
# Untimed setup after restoring baseline source contents
dotnet build -m
# Rebuild immediately without changes; use a unique log name for each sample
dotnet build /bl:noop-build-1.binlog -m| Scenario | Expected Behavior |
|---|---|
| Cold build | Full compilation, all targets run. This is your absolute baseline |
| Warm build | Only changed projects recompile. Time proportional to change scope |
| No-op build | Compilation and correctly incremental custom targets skip; compare duration with this repo's repeated warm and cold samples |
Red flags:
incremental-build)dotnet restore and dotnet build --no-restore separately before changing project structureDo not use universal duration or percentage thresholds to declare a bottleneck. Rank costs against the controlled samples and the build's own target/task timings.
A binlog shows compiler/task timing, but granular analyzer timing requires an analyzer-reporting run. When supported by the SDK/compiler, capture:
dotnet build /bl:analyzers.binlog /p:ReportAnalyzer=trueOpen the binlog in MSBuild Structured Log Viewer and inspect the analyzer
summary under the compiler task. If granular timing is unavailable, compare
otherwise identical samples with /p:RunAnalyzers=false as an attribution
experiment; do not present disabling analyzers as the fix. Preserve analyzer
enforcement in CI.
Record baselines in a structured way before and after optimization:
| Scenario | Before | After | Improvement |
|-------------|---------|---------|-------------|
| Cold build | 2m 15s | | |
| Warm build | 1m 40s | | |
| No-op build | 45s | | |The UseArtifactsOutput feature (introduced in .NET 8) changes the output directory structure to avoid bin/obj clash issues and enable better caching.
<!-- Directory.Build.props -->
<PropertyGroup>
<UseArtifactsOutput>true</UseArtifactsOutput>
</PropertyGroup># Traditional layout (before)
src/
MyLib/
bin/Debug/net8.0/MyLib.dll
obj/Debug/net8.0/...
MyApp/
bin/Debug/net8.0/MyApp.dll
# Artifacts layout (after)
artifacts/
bin/MyLib/debug/MyLib.dll
bin/MyApp/debug/MyApp.dll
obj/MyLib/debug/...
obj/MyApp/debug/...artifacts/ directory to cache/restore in CIartifacts/<!-- Change the artifacts root -->
<PropertyGroup>
<ArtifactsPath>$(MSBuildThisFileDirectory)output</ArtifactsPath>
</PropertyGroup>Deterministic builds produce byte-for-byte identical output given the same inputs. This is essential for build caching and reproducibility.
<!-- Directory.Build.props -->
<PropertyGroup>
<!-- Enabled by default in .NET SDK projects since SDK 2.0+ -->
<Deterministic>true</Deterministic>
<!-- For full reproducibility, also set: -->
<ContinuousIntegrationBuild Condition="'$(CI)' == 'true'">true</ContinuousIntegrationBuild>
</PropertyGroup>Reducing unnecessary project references shortens the critical path and reduces what gets built.
# Visualize the dependency graph
dotnet build /bl:graph.binlog
# In the binlog, check project references and build times
# Look for projects that are referenced but could be trimmed<!-- BAD: Utils is already referenced transitively via Core -->
<ItemGroup>
<ProjectReference Include="..\Core\Core.csproj" />
<ProjectReference Include="..\Utils\Utils.csproj" />
</ItemGroup>
<!-- GOOD: Let transitive references flow automatically -->
<ItemGroup>
<ProjectReference Include="..\Core\Core.csproj" />
</ItemGroup>When you need a project to build before yours but don't need its assembly output:
<!-- Only ensures build order, doesn't reference the output assembly -->
<ProjectReference Include="..\CodeGen\CodeGen.csproj"
ReferenceOutputAssembly="false" />When a dependency is an internal implementation detail that shouldn't flow to consumers:
<!-- Don't expose this dependency transitively -->
<ProjectReference Include="..\InternalHelpers\InternalHelpers.csproj"
PrivateAssets="all" />For explicit-only dependency management (extreme measure for very large repos):
<PropertyGroup>
<DisableTransitiveProjectReferences>true</DisableTransitiveProjectReferences>
</PropertyGroup>Caution: This requires all dependencies to be listed explicitly. Only use in large repos where transitive closure is causing excessive rebuilds.
