Trending Skills
The hottest skills gaining momentum in the community right now.
next-stack
by janjaszczak
Next.js App Router frontend stack workflow: Server Components-first, Prisma server-only (Node runtime), Tailwind + shadcn/ui, TanStack Query, React Hook Form + Zod, and conventions for work under frontend/. Use when implementing or refactoring UI, routes, data fetching, mutations, or forms in this stack.
KeePassXC Integration
by janjaszczak
Integracja KeePassXC z Cursorem do bezpiecznego zarządzania sekretami (hasła, tokeny API, klucze SSH)
mcp-browser-verify
by janjaszczak
Use browser automation MCP (Playwright/Browser/Browser-Use) to validate UI flows, capture screenshots, and reproduce issues. Use when visual verification or web flow testing is needed.
high-risk-review
by janjaszczak
Apply enhanced verification (CoVe-like review, security/arch/perf checks, targeted web research) for high-risk tasks or uncertainty. Use for security, infra, data loss risk, major refactors, or when facts may be outdated.
update-cursor-settings
by janjaszczak
Modify Cursor/VSCode user settings in settings.json. Use when the user wants to change editor settings, preferences, configuration, themes, font size, tab size, format on save, auto save, keybindings, or any settings.json values.
create-skill
by janjaszczak
Guides users through creating effective Agent Skills for Cursor. Use when the user wants to create, write, or author a new skill, or asks about skill structure, best practices, or SKILL.md format.
maintain-project-rules
by janjaszczak
Audit and maintain project rules in .cursor/rules/. Use when auditing project rules, checking prefix convention, syncing doc/rules.md, or when the user asks about .cursor/rules or prefix convention.
cross-platform-safety
by janjaszczak
Ensure commands and paths are safe across Windows + WSL + Docker (PowerShell vs bash, path translation, permissions). Use when instructions touch shell, filesystem, Docker, or OS-specific behavior.
data-import-parsers
by janjaszczak
Implement or refactor data import/parsing so it streams files sequentially (memory-safe), validates/coerces types explicitly, skips irreparable records while logging them to an error CSV (full original columns + timestamp/file/line/error), emits rows_ok/rows_skipped/parse_errors metrics, and guarantees idempotent DB writes.
cursor-deeplinks
by janjaszczak
Generate Cursor deeplinks (prompt/command/rule and MCP install links) using the repo generator and the project output contract. Use when the user asks for a Cursor deeplink, cursor:// links, cursor.com/link links, or wants to create prompts/commands/rules via deeplinks.
migrate-to-skills
by janjaszczak
Convert 'Applied intelligently' Cursor rules (.cursor/rules/.mdc) and slash commands (.cursor/commands/.md) to Agent Skills format (.cursor/skills/). Use when the user wants to migrate rules or commands to skills, convert .mdc rules to SKILL.md format, or consolidate commands into the skills directory.
create-rule
by janjaszczak
Create Cursor rules for persistent AI guidance. Use when the user wants to create a rule, add coding standards, set up project conventions, configure file-specific patterns, create RULE.md files, or asks about .cursor/rules/ or AGENTS.md.
create-subagent
by janjaszczak
Create custom subagents for specialized AI tasks. Use when the user wants to create a new type of subagent, set up task-specific agents, configure code reviewers, debuggers, or domain-specific assistants with custom prompts.
data-science-interactive-apps
by legout
"Interactive web apps for data science: Streamlit, Panel, and Gradio. Use for prototyping ML models, creating data exploration dashboards, and sharing insights with non-technical stakeholders."
data-engineering-storage-remote-access-integrations-iceberg
by legout
"Apache Iceberg catalog configuration for cloud storage (S3, GCS, Azure). Covers AWS Glue and REST catalogs, table scanning, and append/overwrite operations."
data-science-eda
by legout
"Exploratory Data Analysis (EDA): profiling, visualization, correlation analysis, and data quality checks. Use when understanding dataset structure, distributions, relationships, or preparing for feature engineering and modeling."
data-engineering-storage-formats
by legout
"Modern data serialization formats: Parquet, Apache Arrow (Feather/IPC), Lance (ML-native), Zarr (chunked arrays), Avro, and ORC. Covers compression, partitioning, and format selection."
data-engineering
by legout
"Comprehensive data engineering skill suite covering core libraries (Polars, DuckDB, PyArrow), lakehouse formats, cloud storage, orchestration, streaming, quality, observability, and AI/ML pipelines."
data-engineering-observability
by legout
"Observability and monitoring for data pipelines using OpenTelemetry (traces) and Prometheus (metrics). Covers instrumentation, dashboards, and alerting."
data-engineering-best-practices
by legout
"Data engineering best practices: medallion architecture, dataset lifecycle, partitioning, file sizing, schema evolution, and append/overwrite/merge patterns across Polars, PyArrow, DuckDB, Delta Lake, and Iceberg. Use when designing production data pipelines or reviewing data platform decisions."
data-engineering-storage-remote-access-integrations-duckdb
by legout
"Using DuckDB with remote cloud storage via HTTPFS extension, fsspec, and Delta Lake integration. Covers S3, GCS, Azure, and S3-compatible endpoints."
data-science-feature-engineering
by legout
"Feature engineering for machine learning: encoding, scaling, transformations, datetime features, text features, and feature selection. Use when preparing data for modeling or improving model performance through better representations."
data-engineering-storage-remote-access
by legout
"Cloud storage access in Python: fsspec, pyarrow.fs, obstore libraries, plus integrations with Polars, DuckDB, PyArrow, Delta Lake, and Iceberg."
data-engineering-streaming
by legout
"Real-time data pipelines with Apache Kafka, MQTT (IoT), and NATS JetStream. Covers producers, consumers, streaming patterns, and integration with data platforms."