scholar-evaluation
Systematically evaluate scholarly work using the ScholarEval framework, providing structured, quantitative, and qualitative assessment across research quality dimensions with actionable feedback.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
467 skills found
Systematically evaluate scholarly work using the ScholarEval framework, providing structured, quantitative, and qualitative assessment across research quality dimensions with actionable feedback.
Generate optimized SQL queries from natural language. Supports BigQuery, PostgreSQL, MySQL, and Snowflake. Analyze database schemas, interpret business requirements, and output ready-to-run queries with explanations.
Validates Excel exports for Customer Feedback Analyzer with 7 specific view sheets, 36 columns, and precise color-coded formatting. Ensures zero errors in customer-facing deliverables.
Compiler-accurate semantic code analysis via LSP. Navigate definitions, references, and implementations, perform workspace-wide renames, and get file outlines for Python, Rust, Go, TypeScript/JS, and Java.
MPC-based multi-chain wallet SDK and CLI for AI agents and developers. Perform secure, threshold-signed crypto operations (send, swap, sign) across 40+ blockchains without seed phrases.
An AI-powered sales assistant that transforms business scenarios into optimized prompts, automatically generating high-quality emails, proposals, and analysis reports without requiring prompt engineering skills.
View, filter, and analyze Vocal Bridge voice agent call logs, transcripts, and session details directly from your terminal.
A persistent, adaptive coaching assistant that analyzes your Claude Code session history to recommend personalized skills and improve your AI collaboration patterns.
End-to-end startup idea validation using S.E.E.D. niche checks, STREAM 6-layer analysis, and Devil's Advocate inversion to generate PRDs.
Generate a structured academic paper outline from research narrative, experiment data, and review conclusions.
Implement production-grade AI agents with LangGraph, tool-calling guardrails, SSE streaming, and episodic memory. Includes anti-patterns, fix pairs, and stateful architecture patterns.
Investigate and resolve OpenClaw test memory leaks, Vitest OOMs, and RSS growth using heap snapshots.