Topics
ZimoLiao/scholaraio
A skill your agent uses when the user asks about research themes, topic distribution, BERTopic clustering, topic overview, topic papers, topic merges, or HTML topic visualizations.
A skill your agent uses when deciding whether a project belongs at ACM CHI, which of CHI's contribution types it makes, and which reviewing subcommittee should judge it — or whether the work is…
MITAuto-check passed
Install Chi Topic Selection
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill chi-topic-selection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills chi-topic-selection --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/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/CHI-Skills/skills/chi-topic-selection .claude/skills/chi-topic-selection && 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 "chi-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CHI-Skills/skills/chi-topic-selection into .claude/skills/chi-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chi-topic-selection", 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/brycewang-stanford/Awesome-Journal-Skills/tree/main/CHI-Skills/skills/chi-topic-selectionType 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 brycewang-stanford/Awesome-Journal-Skills --skill chi-topic-selection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills chi-topic-selection --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/CHI-Skills/skills/chi-topic-selection .agents/skills/chi-topic-selection && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "chi-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CHI-Skills/skills/chi-topic-selection into .agents/skills/chi-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chi-topic-selection", 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 brycewang-stanford/Awesome-Journal-Skills --skill chi-topic-selection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills chi-topic-selection --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/CHI-Skills/skills/chi-topic-selection .cursor/skills/chi-topic-selection && 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 "chi-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CHI-Skills/skills/chi-topic-selection into .cursor/skills/chi-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chi-topic-selection", 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/brycewang-stanford/Awesome-Journal-Skills.git --path CHI-Skills/skills/chi-topic-selection--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 brycewang-stanford/Awesome-Journal-Skills --skill chi-topic-selection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills chi-topic-selection --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/CHI-Skills/skills/chi-topic-selection .gemini/skills/chi-topic-selection && 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 "chi-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CHI-Skills/skills/chi-topic-selection into .gemini/skills/chi-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chi-topic-selection", 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 brycewang-stanford/Awesome-Journal-Skills chi-topic-selectionInstalls 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 brycewang-stanford/Awesome-Journal-Skills --skill chi-topic-selection -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/CHI-Skills/skills/chi-topic-selection .github/skills/chi-topic-selection && 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 "chi-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CHI-Skills/skills/chi-topic-selection into .github/skills/chi-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chi-topic-selection", 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 brycewang-stanford/Awesome-Journal-Skills --skill chi-topic-selection -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills chi-topic-selection --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/CHI-Skills/skills/chi-topic-selection .opencode/skills/chi-topic-selection && 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 "chi-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CHI-Skills/skills/chi-topic-selection into .opencode/skills/chi-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chi-topic-selection", 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.
Facts
- Skill name
chi-topic-selection- GitHub stars
- 1.2k
- Token cost
- ~1.5k tokens
- SKILL.md length
- 700 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when deciding whether a project belongs at ACM CHI, which of CHI's contribution types it makes, and which reviewing subcommittee should judge it — or whether the work is…
- Deciding whether a project belongs at ACM CHI
- SKILL.md covers Start with the human, not the…, Name the contribution type…, The subcommittee decision and When CHI is the wrong room, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Which of CHIs contribution types it makes
What it does
Chi Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project belongs at ACM CHI, which of CHI's contribution types it makes, and which reviewing subcommittee should judge it — or whether the work is better routed to UIST, CSCW, DIS, IUI, ASSETS, IMWUT, or TOCHI before any drafting starts.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.
When your agent uses it
- Deciding whether a project belongs at ACM CHI
- Which of CHIs contribution types it makes
- Which reviewing subcommittee should judge it —
- Whether the work is better routed to UIST
Example prompts
- “/chi-topic-selection”
What it can do on your machine
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Chi Topic Selection loads about 1.5k tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 700 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 700 words, ~1,519 tokens.
Download SKILL.mdSave it as
.claude/skills/chi-topic-selection/SKILL.md (or your agent's skills folder).- name
- chi-topic-selection
- description
- Use when deciding whether a project belongs at ACM CHI, which of CHI's contribution types it makes, and which reviewing subcommittee should judge it — or whether the work is better routed to UIST, CSCW, DIS, IUI, ASSETS, IMWUT, or TOCHI before any drafting starts.
CHI Topic Selection
CHI accepts almost every topic that touches people and computing, so "is this in scope?" is rarely the real question. The decisions that actually shape the outcome are: which contribution type is this paper, and which subcommittee should read it. Both are declared at submission time in PCS, and both are strategy, not paperwork — CHI 2026 rejected roughly three quarters of 6,730 completed submissions, and a large share of early rejections trace to papers pitched at the wrong reviewer community inside CHI itself.
