Use when you have an approved research question and need a concrete analysis plan, before touching outcome data or fitting any model
日本語の概要は準備中です。原文の説明を表示しています。
Use when you have a pre-registered analysis plan to execute inline in this session with review checkpoints, on a platform without subagents
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Load the pre-registered plan, review it critically, execute all steps exactly as registered, report when complete.
Announce at start: "I'm using the executing-analysis skill to run this analysis."
Note: Tell your human partner that Science Superpowers works much better with access to subagents — the protocol-compliance and rigor reviews catch more when run by fresh agents. If subagents are available, use science-superpowers:subagent-driven-analysis instead.
The plan MUST be pre-registered and frozen (science-superpowers:preregistering-analysis) and the workspace set up (science-superpowers:setting-up-reproducible-analysis). If either is missing, stop and do it first. Executing before freezing turns the analysis exploratory.
For each step:
science-superpowers:verifying-results-before-claiming before marking done.After each natural group of steps (e.g., data prep, then primary model), pause and report results to your human partner before continuing. Keep confirmatory and exploratory results clearly separated in every report.
After all steps complete and verified:
science-superpowers:requesting-red-team-review on the whole result.science-superpowers:reporting-and-archiving-findings.STOP immediately when:
science-superpowers:investigating-anomalous-results (do NOT quietly drop data or tweak parameters)Ask rather than guess. A guess that changes the analysis silently destroys the result's credibility.
Required workflow skills:
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Use when you have an approved research question and need a concrete analysis plan, before touching outcome data or fitting any model
日本語の概要は準備中です。原文の説明を表示しています。
Use when facing 2+ independent investigations that can proceed without shared state - parallel literature survey, multi-dataset replication, or pre-specified robustness checks
日本語の概要は準備中です。原文の説明を表示しています。
Use when your human partner has explicitly opted into exploratory or feasibility mode - a compute-heavy simulation, an unproven pipeline, an unbenchmarked solver, an untested cluster job - or when whether the work can run at all is still unknown, when a plan's largest configuration has never been executed, when a memory or wall-clock ceiling is estimated rather than measured, or when someone proposes pre-registering over runs that have never happened
日本語の概要は準備中です。原文の説明を表示しています。
You MUST use this before any data analysis or investigation - before exploring a dataset, loading or profiling data, running a model, computing a statistic, or testing an idea, and before any outcome data is touched
日本語の概要は準備中です。原文の説明を表示しています。
Use when a result is surprising, impossible, contradicts a sanity check, a pipeline fails, a model won't converge, or a replication fails - before adjusting anything
日本語の概要は準備中です。原文の説明を表示しています。
Use before running any confirmatory analysis or looking at outcome data, when testing a hypothesis, computing a p-value, or about to claim an effect - locks predictions and decision rules before results are seen
日本語の概要は準備中です。原文の説明を表示しています。