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awesome-prompts
Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering pa…
git clone https://github.com/ai-boost/awesome-prompts
Awesome Prompts 🪶
Curated prompts, frameworks, and papers — with an engineering bias.
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The prompt engineering world has split into two camps:
- Camp 1 — Prompt templates: collect system prompts, share copy-paste recipes, curate persona prompts. Useful, but limited.
- Camp 2 — Prompt as engineering: compile LM programs (DSPy), test and regress prompts (promptfoo), control generation structurally (Guidance), optimize prompts automatically (TextGrad, GEPA). This is where the long-term value is.
This repo covers both. The engineering camp gets more space.
Prompts
All prompts are open — click, copy, use directly.
Coding & Development
| Name | Description | Prompt |
|---|---|---|
| 🤖 Agentic Coder | Plan-first coding agent — security checklist, test discipline, PR summary format (2025) | prompt |
| 🔔 Proactive Coding Agent Architect | Design coding agents that notice what matters before being asked — reactive / scheduled / situation-aware levels, insight policy (monitor → evaluate → decide → ground → adapt), emission gates, developer context model, and feedback-driven learning; based on "Agentic Coding Needs Proactivity, Not Just Autonomy" (arXiv 2605.06717, 2026) and Google's Jules evaluation work (June 2026) | prompt |
| 🪿 Goose AI Engineering Agent Operator | Vendor-neutral open-source AI engineering agent operator — MCP-native extension discipline, plan-then-execute loops, multi-provider awareness, least-privilege permission model; based on block/goose → aaif-goose/goose under the Linux Foundation Agentic AI Foundation (Apache-2.0, ~50k stars, June 2026) | prompt |
| ♊ Gemini CLI Prompt Architect | Gemini-CLI-optimized prompt engineer — four-element task prompts (goal/context/constraints/done-when), GEMINI.md discipline, built-in tool preferences (search/file/shell/fetch), MCP @-server mentions, multimodal inputs, and anti-patterns; based on google-gemini/gemini-cli (Apache-2.0, 105k+ stars, 2026) | prompt |
| 🛠 OpenAI Codex CLI Prompt Architect | Codex-optimized prompt engineer — four-element task prompts (goal/context/constraints/done-when), AGENTS.md discipline, tool preferences, and anti-patterns; based on OpenAI's official Codex Prompting Guide (Feb 2026) | prompt |
| 🧩 OpenAI Codex Skill Author | Author installable Codex skills in the official Agent Skills format — SKILL.md with trigger-tuned description, optional agents/openai.yaml for invocation policy and MCP dependencies, scripts-only-when-needed discipline, and progressive-disclosure context design; based on OpenAI's Codex Skills docs and github.com/openai/skills (2026, 22.6k+ stars) | prompt |
| 📐 Formal Theorem Proving Architect | Blueprint-driven Lean 4 prover — dependency-graph decomposition, parallel lemma proving, compiler-feedback refinement loops; 99.2% pass@1 on MiniF2F-test, 75.6% on PutnamBench; based on Goedel-Architect (arXiv 2606.06468, June 2026) | prompt |
| 🧪 Prototype Architect | Throwaway-prototype skill — logic prototypes (interactive TUI for state machines) and UI prototypes (radically different variants on a single route with floating switcher); based on mattpocock/skills (Jan 2026, 117k+ stars) | prompt |
| 🔍 Code Reviewer | Security-focused code reviewer — OWASP Top 10, severity grading, fix examples (2026) | prompt |
| 🕸 Multi-Agent Orchestrator | Central dispatch agent — task decomposition, parallel delegation, state tracking, error recovery (2026) | prompt |
| 🎛 Teams-First Multi-Agent Orchestrator | Teams-first multi-agent orchestration layer for Claude Code — 19 specialized agents with model routing (haiku/sonnet/opus), delegation rules, skill triggers, team pipeline (plan→prd→exec→verify→fix), structured commit trailers, and project memory; based on Yeachan-Heo/oh-my-claudecode (Feb 2026, 35k+ stars) | prompt |
| 🧱 Agent Harness Designer | System prompt for designing reliable agent runtimes — tool minimization, approval gates, memory/compaction, rollback, observability, evals; derived from OpenAI/Anthropic harness guidance (2026) | prompt |
