Statistical Power
spacering-net/codeg
Sample-size and statistical power calculations for planning studies.
Agent skill
A skill your agent uses when targeting Conference on Uncertainty in Artificial Intelligence (UAI) or deciding whether a computer-science manuscript fits this venue.
$ npx skills add franklee16/academic-research-skills --skill uncertainty-in-artificial-intelligence -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install franklee16/academic-research-skills uncertainty-in-artificial-intelligence --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/franklee16/academic-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/uncertainty-in-artificial-intelligence .claude/skills/uncertainty-in-artificial-intelligence && 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 "uncertainty-in-artificial-intelligence" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/uncertainty-in-artificial-intelligence into .claude/skills/uncertainty-in-artificial-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uncertainty-in-artificial-intelligence", 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/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/uncertainty-in-artificial-intelligenceType 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 franklee16/academic-research-skills --skill uncertainty-in-artificial-intelligence -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install franklee16/academic-research-skills uncertainty-in-artificial-intelligence --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/uncertainty-in-artificial-intelligence .agents/skills/uncertainty-in-artificial-intelligence && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "uncertainty-in-artificial-intelligence" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/uncertainty-in-artificial-intelligence into .agents/skills/uncertainty-in-artificial-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uncertainty-in-artificial-intelligence", 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 franklee16/academic-research-skills --skill uncertainty-in-artificial-intelligence -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install franklee16/academic-research-skills uncertainty-in-artificial-intelligence --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/uncertainty-in-artificial-intelligence .cursor/skills/uncertainty-in-artificial-intelligence && 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 "uncertainty-in-artificial-intelligence" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/uncertainty-in-artificial-intelligence into .cursor/skills/uncertainty-in-artificial-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uncertainty-in-artificial-intelligence", 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/franklee16/academic-research-skills.git --path Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/uncertainty-in-artificial-intelligence--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 franklee16/academic-research-skills --skill uncertainty-in-artificial-intelligence -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install franklee16/academic-research-skills uncertainty-in-artificial-intelligence --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/uncertainty-in-artificial-intelligence .gemini/skills/uncertainty-in-artificial-intelligence && 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 "uncertainty-in-artificial-intelligence" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/uncertainty-in-artificial-intelligence into .gemini/skills/uncertainty-in-artificial-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uncertainty-in-artificial-intelligence", 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 franklee16/academic-research-skills uncertainty-in-artificial-intelligenceInstalls 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 franklee16/academic-research-skills --skill uncertainty-in-artificial-intelligence -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/uncertainty-in-artificial-intelligence .github/skills/uncertainty-in-artificial-intelligence && 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 "uncertainty-in-artificial-intelligence" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/uncertainty-in-artificial-intelligence into .github/skills/uncertainty-in-artificial-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uncertainty-in-artificial-intelligence", 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 franklee16/academic-research-skills --skill uncertainty-in-artificial-intelligence -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install franklee16/academic-research-skills uncertainty-in-artificial-intelligence --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/uncertainty-in-artificial-intelligence .opencode/skills/uncertainty-in-artificial-intelligence && 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 "uncertainty-in-artificial-intelligence" agent skill from https://github.com/franklee16/academic-research-skills/tree/master/Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/uncertainty-in-artificial-intelligence into .opencode/skills/uncertainty-in-artificial-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uncertainty-in-artificial-intelligence", 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.
uncertainty-in-artificial-intelligenceA skill your agent uses when targeting Conference on Uncertainty in Artificial Intelligence (UAI) or deciding whether a computer-science manuscript fits this venue.
Uncertainty In Artificial Intelligence is an agent skill from franklee16/academic-research-skills. Use when targeting Conference on Uncertainty in Artificial Intelligence (UAI) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for AI statistics.
Its SKILL.md is about 2k 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 Data & Analytics, covering Statistics. The repository describes itself as: Comprehensive collection of Claude Code skills for academic research in economics, finance, and social sciences.
Read from SKILL.md and the folder at commit 9a4b2db. 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.
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.
Links to these hosts (documentation or services it may open):
auai.orgFrom 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.
Uncertainty In Artificial Intelligence loads about 2k tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 863 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 863 words (~1,954 tokens).
“Conference on Uncertainty in Artificial Intelligence (UAI) is a top computer-science conference venue for probabilistic reasoning, graphical models, causal inference, decision making under uncertainty, and calibrated ML. It rewards a paper where uncertainty modeling is the contribution rather than an…”
Just SKILL.md in Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/uncertainty-in-artificial-intelligence of franklee16/academic-research-skills.
Open the folder on GitHubat commit 9a4b2db
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in franklee16/academic-research-skills, which our catalogue first saw on October 7, 2026.
