scholaraio
Copilot instructions585 starsChanged 3 months agoMITView on GitHub
This wrapper is intentionally light. Full shared project instructions are in AGENTS.md at the repository root. Read AGENTS.md before proceeding with any task.
In this repository47 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .cursor/rules/scholaraio.mdcCursor rule
- academic-writingSkill
- arxivSkill
- auditSkill
- backupSkill
- bioinformaticsSkill
- citation-checkSkill
- citationsSkill
- documentSkill
- drawSkill
- enrichSkill
- exploreSkill
- exportSkill
- graphSkill
- gromacsSkill
- importSkill
- indexSkill
- ingestSkill
- insightsSkill
- lammpsSkill
- literature-reviewSkill
- metricsSkill
- nature-workflowSkill
- openfoamSkill
- paper-guided-readingSkill
- paper-writingSkill
- patent-fetchSkill
- patent-searchSkill
- posterSkill
- publishSkill
- quantum-espressoSkill
- renameSkill
- research-gapSkill
- review-responseSkill
- scientific-runtimeSkill
- scientific-tool-onboardingSkill
- scrubSkill
- searchSkill
- setupSkill
- showSkill
- technical-reportSkill
- topicsSkill
- translateSkill
- workspaceSkill
- writing-polishSkill
The file
Files
ScholarAIO — GitHub Copilot Instructions
This wrapper is intentionally light. Full shared project instructions are in AGENTS.md at the repository root. Read AGENTS.md before proceeding with any task.
Quick Reference
- Shared entry doc:
AGENTS.md - Deep reference:
docs/guide/agent-reference.md - CLI entry point:
scholaraio --help - Skills:
.claude/skills/*/SKILL.md - Fresh runtime defaults:
data/libraries/,data/spool/,workspace/ - User output: write to
workspace/, not the repo root orscholaraio/ - Tests:
python -m pytest -q -p no:cacheprovider
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.