science-consensus-report
From the author
Use when several agents or votes produced different answers and the result must be merged into one defensible statement — when running the three-vote rule, when weighting preprints against peer-reviewed evidence, when escalating an unresolved disagreement, or when writing the evidence table and gap list that a campaign report must carry.
Install
npx skills add yzlin286-wq/Deepscient --skill science-consensus-report -a claude-code
Installs to .claude/skills/science-consensus-report/ · 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 83
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Similar skills
Closest to this one by what they do and when they are used.
- science-stats-reportyzlin286-wq/DeepscientUse when a statistical result has to leave the analysis tool and enter a manuscript — when writing the statistics paragraph, the table notes, or the figure caption that carries a p-value; when someone asks how to report a test, an effect size, or a confidence interval; when a result is significant but the assumption check failed; when a chi-square had Yates correction or not and the value differs between tools; also use when a reviewer asks for the numbers behind a claim.Science★ 92
- science-reporting-standardsyzlin286-wq/DeepscientUse when preparing a submission, when a reviewer asks for CONSORT/PRISMA/STROBE/ARRIVE/TRIPOD items, when the journal demands data/code availability statements, or when an audit reports blocking findings; covers which standard applies to which design and what each one actually requires.Science★ 92
- research-reportShy2593666979/AgentChat根据用户提供的多源资料编写研究报告、主题综述或方案对比,区分证据与推断并保留来源。Science★ 925
- science-campaign-designyzlin286-wq/DeepscientUse when a research goal is too large for one agent turn and must be split into schedulable work — when planning a campaign across S0–S11, when deciding how fine a shard should be (literature, statistics, figures, writing), when setting gates and vote counts so parallel results can be trusted, or when a batch plan produced duplicates, idle workers or unusable outputs.Design★ 92
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