Start with the human, not the system
Ask: who changes what they do because this paper exists? A designer picks a different pattern, a researcher runs a study differently, a developer builds an interface differently, a policy team understands a user population differently. If no answer survives scrutiny, the project is an engineering result wearing an HCI costume, and reviewers will say exactly that. A system with no study can still be CHI-worthy — but only when the system itself embodies a claim about interaction that others can build on.
Name the contribution type before the venue
CHI's own guidance enumerates the contribution types the conference publishes. Force the project into exactly one primary type; hybrids are fine but one must lead:
| Contribution type (CHI's list) | Typical evidence | Failure mode when mismatched |
|---|---|---|
| Interface artifacts or techniques | Prototype + comparative or usability study | Demo praised, knowledge contribution doubted |
| Understanding users (empirical) | Interviews, surveys, logs, field data | "Interesting but so what for design?" |
| Systems, tools, architectures | Working system + evaluation of enabled tasks | Judged as engineering, not research |
| Methodology | New method + validation against practice | "Who has actually used this method?" |
| Theory | Concepts/models grounded in literature | Read as an essay without operational value |
| Innovation, creativity, and vision | Provocations, envisionments | Dismissed unless framing is explicit |
| Argument | Well-supported position essay | Torn apart if evidence is thin anywhere |
| Validation and replication | Careful reproduction of prior findings | Undervalued unless framed as such |
Source: the "Contributions to CHI" pages carried across recent cycles (chi2026.acm.org/contributions-to-chi/, checked 2026-07-08).
The subcommittee decision
PCS asks you to designate up to two subcommittees, and the official guidance recommends naming two. In the vast majority of cases one of your two choices reviews the paper; chairs may transfer it only when another subcommittee would clearly review it more thoroughly. Practical consequences:
- The subcommittee determines your 1AC, 2AC, and reviewer pool — effectively your jury. A quantitative-methods paper sent to a design-led subcommittee gets design criticism, and vice versa.
- Read the current cycle's "Selecting a Subcommittee" page and match against the posted scope sentences, not the subcommittee titles. The CHI 2027 list was not yet posted at check time (待核实); the CHI 2026 list is the working draft of what to expect.
- Pick the second subcommittee as a genuine alternative reading of the paper, not a duplicate of the first.
Subcommittee fit test (run per candidate subcommittee):
1. Do ≥3 papers you cite belong to this community? yes / no
2. Would its typical reviewer accept your method as rigorous
*by that community's standards*? yes / no
3. Does your contribution statement use that community's
vocabulary without translation? yes / no
3× yes = designate. 2 = possible second choice. ≤1 = do not list it.Show full SKILL.md (233 more words)Show less
When CHI is the wrong room
| Center of gravity | Better first target |
|---|---|
| Novel interaction technique, engineering depth, no broad user claim | UIST |
| Collaboration, communities, social platforms as the object | CSCW |
| The designed artifact and design process as the contribution | DIS |
| Intelligence in the interface (recommenders, adaptive UI) | IUI |
| Disability and accessible technology for a specialist audience | ASSETS |
| Sensing, wearables, continuous field deployment | IMWUT / UbiComp |
| Contribution needs 15,000+ words or journal-depth theory | TOCHI, IJHCS |
CHI remains right when the audience is the broad HCI community: the paper's lesson should matter to people who will never build your exact system. Note the calendar asymmetry: CHI runs one cycle per year (papers due early September), so a missed fit costs twelve months — the sibling venues above fill the gap between cycles.
Anti-signals before you commit a year
- Your related-work section cites no CHI, CSCW, UIST, or TOCHI work — you are writing for a community you have not read. (Insufficient contextualization, "ADR-Context," was the most-cited assisted desk-reject reason at CHI 2026.)
- The user study exists to decorate a systems result you would publish anyway.
- The contribution is real but 5,000 words would carry it — that is not a defect (short papers are welcome), but plan the paper as short instead of inflating it.
- Every plausible reviewer you can imagine works in one narrow specialty — a specialist venue will review it better and cite it more.
