Walks a learner through the Razorpay Org-Wide AI Playbook one belt at a time, reading the same Markdown the HTML hub serves and tracking progress in a LEARNER.md file in the working directory. Triggers on phrases like "start the playbook", "start white belt",…
razorpay/ai-playbook
SkillsMP has collected 7 skills from razorpay/ai-playbook. Open a skill to review its source and details.
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Showing 7 of 7 collected skills.
Runs the 10-point environment health check the playbook uses to gate White Belt's Quest W-0. Produces GREEN / YELLOW / RED status per check with one-line fixes for any non-green result. Activate when the user runs the setup script, finishes onboarding, or…
Run a per-file design-system drift scan on a Razorpay UI file. Reads the file, scans for raw colour or spacing values where Blade tokens exist, ad-hoc components shaped like Blade primitives, missing variants, and accessibility-attribute drift. Trigger…
Reads a Figma frame and produces structured design intent that the production-compiler can consume. Outputs a Markdown document naming the components used (with Blade equivalents where they exist), the layout shape, the interaction states, the variants, and…
Run a six-layer structured review on a branch's diff before opening or merging a PR. The six layers are redlines, design system, tests, PR craft, prompt craft, and behaviour preservation. Trigger phrases include "run pre-ship-check on this branch",…
Takes raw AI-generated UI code (typically from AI Studio, ChatGPT, or a similar prompt-based UI generator) plus optional design-intel and produces Blade-compliant JSX. Three layers: component substitution (raw primitives → Blade primitives), token application…
Spawn a security-review subagent with the canonical six-check brief and consume the structured findings. The skill reviews a branch's diff for redlines, prompt-injection capability creep, untrusted-input handling, output exposure, injection-vulnerable shapes,…