writing-voice
Skill4 starsChanged 16 days agoBSD-3-ClauseView on GitHub
Carl Boettiger's writing voice for grants, papers, reports, documentation and app text. Use whenever writing any title, heading or label for him, including strings inside code and config (app and page titles, tab names, chart titles and subtitles, legend and table labels, README headings, PR and commit titles), and whenever drafting or editing prose, topic sentences or captions. Plain noun-phrase headings with no commas, complete sentences, no AI-style slogans or headline formulas. Also covers how to frame his projects' infrastructure work.
10 other projects use a version of this.
Adopted by
Most recently taken up by
- unfoldingdimensions/humanised-ai-voicetheir own version, first seen Nov 8, 2026
- zi-yue-1129/research-lab-skillstheir own version, first seen Nov 1, 2026
- apoapostolov/humanizertheir own version, first seen Oct 9, 2026
- epicenter-md/epicentertheir own version, first seen Oct 8, 2026
- EpicenterHQ/epicentertheir own version, first seen Oct 8, 2026
- bharvey88/claude-code-setuptheir own version, first seen Oct 2, 2026
Other versions10 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 10
- epicenter-md/epicenter★ 4.8ksame name
- EpicenterHQ/epicenter★ 4.8ksame name
- apoapostolov/humanizer★ 9same name
- zi-yue-1129/research-lab-skills★ 9same name
- carlvellotti/codex-for-pms-skills-bonus★ 8same name
- tomimor/skills★ 2same name
- bharvey88/claude-code-setup★ 1same name
- DROOdotFOO/agent-skills★ 1same name
- bizzycore/ai-skills★ 0same name
- unfoldingdimensions/humanised-ai-voice★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository18 other files it gives its agents.
- boettiger-lab-stackSkill
- cng-datasetsSkill
- disclose-tool-useSkill
- duckdb-spatialSkill
- gdal-spatialSkill
- github-app-authSkill
- github-rulesetsSkill
- html-figuresSkill
- human-communication-consentSkill
- k8s-never-force-deleteSkill
- nrp-kubernetesSkill
- nrp-s3Skill
- oci-artifactsSkill
- pod-resourcesSkill
- python-envSkill
- reproducible-reportsSkill
- stacked-pr-squash-mergeSkill
- stac-navigationSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 10 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 32
Never slogans: "One question, two sites: what sets…", "The pipeline is the product", "Making the stack legible to …".
- Distinctive: line 74
Let the figures carry the framing: If a figure already shows two sites, the heading doesn't need to say "two sites".
- Distinctive: line 79
Infrastructure and curation are the product,: never an "up-front cost" or a caveat.
“Common” is measured: kept by at least 6 in 10 of the 10 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Writing in Carl's voice
Carl's verdict on typical Claude prose: "very very Claude … UGH … adds nothing." Write plainly so that the content carries the argument.
Headings and titles
These rules cover every title, not only document headings. A title inside a JSON config, an HTML page or a chart spec is still a title.
- No commas in a heading or title, and no colons or dashes except in the research-theme form below. A comma in a title is almost always a headline formula. If a title seems to need one, it holds two ideas: name one and move the other to a sentence below it.
- No parentheticals in a heading, title or label. Technical modifiers such as the source, dataset version, scenario, statistic or status ("(GMW, uncorrected)", "(SSP3-7.0)", "(mean)", "(provisional)", "(comparison)") go in the method text, the units, or a sentence below the title. Fold a modifier that matters into the noun phrase instead: "Threatened species richness (land, mean)" → "Mean threatened species richness on land".
- No headline formulas. These come from magazine and listicle headlines and read as
Claude at once:
- "X, ranked", "X, explained", "X, revisited", "X, at a glance", "X, by the numbers", "X, in brief";
- "X: the Y" and "X — Y" title-plus-tagline pairs;
- fragments that open with a preposition or a wh-word: "Against every basin at this level", "On the Montreux Record", "Where this basin ranks", "What the data show";
- rhetorical questions; only a genuine research question in a theme heading is allowed (see Themes below).
- Use the conventional name for a section: a short noun phrase, the term of art a reader expects. Prefer the funder's own section names.
