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vikast908

@vikast908 source repo

9 published skills

  1. ▌
    UX Audit · vikast908 bundle
    Use when the user wants a UX / UI / interaction-design review or redesign of an app, dashboard, editor, canvas, AI/agentic product, web app, or mobile app — including microinteractions, motion, loading, error recovery, empty states, accessibility, perceived performance, and AI trust/observability. Triggers on "audit my UX", "review the interface", "redesign this flow", "is this UI good", "microinteraction review".
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  2. ▌
    Report Card · vikast908
    Use when the user wants ONE combined quality grade for an AI-agent / LLM-app repo instead of running each review separately — auto-detects which reviews apply, runs them, dedupes overlapping findings, and emits a single overall grade, a per-area scorecard, and a prioritized cross-cutting fix list. Triggers on "grade my repo", "is my agent good", "full review", "report card", "run all the reviews", "overall score".
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  3. ▌
    Agent Security · vikast908
    Use when the user wants a security review of an AI/agent/LLM app — prompt injection, secret handling, tool permission scoping, sandboxing, data exfiltration, SSRF via tools, unsafe output handling, over-broad agent autonomy, and the OWASP LLM Top 10. Triggers on "is my agent secure", "security review", "can this be prompt-injected", "review for vulnerabilities", "is it safe to give the agent these tools".
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  4. ▌
    Product Review · vikast908
    Use when the user wants a product / PM / product-market-fit review of what their repo actually does — evaluating the customer problem, target users, jobs-to-be-done, core functionality, value & differentiation, scope, adoption/usability, positioning, and gaps. Triggers on "is this useful", "review my product", "PMF check", "who is this for", "what's missing", "product critique".
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  5. ▌
    Prompt Quality · vikast908
    Use when the user wants to review the craft of the prompts in an AI/agent repo (not their token cost or injection safety) — clarity, structure, system/developer/user role separation, contradictions, brittle string concatenation, output contracts, few-shot quality, edge-case handling, testability, and maintainability. Triggers on "review my prompts", "are my prompts good", "improve this prompt", "why is the model ignoring instructions", "prompt engineering review".
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  6. ▌
    Token Efficiency · vikast908
    Use when the user wants to reduce LLM token usage, context-window pressure, or API cost in an AI/agent codebase without hurting quality — reviewing prompt construction, context assembly, chat-history retention, tool definitions, retrieval, caching, batching, and output verbosity. Triggers on "reduce token usage", "cut LLM costs", "we're burning tokens", "optimize context", "why is this so expensive".
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  7. ▌
    Agent Reliability · vikast908
    Use when the user wants to know whether an AI agent / tool-using loop will survive the real world — reviewing loop termination, tool error handling, retries/backoff, idempotency, timeouts, state & resumability, guardrails, determinism, rate limits, graceful degradation, and observability/tracing. Triggers on "is my agent reliable", "review the agent loop", "why does the agent hang/loop forever", "production-readiness of my agent".
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  8. ▌
    Accessibility Audit · vikast908
    Use when the user wants a WCAG 2.2 accessibility review of a UI — semantics, keyboard operability, focus management, color contrast, ARIA, forms/labels, reduced-motion, and screen-reader support, including streaming AI output via live regions. Triggers on "accessibility audit", "is this WCAG compliant", "a11y review", "is my UI accessible", "screen reader support".
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  9. ▌
    Agent Eval Coverage · vikast908
    Use when the user wants to know whether their AI/agent repo has the evals and tests needed to trust changes — checking for golden/regression test sets, prompt regression tests, LLM-as-judge, behavioral & tool-use tests, hallucination/safety checks, CI gating, and metrics. Triggers on "do I have enough evals", "how do I test my agent", "would I know if a prompt change broke things", "eval coverage", "regression tests for prompts".
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