/graph)Static graph mode evaluates the entire project graph before building, enabling better scheduling and isolation.
# Single invocation
dotnet build /graph
# With binary log for analysis
dotnet build /graph /bl:graph-build.binlog| Scenario | Recommendation |
|---|---|
| Large multi-project solution (20+ projects) | ✅ Try /graph — may see significant parallelism gains |
| Small solution (< 5 projects) | ❌ Overhead of graph evaluation outweighs benefits |
| CI builds | ✅ Graph builds are more predictable and parallelizable |
| Local development | ⚠️ Test both — may or may not help depending on project structure |
Graph build requires that all ProjectReference items are statically determinable (no dynamic references computed in targets). If graph build fails:
error MSB4260: Project reference "..." could not be resolved with static graph.Fix: Ensure all ProjectReference items are declared in <ItemGroup> outside of targets (not dynamically computed inside <Target> blocks).
# Use all available cores (default in dotnet build)
dotnet build -m
# Specify explicit core count (useful for CI with shared agents)
dotnet build -m:4
# MSBuild.exe syntax
msbuild /m:8 MySolution.slnIn a binlog, look for:
Use grep 'Target Performance Summary' -A 30 full.log in binlog analysis to see build node utilization.
The critical path is the longest chain of dependent projects. To shorten it:
ReferenceOutputAssembly="false" for build-order-only dependencies# In CI, restore once then build without restore
dotnet restore
dotnet build --no-restore -m
dotnet test --no-build# Skip building documentation
dotnet build /p:GenerateDocumentationFile=false
# Attribution experiment only: compare against the same build with analyzers
dotnet build /p:RunAnalyzers=falseUse these switches to measure contribution before changing configuration.
Do not recommend permanently disabling analyzers from this baseline step;
route measured analyzer bottlenecks to build-perf-diagnostics and preserve
CI enforcement.
# Build only the project you're working on (and its dependencies)
dotnet build src/MyApp/MyApp.csproj
# Don't build the entire solution if you only need one projectAlways start with a binlog:
dotnet build /bl:perf.binlog -mThen use the build-perf-diagnostics skill and binlog tools for systematic bottleneck identification.
Is your repeated no-op build disproportionately close to warm/cold samples,
or are compile/custom targets rerunning?
├── YES → See `incremental-build` skill (inspect Inputs/Outputs and skip reasons)
└── NO
Is your cold build slow?
├── YES
│ Is restore slow?
│ ├── YES → Optimize NuGet restore (use lock files, configure local cache)
│ └── NO
│ Is compilation slow?
│ ├── YES
│ │ Are analyzers/generators slow?
│ │ ├── YES → See `build-perf-diagnostics` skill
│ │ └── NO → Check parallelism, graph build, critical path (this skill + `build-parallelism`)
│ └── NO → Check custom targets (binlog analysis via `build-perf-diagnostics`)
└── NO
Is your warm build slow?
├── YES → Projects rebuilding unnecessarily → check `incremental-build` skill
└── NO → Baseline is healthy; adopt graph build or UseArtifactsOutput only for a measured need© dotnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in plugins/dotnet-msbuild/skills/build-perf-baseline of dotnet/skills.
Open the folder on GitHubat commit a660de8
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in dotnet/skills, which our catalogue first saw on October 7, 2026.
