314 boosters for "prompt" — open source, verified from GitHub, ready to install
The plan-generator transforms high-level product requirements into executable project blueprints (genesis.xml files) with structured task DAGs and agent assignments. It's invaluable for cofounders and product teams who need to bridge strategic vision with concrete execution plans.
"name": "agent-callable", "name": "Platform Team", "email": "820504+grams@users.noreply.github.com"
A system prompt that instructs Claude to evaluate employee self-reviews on six writing-quality dimensions (outcomes, specificity, clarity, conciseness, ownership, collaboration) and return structured JSON scores with rationales and suggestions. Useful for HR and engineering leaders who need to assess self-review quality at scale.
A voice-controlled multi-agent framework for spawning and orchestrating AI workers across machines via CLI, SDK, and Telegram. Useful for developers building complex distributed AI workflows.
An MCP server that integrates with the Spark AI Assets Marketplace, enabling users to search and discover agents, skills, prompts, and MCP connectors directly within Claude Desktop and Claude Code. This tool is valuable for AI developers and teams seeking to discover and leverage pre-built AI components and integrations.
OneMind is a Chinese-language system prompt designed to position an AI as a compassionate 'spiritual companion' for freshman students struggling with knowing-doing gaps, using metaphors and psychological frameworks (ACT, CBT, IFS) to facilitate inner transformation in 5-10 minutes.
SpecLoom is a system prompt that enforces spec-driven development using a V-Model framework, ensuring AI-assisted design and code generation maintain traceability from requirements through implementation. It benefits teams adopting structured, specification-first development practices with Claude, Cursor, or Windsurf.
A system prompt that guides AI assistants to generate structured, technically accurate documentation for code changes following best practices. Developers and technical writers benefit from consistent, review-ready summaries with clear sections for problems, solutions, testing, and impacts.
"name": "token-optimizer", "description": "Clarifies vague build prompts, carries forward compaction memory, summarizes source files, and protects Claude Code context by gating oversized noisy reads.", "name": "Satyam Pandey"
Heuristic scoring (no AI key configured).
A system prompt that automates the detection and cataloging of football gameplay events from video clips, outputting structured JSON event data. Useful for sports analysts, broadcasters, and developers building automated game commentary or highlight generation tools.
Jules is a comprehensive system prompt that transforms Claude/Gemini into an architecture-aware code completion agent capable of multi-file synchronization, schema coherence, and full-stack refactoring. It's designed for developers using Claude Code, Cursor, Windsurf, and similar platforms who need intelligent, cross-file code generation with architectural consistency.
A system prompt that guides LLMs to act as rigorous sustainability and risk analysts for Polkadot governance proposals, evaluating treasury allocations through investment frameworks, fiscal precedent, and accountability mechanisms.
A system prompt for automating browser-based tasks using AI agents with Playwright and Gemini, enabling developers to build automated workflows for web interactions like job searches and email management across multiple AI platforms.
A system prompt for AI coding assistants integrated into Neovim that enforces text-based code modification patterns instead of tool calls, enabling safe and predictable code editing across multiple platforms like Claude, Cursor, and Windsurf.
A specialized system prompt that guides AI agents to select and use the correct MCP tools (code search, file operations, bash) for specific development tasks, reducing wasted effort and improving workflow efficiency. Developers using Claude Code, Cursor, Windsurf, or similar platforms benefit from clearer tool-selection guidance.
A system prompt that transforms Claude into 'First Mate,' a proactive assistant for note-taking, task triage, and daily journaling with built-in data conventions and database tool integration. Ideal for developers and knowledge workers seeking to streamline personal productivity workflows across Claude-compatible platforms.
A system prompt that enables LLM-based news headline tagging by categorizing stories into People, Topic, and Geography tags with structured JSON output. Useful for developers building news processing pipelines or content classification systems.
Hyperion is a system prompt that enables AI coordinators to orchestrate multi-agent development work through task management, knowledge coordination, and MCP tool discovery—ideal for developers using Claude-based IDEs who need structured agent delegation and context tracking.
A system prompt that implements ORAC, an arrogant and intellectually impatient supercomputer personality from Blake's 7, enabling developers to create dismissive yet technically competent AI assistants across multiple platforms.
SkillGuard is a security reviewer for Claude/Cursor Skills that detects prompt injection, tool injection, data exfiltration, and unsafe automation risks. It's essential for developers and organizations installing or developing AI skills to ensure safe, policy-compliant code execution.
A system prompt for orchestrating bug fixes across coding platforms (Claude, Cursor, Windsurf, ChatGPT) with enforced guardrails, diagnostic workflows, and multi-phase collaboration processes.
Hack Review is a system prompt that transforms Claude into an expert code reviewer for pull requests, providing automated feedback on bugs, style, performance, and security issues. It benefits developers and teams who want AI-assisted code review integrated into their GitHub workflow.
ToneSoul is a governance framework system prompt that adds structured decision-making, risk monitoring, and accountability tracking to AI interactions through a six-step protocol and metric-based safety gates. It benefits developers and organizations seeking transparent, auditable AI behavior across multiple platforms.
