general-workflow-planner
OfficialTurn high-level goals into executable research steps
Education & Research#workflow planning#research decomposition#dependency planning#atomistic materials#skill registry mapping#hyperparameter selection#mcp tool orchestration
Authorlearningmatter-mit
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It converts a high-level scientific objective into a concrete, chronological execution plan that an AI can directly carry out with existing AtomisticSkills and MCP tools.
Core Features & Use Cases
- Objective to action decomposition: Breaks a proposed or literature-derived workflow into key scientific stages (e.g., generation → relaxation → stability → dynamics).
- Skill registry mapping: Matches each conceptual step to verifiable skill directories under .agents/skills and documented MCP tools.
- Dependency-aware planning: Builds data-flow dependencies between steps and flags missing capabilities that require new scripts/skills.
- Detailed Action Plan output: Produces a straightforward list of steps (with suggested hyperparameters) that can be inserted into research_plan.md.
Quick Start
Ask your AI to use general-workflow-planner to decompose your literature or user-proposed materials research objective into a detailed, chronological research_plan.md action list using only existing skills and MCP tools.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: general-workflow-planner Download link: https://github.com/learningmatter-mit/AtomisticSkills/archive/main.zip#general-workflow-planner Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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