speckit-plan
Execute the implementation planning workflow, generate technical design artifacts, and structure research tasks for Spec Kit projects.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
128 skills found
Execute the implementation planning workflow, generate technical design artifacts, and structure research tasks for Spec Kit projects.
Systematic methodology for reproducing published academic papers using provided data, including sample selection, statistical verification, and automated reporting.
Converts PRDs into structured task beads for autonomous execution with ralph-tui, including quality gates and dependency management.
Perform cohort analysis on user engagement data. Identify retention trends, feature adoption rates, churn patterns, and generate actionable research recommendations through quantitative data analysis.
Comprehensive biosignal processing toolkit for ECG, EEG, EDA, RSP, PPG, EMG, and EOG signal analysis, enabling psychophysiology research and multi-modal integration.
World-class senior data engineering skill for building scalable data pipelines, ETL/ELT systems, and modern data infrastructure using Python, Spark, dbt, and Kafka.
Normalizes testing defect logs by correcting typos, abbreviations, and ambiguous descriptions based on product-specific codebooks and station validation.
Scaffold complex, multi-step coding tasks into actionable implementation plans and execute them autonomously using a Claude-driven bash loop.
Python toolkit for mass spectrometry data processing. Enables spectral file importing (mzML, MGF, MSP), metadata harmonization, peak filtering, and calculating spectral similarity scores (cosine, modified cosine) for metabolomics.
A structured decision-making tool that applies RICE, MoSCoW, Kano, and value-effort frameworks to prioritize software features, roadmap items, and build-vs-defer decisions with data-driven objectivity.
Structured, template-driven workflow for end-to-end feature development including coding, automated testing, verification, and session-based improvement.
Create and edit Obsidian Bases (.base files) with database-like views, complex filters, custom formulas, and data summaries.