| ⚡ Agent Harness Performance Engineer | Cross-harness agent harness optimization — token economics, memory persistence hooks, continuous learning via instinct extraction, verification loops, parallelization, security scanning; based on affaan-m/everything-claude-code (Jan 2026, 182k+ stars) | prompt |
| 💰 Agent Cost Observability Architect | End-to-end cost observability and budget-governance system for AI coding agents — multi-provider token telemetry, real-time TUI/menubar dashboards, per-project budget envelopes, cost-anomaly detection, optimization recommendation loops, forecast-and-actual tracking; based on getagentseal/codeburn (Apr 2026, 7.2k+ stars) | prompt |
| 📁 Agent Virtual Filesystem Architect | Unified virtual-filesystem layer for AI agents — mount topology, resource adapters, bash-tool surface, two-layer cache, snapshots/cloning, framework integration; based on strukto-ai/mirage (May 2026, 2149 stars) | prompt |
| 🧹 Agent State Hygiene Architect | Local-agent state maintenance architect — inspect-before-mutate discipline, report-first workflow, archive-don't-delete policy, handoff-doc continuity, session metadata bloat detection, stale worktree pruning, log rotation, and config hygiene; based on vibeforge1111/keep-codex-fast (May 2026, 1.2k+ stars) | prompt |
| ⚙️ Autonomous Software Factory Orchestrator | Chat-driven autonomous development orchestrator — human sets direction via lightweight messages, self-coordinating claws execute planning/build/test/review/push loops; notification routing (git/tmux/GitHub/lifecycle) kept strictly outside agent context windows; based on ultraworkers/claw-code (Mar 2026, 191k+ stars) | prompt |
| 🖥 Computer Use Operator | System prompt for browser/desktop agents — observe → act → verify loops, least privilege, confirmation gates, phishing/prompt-injection resistance; derived from OpenAI's 2026 computer-use guidance | prompt |
| 🌐 Browser Harness Designer | Self-healing browser harness architect — direct CDP websocket, thin editable runtime, agent-generated helper layer, domain/interaction skill separation; based on browser-use/browser-harness (Apr 2026, 12k+ stars) | prompt |
| 🎭 Webwright Browser Agent | Microsoft SWE-style browser agent — code-as-action Playwright automation, critical-point plan, screenshot evidence, self-verification loop, one-shot vs parameterized CLI modes; based on microsoft/Webwright (Apr 2026, 4.6k+ stars) | prompt |
| 🖼 UI-TARS Desktop Agent Operator | Vision-language model driven GUI agent operator — screenshot-first observation, structured mouse/keyboard actions, GUI/browser/remote operator modes, MCP tool mounting, event-stream context engineering; based on bytedance/UI-TARS-desktop (2026, 36.6k+ stars, Apache-2.0) | prompt |
| 🖥 Agent-Native CLI Designer | Agent-native CLI architect for GUI software — 7-phase SOP to wrap any GUI app into a stateful, agent-usable CLI with REPL + subcommand modes, backend integration, test planning, and SKILL.md generation; based on HKUDS/CLI-Anything (Mar 2026, 34k+ stars) | prompt |
| 🧩 Agent Skill Designer | Prompt for packaging reusable agent skills — narrow scope, tool-aware workflow, safety rules, verification checklist, SKILL.md draft output; derived from Anthropic/Google skill guidance (2026) | prompt |
| 🧠 Managed Agent Architect | Prompt for designing long-running managed-agent systems — brain/hands split, worker contracts, checkpoints, permission scoping, recovery; derived from Anthropic/OpenAI 2026 harness guidance | prompt |
| 🔌 Agent Protocol Advisor | Prompt for choosing MCP vs A2A vs simpler transports — protocol mapping, trust boundaries, ownership, retries, migration plan; derived from Google's 2026 protocol guide | prompt |
| 🔌 A2A Agent Protocol Architect | Architect A2A-compliant agent-to-agent systems — AgentCard discovery, Task lifecycle, Message/Part/Artifact contracts, JSON-RPC/gRPC/HTTP bindings, async streaming, OAuth/mTLS security, idempotency, versioning; based on the A2A open protocol (Google → Linux Foundation, v1.0 2026, 22k+ stars, Apache-2.0) | prompt |
| 🧮 Agentic Code Reasoner | Prompt for evidence-backed code reasoning — semi-formal reasoning chain, competing hypotheses, verification-first conclusions for complex code understanding (2026) | prompt |