Output format
[Human stake] who changes what: <one sentence>
[Contribution type] primary: <type> / secondary: <type or none>
[Subcommittee designations] 1st: <name + fit-test score> / 2nd: <name + score>
[Venue verdict] CHI-first / CHI-viable / route to <UIST|CSCW|DIS|IUI|ASSETS|IMWUT|TOCHI>
[Length plan] short (<5k words) / standard (5-8k) / justify-longer
[Blocking gap] <the one thing to fix before drafting>© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in CHI-Skills/skills/chi-topic-selection of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Chi Topic Selection 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 |
|---|---|---|---|---|---|---|
| Chi Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.5k | Automated safety check: Pass | MIT | |
| TopicsZimoLiao/scholaraio | 576 | — | ~294 | Automated safety check: Pass | MIT | |
| Topic Modelingbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~3.7k | Automated safety check: Pass | Custom licence | |
| Acm Chi Conference On Human Factors In Computing Systemsfranklee16/academic-research-skills | 223 | 1 repos | ~2k | Automated safety check: Pass | None | |
| Acm Workshop On Hot Topics In Networksfranklee16/academic-research-skills | 223 | 1 repos | ~1.9k | Automated safety check: Pass | None | |
| Bestblogs Topicginobefun/BestBlogs | 4k | — | ~670 | Automated safety check: Pass | None |
Similar skills
Topic Modeling
brycewang-stanford/Auto-Empirical-Research-Skills
Structural topic modeling: STM spec, topic count, coherence-exclusivity.
Acm Chi Conference On Human Factors In Computing Systems
franklee16/academic-research-skills
A skill your agent uses when targeting ACM CHI Conference on Human Factors in Computing Systems (CHI) or deciding whether a computer-science manuscript fits this venue.
Acm Workshop On Hot Topics In Networks
franklee16/academic-research-skills
A skill your agent uses when targeting ACM Workshop on Hot Topics in Networks (HotNets) or deciding whether a computer-science manuscript fits this venue.
Bestblogs Topic
ginobefun/BestBlogs
A skill your agent uses when the user asks about a specific topic, subject area, or wants to explore curated topic pages on BestBlogs.
Zsxq Topic
itwanger/toBeBetterJavaer
知识星球主题管理：搜索主题、查看主题详情、发布帖子、编辑主题、发表评论、回复某条评论（楼中楼）、回答提问、删除主题；通过 api call 查看主题评论列表、设置精华、设置标签、查看自己提的问题与已回答记录。当用户需要查找内容、发帖、编辑主题、评论、回复评论、回答问题、删除主题、查看主题评论、查看自己的提问记录、或管理主题精华和标签时使用。
More from brycewang-stanford/Awesome-Journal-Skills
All 2,387 skills in this repoAaag Data Analysis
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…
Aaag Literature Positioning
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…
Aaag Rebuttal
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…
Aaag Research Design
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…
Aaag Review Process
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…
Aaag Submission
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…
Questions about Chi Topic Selection
What does Chi Topic Selection do?
A skill your agent uses when deciding whether a project belongs at ACM CHI, which of CHI's contribution types it makes, and which reviewing subcommittee should judge it — or whether the work is…. Chi Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project belongs at ACM CHI, which of CHI's contribution types it makes, and which reviewing subcommittee should judge it — or whether the work is better routed to UIST, CSCW, DIS, IUI, ASSETS, IMWUT, or TOCHI before any drafting starts.
When should I use Chi Topic Selection?
Chi Topic Selection fits situations like: deciding whether a project belongs at ACM CHI; which of CHIs contribution types it makes; which reviewing subcommittee should judge it —; whether the work is better routed to UIST.
How do I install Chi Topic Selection in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill chi-topic-selection -a claude-code`. Or copy the skill folder (CHI-Skills/skills/chi-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/chi-topic-selection in your project. Claude Code loads it when a task matches its description.
How do I install Chi Topic Selection in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill chi-topic-selection -a codex`. Or copy the skill folder (CHI-Skills/skills/chi-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/chi-topic-selection in your project. Codex loads it when a task matches its description.
Can I use Chi Topic Selection in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill chi-topic-selection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/chi-topic-selection, .gemini/skills/chi-topic-selection, .github/skills/chi-topic-selection and .opencode/skills/chi-topic-selection in your project.
What does Chi Topic Selection need to run?
SKILL.md names no scripts, command-line tools or credentials: Chi Topic Selection is instructions for the agent only.
Does Chi Topic Selection access the network?
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.
Is Chi Topic Selection safe to install?
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.
What licence does Chi Topic Selection use?
Chi Topic Selection is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Chi Topic Selection use?
About 1.5k tokens (SKILL.md is roughly 6.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Chi Topic Selection?
Skills that share tags, products or a category with Chi Topic Selection: Topics (ZimoLiao/scholaraio, 576 stars), Topic Modeling (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars), Acm Chi Conference On Human Factors In Computing Systems (franklee16/academic-research-skills, 223 stars) and Acm Workshop On Hot Topics In Networks (franklee16/academic-research-skills, 223 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Chi Topic Selection?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.