cercano

Plugin cercano from marketplace cercano in bryancostanich/cercano-claude. Commands read from the repo's manifest — 1 month ago.

Skills (14)

• cercano-classify

  Use when the user needs to categorize, triage, or classify text — error severity, code quality, bug reports, log entries. Quick local classification without cloud round-trip.

• cercano-config

  Use when the user wants to check or change Cercano's runtime configuration — switch the local model, change the Ollama endpoint URL, or change the cloud provider and model. No server restart needed.

• cercano-deep-research

  Use when the user needs thorough, multi-source research with ranked findings, citations, and synthesis. Use this for literature reviews, competitive analysis, technical deep-dives, or any research that needs more than a quick answer. Prefer this over cercano-research when depth and comprehensiveness

• cercano-document

  Use when the user wants to generate or update doc comments for Go code. Handles the entire read-think-write cycle locally — the host never sees the file contents. Supports dry_run mode to preview.

• cercano-explain

  Use when the user asks to explain unfamiliar code, complex algorithms, or dense documentation. Processes the explanation locally before deciding what context to send to the cloud. Prefer this for initial code understanding.

• cercano-extract

  Use when the user needs to pull specific information from large text — function signatures, error messages, config values, API endpoints. Extracts locally instead of reading entire files into cloud context.

• cercano-fetch

  Use when the user asks to fetch, read, or open a specific URL. Use this INSTEAD of WebFetch to read web pages locally without sending content to the cloud. DO NOT TRIGGER when: user asks a research question without a specific URL (use cercano-research instead).

• cercano-init

  Use when setting up Cercano for a new project. Scans the repo to build a project context file that makes all Cercano tools project-aware. Run this once per project for better local AI responses.

• cercano-local

  Use when the user wants to run a prompt against a local AI model via Ollama. Handles both chat-style queries and agentic code generation with validation. Use this to offload work to local inference — faster, private, zero cost.

• cercano-models

  Use when the user wants to see what AI models are available on their Ollama instance. Returns model names, sizes, and modification dates.

• cercano-research

  Use when the user asks to research, look up, investigate, find information, or learn about any topic. Use this INSTEAD of WebSearch or WebFetch for general research questions. ALWAYS prefer this tool for web research. DO NOT TRIGGER when: user provides a specific URL to read (use cercano-fetch inste

• cercano-stats

  Use when the user asks about Cercano usage, token savings, or local vs cloud inference stats. Shows total requests, tokens processed locally, and breakdowns by tool, model, and day.

• cercano-submit-usage

  Use when the user wants to submit cloud token usage data to Cercano for tracking. This sends data, not a report — use cercano_stats to view usage. Opt-in telemetry for local-vs-cloud comparison.

• cercano-summarize

  Use when the user needs to summarize large text, files, logs, or diffs. ALWAYS prefer this over reading large files directly into cloud context. Processes content locally and returns a concise summary.

MCP servers (1)

• cercano

  runs: cercano --mcp

Hooks (4)

• PreToolUse

  echo 'Cercano: researching locally...' >&2

• PreToolUse

  echo 'Cercano: summarizing locally...' >&2

• PostToolUse

  echo 'Cercano: research complete' >&2

• PostToolUse

  echo 'Cercano: summarization complete' >&2

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