Oraclaw Solver
Skill Verified ActiveIndustrial-grade scheduling and resource optimization for AI agents. Solve task scheduling with energy matching, budget allocation, and any LP/MIP constraint problem in milliseconds.
To provide AI agents with mathematically precise and deterministic optimization capabilities, enabling them to solve complex scheduling and resource allocation problems efficiently and accurately.
Features
- Industrial-grade scheduling with energy matching
- Budget allocation with custom constraints
- LP/MIP solver for optimization problems
- Deterministic and millisecond-fast results
- REST API and SDKs for broad integration
Use Cases
- Planning daily/weekly schedules matching tasks to energy levels
- Allocating budget across competing priorities with hard constraints
- Solving resource allocation problems with limited capacity
- Optimizing staffing, routing, or capacity planning
Non-Goals
- Performing heuristic-based or approximate solutions
- Replacing LLM-based reasoning for non-mathematical tasks
- Handling tasks that are not mathematically optimizable
Installation
npx skills add Whatsonyourmind/oraclawRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedTrust Signals
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