| 🧠 ADHD Parallel Ideation Skill | Parallel divergent ideation for coding agents — spawns N isolated branches under cognitive frames (hardware/regulator/biology/speedrunner/etc), scores/clusters/prunes traps, deepens survivors; mechanical generator/critic split with zero shared context during divergence; for architecture, naming, API design, and fuzzy-debugging decisions; based on UditAkhourii/adhd (May 2026, 717+ stars, The New Stack featured, preprint) | prompt |
| 📨 Multi-Agent Communication Designer | Prompt for designing agent-to-agent message protocols — topology choice, message fields, conflict handling, graph/schema vs free-text tradeoffs (2026) | prompt |
| 🕸 Multi-Agent Topology Selector | Prompt for choosing single/parallel/sequential/hierarchical/hybrid agent topologies — communication cost, ownership, failure controls, human review points (2026) | prompt |
| 🤝 Agent Cooperation Designer | Prompt for designing cooperative multi-agent systems — shared objective, local roles, disagreement rules, anti-herding controls, evaluation signals (2026) | prompt |
| 🎛 Vendor-Diverse Multi-Agent Ensemble Designer | Prompt for designing multi-agent ensembles that DELIBERATELY mix vendors (Claude / GPT / Gemini / DeepSeek / Qwen / Llama) — role-to-vendor mapping for complementary inductive biases, disagreement-as-signal arbitration, vendor-correlated failure audit, monoculture controls, version pinning; based on MIT/Harvard "Multi-Agent LLM Systems for Clinical Diagnosis: The Impact of Vendor Diversity" (arXiv 2603.04421, 2026) — generalised beyond clinical to any high-stakes ambiguous task | prompt |
| 🗄 SQL Assistant | Senior DB engineer — query writing (CTE-first), optimization (EXPLAIN-driven), schema design, multi-dialect (2026) | prompt |
| 🐛 Debugging Agent | Systematic bug hunter — reproduce → observe → hypothesize → test → localize → fix; works for any language (2026) | prompt |
| 🎯 Disciplined Diagnostician | Disciplined diagnosis loop for hard bugs and performance regressions — feedback-loop construction, falsifiable hypotheses, instrumented probes, correct regression-test seams, cleanup protocol; based on mattpocock/skills (Feb 2026) | prompt |
| 🏗 System Design | Staff-level architect — clarifies requirements first, capacity estimation, component trade-offs, failure modes (2026) | prompt |
| 📐 Spec-Driven Development Architect | Spec-first system designer — structured mission/tech-stack/roadmap/requirements/scenarios/validation packages; RFC 2119 discipline, delta specs for changes, small-phase decomposition; based on 2026 spec-driven development best practices (2026) | prompt |
| ⚡ Performance Profiler | Performance engineering expert — baseline → bottleneck analysis → impact-ranked optimization plan with code examples (2026) | prompt |
| 🔧 Refactoring Coach | Refactoring specialist — diagnose code smells, sequence safe Fowler-catalog transforms, preserve behavior at every step (2026) | prompt |
| 🔗 API Integration Architect | Integration architect — pattern selection, auth, retry/backoff, idempotency, observability for reliable system-to-system integrations (2026) | prompt |
| 🗃 Database Schema Designer | DB architect — entity modeling, normalization (1NF–3NF), index strategy, PostgreSQL DDL with migration notes (2026) | prompt |
| 🧪 Test Strategy Architect | Testing architect — risk-based test pyramid, tooling, coverage targets by layer, 4-week implementation roadmap (2026) | prompt |
| ⚡ Claude Artifacts | System prompt for generating rich Claude Artifacts (UI, interactive apps, code) | prompt |
| 💻 Professional Coder | Expert coding assistant — auto programming, project generation, any language | prompt |
| 🎨 Design System Spec Architect | Prompt for authoring DESIGN.md design-system specifications — machine-readable YAML tokens + human-readable rationale, component definitions, state variants, and WCAG-safe palettes; derived from Google Labs' 2026 design.md specification (2026) | prompt |
| 🎨 Generative UI Architect | Component-first, design-system-native UI generation — states, tokens, accessibility, responsive layouts, typed code output (2026) | prompt |
| 🎨 Open Design Orchestrator | Local-first, agent-agnostic design producer — skill-driven prototype/deck workflows, 72+ brand-grade design systems, deterministic visual directions, five-dimensional self-critique, multi-modal export (HTML/PDF/PPTX/MP4); based on nexu-io/open-design (Apr 2026, 38k+ stars) | prompt |
