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openmolclaw

openmolclaw에는 scottmreed에서 수집한 skills 6개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.

수집된 skills
6
Stars
3
업데이트
2026-07-06
Forks
1
직업 범위
직업 카테고리 2개 · 100% 분류됨
저장소 탐색

이 저장소의 skills

ketcher-local-harness
소프트웨어 개발자

How to embed Ketcher in a local Flask + JavaScript page and bridge it to RDKit: read/write Molblock, convert pasted SMILES to Molblock server-side, and render validated structures into the local workspace. Use when building or extending the local structure-editor harness.

2026-07-06
local-model-provider
소프트웨어 개발자

Configure OpenMolClaw's model provider: a local chat-completions endpoint, OpenRouter ZDR, or another explicit endpoint behind one ModelProvider interface. Use when wiring, swapping, or debugging the model the router and executor call.

2026-07-06
molecule-svg-drawing
소프트웨어 개발자

Conventions for drawing accurate 2D skeletal chemical structures in SVG. Covers zigzag backbones, wedge/dashed-wedge bonds, heteroatom labels, stereochemistry notation, and common pitfalls.

2026-07-06
rdkit-structure-builder
소프트웨어 개발자

Programmatically build, modify, and manipulate chemical structures using RDKit without requiring LLM API calls. Use when you need to: (1) Retrieve common chemical scaffolds (benzene, pyridine, amino acids, etc.), (2) Build molecules from building blocks (chains, rings, functional groups), (3) Manipulate fragments (replace substructures, find disconnections, extract MCS), (4) Validate or canonicalize SMILES strings, (5) Generate molecular series or variants (homologous series, isomers, functional group scans), or (6) Perform any routine structure manipulation for local chat or workspace workflows.

2026-07-06
router-first-tool-calls
기타 컴퓨터 관련 직업

The router-first agent pattern: user request → router → forced tool choice → executor → tool result, with JSON-schema validation, an execution trace, and deterministic fallback errors. Use when building or reasoning about the local agent harness loop so model text is never executed directly.

2026-07-06
workspace-json
소프트웨어 개발자

The local workspace JSON format and semantic-alias system ([m1], [r1], [label1]): how molecules, reactions, labels, and rendered assets are stored, referenced, and round-tripped to a single local JSON file with no database. Use when building or reasoning about local workspace state and object references.

2026-07-06