document-summary
Summarize documents, extract key points, and generate structured outlines
dbos-python
DBOS Python SDK for building reliable, fault-tolerant applications with durable workflows. Use this skill when writing Python code with DBOS, creating workflows and steps, using queues, using DBOSClient from external applications, or building applications that need to be resilient to failures.
dbos-typescript
DBOS TypeScript SDK for building reliable, fault-tolerant applications with durable workflows. Use this skill when writing TypeScript code with DBOS, creating workflows and steps, using queues, using DBOSClient from external applications, or building applications that need to be resilient to failures.
dbos-golang
DBOS Go SDK for building reliable, fault-tolerant applications with durable workflows. Use this skill when writing Go code with DBOS, creating workflows and steps, using queues, using the DBOS Client from external applications, or building Go applications that need to be resilient to failures.
llms-generative-ai
LLMs, prompt engineering, RAG systems, LangChain, and AI application development
machine-learning
Supervised & unsupervised learning, scikit-learn, XGBoost, model evaluation, feature engineering for production ML
statistics-math
Statistics, probability, linear algebra, and mathematical foundations for data science
python-programming
Master Python fundamentals, OOP, data structures, async programming, and production-grade scripting for data engineering
nosql-databases
MongoDB, Redis, Cassandra, DynamoDB, and distributed database patterns for scalable applications
monitoring-observability
Prometheus, Grafana, logging, alerting, and data pipeline observability
testing-quality
pytest, data validation, Great Expectations, and quality assurance for data systems
mlops
MLflow, model versioning, experiment tracking, model registry, and production ML systems
sql-databases
SQL query optimization, schema design, indexing strategies, and relational database mastery for production data systems
iac-automation
Terraform, Pulumi, CloudFormation, and infrastructure as code for data platforms
git-version-control
Git workflows, branching strategies, collaboration, and code management
etl-tools
Apache Airflow, dbt, Prefect, Dagster, and modern data orchestration for production data pipelines
big-data
Apache Spark, Hadoop, distributed computing, and large-scale data processing for petabyte-scale workloads
api-development
FastAPI, REST APIs, GraphQL, data service design, and API best practices
career-growth
Portfolio building, technical interviews, job search strategies, and continuous learning
deep-learning
PyTorch, TensorFlow, neural networks, CNNs, transformers, and deep learning for production
cicd-pipelines
GitHub Actions, GitLab CI, Jenkins, and automated deployment pipelines
cloud-platforms
AWS, GCP, Azure data platforms, infrastructure as code, and cloud-native data solutions
containerization
Docker, Kubernetes, container orchestration, and cloud-native deployment for data applications
data-engineering
Data pipeline architecture, ETL/ELT patterns, data modeling, and production data platform design
data-warehousing
Snowflake, BigQuery, Redshift, dimensional modeling, and modern data warehouse architecture
ux-specification
Translate PRDs into detailed UX specifications including user flows, screen descriptions, components, and interaction patterns. Use when a user has a PRD and needs to define the concrete UI/UX before generating development prompts. Bridges product requirements to implementation details.
prompt-export
Convert structured UX specs and product context into a sequenced prompts.md file for Claude Code. Use when a user has completed upstream design thinking (problem framing, PRD, UX spec) and needs to translate that into step-by-step prompts that coding agents can execute incrementally. This skill bridges design artifacts to code generation.
user-modeling
Create lightweight user personas and usage scenarios from problem framing or raw research. Use when a user needs to clarify who they're building for beyond a basic target user description. Outputs practical personas and scenarios that inform feature priorities and UX decisions—not marketing fluff.
solution-scoping
Prioritize features and define MVP boundaries based on problem framing and user models. Use when a user has validated their problem and understands their users but needs to decide what to build first. Outputs feature priorities, MVP scope, and explicit cuts that feed into PRD generation.
heuristic-evaluation
Systematic usability evaluation using established heuristics (Nielsen's 10, Shneiderman's 8, or custom rubrics). Use when reviewing UI designs, screenshots, prototypes, or live products for usability issues. Triggers on "review this design", "what's wrong with this UI", "usability check", "evaluate this interface", or when user shares screenshots/mockups asking for feedback.
assumption-mapping
Surface, prioritize, and track risky assumptions before investing significant effort. Use when starting a new project, before major feature work, when feeling uncertain about direction, when the user says "I think users want...", "we assume...", "probably...", or before any build decision that hasn't been validated with real users.
prd-generation
Generate lean, actionable Product Requirements Documents from upstream design thinking artifacts or raw input. Use when a user needs to define what they're building with enough structure to guide development but without enterprise bloat. Outputs a PRD that feeds directly into UX specs and development prompts.
problem-framing
Extract and structure fuzzy product ideas into validated problem statements, target users, and jobs-to-be-done. Use when a user has a raw idea, concept, or solution in mind but hasn't clearly articulated the problem, target user, or assumptions. This skill helps users communicate context to coding agents more effectively, reducing iteration cycles and "that's not what I meant" moments.
file-organizer
Intelligently organizes your files and folders across your computer by
file-converter
This skill handles file format conversions across documents (PDF, DOCX,
example-skill
This skill should be used when demonstrating skill structure and format.
documentation
Comprehensive documentation specialist covering API documentation, technical
dispatching-parallel-agents
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
devops-runbooks
Operational runbook and procedure documentation specialist. Use when
developer-growth-analysis
Analyzes your recent Claude Code chat history to identify coding patterns,
developer-experience
Developer Experience specialist for tooling, setup, and workflow optimization.
seo-analysis
SEO analysis and optimization specialist. Use when conducting technical
debugging
Comprehensive debugging specialist for errors, test failures, log analysis,
dependency-management
Dependency management specialist. Use when updating dependencies, scanning
global-standards
Project-wide coding standards and conventions specialist. Use PROACTIVELY
git-workflow
Git workflow and pull request specialist. Use when creating PRs, managing
Git Commit Helper
Generate descriptive commit messages by analyzing git diffs. Use when
requirements-elicitation
Systematic workflow for extracting complete, unambiguous specifications from incomplete or ambiguous inputs. Orchestrates question-driven elicitation, multi-stakeholder analysis, and systematic completeness verification. Use when gathering requirements, reviewing specs, or when facing unclear stakeholder intent.
ralph-tui-prd
Generate a Product Requirements Document (PRD) for ralph-tui task orchestration. Creates PRDs with user stories that can be converted to beads issues or prd.json for automated execution. Triggers on: create a prd, write prd for, plan this feature, requirements for, spec out.
ralph-tui-create-json
Convert PRDs to prd.json format for ralph-tui execution. Creates JSON task files with user stories, acceptance criteria, and dependencies. Triggers on: create prd.json, convert to json, ralph json, create json tasks.
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