asgeirtj/system_prompts_leaks
This repository provides a collection of extracted system prompts from various large language models (LLMs) including Anthropic's Claude, OpenAI's ChatGPT, Google's Gemini, and xAI's Grok, updated ...
Awesome AI Agents › Prompt Libraries
PaperOrchestra packages the five-agent research paper writing pipeline described in the arXiv paper of the same name as a set of skills that a host coding agent reads and follows. It contains no LLM SDK code and requires no API keys: each skill is a dense SKILL.md instruction document plus reference material and deterministic local helper scripts, and all model reasoning, web search and literature lookups are delegated by instruction to the host agent, which can be Claude Code, Cursor, Antigravity, Cline, Aider or OpenCode. The pack ships seven skills. An orchestrator skill drives the run; an outline agent turns an idea, an experimental log and a template into a structured outline in JSON covering the plotting plan, the literature review plan and the section plan; a plotting agent renders figures and conceptual diagrams with an optional vision-model critique loop; a literature review agent searches for candidate references, verifies them against Semantic Scholar using fuzzy title matching and deduplication, and drafts the introduction and related work with a citation integration target; a section writing agent drafts the remaining sections in one multimodal call and builds tables from the experimental log; and a content refinement agent runs simulated peer review under strict halt rules. Two further skills reproduce the paper benchmark and its autoraters, including citation F1 and side-by-side quality scoring. The helper scripts are purely local and offline: JSON schema validation, Levenshtein matching, BibTeX formatting, deduplication, LaTeX sanity checks and coverage gates. An optional aggregator skill reconstructs the required idea and experimental log inputs from scattered coding agent history. It targets researchers who already work inside a coding agent and want a reproducible pipeline from raw material to a submission-ready LaTeX paper.
https://github.com/Ar9av/PaperOrchestra
This repository provides a collection of extracted system prompts from various large language models (LLMs) including Anthropic's Claude, OpenAI's ChatGPT, Google's Gemini, and xAI's Grok, updated ...
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