Build Perf Baseline next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Build Perf Baseline this skilldotnet/skills | 5.6k | 1 repos | ~3.6k | Automated safety check: Pass | MIT | |
| ReleaseOvenMediaLabs/OvenPlayer | 592 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Corvus Typescript Evaluatorcorvus-dotnet/Corvus.JsonSchema | 199 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Stylelintmanagedcode/dotnet-skills | 486 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Eslintmanagedcode/dotnet-skills | 486 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Htmlhintmanagedcode/dotnet-skills | 486 | — | ~1.2k | Automated safety check: Pass | MIT |
OvenMediaLabs/OvenPlayer
Release ovenplayer to npm — confirm the version, verify the committed dist/ bundle is current, write the release notes, and open a draft GitHub Release for the user to publish.
corvus-dotnet/Corvus.JsonSchema
Work on the TypeScript port of the V5 standalone schema evaluator (src-ts/corvus-json-schema, npm package @corvus-dotnet/json-schema): loader, compiler, JavaScript code generator, results collector…
managedcode/dotnet-skills
Use Stylelint in .NET repositories that ship CSS, SCSS, or other stylesheet assets alongside web frontends.
managedcode/dotnet-skills
Use ESLint in .NET repositories that ship JavaScript, TypeScript, React, or other Node-based frontend assets.
managedcode/dotnet-skills
Use HTMLHint in .NET repositories that ship static HTML output or standalone frontend templates.
managedcode/dotnet-skills
Use webhint in .NET repositories that ship browser-facing frontends.
dotnet/skills
Resolves .NET runtime frames in Apple .ips crash logs to function names, source files and line numbers using dSYM symbols, atos and the Microsoft symbol server.
dotnet/skills
Resolves native crash frames from .NET Android tombstones to function names, source files and line numbers using BuildIds, Microsoft's symbol server and llvm-symbolizer.
dotnet/skills
Scans C# and .NET code for about 50 performance anti-patterns and reports prioritized findings with concrete fixes, at a scan depth you choose.
dotnet/skills
Statically pairs source files with test files to list code that no test references, using Roslyn for C# or tree-sitter for many languages, with no build.
dotnet/skills
Activate this skill when BenchmarkDotNet (BDN) is involved in the task — creating, running, configuring, or reviewing BDN benchmarks.
dotnet/skills
Makes .NET projects compatible with Native AOT and trimming by resolving IL trim and AOT analyzer warnings through annotations rather than suppressions.
Works with
Categories
Establish MSBuild/.NET build performance baselines before optimizing. Build Perf Baseline is an agent skill from dotnet/skills, published by the product's own GitHub organization.NET build performance baselines before optimizing.
Build Perf Baseline fits situations like: solution that is slow; has build-performance concerns; no-op measurements; before/after comparisons.
Run `npx skills add dotnet/skills --skill build-perf-baseline -a claude-code`. Or copy the skill folder (plugins/dotnet-msbuild/skills/build-perf-baseline in dotnet/skills) into .claude/skills/build-perf-baseline in your project. Claude Code loads it when a task matches its description.
Run `npx skills add dotnet/skills --skill build-perf-baseline -a codex`. Or copy the skill folder (plugins/dotnet-msbuild/skills/build-perf-baseline in dotnet/skills) into .agents/skills/build-perf-baseline in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add dotnet/skills --skill build-perf-baseline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/build-perf-baseline, .gemini/skills/build-perf-baseline, .github/skills/build-perf-baseline and .opencode/skills/build-perf-baseline in your project.
Going by SKILL.md and its folder, Build Perf Baseline needs the command-line tools its instructions call (dotnet).
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Build Perf Baseline is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Build Perf Baseline: Release (OvenMediaLabs/OvenPlayer, 592 stars), Corvus Typescript Evaluator (corvus-dotnet/Corvus.JsonSchema, 199 stars), Stylelint (managedcode/dotnet-skills, 486 stars) and Eslint (managedcode/dotnet-skills, 486 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
dotnet (a GitHub organization, an official publisher) maintains it in dotnet/skills, which has 5,576 GitHub stars. The repository holds 91 skills in this directory. The repository was last updated on October 8, 2026.
Source: dotnet/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.