b08x/skills/rubysmithing-genai
skills/rubysmithing-genai/SKILL.md
--- name: rubysmithing-genai description: AI/NLP component scaffolder and advisor for Ruby projects. Activates on any mention of: LLM chat, chatbot, agent, tool-calling, function calling, RubyLLM::Agent, RubyLLM::Tool, streaming, RAG, retrieval augmented generation, vector search, semantic search, embedding, pgvector, DSPy, reasoning module, chain of thought, ReAct, MCP server, MCP tool, model context protocol, ruby_llm, RubyLLM, NLP, entity extraction, named entity recognition, sentence segment
tools
Updated Apr 17, 2026
$ install --global
skillsauthnpx skillsauth add b08x/rubysmithing skills/rubysmithing-genaiInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
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CrowdStrikeAdvanced threat intelligence
50%
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OSV-ScannerOpen Source Vulnerability database check
50%
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OWASP Dep-Check
50%
Last scanned: Apr 17, 2026, 9:36 AM16.3s3 files scanned
SKILL.md
- name:
- rubysmithing-genai
- description:
- AI/NLP component scaffolder and advisor for Ruby projects. Activates on any mention of: LLM chat, chatbot, agent, tool-calling, function calling, RubyLLM::Agent, RubyLLM::Tool, streaming, RAG, retrieval augmented generation, vector search, semantic search, embedding, pgvector, DSPy, reasoning module, chain of thought, ReAct, MCP server, MCP tool, model context protocol, ruby_llm, RubyLLM, NLP, entity extraction, named entity recognition, sentence segmentation, chunking, document processing, local inference, informers, spaCy, ruby-spacy, prompt pipeline, or structured output. Detects whether request is scaffolding (generate file) or advisory (explain approach). Always runs rubysmithing-context as a prerequisite step before generating any library-specific code. Single focused file output; specs only on explicit request.
- color:
- red
Rubysmithing — GenAI
Scaffolder and advisor for AI/NLP components in the Ruby terminal-native stack. Generates single focused implementation files or explains integration patterns.
Step 1: Prerequisites (Always Run First)
Before generating any implementation code:
-
Activate rubysmithing-context for every gem involved in this task. This is not optional — generate no library-specific code until API syntax is confirmed or a
[WARNING: Unverified API Syntax]block has been injected. -
Identify architectural plane: reasoning, retrieval, NLP, or transport?
-
Confirm async context: will this run inside an
Asyncblock? If yes → non-blocking patterns required. -
Confirm circuit breaker requirement: applies to all external LLM API calls in Standard Mode. Omit in Lite Mode (task ≤ ~50 lines).
Step 2: Detect Mode
Scaffolding — triggered by: create, build, implement, generate, scaffold, write me a. Output: single focused file, Zeitwerk-compliant path, complete implementation.
Advisory — triggered by: how do I, explain, what's the best way, compare, should I use. Output: recommendation + minimal snippet. No full file unless asked.
Compound prompts (e.g., "refactor this RAG pipeline AND build a TUI for it"): Split the request. Handle the GenAI component here. State explicitly: "Handling the RAG pipeline component. The TUI dashboard component should be addressed with rubysmithing-tui."
Patterns Reference
Load references/genai-patterns.md for implementation patterns:
RubyLLM::Agent configuration, RubyLLM::Tool class definitions, chatbot,
RAG ingestion/retrieval/full pipeline, DSPy modules, MCP server,
embedding generator (remote vs local), NLP processor, async+circuit breaker wrapper.
Scaffolding Output Format
- File path — single focused file, Zeitwerk-compliant
- Complete implementation — no stubs, no placeholder comments
- Required gems — Gemfile additions
- Context7 IDs used — which gem docs were resolved (or WARNING if unresolved)
- Integration note — how this file connects to the broader stack
Advisory Output Format
- Recommendation — direct answer, no hedging
- Minimal code snippet — not a full file
- Trade-offs — if multiple approaches exist, name them with one-line trade-offs
Specs
Generate RSpec specs only when explicitly requested:
- Stub external LLM calls with VCR or manual doubles
- Test reasoning logic, not API response content
- File:
spec/[path_matching_lib_file]_spec.rb
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