Notysoty

Improves AI prompts to be clearer, more specific, and produce more consistent outputs.

Reviews UI code and components for WCAG 2.1 accessibility violations and provides specific fixes.

Takes a long-form article and repurposes it into multiple formats: tweet thread, LinkedIn post, TL;DR, and key quotes.

Generates OpenAPI-compatible documentation for REST API endpoints from code or route definitions.

Generates a detailed, SEO-optimized blog post outline with H2/H3 structure, key points per section, and a hook.

Writes a blameless incident postmortem document from an incident timeline or Slack thread.

Builds a structured troubleshooting guide with symptom → cause → fix format for any tool or system.

Reviews existing unit tests for gaps, weak assertions, and missing edge cases, then rewrites them to be more robust.

Designs an eval suite for an LLM agent or pipeline including success metrics, trajectory scoring, LLM-as-judge setup, and regression test cases.

Writes a complete product spec for an AI-powered feature including user stories, model requirements, fallback behavior, and evaluation criteria.

Designs RESTful API endpoints following OpenAPI spec and industry best practices.

Reviews an AI-generated response or LLM application output for factual risks, hallucination patterns, and confidence calibration issues.

Designs a secure authentication and authorization flow for any application, covering login, sessions, roles, and edge cases.

Compares two versions of a codebase or API and flags all breaking changes with migration hints.

Recommends the right caching layer, TTL strategy, and invalidation approach for any application bottleneck.

Writes a high-quality CLAUDE.md, .cursorrules, or .windsurfrules file that gives a coding agent the right project context, conventions, and constraints to work effectively.

Reads a codebase or system description and produces a clear, structured architecture overview with diagrams.

Systematically diagnoses bugs by tracing execution flow and identifying root causes vs symptoms.

Generates production-ready docker-compose.yml files for any application stack.

Maintains and formats a CHANGELOG.md following Keep a Changelog conventions from git history or PR list.

Runs a systematic checklist review on any code diff or file, covering correctness, security, performance, and readability.

Diagnoses why tests pass inconsistently and suggests fixes for timing, ordering, and state isolation issues.

Generates conventional commit messages from staged changes or a diff.

Converts a workflow description into a LangGraph node/edge graph with typed state, conditional routing, and human-in-the-loop checkpoints.

Helps design and implement Model Context Protocol (MCP) server integrations for AI agents.

Writes clear migration guides for library upgrades, breaking API changes, or framework version bumps.

Reviews a service or codebase against a full observability checklist — logs, metrics, traces, and alerting gaps.

Designs a complete Retrieval-Augmented Generation (RAG) pipeline for a given use case, including chunking strategy, embedding model selection, and retrieval approach.

Creates a safe, step-by-step plan to refactor messy code without breaking existing behavior.

Reviews HTML/CSS or component code for responsive design issues across mobile, tablet, and desktop breakpoints.

Analyzes and rewrites content to maximize search engine visibility without sounding robotic.

Reviews database schemas for normalization issues, missing indexes, naming inconsistencies, and scalability risks.

Audits a codebase or docs folder and lists everything that is undocumented, outdated, or unclear.

Parses raw error logs and produces a concise, prioritized summary of unique issues with root cause hints.

Configures end-to-end tracing for an LLM application using OpenTelemetry with LangSmith, Langfuse, or Helicone — span naming, metadata tagging, latency thresholds, and cost tracking.

Writes clear, thorough pull request descriptions from a diff or list of changes.

Analyzes React components for performance, accessibility, and modern hook usage.

Generates clear, user-friendly release notes from a git log or list of PRs.

Reviews SQL queries for performance issues and rewrites them with optimized execution plans.

Systematically identifies edge cases and boundary conditions for any function, API, or user flow.

Generates a comprehensive FAQ section for any product, API, or documentation page.

Designs a hybrid retrieval pipeline combining dense vector search and BM25 sparse search with reciprocal rank fusion, and explains when to use each configuration.

Generates robust Playwright end-to-end tests for web pages and user flows.

Reviews LLM application prompts and input handling for direct and indirect prompt injection vulnerabilities, then writes defensive scaffolding.

Sets up a prompt versioning system with naming conventions, diff tracking, A/B evaluation gates before promotion, and rollback triggers.

Converts a blog post, idea, or document into an engaging Twitter/X or LinkedIn thread with hooks and CTAs.

Identifies and prioritizes technical debt in a codebase with an effort/impact matrix.

Generates comprehensive unit tests for any function or module with edge cases.