Uncertainty In Artificial Intelligence 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 |
|---|---|---|---|---|---|---|
| Uncertainty In Artificial Intelligence this skillfranklee16/academic-research-skills | 223 | 1 repos | ~2k | Automated safety check: Pass | None | |
| Statistical Powerspacering-net/codeg | 3.9k | 1 repos | ~3.6k | Automated safety check: Notes | MIT | |
| Statistical Data Analysislingzhi227/agent-research-skills | 390 | — | ~886 | Automated safety check: Pass | None | |
| Q-EDA Exploratory AnalysisTyrealQ/q-skills | 108 | — | ~1.1k | Automated safety check: Pass | MIT | |
| RoundingRConsortium/pharma-skills | 120 | — | ~3.8k | Automated safety check: Pass | MIT | |
| PyMC Bayesian Modelingdavila7/claude-code-templates | 33k | 11 repos | ~3.9k | Automated safety check: Pass | MIT |
spacering-net/codeg
Sample-size and statistical power calculations for planning studies.
lingzhi227/agent-research-skills
Writes statistical analysis code for experimental data, runs it through a four-round review, and reports effect sizes, p-values and confidence intervals.
TyrealQ/q-skills
Runs exploratory data analysis on tabular data after you confirm each column's measurement level, then writes CSV tables and a narrative summary.
RConsortium/pharma-skills
Audit R code that prepares CSR/TLF statistics for SAS-compatible rounding compliance (ties away from zero, round-once-at-display, fixed trailing-zero precision).
davila7/claude-code-templates
Builds, fits, checks and compares Bayesian models in PyMC, from priors and NUTS sampling to variational inference, LOO and WAIC comparison, and diagnostics.
ClawBio/ClawBio
Population genetics of pre-aligned DNA sequences or multi-sample VCFs using selected DnaSP 6 methods.
franklee16/academic-research-skills
End-to-end econometric analysis and economics/management paper-writing workflow.
franklee16/academic-research-skills
Comprehensive workflow for handling journal Revise and Resubmit (R&R) decisions.
franklee16/academic-research-skills
A skill your agent uses when researchers need Chinese academic prose translated into publication-oriented English or English manuscript paragraphs and complete sections polished for SCI, SSCI, or…
franklee16/academic-research-skills
Assess and monitor an ongoing research project's competitor landscape, novelty risk, and method/data opportunities from a proposal, paper, research question, data or method notes, or a suspected…
franklee16/academic-research-skills
Generate or fill in academic grant application forms (project statement, education plan, pathway to impact, references) using draft research material.
franklee16/academic-research-skills
A skill your agent uses when a user needs通用中文参考文献、GB/T 7714-style bibliography entries, Chinese academic reference formatting, or BibTeX completion from Chinese or English literature titles…
Categories
A skill your agent uses when targeting Conference on Uncertainty in Artificial Intelligence (UAI) or deciding whether a computer-science manuscript fits this venue. Uncertainty In Artificial Intelligence is an agent skill from franklee16/academic-research-skills. Use when targeting Conference on Uncertainty in Artificial Intelligence (UAI) or deciding whether a computer-science manuscript fits this venue.
Uncertainty In Artificial Intelligence fits situations like: targeting Conference on Uncertainty in Artificial Intelligence (UAI); deciding whether a computer-science manuscript fits this venue.
Run `npx skills add franklee16/academic-research-skills --skill uncertainty-in-artificial-intelligence -a claude-code`. Or copy the skill folder (Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/uncertainty-in-artificial-intelligence in franklee16/academic-research-skills) into .claude/skills/uncertainty-in-artificial-intelligence in your project. Claude Code loads it when a task matches its description.
Run `npx skills add franklee16/academic-research-skills --skill uncertainty-in-artificial-intelligence -a codex`. Or copy the skill folder (Awesome-Journal-Skills-main/Computer-Science-Conference-Skills/skills/uncertainty-in-artificial-intelligence in franklee16/academic-research-skills) into .agents/skills/uncertainty-in-artificial-intelligence 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 franklee16/academic-research-skills --skill uncertainty-in-artificial-intelligence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/uncertainty-in-artificial-intelligence, .gemini/skills/uncertainty-in-artificial-intelligence, .github/skills/uncertainty-in-artificial-intelligence and .opencode/skills/uncertainty-in-artificial-intelligence in your project.
SKILL.md names no scripts, command-line tools or credentials: Uncertainty In Artificial Intelligence is instructions for the agent only.
SKILL.md names 1 domain. As links in the text: auai.org. 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.
No licence was found for Uncertainty In Artificial Intelligence or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 2k tokens (SKILL.md is roughly 7.8k 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 Uncertainty In Artificial Intelligence: Statistical Power (spacering-net/codeg, 3.9k stars), Statistical Data Analysis (lingzhi227/agent-research-skills, 390 stars), Q-EDA Exploratory Analysis (TyrealQ/q-skills, 108 stars) and Rounding (RConsortium/pharma-skills, 120 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
franklee16 (a GitHub user) maintains it in franklee16/academic-research-skills, which has 223 GitHub stars. The repository holds 1,617 skills in this directory. The repository was last updated on September 18, 2026.
Source: franklee16/academic-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.