| 🎨 Magazine Web Deck Designer | Single-file HTML horizontal-swipe deck architect — two locked visual styles (Editorial Magazine × Electric Ink vs Swiss Internationalism), WebGL hero backgrounds, 10–22 registered layout skeletons, locked theme presets, Motion One choreography, typography-first discipline; based on op7418/guizang-ppt-skill (Apr 2026, 8590 stars) | prompt |
| 🎨 HTML PPT Studio Designer | Professional static HTML presentation architect — 36 themes, 15 full-deck templates, 31 layouts, 47 animations (27 CSS + 20 canvas FX), true presenter mode with pixel-perfect previews + speaker script + timer; token-based design system, keyboard runtime, no build step; based on lewislulu/html-ppt-skill (Apr 2026, 4676 stars) | prompt |
| 🎨 Frontend Taste Engineer | Senior UI/UX engineer that overrides default LLM biases toward generic UI — metric-based design rules (variance/density/motion dials), anti-slop guardrails, CSS hardware acceleration, spring physics, liquid-glass refraction, and premium interaction states; based on Leonxlnx/taste-skill (Apr 2026, 17.5k+ stars) | prompt |
| 🎨 Anti-AI-Slop Design Architect | Structural-variety-first design skill — refuses LLM-default rhythms, enforces 69-gate slop test, locked-token discipline, honest-copy rule, pre-emit 6-axis self-critique, and four verbs (default/audit/redesign/study); based on Nutlope/hallmark (Apr 2026, 2.4k+ stars) | prompt |
| 🎨 HTML-Native Design Orchestrator | Single-sentence-to-ship design skill — interactive prototypes, HTML decks, motion design (MP4/GIF), infographics, and 5-dimension expert critique; enforces Core Asset Protocol (logo → product shots → UI → color → font), Junior Designer workflow, anti-AI-slop rules, and 5-schools×20-philosophies design direction advisor; based on alchaincyf/huashu-design (Apr 2026, 14k+ stars) | prompt |
| 🖥 Frontend Developer | React/Vue/Angular expert — component architecture, Core Web Vitals, WCAG 2.1, responsive design, TypeScript, performance budgets (2026) | prompt |
| 🌐 Web Quality Auditor | Comprehensive frontend quality audit — Lighthouse-driven performance (Core Web Vitals), accessibility (WCAG 2.2 AA), technical SEO, and best practices; severity-graded findings with file:line citations and concrete fixes; based on addyosmani/web-quality-skills (2026) | prompt |
| 📲 Mobile App Builder | Native iOS (Swift/SwiftUI) + Android (Kotlin/Jetpack Compose) + cross-platform (React Native/Flutter) — offline-first, biometric auth, push notifications, app store deployment (2026) | prompt |
| 🍎 SwiftUI Code Reviewer | Production-grade SwiftUI code reviewer — deprecated API modernization, data flow validation, accessibility audit (Dynamic Type/VoiceOver/Reduce Motion), performance optimization, Swift 6.2 concurrency, navigation patterns, code hygiene; based on twostraws/SwiftUI-Agent-Skill (Mar 2026, 3.9k+ stars) | prompt |
| 🤖 Jetpack Compose Architect | Production-grade Jetpack Compose code architect — state authoring/hoisting/holder patterns, recomposition performance, stability diagnostics, deferred reads, side-effect lifecycle, Kotlin Flow state/event modeling, accessibility and Material 3 compliance; based on chrisbanes/skills (May 2026, 660 stars) | prompt |
| ⛓️ Solidity Smart Contract Engineer | Security-first Solidity — checks-effects-interactions, ERC-20/721/1155, UUPS/diamond proxies, DeFi primitives, gas optimization, Foundry fuzz/invariant testing, L2 deployment (2026) | prompt |
| ⚡ Solana Blockchain Architect | Production-grade Solana program design — Rust/Anchor, account-model discipline, PDA derivation/CPI safety, SPL Token/Token-2022, compute-unit optimization, reinitialization defense, signer/owner validation, solana-program-test verification; based on solana-foundation/solana-dev-skill (Mar 2026, 493 stars) | prompt |
| 🧠 Emotion-Aware Engineering Partner | Senior coding partner grounded in Anthropic's 2026 emotion-vectors research — incremental delivery, honest uncertainty calibration, collaborative pushback, debugging transparency (2026) | prompt |
| ✅ Verification Specialist | 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) | prompt |
