Top Agent Skills

Provides jurisdiction-specific legal context and contract scaffolding for the US, EU, and Canada, grounding agents in verified government references to reduce legal hallucinations.

Guides test-first development with vertical slices, writing one behavior test at a time and refactoring only when green.

Runs an autonomous optimization loop that iteratively improves an artifact against an objective and evaluator using Hypothesis Tree Refinement, with subagent executors in isolated git worktrees.

Solves single- and multi-objective optimization problems with NSGA-II/III, MOEA/D, and other evolutionary algorithms, including constraint handling, Pareto front analysis, and benchmark problems.

Read, write, and analyze genomic datasets including SAM/BAM/CRAM alignments, VCF/BCF variants, and FASTA/FASTQ sequences using a Pythonic interface to htslib.

Access AI-ready drug discovery datasets, benchmarks, and molecular oracles from Therapeutics Data Commons for therapeutic machine learning and pharmacological prediction.

Run cloud-native molecular modeling and drug-design workflows via a Python API, covering pKa prediction, docking, conformer and tautomer ensembles, molecular dynamics, and related small-molecule or protein tasks without local HPC infrastructure.

Build discrete-event simulations of systems with processes, queues, resources, and time-based events using the SimPy framework in Python.

Provides guidance for using SymPy for exact symbolic mathematics in Python, covering algebra, calculus, equation solving, linear algebra, physics, and code generation.

Applies curated color palettes and font pairings to style artifacts such as slide decks, docs, and landing pages, with 10 preset themes and the ability to generate custom themes on demand.

Trains machine learning models on genomic interval data from BED files, including region embeddings, single-cell ATAC-seq analysis, and consensus peak building.

Numerical computing with MATLAB and GNU Octave for matrix operations, data analysis, visualization, and scientific computing, including script execution and syntax guidance.

Loads and processes whole-slide pathology images, builds spatial graphs, trains deep learning models, and analyzes multiplexed immunofluorescence data across 160+ slide formats.

Build, optimize, and execute quantum circuits on IBM Quantum hardware or local simulators using Qiskit, including transpilation, primitives, and algorithm libraries.

Analyze RNA velocity in single-cell RNA-seq data with scVelo, estimating cell state transitions from unspliced/spliced mRNA dynamics, inferring trajectory directions, computing latent time, and identifying driver genes.

Logs daily development progress into project-local and global diary files, then syncs them to Notion and Obsidian.

Guides the user through learning a new skill or concept within a workspace, using structured lessons, reference materials, and learning records.

Manages annotated data matrices for single-cell genomics, covering creation, I/O, concatenation, and manipulation of AnnData objects in h5ad and zarr formats.

Provides guidance on using the Astropy library for astronomy and astrophysics workflows, including units, coordinates, FITS I/O, tables, time, WCS, and cosmology.

Manages biological datasets and models with LaminDB, covering setup, artifact registration, querying, lineage tracking, validation, ontology annotation, collections, branches, storage, and workflow integrations.

Process and analyze mass spectrometry data with the Matchms Python library, including importing spectra, filtering peaks, calculating similarity scores, and building reproducible analytical workflows.

Filters and prioritizes compound libraries in drug discovery using drug-likeness rules, structural alerts, complexity metrics, and a query language.

Query the Precision Medicine Knowledge Graph (PrimeKG) for multiscale biological data including genes, drugs, diseases, phenotypes, and more.

Read, write, and modify DICOM medical imaging files, including pixel data extraction, anonymization, format conversion, and compression handling.

Create publication-quality statistical graphics in Python with seaborn, covering relational, distribution, and categorical plots with pandas integration.

Guides users through a structured three-stage workflow for co-authoring documents, from context gathering to reader testing.

Guides distinctive, intentional visual design for new or existing UI, covering aesthetic direction, typography, and avoiding templated defaults.

Optimize content for AI search and LLM citations across AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and similar systems. Use when improving AI visibility, answer engine optimization, or citation readiness.

