Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Orchestrates systematic document coding, progress tracking, and audit trail generation for qualitative research projects.
Automates high-fidelity PDF and document conversion by selecting the optimal parsing method for academic and qualitative research data.
Initializes qualitative research environments with structured epistemic foundations and standardized folder hierarchies.
Converts complex PDFs, academic papers, and tables into structured formats using intelligent tool selection and VLM-based parsing.
Orchestrates cost-effective qualitative research workflows using Kimi K2.5 models and advanced context caching strategies.
Manages the foundational state, logging, and workflow enforcement for AI-assisted qualitative research projects.
Facilitates reflexive qualitative data analysis through dialogical questioning and multi-stage visible reasoning.
Enforces methodological rigor in AI-assisted qualitative research through automated rule generation, saturation tracking, and analytical branching.
Optimizes model selection, API cost estimation, and batch processing strategies for AI-assisted qualitative document analysis.
Converts audio recordings and PDF documents into structured markdown for qualitative research and analysis.
Facilitates structured, step-by-step thinking for complex analytical decisions and qualitative research framework development.
Ensures methodological rigor by aligning philosophical assumptions, language usage, and analytical practices in AI-assisted research.
Initializes qualitative research projects through a Socratic onboarding process that establishes philosophical foundations and methodological frameworks.
Facilitates deep analytical reasoning and navigates theoretical paradoxes in qualitative research using systematic thinking and dialectical wisdom.
Converts audio recordings, PDFs, and diverse document formats into structured markdown for qualitative research and AI analysis.
Constructs and validates rigorous three-level Gioia methodology hierarchies for qualitative data analysis and academic publication.
Constructs, validates, and exports hierarchical data structures for qualitative research using the Gioia methodology.
Validates alignment between research epistemology, ontology, and analytical practice to ensure rigorous qualitative research outcomes.
Orchestrates systematic document coding for qualitative research through automated batch processing and audit trail generation.
Enforces qualitative research integrity through automated rule generation, saturation tracking, and workspace branching for Claude Code.
Initializes qualitative research projects by establishing philosophical foundations through Socratic dialogue and creating structured epistemic infrastructure.
Boosts AI response quality by up to 115% using research-backed techniques like persona assignment, stakes language, and step-by-step reasoning.
Builds and validates the three-level Gioia data structure for systematic qualitative research analysis and academic publication.
Resolves conflicting research patterns and theoretical tensions using contemplative, non-dual reasoning frameworks.
Converts audio recordings, PDFs, and diverse document formats into structured markdown for qualitative research and AI-assisted analysis.
Automates the retrieval of SageMaker backtest results from Amazon S3 for local analysis and performance comparison.
Automates the retrieval of training and test data dependencies from S3 for local machine learning model development and backtesting.
Streamlines the configuration and validation of Hotvect algorithm training runs for Vowpal Wabbit.
Captures and stores failed Hotvect command invocations as executable shell scripts for seamless debugging and reproduction.
Implements a self-adaptive machine learning retraining framework for automated trading signals and market regime detection.
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