Topic: skills
17,247 skills in this topic.
-
session-gemini
Use when delegating a task to Gemini CLI with session persistence across turns.
vre/flow-state 7
-
youtube-to-markdown
Use when user asks YouTube video extraction, get, fetch, transcripts, subtitles, or captions, or channel browsing. Writes video details and transcription into structured markdown file.
vre/flow-state 7
-
dbcli-compare
Compare results of two SQL queries to verify if they produce identical data. Checks structure, record count, and data content using MINUS/EXCEPT operations. Use when user needs to validate query equivalence, compare view logic, verify refactoring, or check data consistency.
tteamtm/dbcli 7
-
dbcli-db-ddl
Execute DDL (Data Definition Language) statements - CREATE, ALTER, DROP tables, indexes, views on 30+ databases using DbCli. CRITICAL - requires mandatory backup before DROP/ALTER operations. Use when user needs to create schema, modify structure, or drop database objects.
tteamtm/dbcli 7
-
dbcli-exec
Execute INSERT, UPDATE, DELETE statements on 30+ databases using DbCli. Includes mandatory backup procedures before destructive operations. Use when user needs to modify data, insert records, update fields, or delete rows. Always create backups first.
tteamtm/dbcli 7
-
dbcli-export
Export table data as SQL INSERT statements from 30+ databases using DbCli. Essential for creating backups before dangerous modifications (UPDATE/DELETE/DROP). Use when user needs to backup data, migrate tables, or create portable SQL dumps.
tteamtm/dbcli 7
-
dbcli-export-schema
Export database schema objects (procedures, functions, triggers, views, indexes) as SQL scripts for backup
tteamtm/dbcli 7
-
dbcli-index
Manage database indexes (CREATE/DROP INDEX operations)
tteamtm/dbcli 7
-
dbcli-interactive
Interactive SQL mode for 30+ databases using DbCli. Provides REPL environment for exploratory queries, rapid prototyping, and database administration. Includes safety prompts before dangerous operations (UPDATE/DELETE/DROP). Use when user wants interactive database session.
tteamtm/dbcli 7
-
dbcli-procedure
Manage stored procedures, functions, and triggers (CREATE/ALTER/DROP operations)
tteamtm/dbcli 7
-
dbcli-query
Execute SELECT queries on 30+ databases (SQLite, SQL Server, MySQL, PostgreSQL, Oracle, etc.) using DbCli. Returns data in JSON, table, or CSV format. Use when user needs to query databases, read data, or execute SELECT statements.
tteamtm/dbcli 7
-
dbcli-tables
List all tables in a database and show table structure (columns, types, constraints) for 30+ databases using DbCli. Use when user wants to explore database schema, see what tables exist, check table structure, or understand column definitions.
tteamtm/dbcli 7
-
dbcli-view
Manage database views (CREATE/ALTER/DROP VIEW operations)
tteamtm/dbcli 7
-
single-cell-rna-qc
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for single-cell analysis.
biocontext-ai/skill-to-mcp 21
-
help
Provides information about using the skill-to-mcp server and how to install additional skills
biocontext-ai/skill-to-mcp 21
-
jta
Translate JSON i18n files to multiple languages with AI-powered quality optimization. Use when user mentions translating JSON, i18n files, internationalization, locale files, or needs to convert language files to other languages.
ckanner/agent-skills 21
-
prompt-optimizer
This skill should be used when users request help optimizing, improving, or refining their prompts or instructions for AI models. Use this skill when users provide vague, unclear, or poorly structured prompts and need assistance transforming them into clear, effective, and well-structured instructions that AI models can better understand and execute. This skill applies comprehensive prompt engineering best practices to enhance prompt quality, clarity, and effectiveness.
ckanner/agent-skills 21
-
conference-scheduler
Generate optimized conference schedules using Google OR-Tools CP-SAT solver. Use when the user needs to create conference schedules from CSV data with constraints like speaker conflicts, track distribution, room assignments, educational flow, and speaker availability. Supports both single-day and multi-day conferences. Handles inputs from Google Sheets CSV exports with talks (ID, title, summary, track, level, speakers, availability) and schedule slots (day, times, rooms). Outputs CSV and Markdown schedules.
stephanj/conference-scheduling-skill 16
-
conference-scheduler
Generate optimized conference schedules using SolverForge (Timefold compatible). Use when the user needs to create conference schedules from CSV data with constraints like speaker conflicts, track distribution, room assignments, educational flow, and speaker availability. Supports both single-day and multi-day conferences. Python-native solution with no Java project setup required.
stephanj/conference-scheduling-skill 16
-
conference-scheduler
Generate optimized conference schedules using TimeFold (formerly OptaPlanner). Use when the user needs to create conference schedules from CSV data with constraints like speaker conflicts, track distribution, room assignments, educational flow, and speaker availability. Supports both single-day and multi-day conferences. Handles inputs from Google Sheets CSV exports with talks (ID, title, summary, track, level, speakers, availability) and schedule slots (day, times, rooms). Outputs CSV and Markdown schedules.
stephanj/conference-scheduling-skill 16
-
loom-crossplane
cosmix/loom 36
-
loom-debugging
cosmix/loom 36
-
loom-e2e-testing
cosmix/loom 36
-
loom-event-driven
Event-driven architecture patterns including message queues, pub/sub, event sourcing, CQRS, and sagas. Use when implementing async messaging, distributed transactions, event stores, command query separation, domain events, integration events, data streaming, choreography, orchestration, or integrating with RabbitMQ, Kafka, Apache Pulsar, AWS SQS, AWS SNS, NATS, event buses, or message brokers.
cosmix/loom 36