Orchestrates a full software development pipeline by sequentially loading and executing seven role-specific skills (BA, TechLead, PM, BE Dev, FE Dev, Tester, QA/QC), with configurable project levels and gate checks.

Runs a structured bug-fix pipeline that scouts, diagnoses, fixes, reviews, and finalizes code changes with optional quality re-verification.

Guides a structured planning pipeline for coding tasks, including scope detection, research, plan creation, and review.

Runs and writes tests, verifies behavior, and orchestrates two-pass TDD across scoped modes, blocking on quality gates and never editing production code.

Generates 12 detailed plan files from a project spec, one per SRS section, with FR/NFR numbering and a summary table.

Analyzes requirements and produces four artifact files: requirements, user stories, acceptance criteria, and business rules, with optional SRS workflow integration.

Generates frontend source code and a PR description from BA, TechLead, PM, and BE artifacts, following a level-based implementation plan.

Scans the projects/ directory and reports the pipeline phase completion status for each Virtual Team project.

Derives a comprehensive test plan and writes unit, integration, and end-to-end test cases from user stories and acceptance criteria, flagging issues in prior artifacts and declaring UAT readiness.

Audits code quality against a shared contract, returning structured findings without modifying code. Supports gate, audit, diff, changed, and verify modes.

Generates a complete IEEE 830-compliant Software Requirements Specification from approved plan files, producing one file per section with no word limit.

Validates generated SRS documents against IEEE 830-1998, fixes errors, and reports compliance verdict.

Creates a machine-readable phased JSON plan bundle from a spec or feature description, producing a compact master manifest plus per-phase step files for resumable execution.

Create text-based diagrams and visualizations using Mermaid.js v11 syntax, covering flowcharts, sequence diagrams, class diagrams, state diagrams, ER diagrams, Gantt charts, and more. Includes CLI conversion to SVG/PNG/PDF, JavaScript integration, theming, and configuration options.

Guides users through creating, editing, and optimizing agent skills, including drafting, testing, evaluating, and improving skill performance.

Designs system architecture, selects technology stack, creates ERDs and sequence diagrams, and records ADRs from BA artifacts, declaring a design freeze gate.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Guides structured problem-solving through iterative reasoning steps, with support for revising conclusions, branching into alternative approaches, and dynamically adjusting scope as understanding evolves.

Implements SDD change tasks from specs and design, enforcing workload budgets, supporting chain strategies, and merging apply-progress across batches.

Crea dashboards interactivos con Streamlit: carga de datos, filtros, gráficos y despliegue.

Verifica que una implementación cumpla los specs del ciclo SDD ejecutando tests reales, revisando cobertura y emitiendo un veredicto de aprobación o rechazo.

Entrena modelos de machine learning con Scikit-learn, LightGBM y XGBoost, desde un baseline hasta un modelo productivo con validación robusta y explicabilidad.

Analiza datos en bases de datos relacionales con consultas SQL eficientes y legibles, incluyendo joins, window functions, CTEs y subqueries, para extraer insights directamente de la base de datos.

Limpia datasets crudos eliminando nulos, duplicados, outliers e inconsistencias de tipos, con estrategias de imputación y pipelines reproducibles.

Construye pipelines ETL/ELT con Pandas: extracción, transformación y carga de datos con logging, manejo de errores, idempotencia y opciones de orquestación.

Profiles datasets automatically to assess data quality, structure, and completeness, generating reports with ydata-profiling, pandera, or manual pandas methods.

Integrate REST APIs in Python using requests, httpx, or official SDKs, handling authentication, rate limiting, pagination, and errors.

Fetches the latest news headlines from Reuters RSS and presents them with source attribution.

Guides users through creating new Synapse skills by extracting parameters, confirming details, and generating a JSON skill definition.

Fetches real-time weather data for any city and reports current conditions, temperature, and wind speed.

Fetches and extracts readable text from a URL, then summarizes or presents key information with source citation.

Routes UX, UI, accessibility, and onboarding design tasks to specialized sub-skills, applying behavioral science and WCAG 2.1 AA standards.