文件操作

asc-notarization

rudrankriyam

Archive, export, and notarize macOS apps using xcodebuild and asc. Use when you need to prepare a macOS app for distribution outside the App Store with Developer ID signing and Apple notarization.

hivemind-memory

activeloopai

Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.

hivemind-graph

activeloopai

Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Use when the user asks structural questions about the codebase — "what calls X?", "what does Y import?", "where is Z defined?", "what is the architecture / which subsystems exist?". The graph is an AST-derived map of the repo, queried as files (no build needed — it rebuilds automatically).

hivemind-memory

activeloopai

Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.

hivemind-graph

activeloopai

Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Use when the user asks structural questions about the codebase — "what calls X?", "what does Y import?", "where is Z defined?", "what is the architecture / which subsystems exist?". The graph is an AST-derived map of the repo, queried as files (no build needed — it rebuilds automatically).

hivemind-graph

activeloopai

Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Use when the user asks structural questions about the codebase — "what calls X?", "what does Y import?", "where is Z defined?", "what's the architecture / which subsystems exist?", "what's the impact of changing this?". The graph is an AST-derived map of the repo, queried as files (no build needed — it rebuilds automatically).

hivemind

activeloopai

Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.

hivemind-graph

activeloopai

Query the local AST-derived code graph (functions, classes, calls, imports) for structural codebase questions — what calls X, what does Y import, where is Z defined, blast radius of a change. The graph rebuilds automatically after each agent turn; use hivemind_graph_search and hivemind_graph_neighborhood tools (no manual build step).

algorithmic-art

partme-ai

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.

avue-crud

partme-ai

Provides comprehensive guidance for Avue CRUD component including table operations, form handling, and data management. Use when the user asks about Avue CRUD, needs to implement table CRUD operations, or build data management interfaces.

containerize-aspnetcore

github

'Containerize an ASP.NET Core project by creating Dockerfile and .dockerfile files customized for the project.'

prd

github

'Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.'

mcp-cli

github

Interface for MCP (Model Context Protocol) servers via CLI. Use when you need to interact with external tools, APIs, or data sources through MCP servers, list available MCP servers/tools, or call MCP tools from command line.

polyglot-test-agent

github

'Generates comprehensive, workable unit tests for any programming language using a multi-agent pipeline. Use when asked to generate tests, write unit tests, improve test coverage, add test coverage, create test files, or test a codebase. Supports C#, TypeScript, JavaScript, Python, Go, Rust, Java, and more. Orchestrates research, planning, and implementation phases to produce tests that compile, pass, and follow project conventions.'

tool-discovery

0xDarkMatter

"Recommend the right agents and skills for any task. Covers both heavyweight agents (Task tool) and lightweight skills (Skill tool). Triggers on: which agent, which skill, what tool should I use, help me choose, recommend agent, find the right tool."

container-orchestration

0xDarkMatter

"Docker and Kubernetes patterns. Triggers on: Dockerfile, docker-compose, kubernetes, k8s, helm, pod, deployment, service, ingress, container, image."

skill-creator

0xDarkMatter

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

databricks-unstructured-pdf-generation

databricks-solutions

"Generate synthetic PDF documents for RAG and unstructured data use cases. Use when creating test PDFs, demo documents, or evaluation datasets for retrieval systems."

text-optimizer

kochetkov-ma

"Optimizes text, prompts, and documentation for LLM token efficiency. Applies 41 research-backed rules across 6 categories: Claude behavior, token efficiency, structure, reference integrity, perception, and LLM comprehension. Use when optimizing prompts, reducing tokens, compressing verbose docs, or improving LLM instruction quality."

brewcode:text-human

kochetkov-ma

Removes AI artifacts, cleans comments, simplifies documentation in code. Use when - humanizing code, removing AI comments, cleaning docs, fixing unicode, making code human-readable. Trigger keywords - humanize, human, ai artifacts, ai comments, clean comments, simplify docs, unicode fix, remove generated, make readable.

brewcode:standards-review

kochetkov-ma

Reviews code for project standards compliance and finds duplicates. Use when - reviewing code quality, checking standards, finding duplicates, analyzing compliance. Trigger keywords - standards review, check standards, find duplicates, code review, compliance check, reusable code.

brewcode:skills

kochetkov-ma

Skill management - list, improve, create skills with activation optimization.

brewcode:text-optimize

kochetkov-ma

Optimizes text and docs for LLM token efficiency. Use when - optimizing prompts, reducing tokens, compressing text, condensing verbose content. Trigger keywords - optimize, reduce tokens, compress, condense, slim, tighten, too verbose, shrink.

COPYRIGHT NOTICE

mdbabumiamssm