GoogleDevRelExplorations
Official@googledevrelexplorations
Enables local inference and repository analysis for Go documentation, text classification, and private data synthesis using Ollama-backed processing.
Agent Skills by GoogleDevRelExplorations
Showing 13 vetted skills indexed across 1 GitHub repositories.
cercano-extract
Extract targeted items like function signatures and API endpoints from text using Cercano local AI inference.
cercano-submit-usage
Submit cloud token usage data to Cercano with input and output token counts.
cercano-stats
Summarize Cercano usage into a Markdown report of local versus cloud tokens.
cercano-document
Generate Go doc comments for exported symbols using a local AI model.
cercano-init
Scan a repository and write a .cercano/context.md file.
cercano-summarize
Summarize text or files locally via Cercano and Ollama.
cercano-config
Query and update Cercano runtime configuration for local models and endpoints.
cercano-explain
Explain code or text via Cercano with Ollama to reveal purpose, interfaces, and data flow.
cercano-classify
Classify text locally via Cercano with Category, Confidence, and Reasoning.
cercano-models
List available models on a connected Ollama instance.
cercano-fetch
Fetch URLs and extract full plain text from HTML locally.
cercano-local
Route prompts to local Cercano and Ollama servers for private AI inference.
cercano-research
Perform local web searches and synthesize citation-backed answers offline via Cercano.
Frequently Asked Questions About GoogleDevRelExplorations
FAQPage SchemaWhat specific tasks can be performed using these capabilities?▼
These capabilities enable local text classification, Go documentation generation, HTML content extraction, and repository context mapping. Users can perform private inference to summarize files, explain code interfaces, and synthesize research answers without transmitting data to external cloud providers.
Which personas benefit most from these technical skills?▼
Software engineers and technical writers working in secure environments benefit most from these skills. They are designed for developers needing to document Go codebases, classify internal documentation, or perform private research tasks while maintaining strict data residency requirements.
What are the prerequisites for running these local inference tasks?▼
Execution requires a functional Ollama instance to serve as the backend for local model inference. Users must configure the runtime environment to point to their local server and ensure the repository structure is initialized with the necessary context files for accurate processing.