benchmark-update

name	benchmark-update
description	Create or update a competitive benchmark page (docs/benchmark.md) comparing the current project against alternatives in the same space. Checks maintenance status, feature accuracy, new candidates, and badge health.
compatibility	Designed for Claude Code. Recommended model: Opus.
allowed-tools	Bash Read Grep Glob WebFetch WebSearch Agent
argument-hint	[audit|init|add <project>|refresh-badges]

Context

![ -f pyproject.toml ] && grep '^name' pyproject.toml | head -1 || echo "No pyproject.toml" ![ -f docs/benchmark.md ] && head -15 docs/benchmark.md || echo "No docs/benchmark.md yet" ![ -f docs/benchmark.md ] && grep -c '^|' docs/benchmark.md || echo 0 ![ -f CLAUDE.md ] && grep -i 'ordering\|benchmark\|comparison' CLAUDE.md | head -5 || echo "No ordering conventions found"

Instructions

You create and maintain docs/benchmark.md, a competitive benchmark page comparing the current project against alternatives in the same space. The page follows a standard template with feature tables, GitHub activity badges, popularity charts, distribution info, and metadata.

Reference examples

Fetch these files as reference when building or auditing a benchmark page:

• kdeldycke/meta-package-manager/docs/benchmark.md: package manager comparison with features, operations, OS support, distribution, activity, popularity, and metadata tables.
• kdeldycke/click-extra/docs/benchmark.md: CLI framework comparison with DX/UX feature tables, parser flag scoping, unique strengths, gaps with upstream issue references, and an "Excluded frameworks" section.

Scope selection

• audit (default): Run all checks on an existing benchmark page and report findings. Do not edit unless the user confirms.
• init: Create a benchmark page from scratch. Research competitors, build feature tables, and populate all sections.
• add <project>: Research a specific project and add it to all tables in the correct position.
• refresh-badges: Verify all badge URLs resolve. Fix broken ones (repos that moved, renamed packages).

Column ordering convention

If CLAUDE.md defines a benchmark ordering convention, follow it. Otherwise, place the current project first, its direct dependencies/foundation second, then remaining projects sorted by GitHub stars (descending).

Creating a benchmark from scratch (init)

1. Identify the project and its domain

Read pyproject.toml for the project name, description, and keywords. Determine what category of software this project is (CLI framework, package manager, static site generator, linter, etc.).

2. Discover competitors

Search for alternatives in the same space:

• Search GitHub: gh search repos "<domain keywords>" --sort stars --limit 30
• Search PyPI and other registries for similar tools.
• Check "awesome" lists on GitHub.
• Look at the project's own README or docs for mentions of alternatives.

For each candidate, collect: name, GitHub owner/repo, approximate star count, one-line description, and language/ecosystem.

Present the candidates and ask the user which to include.

3. Research features

For each included project, research its feature set by reading its documentation, README, and changelog. Build comparison tables relevant to the domain. Common table categories:

• Features: core capabilities, grouped by audience (developer experience vs. end-user experience) when applicable.
• Activity: GitHub badges (watchers, contributors, commit activity, commits since latest release, last release date, last commit, open issues, open PRs, forks, dependencies freshness).
• Popularity: star history chart + badges (stars, SourceRank, dependent repos).
• Distribution: package registry badges (PyPI, crates.io, npm, Homebrew, etc.) as applicable.
• Metadata: license, main language, latest version, benchmark date.

Use ✓ for supported features, ~ for basic/partial support, empty for unsupported, N/A where not applicable.

4. Gap analysis

After building the feature tables, analyze them to identify:

• Unique strengths: features where this project leads or is the only one offering the capability. Summarize each with a brief explanation of why it matters.
• Gaps and opportunities: features where competitors lead and this project could improve. For each gap:
  • Search the project's primary upstream dependency (if any) for related open issues and PRs using gh issue list --repo <upstream> --search "<feature>" --state open.
  • Link to specific upstream issues with their number, title, and demand signals (thumbs-up count, comment count).
  • Note whether upstream has declined the feature, has a pending PR, or has never been asked.
  • Describe what this project could do to close the gap (override, extend, integrate a third-party package, etc.).

This analysis turns the benchmark from a static comparison into an actionable roadmap.

