chi-experiments
From the author
Use when designing or auditing the studies behind an ACM CHI paper — matching evidence shape to contribution type, powering quantitative experiments, making qualitative work rigorous and auditable, reporting participants and ethics properly, and avoiding the ADR-Data and ADR-Method screening grounds.
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill chi-experiments -a claude-code
Installs to .claude/skills/chi-experiments/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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Why 88
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Similar skills
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- hri-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the human-subjects study at the heart of an ACM/IEEE HRI full paper — choosing between/within-subjects designs, running Wizard-of-Oz honestly, powering the sample, reporting statistics with effect sizes and qualitative rigor, selecting validated scales, adding manipulation checks, pre-registering, and meeting HRI's human-participants ethics obligations.Science★ 1.3K
- acl-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing experiments for an ACL paper, covering tuned LLM baselines, multi-dataset and multilingual evaluation, statistical significance and variance, human evaluation with agreement reporting, contamination and prompt-sensitivity controls, ablations, and error-analysis expectations in NLP reviewing.Science★ 1.3K
- chi-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when drafting or revising the prose of an ACM CHI paper — contribution statements, structure for mixed reviewer audiences, participant voice, calibrated claims, accessible and bias-free writing, and length discipline in a venue that reviews words against contribution instead of pages.Writing★ 1.3K
- pods-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the analytical "evidence" of an ACM PODS paper — worst-case and average-case analyses, matching upper and lower bounds, dichotomy completeness, correct complexity assumptions, and the occasional empirical validation when a theory paper claims practicality — matching the rigor to the shape of each theoretical claim.Science★ 1.3K
- chi-related-workbrycewang-stanford/Awesome-Journal-SkillsUse when building the related-work section of an ACM CHI paper — covering the HCI venue family and the non-CS disciplines CHI draws on, positioning against the last few CHI cycles, keeping self-citation anonymous — in a venue where insufficient contextualization is the top assisted desk-reject ground.Science★ 1.3K
- ecai-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evidence in an ECAI paper — choosing proof versus experiment by claim shape across ECAI's breadth (theory/KR, planning/search, ML, multi-agent, applied), fair baselines, seeds and spread, honest ablations, and provenance, all supporting a claim inside a 7-page body.Science★ 1.3K
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