qmd-redundancy-check
Finds and quantifies redundant content in QMD files - repeated equations, duplicate sections, similar paragraphs, and structural redundancy.
Découvrez les skills tools computational chemistry, comparez leurs dépôts et consultez leurs instructions.
Finds and quantifies redundant content in QMD files - repeated equations, duplicate sections, similar paragraphs, and structural redundancy.
Multi-phase research orchestration for thorough codebase, documentation, and external knowledge investigation. Invoked by /ai-eng/research command. Use when conducting deep analysis, exploring codebases, invest...
Predict persona performance in specific task contexts.
Interactive guidance for building Sun lab VR experiment configurations using MCP tools and CLI commands. Covers template discovery, experiment configuration generation, and Unity template creation. Use when cre...
Full ACMG/AMP variant classification workflow. Validates input, gathers evidence, applies rules, and generates classification. Invoked via /classify .
Create and validate LAMMPS input scripts with physics-aware validation and educational feedback
Use this skill when troubleshooting OpenStudio or EnergyPlus energy models that fail to simulate, have geometry errors (intersecting surfaces, non-planar surfaces, story organization issues), need HVAC validati...
Use this skill when working with OpenStudio 3.10 .osm models to adjust HVAC systems, equipment, thermal zones, schedules, or constructions, then run simulations to validate changes. Handles applying existing me...
Use this skill when analyzing EnergyPlus IDF building energy models, including QA/QC validation, HVAC topology analysis, ECM testing, or running simulations. Supports fast validation without Docker (direct pars...
Run structured research experiments for Sunaba creature evolution. Use for creating experiments, investigating problems, making code changes, running training, and tracking progress across physics, morphology,...
Synthesizes research findings into design decisions via codebase investigation. Use when (1) translating research into implementation approaches, (2) selecting between design alternatives, (3) executing after /...
Transforms an academic paper into deep, multi-layered understanding. Use when asked to explain a paper, break down a research paper, understand an arXiv paper, or build intuition for a technical concept from a...
Generates a rigorous experiment design given a hypothesis. Use when asked to design experiments, plan experiments, create an experimental setup, or figure out how to test a research hypothesis. Covers controls,...
Guides you through implementing a research paper step-by-step from scratch. Use when asked to implement a paper, code up a paper, reproduce research results, or build a model from a paper. Focuses on building u...
Apply wave physics principles when working on simulation code. Use this skill when editing files in src/waves/, src/simulation/, or when the user mentions wave behavior, shoaling, breaking, or foam physics.
Synthesize research findings for OAK planning using the oak.plan-research workflow. Use when consolidating findings from codebase exploration, comparing approaches, or creating research/*.md documents.
Autonomous patent examination agent. Simulates USPTO examination by analyzing applications for compliance with 35 U.S.C. §§ 101, 102, 103, 112 and identifying potential office action issues.
Autonomous claims drafting and optimization agent. Drafts, analyzes, and refines patent claims to maximize protection while ensuring validity.
Autonomous Freedom to Operate analysis agent. Identifies blocking patents, assesses infringement risk, and recommends mitigation strategies for product commercialization.
Component skill for systematic result interpretation with intellectual honesty in DataPeeker analysis sessions
Reproduce research papers into working code. Use when user wants to implement ML/AI papers, reproduce experiments, extract algorithms from PDFs, or convert research into executable code. Handles multiple interc...
Query and analyze ACO pheromone graphs in Memgraph. Use for prime candidate queries, pheromone analysis, path validation, and convergence monitoring.
AgentDB integration specialist for RAN ML systems with vector storage, pattern recognition, and distributed training coordination. Achieves 150x faster search,
Process Ericsson RAN features with MO class intelligence, parameter correlation analysis, and cognitive consciousness integration. Use when analyzing Ericsson MO classes, correlating RAN parameters, optimizing...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.