Craft Experiment Design
amplitude/builder-skills
Write a hypothesis, define success metrics, and plan a holdout strategy.
A skill your agent uses when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical significance, robustness, human evaluation…
Install Aaai Experiments
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaai-experiments -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aaai-experiments --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/AAAI-Skills/skills/aaai-experiments .claude/skills/aaai-experiments && 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 "aaai-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AAAI-Skills/skills/aaai-experiments into .claude/skills/aaai-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aaai-experiments", 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/AAAI-Skills/skills/aaai-experimentsType 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 aaai-experiments -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aaai-experiments --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/AAAI-Skills/skills/aaai-experiments .agents/skills/aaai-experiments && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aaai-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AAAI-Skills/skills/aaai-experiments into .agents/skills/aaai-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aaai-experiments", 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 aaai-experiments -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aaai-experiments --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/AAAI-Skills/skills/aaai-experiments .cursor/skills/aaai-experiments && 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 "aaai-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AAAI-Skills/skills/aaai-experiments into .cursor/skills/aaai-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aaai-experiments", 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 AAAI-Skills/skills/aaai-experiments--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 aaai-experiments -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aaai-experiments --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/AAAI-Skills/skills/aaai-experiments .gemini/skills/aaai-experiments && 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 "aaai-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AAAI-Skills/skills/aaai-experiments into .gemini/skills/aaai-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aaai-experiments", 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 aaai-experimentsInstalls 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 aaai-experiments -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/AAAI-Skills/skills/aaai-experiments .github/skills/aaai-experiments && 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 "aaai-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AAAI-Skills/skills/aaai-experiments into .github/skills/aaai-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aaai-experiments", 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 aaai-experiments -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 aaai-experiments --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/AAAI-Skills/skills/aaai-experiments .opencode/skills/aaai-experiments && 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 "aaai-experiments" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AAAI-Skills/skills/aaai-experiments into .opencode/skills/aaai-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aaai-experiments", 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
aaai-experiments- GitHub stars
- 1.2k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 583 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical significance, robustness, human evaluation…
- Auditing AAAI experiments for the broad-AI program committee
- SKILL.md covers Experiment audit, Claim-to-evidence ledger, AAAI-specific review pressure and Pre-rebuttal freeze rule, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Including baselines
What it does
Aaai Experiments is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical significance, robustness, human evaluation, AI-for-Social-Impact and alignment/safety evidence, compute and cost reporting, and reproducibility-checklist alignment for Phase-1 survival.
Its SKILL.md is about 1.3k 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 Research & Science, covering Reproducible research and A/B testing. 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
- Auditing AAAI experiments for the broad-AI program committee
- Including baselines
- Statistical significance
- Human evaluation
Example prompts
- “/aaai-experiments”
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
Aaai Experiments loads about 1.3k tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 583 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). 583 words, ~1,292 tokens.
Download SKILL.mdSave it as
.claude/skills/aaai-experiments/SKILL.md (or your agent's skills folder).- name
- aaai-experiments
- description
- Use when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical significance, robustness, human evaluation, AI-for-Social-Impact and alignment/safety evidence, compute and cost reporting, and reproducibility-checklist alignment for Phase-1 survival.
AAAI Experiments
Use this before submission to ensure empirical evidence supports the AI contribution. AAAI reviewers may come from adjacent AI subfields, so experiments must be interpretable beyond one benchmark community.
Experiment audit
- Map every experimental block to a claim in the introduction.
- Compare against strong, recent, and fairly tuned baselines.
- Include ablations that isolate mechanisms rather than removing multiple components at once.
- Report uncertainty, variance, and statistical tests when small differences matter.
- Test robustness to data split, prompt, seed, environment, user population, or distribution shift when relevant.
- For human evaluation, document task, instructions, annotator pool, quality control, aggregation, and ethics/IRB status.
- Report compute, hardware, data access, model size, and training/inference cost.
Claim-to-evidence ledger
Build this table before adding new experiments. It keeps the AAAI evidence package aligned with the main text and with the reproducibility checklist.
| Manuscript claim | Required evidence | Phase-1 risk if missing | Checklist hook |
|---|---|---|---|
| New AI capability | benchmark + qualitative failure cases | broad reviewer sees only engineering | datasets, metrics, baselines |
| Better mechanism | single-factor ablations | gain looks like tuning luck | ablation and hyperparameter answers |
| Robust deployment | shift / seed / subgroup stress test | result seems brittle | variance, compute, environment |
| Social-impact or safety claim | stakeholder, harm, and misuse analysis | ethical claim looks asserted | ethics, limitations, data access |
For each row, mark ready / weak / missing and name the fastest fix that can be run before the supplementary-material deadline. Do not leave a claim in the abstract if its evidence row is weak.
AAAI-specific review pressure
- Phase 1 reviewers need a fast reason to trust the evidence.
- The reproducibility checklist must match the experiment descriptions.
- AI for Social Impact and AI Alignment claims require stronger treatment of stakeholders, harms, risk mitigation, and scope.
- New results usually cannot rescue the paper in rebuttal, so submit complete evidence upfront.
- The AI-assisted review pilot is non-decisional, but it may surface checklist mismatches; make result provenance, seeds, data splits, and limits machine-readable enough that a human SPC/AC can quickly audit them.
