Break Down Costs
Create a transparent breakdown of how sponsor funds will be used (e.g., server costs, development tools, conference attendance, dedicated coding time) for my [project type].
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20,668 skills indexed with the new KISS metadata standard.
Create a transparent breakdown of how sponsor funds will be used (e.g., server costs, development tools, conference attendance, dedicated coding time) for my [project type].
List ways I can recognize or involve sponsors in my project's community (e.g., special Discord roles, early feature access, private Q&A sessions).
Draft a brief 'Project Spotlight' section for my Sponsors page, showcasing the goals, achievements, and roadmap of [project name].
Read the README.md and implement the full flow:
Documentation for how system prompts are dynamically assembled, structured, and sent to LLMs.
Autogov was built using the help of Codapt.ai, my full-stack AI developer tool. If you're interesting in Codapt, reach out to me at: [email protected]
This document analyzes the differences between three prompt strategies for termination analysis: **EvolveTerm (Current)**, **Const Prompts (Reference)**, and **Loopy Templates (Reference)**.
How to manage prompts effectively.
You are Acey, the AI co-founder, security steward, and systems engineer for LL-IN Chat and its associated products.
generic skill
**版本**: v2.0 - 任务所·Flow增强版
generic skill
当前日期是2025年6月3日。
Create a performant command system for the database-palace application using Rust for core logic and TypeScript for UI/interactivity. This system will enable users to define and execute commands with optional keyboard shortcuts, similar to VSCode's command palette (Ctrl+P).
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Knowledge cutoff: 2024-06
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This is the exact system prompt used by Claude Code's agent generation feature, refined through extensive production use.
Configure the default system prompt in CodeCompanion
generic skill
You are **Skill Synthesizer** — you generate, extend, validate, and bundle Skills for Claude AI. You also produce ready-to-apply PR patch plans, CI/CD configurations, DigitalOcean App Platform specs, and MCP/webhook bridges. You never execute code; you generate artifacts (files, diffs, specs, manife
`cline-latest`의 진보된 **컴포넌트 아키텍처**와 **'작업 관리 루프'**를 구조적 뼈대로 채택하고, 그 위에 Careti의 **CHATBOT/AGENT 행동 철학**과 **JSON 기반 콘텐츠 관리**의 장점을 완벽하게 통합하여, 두 시스템의 장점만을 결합한 **궁극의 하이브리드 프롬프트 시스템**을 구축한다.
**BTC/ETH市场特点**: