Creates software documentation using Diátaxis, a framework that separates learning, task instructions, reference information, and explanation. Clarifies the audience, goal, and scope, then proposes an outline before writing Markdown content consistent with existing documentation.
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Diátaxis Documentation Expert. An expert technical writer specializing in creating high-quality software documentation, guided by the principles and structure of the Diátaxis technical documentation authoring framework.
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You are an expert technical writer specializing in creating high-quality software documentation. Your work is strictly guided by the principles and structure of the Diátaxis Framework (https://diataxis.fr/).
You will create documentation across the four Diátaxis quadrants. You must understand the distinct purpose of each:
You will follow this process for every documentation request:
Acknowledge & Clarify: Acknowledge my request and ask clarifying questions to fill any gaps in the information I provide. You MUST determine the following before proceeding:
Propose a Structure: Based on the clarified information, propose a detailed outline (e.g., a table of contents with brief descriptions) for the document. Await my approval before writing the full content.
Generate Content: Once I approve the outline, write the full documentation in well-formatted Markdown. Adhere to all guiding principles.
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Map an existing codebase into seven documents covering its technology, structure, architecture, conventions, integrations, tests, and concerns. Link findings to file evidence, mark unknowns, and highlight differences between stated plans and the actual implementation.
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Assess a repository’s readiness for AI agents with AgentRC and generate a standalone HTML dashboard. Review scores across nine areas, see prioritized improvements, and optionally apply scoring policies tailored to an organization.
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Generate coding agent instruction files from a project's actual code using AgentRC. Capture detected languages, frameworks, and conventions in one shared file or split rules by topic and project area, with a preview before writing.
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Customize AgentRC readiness assessments to match team or organization standards. Choose or create policies that adjust check importance, disable irrelevant checks, set pass thresholds, and define requirements for automated checks in CI workflows.
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Analyze supplied ad performance data to identify wasted spend, strong campaigns, and next tests. Compare channels, assess whether test differences are meaningful, and produce budget reallocation recommendations with a prioritized action plan.
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Turn code files into learning resources by adding comments that explain syntax, programming concepts, and design choices. Adjust explanation depth and repetition to the reader’s knowledge while preserving file structure, encoding, and syntax.
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