learningmatter-mit/AtomisticSkills

Intergrating Atomistic Skills into Agentic IDEs (Cursor, Claude Code, Google Antigravity, OpenClaw, etc)

158Stars on the repository
134Mods indexed here, across every type
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learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Review a manuscript or code repository for FAIR data compliance (Findable, Accessible, Interoperable, Reusable), producing a structured report with pass/fail per principle and actionable remediation steps.

not rated 158 today A 44 tokens original MIT

general-peer-review

52

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Act as a reviewer to critically review research plans, manuscripts, or task summaries, pointing out missing baselines, statistical flaws, and weak assumptions.

not rated 158 today A 33 tokens original MIT

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Extract continuous X-Y data from experimental spectrum images (Raman, XRD, UV-Vis, IR, etc.) via hybrid VLM + CV pipeline and agent-in-the-loop workflow.

not rated 158 today A 44 tokens original MIT

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Hierarchically decompose high-level scientific workflows (from literature or user-proposed) into executable sequences of existing SKILLs and MCP tools for the research plan.

not rated 158 today A 39 tokens original MIT

mat-db-mp

61

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Query Materials Project database for crystal structures, computed properties, elastic/magnetic data, and structurally similar materials using the MP API.

not rated 158 today A 31 tokens MIT

mat-db-nist-janaf

62

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Query the NIST Chemistry WebBook (which includes JANAF thermochemical tables) for standard experimental thermochemistry properties.

not rated 158 today A 30 tokens MIT

mat-db-optimade

63

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Query the Crystallography Open Database (COD) and other OPTIMADE-compliant databases for experimental crystal structures.

not rated 158 today A 29 tokens MIT

mat-dft-lobster

69

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Construct computational flows for VASP electronic structure projection via LOBSTER to calculate chemical bonding insights (COHP, atomic charges, DOS).

not rated 158 today A 34 tokens MIT

mat-dft-vasp

71

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Prepare VASP input files, run DFT calculations (locally or remotely via atomate2), and parse VASP output results.

not rated 158 today A 34 tokens MIT

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