- Good: "Background and significance", "Methods", "Capabilities and limitations", "Theme A. Connectivity", "Agentic data curation", "Spatial harmonization with H3", "Evaluation", "Partners", "Contact".
- Never slogans: "One question, two sites: what sets…", "The pipeline is the product", "Making the stack legible to …".
- No paraphrase headings. Technical writers call these statement or question headings, as opposed to topic headings: a clause that spells out what the section contains instead of naming it. They read as written by Claude.
- "What the app can and cannot do" → "Capabilities and limitations"
- "How we did this" → "Methods"
- "Who we work with" → "Partners"
- "Try an app powered by X" → "Applications"
- "Components you can use separately" → "Components"
- "Work with us" → "Contact"
- "The agent picks a tool" → "Tool calls"
- Applies to UI text too: labels, nav, buttons, step titles, form fields ("How can we help?" → "Message").
- No eyebrow labels repeating the heading (a small kicker above an h2 that says the same thing again).
- Themes may be stated as a substantive question in his voice, as in his NSF CAREER proposal: "Theme I. Ecological forecasting vs tipping points: can emerging methods improve our ability to understand and predict critical transitions?" A question is fine; a slogan is not.
- Roman-numeral or numbered sections, matching the solicitation's required structure.
- These rewrites come from the wetlands and coasts explorers:
- "Basins, ranked" → "Ranks by basin"
- "Against every basin at this level" → "Distribution across basins"
- "On the Montreux Record" → "Montreux Record sites"
- "Projected warming, 2041–2070 (SSP3-7.0)" → "Projected warming by 2041–2070"
- "Irrecoverable carbon, whole basin (comparison)" → "Irrecoverable carbon in the whole basin"
- "Biodiversity score (provisional)" → "Provisional biodiversity score"
- "Mangrove area 2025 (GMW, uncorrected)" → "Mangrove area in 2025"
- Check every title before finishing. List each heading, title and label you wrote, in prose and in code alike. Reject any with a comma, a parenthetical, any colon or dash outside a theme heading, any formula above, and any that is a clause rather than a name. Rewrite it as the plain noun phrase a reader would use to refer to the section.
Sentences
- Write in complete sentences. Subtitles, captions, notes, tooltips and help text are sentences with a subject and a verb, not fragments. "Each variable's value here, marked on the spread of all basins" → "The dot marks this basin's value on the spread of all basins."
- Topic sentences are plain declaratives in the first-person plural that state content. Before/after examples:
- "Agents propose, gates and people decide." → "No agent publishes on its own: agents propose changes, which validators and people approve."
- "Compute goes to the data, which is why…" → "Queries run on NRP alongside the data, so users do not download or re-process it."
- "Sustainment is designed in: …" → "Static cloud-native files are inexpensive to maintain, the tools are open source, and the procedures are documented in public repositories."
- Avoid these patterns:
- "X, not Y" and "not just X but Y" antitheses;
- colon taglines;
- aphorisms;
- rhetorical triplets;
- "the point is…";
- "here's the thing";
- words like "crucially", "simply" and "game-changing".
- Let the figures carry the framing. If a figure already shows two sites, the heading doesn't need to say "two sites".
- Figure titles and captions describe what is shown: "Time to answer three working-lands questions", not "Prepared once, every question is fast".
- Accessible to adjacent fields. Ecology framing should read clearly to computer scientists, and the reverse.
Framing his projects
- Infrastructure and curation are the product, never an "up-front cost" or a caveat. When comparing his stack (agent-curated, cloud-native data plus MCP services on NSF/NAIRR infrastructure) with a naive approach, say what the curation buys downstream.
- The science is big-picture, e.g. resilience, connectivity, disturbance. Acknowledge that "details matter and each system is different", then position the work as shared infrastructure that lets each researcher or manager pursue their own details at landscape scale. Do not promise to answer the science questions.
- Emphasize open foundations: NSF-supported infrastructure (NRP/NAIRR), open source, open standards and open-weight models, with broad access and no vendor lock-in.
- Mark unverified numbers [verify], and never invent citations. Fetch BibTeX by DOI and cite with pandoc
[@key].
Working drafts
- Outlines use bold topic sentences, each followed by 2–4 supporting bullets, so the argument reads from the bold lines alone.
- Prose comes later and keeps the same topic sentences.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

