core
claudeEssential infrastructure for the Han plugin marketplace including skills, commands, MCP servers, and quality enforcement hooks.
24 skills · 1 agent · 3 MCP servers · hooks
Advanced Scala programming skills for functional programming and type systems
Plugin jutsu-scala from marketplace han in TheBushidoCollective/han. Commands read from the repo's manifest — 2 days ago.
This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.
Scala CollectionsUse when scala collections including immutable/mutable variants, List, Vector, Set, Map operations, collection transformations, lazy evaluation with views, parallel collections, and custom collection builders for efficient data processing.
Scala Functional PatternsUse when functional programming patterns in Scala including higher-order functions, immutability, pattern matching, algebraic data types, monads, for-comprehensions, and functional composition for building robust, type-safe applications.
Scala Type SystemUse when scala's advanced type system including generics, variance, type bounds, implicit conversions, type classes, higher-kinded types, path-dependent types, and abstract type members for building type-safe, flexible APIs.
han hook run scala test --async
han hook run scala test --async
Essential infrastructure for the Han plugin marketplace including skills, commands, MCP servers, and quality enforcement hooks.
24 skills · 1 agent · 3 MCP servers · hooks
MCP server for ClickUp integration with automatic acceptance criteria validation. Provides task management, workspace access, and ensures work completeness.
8 skills · 1 MCP server
MCP server configuration for GitHub integration providing repository management, issues, pull requests, actions, and code search.
7 skills · 1 MCP server · hooks
MCP server configuration for GitLab integration providing issue management, merge request operations, code search, and project data access.
7 skills · 1 MCP server · hooks
MCP server for ClickUp integration with automatic acceptance criteria validation. Provides task management, workspace access, and ensures work completeness.
8 skills · 1 MCP server
MCP server configuration for GitHub integration providing repository management, issues, pull requests, actions, and code search.
7 skills · 1 MCP server · hooks
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
9 skills · 9 commands · 11 agents · 1 MCP server
Install the "Systems Programming" workflow plugin from Agentic Awesome Skills.
5 skills
This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.
37 skills
Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices
16 skills · 1 command · 3 agents
Run your monday CRM in plain language. Build a pipeline from scratch, start the day with a ranked deal briefing, spin up a forecast dashboard, audit board health, clean up messy data in bulk, and turn meeting notes into deal updates. Every skill writes back into monday as a real update, doc, or dashboard. Built on the official monday MCP connector.
10 skills · 1 MCP server
Enterprise / cross-functional Research Operations domain — the managed counterpart to the academic research/ domain. v2.9.0 ships 5 skills: orchestrator (context: fork), clinical-research (protocol synopsis, endpoint selection, sample-size/power for means/proportions/survival, phase-gate feasibility), research-finance (R&D budgeting with F&A split, burn/runway, capitalize-vs-expense routing, portfolio ROI), market-research (TAM/SAM/SOM top-down and bottoms-up, survey sampling with FPC, Kotler segmentation), and product-research (goal-matched study design, method-based saturation, insight synthesis flagging single-source anecdotes). Hard rules: outputs are estimates routed to a named clinical or finance owner, market sizes show method + assumptions, product insights require recurrence across independent participants. 24 stdlib Python tools, 12 reference docs. Distinct from ra-qm-team, finance, research/grants, product-team, and marketing-skill.
6 skills · 7 commands · 2 agents
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