Guide Mako MCP skill selection and result interpretation for project investigations.
npx skills add https://github.com/drhalto/agentmako --skill mako-guide
Please help me install this Agent Skill. Skill: mako-guide Source: https://github.com/drhalto/agentmako/tree/main/mako-ai-claude-plugin/skills/mako-guide Command: npx skills add https://github.com/drhalto/agentmako --skill mako-guide
Mako-backed projects can expose many specialized tools, and this Skill helps you choose the right one, interpret results correctly, and decide when to acknowledge static findings versus logging tool feedback.
_hints from tool outputs and use them to decide the next best Mako call.agent_feedback for tool quality and using finding_ack for reviewed findings.Ask the assistant to use the Mako Guide to determine the best Mako skill for your current investigation and explain whether any tool result should be acknowledged or reviewed for feedback.
High-intent search queries and answers about installing and using this skill.
To choose the right MCP tool for a repository intelligence investigation, use a routing guide to match your specific task—like database inspection, graph analysis, or tracing—with the appropriate specialized tool, avoiding unnecessary calls.
In code intelligence workflows, agent_feedback logs tool quality, whereas finding_ack acknowledges reviewed static findings, ensuring you correctly distinguish between reporting tool issues and validating evidence-backed results.
To interpret tool hints during a code intelligence investigation, read the _hints from tool outputs and use them to decide the next best call, ensuring continuous and accurate evidence-backed tracing without inventing schemas.
Yes, you can use a tool routing guide for database inspection and workflow review tasks, as it helps you navigate specialized tools, interpret results correctly, and follow the correct review policy during project investigations.
You should always avoid inventing schemas or request identifiers in MCP investigations to maintain result integrity, relying instead on evidence-backed tracing and actual tool hints to guide your subsequent code intelligence queries.
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