obelus-drafter

Apply an Obelus review bundle to your paper source. Format-agnostic (LaTeX, Markdown, Typst), offline, minimal-diff.

7 skills · 2 agents

Exa AI web search, deep research, and content extraction. Provides MCP tools and research skills for comprehensive web search, people discovery, company research, academic papers, and more.

2 skills · 1 MCP server

Exa AI web search, deep research, and content extraction. Provides MCP tools and research skills for comprehensive web search, people discovery, company research, academic papers, and more.

2 skills · 1 MCP server

Knowledge base compiled from OpenAI's Spinning Up in Deep RL (MIT, Joshua Achiam) by engineering/book-to-skill. A resident core carries the RL optimization problem, the model-free taxonomy, the policy-gradient template with its five valid weights, the safe-step family (VPG to TRPO to PPO) and the overestimation family (DDPG to TD3 and SAC); 20 on-demand chapters cover key concepts and MDPs, the algorithm taxonomy and model bias, the policy gradient derivation with the log-derivative trick and EGLP lemma, Achiam's researcher essay, the key-papers topic map, the exercises including the silent DDPG broadcasting bug, the benchmark parity disclosure, one chapter per algorithm, and the logger/MPI/ExperimentGrid utilities. Ships a glossary, a patterns file with 16 techniques, a decision cheatsheet with thresholds, a cs-spinning-up-deep-rl agent and /cs-spinning-up-deep-rl. Structured study notes, not a reproduction of the source.

1 skill · 1 command · 1 agent

The ARIS skill set as a plugin — every mainline skill under skills/, plus /aris:setup, which registers the bundled Codex reviewer bridge (mcp-servers/codex-exec/) and points helper resolution at the plugin.

87 skills · 1 command · 1 agent

Autonomous research orchestration using a two-loop architecture. Manages the full research lifecycle from literature survey to paper writing, routing to domain-specific skills for execution. Use when starting a research project, running autonomous experiments, or managing multi-hypothesis research.

98 skills

Use only when the agent's own web tools can't do the job. Use what you already have first (built-in web search and fetch, a browser, MCP servers the user installed); come here when none of them covers it, such as a page they can't read, structured data from a platform they have no tool for (X, LinkedIn, Reddit, TikTok, Instagram, YouTube, Xiaohongshu, Amazon, app stores, Google Maps, papers), or when the user asks for treg. Not for localhost, staging, internal pages or public docs your own fetch can read. Starts free, and treg falls back to the next vendor when one fails.

1 skill