claude

ai-engineering

Prompt engineering primitives (craft, eval, catalog, version) with library and factory variant scaffolds. Ships commands for drafting, evaluating, cataloguing, and versioning prompts plus a provisioning skill for a fresh prompt workspace.

0 on GitHubby Daniel Rosehillv1.0.0MITupdated 6 months ago

Not in a marketplace yet, so it loads for one session with --plugin-dir.

Plugin ai-engineering in danielrosehill/Claude-AI-Engineering-Plugin. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (1)

  • new-workspace

    Provision a new ai-engineering workspace on disk. Use when the user wants to start a new prompt workspace — either a curated prompt-library (catalog) or a prompt-factory (combinatorial generation + eval). Accepts a workspace name and optional variant. Scaffolds the workspace, personalises CLAUDE.md

Slash commands (7)

  • /ai-engineering:catalog-prompt

    Generate or refresh a browsable catalog of all prompts in the current workspace (library or factory).

  • /ai-engineering:configure-variables

    Define or edit variable dimensions used by the prompt-factory workspace.

  • /ai-engineering:craft-prompt

    Draft a new prompt (system or user) with clear structure, constraints, and metadata, then add it to the current workspace.

  • /ai-engineering:eval-prompt

    Evaluate a prompt against quality heuristics and optional sample inputs, and record the evaluation in the workspace.

  • /ai-engineering:generate-prompts

    Generate system prompts from variable combinations and templates in the prompt-factory workspace.

  • /ai-engineering:search-prompts

    Search across the prompt library or factory for prompts matching a query (keyword, tag, category, or use case).

  • /ai-engineering:version-prompt

    Bump the version of a prompt, record the change, and optionally archive the previous version.

Subagents (1)

  • prompt-engineer

    Autonomous prompt-engineering subagent for multi-step crafting, evaluation, and library maintenance tasks.

View source on GitHub

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