
Results Report
This is the back half of a two-stage research workflow. You run results-analysis first to get strict statistics and figures, then this skill wraps everything into a decision-oriented report with frontmatter, figure interpretation, limitations, and next actions. It enforces a hard gate: if the analysis bundle is missing, it blocks and routes you back instead of generating confident prose from nothing. The output lands in your Obsidian Results/Reports folder with dateable filenames like 2026-03-18--freezing--r03--transfer-summary.md. It's built for teams that need experimental memory to outlive the person who ran the experiment, and it treats negative results and belief updates as first-class sections.
- skills.sh installs
- 502
- GitHub stars
- 6K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add galaxy-dawn/claude-scholar --skill results-report --agent claude-codeInstalls into .claude/skills of the current project.
Files
Results Report
Write the complete post-experiment summary report after analysis artifacts are ready.
This skill is for the stage after results-analysis.
Role boundary
results-analysis does
- strict statistics,
- real figures,
- figure interpretation scaffolding,
- stats appendix.
results-report does
- complete experiment wrap-up report,
- decision-oriented narrative,
- figure-by-figure interpretation inside a coherent structure,
- limitations, failure cases, and next actions,
- Obsidian write-back into
Results/Reports/.
When the task is to create or redesign paper-ready figures/tables themselves, rely on publication-chart-skill instead of expanding results-report into figure/table production.
Do not replace strict analysis with confident prose. If the analysis bundle is missing, first identify the blocker and request or produce the missing bundle.
Hard gate: do not write a complete report when analysis-report.md, stats-appendix.md, figure-catalog.md, provenance, or the primary comparison question is missing. In that case, write only a blocker summary and route back to results-analysis.
Default output
Sponsors
Details
- Repository
- github.com/galaxy-dawn/claude-scholar
- Categories
- Data Science & ML, Productivity & Planning
- First seen
- Jun 3, 2026
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