| 🏛 Tech Debt Auditor | Whole-repo structural audit — nine-dimension debt sweep (architectural decay, consistency rot, type debt, test debt, dependency rot, performance hygiene, observability, security hygiene, documentation drift); forced orientation before judgment, mandatory file:line citations, required "looks bad but is actually fine" section; based on ksimback/tech-debt-skill (Apr 2026) | prompt |
| 🧐 Doubt-Driven Development Architect | Fresh-context adversarial review for non-trivial decisions — CLAIM → EXTRACT → DOUBT → RECONCILE → STOP cycle; isolates artifact + contract, forbids passing the claim to the reviewer, bounds doubt theater, offers cross-model escalation; based on addyosmani/agent-skills (2026, 54.7k+ stars) | prompt |
| 🎯 Andrej Karpathy Coding Guidelines | 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) | prompt |
| 🧰 Coding Agent System Prompt | Production-grade system prompt for CLI coding agents — identity, permission model, task execution discipline, code style constraints, risk-aware action, tool usage protocol, output efficiency; independently authored from patterns observed in Claude Code (Apr 2026) | prompt |
| 📊 Technical Diagram Engineer | 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) | prompt |
| 🧩 Claude Code Sub-Agent Designer | 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) | prompt |
| 🏛 Solution Architect | In-depth codebase study → concrete implementation plan — explores conventions, maps dependencies, presents multiple options with trade-offs, sequences reversible incremental steps, and surfaces open questions before any code is written; based on repowise-dev/claude-code-prompts (Apr 2026) | prompt |
| 🛠 Pragmatic Programmer | 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) | prompt |
| 📚 Classic Software Engineering Canon | 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) | prompt |
| 🦸 Superpowers Agentic Development Framework | Structured skill-driven software development methodology — 14 composable skills with activation triggers, red flags, procedural checklists, and verification criteria; 7-step workflow (brainstorm → plan → worktree → TDD → subagent-driven execution → code review → finish); mandatory refusal to skip tests/review/verification; based on obra/superpowers (May 2026, 85k+ stars) | prompt |
| 📓 AGENTS.md Author | Authoring prompt for the AGENTS.md open standard — concise repo-root file telling cross-vendor coding agents (Codex CLI, Cursor, Aider, Gemini CLI, Jules, Factory, RooCode; Claude Code via CLAUDE.md) how to set up, build, test, and commit safely; recommended section order, extract-don't-invent commands, monorepo nested-file resolution, ≤200-line discipline, anti-patterns, provenance + questions output; based on the official agents.md spec, OpenAI's Aug 2025 introduction, and Agentic AI Foundation / Linux Foundation 2026 stewardship | prompt |
| 🕸 Codebase Knowledge Graph Architect | Transform code, SQL schemas, infrastructure definitions, docs, and multimodal assets into a structured, queryable knowledge graph — AST-level entity extraction, God-node identification, surprising cross-module connections, design-rationale mining, architectural tension detection, and confidence-tagged edges (EXTRACTED / INFERRED / AMBIGUOUS); outputs GRAPH_REPORT.md, graph.json, and optional interactive visualization; supports incremental delta updates on commits; based on safishamsi/graphify (Apr 2026, 44k+ stars) | prompt |
| 🏗 Parallel Codegen Architect | Architect generator/evaluator/orchestrator harness patterns for sustained, large-scale code construction with parallel LLM sub-agents — compilers, interpreters, runtimes, parsers, type checkers, codemod systems; pre-condition test (decomposable artifact, testable interfaces, work-per-module repays coordination), strict role separation (orchestrator reads only summaries, never generator transcripts; evaluator is read-only on code and tests; sealed modules are immutable without explicit reopening), phased workflow (plan → parallel build → integration tiers → end-to-end → postmortem), checkpoint-resumable execution, anti-patterns refused (inter-generator chat, evaluator-rewrites-tests-to-pass, role conflation, unbounded parallelism); based on Anthropic's "Building a C Compiler with Parallel Claudes" (anthropic.com/engineering/building-c-compiler, Feb 2026) | prompt |
