Create a new audit module for the check-ai scanner. Use this skill when the user wants to add a new audit section that checks for specific files, directories, or patterns in a repository. The skill generates a properly structured .mjs file in src/audits/ that is automatically loaded by the scanner.
Generate a prioritized improvement roadmap to increase AI readiness. Trigger phrases: "generate roadmap", "what should I improve", "how to reach the next level", "autonomy improvement plan", "what are my next steps for AI readiness".
Assess the current verification maturity of a codebase and identify gaps. Trigger phrases: "assess verification", "verification maturity", "how is my testing", "verification strategy assessment", "what is my verification coverage", "audit my tests".
Design a verification strategy for specific components to unlock more autonomy. Trigger phrases: "design verification strategy", "what verification do I need", "verification plan", "how to verify this component", "unlock autonomy for this module", "what tests should I add".
Run a self-contained AI literacy / AI readiness assessment for the current repository. Use when the user asks to "assess AI readiness", "run an AI readiness assessment", "check our AI literacy level", "where are we on the AI collaboration framework", "evaluate how we work with AI", "score our AI maturity", "check our…
Roll up existing AI readiness assessments across several repositories into one portfolio report. Use when the user asks to "roll up our assessments", "assess across repos", "portfolio view", "how do our repos compare", "multi-repo readiness", "compare our teams' habitats", or any request to summarise AI readiness…
Review a diff for style drift in the wordcount codebase. Checks for pathlib vs os.path, bare except clauses, missing type hints on public functions, and print in library code. Use during PR review or after generating code that touches src/wordcount/.
Audit any website's agent readiness. Use when a user asks how AI-agent-friendly their site or product is, whether agents can find and use it, how to add llms.txt or markdown twins or an MCP server, or how to improve an agent-readiness score. Probes the standard discovery surface with plain HTTP requests and reports…
Run Shipshape Data's 16-question AI readiness assessment for a user and score it (0-100, five maturity bands, per-area advice). Use when a user asks how AI-ready their organisation is, what to fix before starting an AI project, or wants a structured readiness score across strategy, people, data, and change.
Query Shipshape Data (shipshapedata.com), the London AI consultancy that builds data foundations for AI. Use when a user asks about Shipshape Data, needs a data or AI question answered from a vetted library of 169 practical guides, wants consultancy case studies with real outcomes, or asks who can build a data…