By ccf
LLM application development: RAG systems, prompt engineering, AI agents, and production LLM patterns
You are an AI assistant development expert specializing in creating intelligent conversational interfaces, chatbots, and AI-powered applications. Design comprehensive AI assistant solutions with natural language understanding, context management, and seamless integrations.
You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph.
You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimization.
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.
Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.
Uses power tools
Uses Bash, Write, or Edit tools
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Focused Plugins — Capabilities NOT covered by Claude Code's 100+ built-in agents
A curated plugin marketplace featuring 8 specialized plugins, 13 unique agents, and 35+ skills for Claude Code.
Claude Code includes built-in agents for:
This marketplace fills the gaps:
| Category | What We Add |
|---|---|
| Finance/Quant | Trading strategies, risk management, ML for finance |
| Structured Reasoning | FPF methodology with auditable decision trails |
| MCP Development | Advanced MCP server patterns |
| LLM Applications | RAG systems, prompt engineering, AI agents |
| Event Sourcing | CQRS, Temporal workflows |
| Monorepos | Nx, Turborepo, Bazel architecture |
Hypothesis-driven decision making with auditable evidence trails:
/q0-init # Initialize knowledge base
/q1-hypothesize "API caching" # Generate hypotheses
/q2-verify H1 # Logical verification
/q5-decide H1 # Create Design Rationale Record
Comprehensive ML-based asset management:
Build high-quality MCP servers for LLM integrations:
| Plugin | Agents | Skills | Focus |
|---|---|---|---|
quantitative-trading | 3 | 2 | Quant finance, ML trading, risk |
structured-reasoning | 1 | 1 | FPF methodology |
mcp-development | 1 | 1 | MCP server patterns |
llm-application-dev | 2 | 9 | RAG, prompts, AI agents |
documentation | 2 | 4 | Docs architecture, diagrams |
refactoring | 1 | 4 | Legacy modernization |
developer-essentials | 1 | 12 | Monorepo architecture |
backend-development | 2 | 10 | Event sourcing, Temporal |
claude-code-plugins/
├── .claude-plugin/
│ └── marketplace.json # 8 plugins
├── shared/
│ └── agents/ # Agent definitions
├── plugins/
│ ├── quantitative-trading/ # Finance specialty
│ ├── structured-reasoning/ # FPF methodology
│ ├── mcp-development/ # MCP servers
│ ├── llm-application-dev/ # LLM applications
│ ├── documentation/ # Docs architecture
│ ├── refactoring/ # Modernization
│ ├── developer-essentials/ # Monorepos
│ └── backend-development/ # Event sourcing
├── AGENTS.md # Agent catalog
└── README.md
git clone https://github.com/ccf/claude-code-ccf-marketplace.git
cd claude-code-ccf-marketplace
# Symlink to Claude Code configuration
ln -s $(pwd) ~/.claude/plugins/claude-code-ccf-marketplace
cp -r plugins/quantitative-trading ~/.claude/plugins/
| Tier | Model | Use Case |
|---|---|---|
| Tier 1 | opus | Architecture, security, critical decisions |
| Tier 2 | inherit | Complex tasks - session default |
| Tier 3 | sonnet | Support tasks (docs, testing) |
| Tier 4 | haiku | Fast operations |
shared/agents/ (single source of truth)plugins/*/agents/plugins/*/skills/.claude-plugin/marketplace.jsonnpx claudepluginhub ccf/claude-code-ccf-marketplace --plugin llm-application-devLegacy system modernization: incremental migration, framework upgrades, and systematic refactoring
Local-first agent memory for Claude Code — recall, remember, and ambient capture into a Markdown vault you own.
ccfAccess thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
fFeature development with code-architect/explorer/reviewer agents, CLAUDE.md audit and session learnings, and Agent Skills creation with eval benchmarking from Anthropic.
anthropicsComplete developer toolkit for Claude Code
rohitg00Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
markus41Orchestrate multi-agent teams for parallel code review, hypothesis-driven debugging, and coordinated feature development using Claude Code's Agent Teams
wshobsonProduction-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
addyosmani