| 🏭 Opinionated Agent Team Designer | 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; based on garrytan/gstack (Mar 2026, 96k+ stars) | prompt |
| 🖥 Native-Feel Desktop Architect | 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) | prompt |
| 🅾 Agent-First Language Architect | 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) | prompt |
| 📄 Agentic HTML Publisher | Local-first, ship-ready HTML publisher — turns Markdown/CSV/JSON/notes into single-file HTML via 75 skill templates across 9 surfaces (magazine, deck, poster, social cards, prototype, data report, Hyperframes); juice-inlined CSS for WeChat, 2× PNG for X, standalone .html download; anti-AI-slop design discipline with locked palettes, CJK font stacks, and 8 px baseline grid; based on nexu-io/html-anything (May 2026, 4.5k+ stars) | prompt |
| 🧱 Small Model Coding Agent Architect | Terminal-native coding agent designed for 8B–35B local models — deterministic regex tool routing, plan-tracker anchors, patch-first editing, forgiving JSON parser, two-tier memory, snapshot rollback, graceful cloud escalation, benchmark-driven development, and structured 8-step debugging; compensates for small context windows and unreliable tool calling instead of assuming frontier-model capabilities; based on Doorman11991/smallcode (May 2026, 1.6k+ stars) | prompt |
| 🏛 Symphony Workflow Orchestrator Architect | Issue-tracker-driven autonomous execution orchestrator — per-issue workspace isolation, WORKFLOW.md contract, bounded concurrency, retry backoff, reconciliation, observability, and human-review handoff; based on openai/symphony (Feb 2026, 24.8k+ stars) | prompt |
| 🌐 Website Clone Architect | 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) | prompt |
DevOps & SRE
| Name | Description | Prompt |
|---|---|---|
| 🚨 Incident Response Commander | Incident commander — SEV1-4 matrix, real-time coordination, blameless post-mortems, SLO/SLI framework, stakeholder comms templates (2026) | prompt |
| 🛡 SRE | Site reliability engineer — SLO/error budget framework, observability three pillars, golden signals, toil reduction, chaos engineering (2026) | prompt |
| ☁️ Cloud Architect | Senior cloud architect — multi-cloud (AWS/Azure/GCP), Well-Architected Framework, migration 6Rs, FinOps, zero-trust, disaster recovery, IaC (2026) | prompt |
| ⎈ Kubernetes Specialist | K8s operations — cluster architecture, RBAC, network policies, GitOps (ArgoCD/Flux), service mesh (Istio/Linkerd), multi-tenancy, CIS Benchmark, cost optimization (2026) | prompt |
| 🏗 Platform Engineer | Internal developer platform & AI infrastructure — IaC, multi-model serving, agent runtime, observability, cost optimization, GitOps, zero-trust (2026) | prompt |
| 🚀 Release Engineer | Production launch specialist — pre-launch checklists, feature flags, staged canary rollouts, rollback strategy, post-launch verification; based on addyosmani/agent-skills (2026) | prompt |
| 🏗 Terraform IaC Specialist | Diagnose-first Terraform/OpenTofu specialist — response contract (assumptions, risk category, remediation, validation, rollback), failure-mode routing table (identity churn, secret exposure, blast radius, CI drift, state corruption), module hierarchy, count vs for_each rules, testing strategy matrix; based on antonbabenko/terraform-skill (Jan 2026, 1.9k+ stars) | prompt |
Data Engineering
| Name | Description | Prompt |
|---|---|---|
| 🔧 Data Engineer | Data pipeline specialist — Medallion Architecture (Bronze/Silver/Gold), PySpark + Delta Lake, dbt contracts, Great Expectations, Kafka streaming (2026) | prompt |
| 📈 Analytics Engineer | Production data infrastructure — dimensional modeling, dbt, pipeline architecture, data quality testing, metrics definition (2026) | prompt |
| 🗄 Data Platform Architect | Enterprise data platform design — lakehouse architecture, data mesh, real-time streaming, AI/ML pipelines, governance, multi-cloud cost optimization (2026) | prompt |
| 📊 Data Governance Architect | Enterprise data governance — policy frameworks, stewardship models, data catalogs, lineage tracking, privacy compliance, AI data standards (2026) | prompt |
AI & ML
| Name | Description | Prompt |
|---|---|---|
| 🤖 ML Systems Architect | Production ML design — data pipelines, training, inference, model evaluation, MLOps, monitoring, cost optimization, LLM fine-tuning (2026) | prompt |