5. Build the page

Follow this template structure:

# {octicon}`trophy` Benchmark

<intro paragraph about why this comparison exists>

## <Feature category 1>

<legend if needed>

| Feature | `this-project` | `competitor-1`[^1] | ... |
| ... | :---: | :---: | ... |

<brief prose highlighting key differences>

## <Feature category 2>

...

## Unique strengths

<bullet list of features where this project leads, with brief explanations>

## Gaps and opportunities

### <Gap title>

<description of the gap, with links     `[/#]()`   >





...



| Metrics |  | [^1] | ... |
(GitHub badge rows: watchers, contributors, commit activity, etc.)



![]()



| Metrics |  | [^1] | ... |
(Stars, SourceRank, Dependent repos)



| Registry |  | [^1] | ... |
(PyPI, crates.io, npm, Homebrew downloads)



| Metadata |  | [^1] | ... |
(License, main language, latest version, benchmark date)







[]: []()

Badge format follows shields.io conventions: ![GitHub](https://img.shields.io/github/<metric>/<owner>/<repo>?label=%20&style=flat-square) for compact badges with no label text.

Star history chart: render it locally, never as a third-party embed. GitHub restricted its stargazer endpoints to a repository's own admins in June 2026, so api.star-history.com and every equivalent service now answer with an error card, and no export can be obtained for a repository the visitor does not own. repomatic sample-metrics accrues the counts into a committed CSV and draws them as a themeable SVG: declare the projects in [tool.repomatic.metrics] subjects, declare a chart in [tool.repomatic.metrics] charts, and reference that chart's output path from this section. A comparison spanning projects of very different sizes wants scale = "logarithmic", and one comparing trajectories rather than dates wants mode = "relative".

Peers sampled from today carry only two points, their creation date and the first reading, so a chart drawn early states a straight line between them. That is worth saying in a sentence under the chart rather than hiding, since the history accrues weekly and cannot be backdated.

Auditing an existing benchmark (audit)

1. Maintenance status check

For each project in the benchmark, check via gh api:

• Last commit date on the default branch.
• Last GitHub release date.
• Whether the repo is archived.
• Any deprecation or sunsetting announcements in recent issues.

Classify each as: active, slow but maintained, stale (no activity in 12+ months), or abandoned/archived.

Stale or abandoned projects should be moved to the "Excluded projects" section with a {note} admonition explaining why.

2. Feature matrix accuracy

For each feature row, spot-check 2-3 projects against their current documentation or changelog. Flag cells that look wrong (features added or removed since the benchmark was written).

3. Gap analysis freshness

For each item in "Gaps and opportunities", check whether the linked upstream issues have changed status:

• Closed issues: the gap may have been addressed upstream or in this project. Verify and update.
• New upstream PRs: a fix may be in progress.
• Features this project has since implemented: the gap should be removed and the feature moved to "Unique strengths" or the feature table updated.

Also check whether new gaps have appeared (competitors added features this project lacks).

4. New candidates

Search for projects in the same space with significant GitHub stars not already in the benchmark. Report candidates with: name, GitHub repo, stars, one-line description, and maintenance status.

5. Badge health

Verify the GitHub owner/repo in badge URLs matches the current canonical location. Repos get transferred. Check via gh api repos/{owner}/{repo} --jq '.full_name'.

6. Star history chart

Check the chart is a locally rendered asset rather than a third-party embed, which has served an error card since GitHub restricted stargazer access in June 2026. Then check [tool.repomatic.metrics] subjects lists every project the page still compares and none it has excluded, since that one list feeds both the chart and the weekly sampler.

Adding a project (add)

1. Research its features against every row in the existing feature tables.
2. Determine the correct column position per the ordering convention.
3. Add it to every table (features, activity, popularity, distribution, metadata).
4. Add a footnote with the project URL.
5. Add it to the star history chart URL.

Output format

For audit, produce a summary table:

Project	Status	Issues found
...	active / stale / ...	badge broken / feature changed / ...

Then list recommended actions. Do not edit the file until the user confirms.

Cross-referencing with docs/upstream.md

The gap analysis surfaces upstream issues and PRs that overlap with what docs/upstream.md tracks. When the benchmark discovers new upstream issues (reported, workaround in place, declined, or fixed), check whether they belong in docs/upstream.md too. Suggest running /upstream-audit sync-git afterward if new references were added to the benchmark.