Show full SKILL.md (260 more words)Show less
Pre-rebuttal freeze rule
Before submission, decide which experiments would be impossible to add later under AAAI's rebuttal constraints: missing baselines, missing seeds, missing supplement files, or missing reproducibility checklist answers. Treat those as pre-submission blockers, not rebuttal TODOs. The author response can explain and clarify submitted evidence; it should not depend on new results, URLs, or repaired supplementary files.
Evidence triage table
Because an AAAI reviewer from an adjacent subfield must trust your numbers quickly, classify each experimental block by how much weight it can bear and what would strengthen it.
| Block | Carries the claim when | Reviewer doubt | Cheap reinforcement |
|---|---|---|---|
| Headline benchmark | beats tuned recent baselines | "lucky seed" | seeds, variance bars |
| Ablation | isolates one mechanism | "joint removal" | single-factor toggles |
| Robustness | holds across split/shift | "one setting" | extra split or perturbation |
| Human eval | protocol is documented | "rater bias" | IRB note, inter-rater agreement |
Common AAAI experiment rejects
- Benchmark bump with no mechanism analysis, which a broad committee reads as engineering, not AI insight.
- Baselines weaker than current open-source systems, so the comparison looks unfair.
- A Social-Impact or alignment claim with no stakeholder, harm, or risk-mitigation evidence.
- Results that rely on a closed API with no reproducible substitute for the checklist.
Worked vignette
A planning paper reports a single-seed win on one domain. Audit: the headline block "needs robustness" and "needs variance", so the fix before the deadline is five seeds with confidence intervals plus one extra IPC-style domain. Because new results cannot rescue this in rebuttal, the team runs both before submission and aligns the checklist's seed answer to the supplement.
Output format
[Claim] <paper claim>
[Evidence status] sufficient / needs baseline / needs ablation / needs robustness / unclear
[Fairness issue] <compute, tuning, data, prompt, metric, human eval>
[Checklist dependency] <what checklist answer this supports>
[Pre-rebuttal blockers] <missing evidence that must be run before submission>
[Fast fix] <experiment or analysis feasible before deadline>© 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 AAAI-Skills/skills/aaai-experiments of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Aaai Experiments 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 |
|---|---|---|---|---|---|---|
| Aaai Experiments this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Craft Experiment Designamplitude/builder-skills | 159 | — | ~522 | Automated safety check: Pass | None | |
| Hypothesis Testerjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~2.6k | Automated safety check: Pass | MIT | |
| Modeling Strategy Guidewentorai/research-plugins | 298 | 1 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Experiment Designermohitagw15856/pm-claude-skills | 1.4k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT |
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Hypothesis Tester
jeremylongshore/tons-of-skills-marketplace
Structured hypothesis formulation, experiment design, and results interpretation for Product Managers.
Modeling Strategy Guide
wentorai/research-plugins
Strategic statistical modeling, experimentation, and causal inference
Experiment Designer
mohitagw15856/pm-claude-skills
Design statistically rigorous A/B tests and interpret experiment results.
Peer Review
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
Agent Research Aggregator
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Pre-pipeline aggregator that scans AI agent cache directories (.claude, .cursor, .antigravity, .openclaw) or any user-specified directory for experimentation logs, extracts insights and numeric…
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Questions about Aaai Experiments
What does Aaai Experiments do?
A skill your agent uses when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical significance, robustness, human evaluation…. Aaai Experiments is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical significance, robustness, human evaluation, AI-for-Social-Impact and alignment/safety evidence, compute and cost reporting, and reproducibility-checklist alignment for Phase-1 survival.
When should I use Aaai Experiments?
Aaai Experiments fits situations like: auditing AAAI experiments for the broad-AI program committee; including baselines; statistical significance; human evaluation.
How do I install Aaai Experiments in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaai-experiments -a claude-code`. Or copy the skill folder (AAAI-Skills/skills/aaai-experiments in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/aaai-experiments in your project. Claude Code loads it when a task matches its description.
How do I install Aaai Experiments in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaai-experiments -a codex`. Or copy the skill folder (AAAI-Skills/skills/aaai-experiments in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/aaai-experiments in your project. Codex loads it when a task matches its description.
Can I use Aaai Experiments 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 aaai-experiments -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aaai-experiments, .gemini/skills/aaai-experiments, .github/skills/aaai-experiments and .opencode/skills/aaai-experiments in your project.
What does Aaai Experiments need to run?
SKILL.md names no scripts, command-line tools or credentials: Aaai Experiments is instructions for the agent only.
Does Aaai Experiments 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 Aaai Experiments 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 Aaai Experiments use?
Aaai Experiments 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 Aaai Experiments use?
About 1.3k tokens (SKILL.md is roughly 5.2k 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 Aaai Experiments?
Skills that share tags, products or a category with Aaai Experiments: Craft Experiment Design (amplitude/builder-skills, 159 stars), Hypothesis Tester (jeremylongshore/tons-of-skills-marketplace, 2.8k stars), Modeling Strategy Guide (wentorai/research-plugins, 298 stars) and Experiment Designer (mohitagw15856/pm-claude-skills, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Aaai Experiments?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 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.