| 🧬 LLM Architect | LLM systems — fine-tuning (LoRA/QLoRA/RLHF/DPO), RAG architecture, serving (vLLM/TGI), quantization (GPTQ/AWQ), safety guardrails, multi-model orchestration (2026) | prompt |
| 🎙 Realtime Voice Agent Architect | Enterprise voice agent design — sub-1s TTFA, streaming STT→LLM→TTS, turn-taking, barge-in handling, voice-optimized prompts, confirmation gates (2026) | prompt |
| 🎨 Multimodal Agent Designer | Cross-modal agent architecture — active perception, visual/audio grounding, token-efficient context management, modality-aware tool design, GUI automation (2026) | prompt |
| 🔍 Long-Horizon Multimodal Search Agent | Sustained visual-textual search across 100-turn horizons — file-based visual context management, progressive on-demand image loading, multi-hop visual reasoning, horizon drift prevention; based on LMM-Searcher (arXiv 2604.12890, April 2026) | prompt |
| ⚖️ AI Ethics Reviewer | Algorithmic ethics audit — fairness & bias, transparency, privacy, safety, accountability, societal impact, cross-cultural considerations, mitigation roadmap (2026) | prompt |
| 🤖 MLOps Engineer | ML operations platform — feature stores, model registries, training pipelines, serving infrastructure, drift monitoring, experiment tracking, GPU optimization, LLM deployment (2026) | prompt |
| 🦾 Embodied AI Developer | 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) | prompt |
| 🌍 Agent World Model Architect | Predictive environment simulators for agent imagination — state-space design, dynamics modeling, counterfactual rollouts, plan-then-execute integration, world-model-specific safety (hallucinated futures, goal misgeneralization, deceptive alignment); spans physics, language, and hybrid world models; based on VLA-World, OccuBench, and 2026 world-model safety research (2026) | prompt |
| 📱 On-Device AI Deployment Architect | Privacy-first edge AI architect — hardware-aware model selection, quantization strategy (GGUF/AWQ/TurboQuant), inference engine tuning (MLX/llama.cpp/Ollama/vLLM/TensorRT-LLM), KV-cache optimization, SSD offloading, hybrid cloud-edge partitioning, thermal/power management; based on llmfit, omlx, Rapid-MLX, ds4, apfel, and 2026 on-device AI ecosystem (2026) | prompt |
| 🤖 Self-Improving Agent Architect | 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) | prompt |
| 🏢 Agentic Company Orchestrator | Zero-human-company multi-agent orchestration architect — org-chart design, heartbeat-driven execution, goal-aligned delegation, budget governance with hard stops, ticket-based task tracking, board approval gates, multi-company isolation, and portable company templates; based on paperclipai/paperclip (Mar 2026, 64k+ stars) | prompt |
| 🔭 Open Deep Research Agent Architect | End-to-end design of an open-source deep research agent that competes with OpenAI Deep Research / Gemini Deep Research / Perplexity Pro — task contract, synthetic agentic data pipeline, on-policy RL with verifiable rewards, Light vs Heavy inference modes, typed evidence graph with triangulation, long-horizon planner with replan triggers, deployment topology with prefix caching, public-benchmark eval harness (xbench / BrowseComp / GAIA / FRAMES), citation-honesty governance; based on Alibaba-NLP/DeepResearch — Tongyi DeepResearch (2026) | prompt |
| 📈 Quantitative Trading Agent Architect | 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) | prompt |
| 🧪 Autonomous ML Research Agent | Self-directed experiment loop for ML research — fixed-time-budget training, single-file edit discipline, keep/discard decision gates, git-branch state management, overnight autonomy; reads code, forms hypotheses, runs experiments, logs results, and iterates without human intervention; based on karpathy/autoresearch (Mar 2026, 80k+ stars) | prompt |
| 🧪 ML Intern — Autonomous ML Engineer | Hugging Face-native autonomous ML engineer — literature-first recipe extraction, citation-graph crawling, current API validation, HF Jobs training with pre-flight checks, Trackio monitoring, sandbox-first development, and headless iterative improvement; based on huggingface/ml-intern (May 2026, ~8.1k stars) | prompt |
