Browse 20,400 Prompts

Native iOS (Swift/SwiftUI) + Android (Kotlin/Jetpack Compose) + cross-platform (React Native/Flutter) — offline-first, biometric auth, push notifications, app store deployment (2026)

Adversarial validation agent — tries to break implementations across frontend, backend, CLI, mobile, data/ML, and infra; enforces command-backed PASS/FAIL/PARTIAL verdicts with adversarial probes (2026)

Production-quality SVG diagram generator — architecture, data flow, flowchart, sequence, agent/memory, UML, ER, network topology; 7 visual styles, semantic arrow vocabulary, shape taxonomy, layout rules, AI/Agent domain patterns; based on yizhiyanhua-ai/fireworks-tech-graph (Apr 2026)

Designer prompt for Anthropic's Claude Code sub-agents — when to use sub-agent vs skill vs inline, kebab-case naming, routing description authoring, least-privilege tool allowlists, isolated context discipline, output-contract lock-in, routing stress test; based on Anthropic's Claude Code Sub-Agents docs (Feb 2026) and wshobson/agents + VoltAgent/awesome-claude-code-subagents (2026)

Concise behavioral guardrails against common LLM coding mistakes — think before coding, simplicity first, surgical changes only, goal-driven verification; derived from Andrej Karpathy's observations on LLM coding pitfalls (Jan 2026)

Make your coding agent think like the laziest senior dev — YAGNI ladder, reuse-before-write, stdlib/native-first, one-line-when-possible, while keeping validation, security, accessibility, and error handling non-negotiable; ~54% less code in real agentic benchmarks; based on DietrichGebert/ponytail (MIT, 84k+ stars, June 2026)

Classic software engineering principles as binding agent rules — DRY at knowledge level, orthogonality, tracer bullets, ruthless feedback, automation, broken windows; MUST/SHOULD/MUST NOT policy for code generation and review; based on Hunt & Thomas and ciembor/agent-rules-books (2026)

Multi-book binding ruleset for AI coding agents — Clean Code (readability, naming, functions, side effects), Clean Architecture (dependency direction, boundaries, adapters), Domain-Driven Design (bounded contexts, aggregates, ubiquitous language), Designing Data-Intensive Applications (consistency, durability, replication, schema evolution); unified review checklist; based on ciembor/agent-rules-books (Apr 2026, 1.4k+ stars)

MCP-native code-intelligence architect for DeusData codebase-memory-mcp — index repos into a persistent knowledge graph (158 languages, Hybrid LSP, <1ms structural queries), map agent questions to the 15 MCP tools, design indexing/watch/artifact policies, and enforce query plans that replace file-by-file exploration; based on DeusData/codebase-memory-mcp (MIT, 37k+ stars, Feb 2026)

Cross-platform desktop app architect that feels indistinguishable from native — four-layer architecture (native shell → system WebView → Node backend → Rust core), eight architectural tenets, WebKit/WebView2 survival guide, 75-item ship audit, anti-patterns (Electron abstraction, Tauri control-loss, two UI codebases); based on yetone/native-feel-skill (May 2026, 1.2k+ stars)

Programming-language designer that treats agents as primary users — small regular surface, deep standard library, deterministic structured tooling, and explicit syntax; based on vercel-labs/zerolang (May 2026, 3.6k+ stars)

Multi-role tooling system designer for AI coding agents — CEO / Designer / Eng Manager / Release Manager / Doc Engineer / QA role definitions with explicit mandates and anti-scopes, review lattice (plan-review, code-review, pre-ship sign-off), slash-command invocation protocol, infrastructure roles (autoplan, guard, benchmark, learn, retro), team-mode shared configuration with silent auto-updates; opinionated over flexible, narrow over general, review over trust, explicit over implicit

Site reliability engineer — SLO/error budget framework, observability three pillars, golden signals, toil reduction, chaos engineering (2026)

Pixel-perfect website reverse-engineer — Chrome MCP reconnaissance, getComputedStyle() design-token extraction, parallel builder agents in git worktrees, component spec contracts with interaction-model discipline, visual QA diff; 95–99% accuracy for static pages; based on JCodesMore/ai-website-cloner-template (Mar 2026, 16k+ stars)

Senior cloud architect — multi-cloud (AWS/Azure/GCP), Well-Architected Framework, migration 6Rs, FinOps, zero-trust, disaster recovery, IaC (2026)

Production prompt extracted from developer Python & TypeScript codebases.

Production data infrastructure — dimensional modeling, dbt, pipeline architecture, data quality testing, metrics definition (2026)

Data pipeline specialist — Medallion Architecture (Bronze/Silver/Gold), PySpark + Delta Lake, dbt contracts, Great Expectations, Kafka streaming (2026)

Algorithmic ethics audit — fairness & bias, transparency, privacy, safety, accountability, societal impact, cross-cultural considerations, mitigation roadmap (2026)

VLA systems, robotic agents, world-model-driven embodied intelligence — perception-action grounding, sim-to-real pipelines, cross-embodiment transfer, skill primitives, physical safety gates; derived from 2026 embodied-AI research (StarVLA, EmbodiedClaw, VLA-World) (2026)

Spatial reasoning as spatio-temporal evidence accumulation — VLM planner + three-level spatial tool hierarchy (2D grounding → 3D lifting → spatial knowledge aggregation) + Scene/Agent memory; training-free improvements on open-source and closed-source VLMs; based on S-Agent (arXiv 2606.20515, June 2026)

Closed learning loop agent design — experience-driven skill creation, autonomous improvement nudges, cross-session memory with user modeling, multi-platform gateway, scheduled automations, model-agnostic backends; based on NousResearch/hermes-agent (2026, 140k+ stars)

Design the runtime, artifacts, constraints, and interfaces that let off-the-shelf CLI agents do metric-driven autonomous scientific discovery — permissions/artifact/budget/human-in-the-loop engineering, hidden-evaluator sandbox, parallel propose-implement loops, cost-capped exploration; based on EurekAgent (arXiv 2606.13662, June 2026; THU-Team-Eureka/EurekAgent)

End-to-end quantitative trading agent design — natural-language strategy generation, cross-market backtesting (A/HK/US equities, crypto, futures, forex), Shadow Account behavior extraction from broker journals, multi-agent trading teams (investment/quant/crypto/risk), 452-alpha factor zoo, persistent research memory; based on HKUDS/Vibe-Trading (Apr 2026, 7.6k+ stars)