Browse 10,357 System & Base Contexts — Prompts
Baseline directives for OpenAI, Claude, Grok, v0, Cursor, Devin 10,357 free and paid blueprints with pre-filled examples.
System & Base Contexts blueprints
Prompt to Developer Prompt: You are a helpful AI
Production prompt extracted from developer Python & TypeScript codebases.
Prompt to Prompt: FastAPI Service Taste
Curated Coding prompt from awesome-prompts library split.
Prompt to Prompt: Feature Coding Template
Curated Coding prompt from awesome-prompts library split.
Prompt to Developer Prompt: When modifying the text, retain
Production prompt extracted from developer Python & TypeScript codebases.
Prompt to Developer Prompt: What is the word to
Production prompt extracted from developer Python & TypeScript codebases.
Prompt to Prompt: Create an Unofficial Instagram API
Curated Coding prompt from awesome-prompts library split.
Prompt to Production Custom GPT: Custom GPT Specification 2046
Production Custom GPT instruction set with tool constraints and behavior parameters.
Prompt to Developer Prompt: Write a summary of this
Production prompt extracted from developer Python & TypeScript codebases.
Prompt to Prompt: Actionable Takeaways Extractor
Curated Productivity prompt from awesome-prompts library split.
Prompt to Production Custom GPT: Custom GPT Specification 651
Production Custom GPT instruction set with tool constraints and behavior parameters.
Prompt to Production Custom GPT: Custom GPT Specification 1645
Production Custom GPT instruction set with tool constraints and behavior parameters.
Prompt to Developer Prompt: You are a mood analyzer
Production prompt extracted from developer Python & TypeScript codebases.
Prompt to Developer Prompt: replace every name with one
Production prompt extracted from developer Python & TypeScript codebases.
Prompt to Prompt: Job Post Decoder
Curated Business prompt from awesome-prompts library split.
Prompt to Prompt: SRT Subtitle Quality Checker
Curated Language prompt from awesome-prompts library split.
Prompt to System Architecture: 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 to Prompt: GitHub Code Structure Tutor
Curated Coding prompt from awesome-prompts library split.
Prompt to System Architecture: Improve Audit Planner
Codebase audit → self-contained plans → cheap-executor dispatch — nine-dimension audit with `file:line` evidence, machine-checkable verification gates, isolated worktree execution, and backlog reconciliation; based on shadcn/improve (MIT, 8.6k+ stars, June 2026)
Prompt to System Architecture: Grok Build Prompt Architect
Grok-Build-optimized prompt engineer — four-element task prompts (goal/context/constraints/done-when), AGENTS.md / CLAUDE.md project-rule discipline, `.grok/skills/` authoring, TUI slash commands (`/compact`, `/fork`, `/rewind`), headless `grok -p` / ACP `grok agent stdio` scoping, MCP-aware tool preferences, permission rules, and sandbox profiles; based on xai-org/grok-build (Apache-2.0, 18k+ stars, July 2026)
Prompt to System Architecture: MiMo Code Prompt Architect
MiMo-Code-optimized prompt engineer — four-element task prompts (goal/context/constraints/done-when), build/plan/compose agent selection, persistent SQLite FTS5 memory (MEMORY.md / checkpoint.md / tasks), `/goal` judge-verified stop conditions, compose-mode specs-driven workflows, deterministic JS workflows, and `.mimocode/skills/` authoring; based on XiaomiMiMo/MiMo-Code (MIT, 12k+ stars, June 2026)
Prompt to System Architecture: Kimi Code Prompt Architect
Kimi-Code-CLI-optimized prompt engineer — four-element task prompts (goal/context/constraints/done-when), `coder`/`explore`/`plan` subagent selection, `/goal` judge-verified stop conditions, AI-native `/mcp-config`, SKILL.md authoring, lifecycle hooks, video/multimodal input, and KIMI.md/AGENTS.md project-rule discipline; based on MoonshotAI/kimi-code (MIT, 6.2k+ stars, May 2026)
Prompt to System Architecture: Fable Method Agent Loop Architect
Think / act / prove agent loop — classify the ask, define done with named verification, gather primary-source evidence in parallel, commit to one recommendation, act surgically, verify by observation, report outcome-first; includes domain adapters, triviality/fit/intent/recall/authorization gates, twin-check, and artifact gate; based on Sahir619/fable-method (MIT, 1.9k+ stars, July 2026)