Translating technical findings for non-technical audiences. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

Custom licenceAuto-check passedWriting & Content

Install Science Communication

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill science-communication -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills science-communication --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/science-communication .claude/skills/science-communication && rm -rf skills-src

Use ~/.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/

Facts

Skill name
science-communication
GitHub stars
4.6k
Token cost
~3.1k tokens
SKILL.md length
863 words
Files
7 (incl. references)
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

Translating technical findings for non-technical audiences. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

  • Works in 4 steps: Writing a report or brief? Start with… → Translating technical findings? Read… → Reviewing a draft? Go straight to… → …
  • Presenting to stakeholders
  • SKILL.md covers How to Use This Skill, Quick Decision Trees, The Communication Gap and Core Principles, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Science Communication is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Translating technical findings for non-technical audiences. Narrative frameworks (Pyramid Principle, SCQA), plain-language translation, executive summaries, policy briefs, causal language. Use when presenting to stakeholders or reviewing deliverables

Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/accessibility-equity.md`, `references/audience-analysis.md` and `references/communication-review.md`).

It sits in Writing & Content, covering Translation, Plain language and style rules and Summarization. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…

When your agent uses it

  • Presenting to stakeholders
  • Reviewing deliverables

Example prompts

  • “/science-communication”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Writing a report or brief? Start with audience-analysis.md, then narrative-frameworks.md, then deliverable-templates.md
  2. Translating technical findings? Read plain-language.md first
  3. Reviewing a draft? Go straight to communication-review.md
  4. Concerned about equity or accessibility? Read accessibility-equity.md

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. 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

Science Communication loads about 3.1k tokens when it runs, and up to ~31k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 863 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~3.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~31k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 863 words (~3,078 tokens).

“Translating technical data science findings for non-technical audiences. Covers audience analysis, narrative frameworks (Pyramid Principle, SCQA, AIDA), plain-language translation, executive summaries, policy briefs, causal language guidance, hedging and uncertainty communication, and accessibility standards. Complements data-scientist visualization references — handles what…”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
science-communication
metadata.audience
research-writers
metadata.domain
research-communication

Read the full SKILL.md on GitHub

Files

SKILL.md and 6 other files (references) in skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/science-communication of brycewang-stanford/Auto-Empirical-Research-Skills.

  • SKILL.md
  • references/accessibility-equity.md
  • references/audience-analysis.md
  • references/communication-review.md
  • references/deliverable-templates.md
  • references/narrative-frameworks.md
  • references/plain-language.md

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Science Communication 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.

Science Communication compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Science Communication this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~3.1kAutomated safety check: PassCustom licence
Plain English Translationzubair-trabzada/ai-legal-claude1.8k—~1.9kAutomated safety check: PassNone
Noob Modegithub/awesome-copilot40k1 repos~2.8kAutomated safety check: PassMIT
Reminddavidondrej/skills4.1k—~266Automated safety check: PassMIT
Omh Content Operatorrlaope/oh-my-hermes3.2k—~1.9kAutomated safety check: PassMIT
Reportkv0906/pm-kit138—~1.7kAutomated safety check: NotesMIT

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Questions about Science Communication

What does Science Communication do?

Translating technical findings for non-technical audiences. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Science Communication is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Translating technical findings for non-technical audiences.

When should I use Science Communication?

Science Communication fits situations like: presenting to stakeholders; reviewing deliverables.

How do I install Science Communication in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill science-communication -a claude-code`. Or copy the skill folder (skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/science-communication in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/science-communication in your project. Claude Code loads it when a task matches its description.

How do I install Science Communication in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill science-communication -a codex`. Or copy the skill folder (skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/science-communication in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/science-communication in your project. Codex loads it when a task matches its description.

Can I use Science Communication 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/Auto-Empirical-Research-Skills --skill science-communication -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/science-communication, .gemini/skills/science-communication, .github/skills/science-communication and .opencode/skills/science-communication in your project.

What does Science Communication need to run?

SKILL.md names no scripts, command-line tools or credentials: Science Communication is instructions for the agent only.

Does Science Communication 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 Science Communication 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 Science Communication use?

Science Communication has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Science Communication use?

About 3.1k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 28k tokens, read only when the agent opens those files.

What are the alternatives to Science Communication?

Skills that share tags, products or a category with Science Communication: Plain English Translation (zubair-trabzada/ai-legal-claude, 1.8k stars), Noob Mode (github/awesome-copilot, 40k stars), Remind (davidondrej/skills, 4.1k stars) and Omh Content Operator (rlaope/oh-my-hermes, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Science Communication?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,556 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.

Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.