competition-task-intelligenceBuild and maintain a structured PDE equation registry, analyze competition tasks (difficulty, bottlenecks, score projections), generate strategic recommendations for research focus, and expose this intelligence via CLI and MCP tools.
Install via ClawdBot CLI:
clawdbot install diamond2nv/competition-task-intelligenceGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://github.com/diamond2nv/expflowAudited May 20, 2026 · audit v1.0
Generated Jul 29, 2026
Research teams use the tool to catalog PDE equations, analyze difficulty, and generate strategic recommendations on which tasks to tackle first, optimizing limited compute and researcher time.
Competitors in AI for Science competitions (e.g., PDE solving challenges) leverage task intelligence to decide which sub-tasks to focus on, estimate scores, and allocate effort efficiently to maximize total score.
MLOps engineers integrate the tool into experiment lifecycle platforms to gate model deploys based on equation-specific metrics and task difficulty, ensuring quality control across continuous training pipelines.
Instructors use the PDE equation registry and task analysis to design graded assignments with controlled difficulty, helping students progress from easy to very hard problems systematically.
Offer basic task analysis and equation registry for free, while detailed strategic advising (score projections, scheduling) is premium, targeting competition teams.
License the tool to research labs and companies for internal MLOps pipelines, providing custom equation registries and SLA-backed integration support.
Use the tool to power consulting services for competition teams: analyze tasks, devise strategy, and provide coaching, bundling tool access with human expertise.
💬 Integration Tip
Integrate via CLI (`expflow analyze`) or MCP tools; hook into experiment lifecycle systems using the equation metrics for gating and feedback loops.
Scored Sep 22, 2026
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