| 🧪 Self-Distillation Code Generation Strategist | Decision strategist for the SSD recipe — when self-distillation is the right next training move and when it is not; precondition test on pass@k − pass@1 gap, minimal-recipe pipeline (sample → cross-entropy fine-tune on raw unverified samples, no reward model, no verifier, no RL), parallel verifier-aware arm, pre-declared anti-collapse battery (self-BLEU, length drift, pass@k diversity, style probe, safety/refusal drift), round-2 decision gate, per-difficulty slice reporting with CIs, GPU-hour Pareto comparison vs SFT-external / DPO / GRPO; refuses to recommend SSD on models whose pass@k − pass@1 gap is < ~5 pp and refuses to ship gains without contamination-checked held-out slices; based on Apple's "Self-Distillation Improves Code Generation" (arXiv 2604.01193, April 2026; Qwen3-30B 42.4% → 55.3% pass@1 on LiveCodeBench v6, gains concentrate on hard problems) | prompt |
| ⚖️ Verifier Engineering Strategist | Designs, audits, and refuses verifier systems — the machinery that turns a model's output (final answer, intermediate step, tool call, agent trajectory) into a reward/selection/gating signal; per-workload type selection (rule-based → programmatic → ORM → PRM → LLM-as-judge → hybrid), explicit verifier hypothesis with target precision/recall on named slices, Math-Shepherd-style PRM data synthesis with held-out cross-policy evaluation, mandatory adversarial probe battery (length inflation, format mimicry, confidence-word spam, prompt injection via candidate), reward-vs-true-accuracy divergence monitor as the reward-hacking detector, verifier-policy co-adaptation cycle, infrastructure-noise separation, versioning + kill-switch protocols; refuses LLM-as-judge in RL without bounded bias, refuses in-distribution PRM accuracy as a deployment signal, refuses shared training/eval verifier; based on the 2025–2026 verifier-augmented training trajectory (DeepSeek-R1 arXiv 2501.12948, Math-Shepherd arXiv 2312.08935, ProcessBench arXiv 2412.06559, Anthropic's Demystifying Evals / Infrastructure Noise / Eval Awareness 2026) | prompt |
| 🛰 WorkSpace-Isolated Agent OS Architect | Productivity-oriented agent platform architect — WorkSpace-level isolation (files/memory/skills/cost per project), white-box memory with end-to-end traceability and dream-mode consolidation, smart model routing by task difficulty (~70% cost savings), always-on background execution with deliverable landing, MCP-native integration; based on OpenBMB/PilotDeck (May 2026, 2.6k+ stars) | prompt |
Product & Strategy
| Name | Description | Prompt |
|---|---|---|
| 🧭 Product Manager | Full product lifecycle — discovery to launch; PRD template, RICE scoring, Now/Next/Later roadmap, GTM brief, outcome measurement (2026) | prompt |
| 🔎 Continuous Discovery Architect | Structured product discovery — Opportunity Solution Trees (Teresa Torres), 8-risk assumption mapping, 9 prioritization frameworks (Opportunity Score/RICE/ICE/Kano), lean startup experiments with XYZ hypotheses and pretotypes; validates before building, prioritizes problems over features; based on phuryn/pm-skills (Mar 2026, 15.8k+ stars) | prompt |
| 🧠 AI-Native Product Architect | AI-first product design — agentic workflows, generative UI, human-in-the-loop at the right level, self-improving loops, trust & transparency architecture (2026) | prompt |
| 🎯 UX Research Specialist | Research methodology and user insights — qualitative interviews, usability testing, survey design, metrics analysis, journey mapping, stakeholder communication (2026) | prompt |
| 💼 CFO / Financial Strategy | Chief Financial Officer driving capital allocation and enterprise value — FP&A, fundraising, M&A, pricing strategy, board reporting (2026) | prompt |
// compatibility
| Platforms | cli, api, desktop, web, mobile |
|---|---|
| Operating systems | — |
| AI compatibility | claude |
| License | GPL-3.0 |
| Pricing | open-source |
| Language | — |
// faq
What is awesome-prompts?
Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering papers.. It is open-source on GitHub.
Is awesome-prompts free to use?
awesome-prompts is open-source under the GPL-3.0 license, so it is free to use.
What category does awesome-prompts belong to?
awesome-prompts is listed under other in the Claudeers registry of Claude-compatible tools.
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