k-dense-ai/executing-analysis
Use when you have a pre-registered analysis plan to execute inline in this session with review checkpoints, on a platform without subagents
npx skills add https://github.com/K-Dense-AI/science-superpowers --skill executing-analysis
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:
Take k-dense-ai/executing-analysis from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.