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Mostrando SKILL.md
Design-first API development skill. Generates OpenAPI 3.1 specifications, enforces REST design best practices, validates endpoints, handles versioning, pagination, error formatting, authentication patterns, rate limiting, and idempotency. Activates when users say "design an API", "create OpenAPI spec", "API endpoint", "REST API design", "API contract", "Swagger/OpenAPI doc", "API versioning", "rate limiting", or "API security". Covers REST, GraphQL schema design, and gRPC proto generation with cross-protocol consistency.
AI-powered GraphQL API design, implementation, and optimization. Covers schema-first design, resolver architecture, query optimization with DataLoader for N+1 prevention, mutation patterns with idempotency, real-time subscriptions, Apollo Federation for distributed graphs, security hardening (depth limiting, rate limiting, authz), and production performance (persisted queries, caching, CDN integration). Primary keyword clusters: GraphQL schema design best practices, Apollo Federation subgraph patterns, DataLoader N+1 query optimization, GraphQL security depth limiting rate limiting, GraphQL persisted queries performance, GraphQL subscription real-time patterns, GraphQL error handling union types, GraphQL pagination relay cursor connection, GraphQL caching strategies production, GraphQL resolver architecture patterns. Designed for agentic platforms — Claude Code, Codex, Cursor, Gemini CLI, OpenClaw, GitHub Copilot, Windsurf, and OpenCode.
Use this skill when an agent needs to call a website's hidden or undocumented API: capture real browser requests into a HAR file, derive the exact request shape, build a clean replayable client, verify it outside the browser, and reuse the verified client. Activates when a backend has no documented API, or when you must reproduce the precise request (method, URL, headers, JSON body) of an action you can only perform in a browser. Authorized use only — never to bypass auth or bot detection.
| name | pitch-packager |
| description | Use when the user needs buy-in or a review-ready summary. |
| version | 1.0.0 |
| license | MIT |
| author | Neeeophytee (original), Skill Foundry (packaged) |
| platforms | ["linux","macos","windows"] |
| metadata | {"hermes":{"tags":["pitch","review","documentation"],"related_skills":["finding-unknowns","implementation-notes"]}} |
Reviewers start with the same unknowns the builder started with, plus one more: whether the builder accounted for the failure points an expert would probe. A good pitch doc kills both in one read.