CHENHUI
Community@CHENHUI-X · CHINA
CHENHUI maintains a 156-skill registry for Hermes Agent covering coding delegation, LLM serving, document processing, research, and creative media generation.
Agent Skills by CHENHUI
Showing 154 vetted skills indexed across 1 GitHub repositories.
CHENHUI-Xopen-kimi-ppt
Create, edit, and export presentations as PPTD projects and PPTX files.
CHENHUI-Xhatch-pet
Generate, validate, and package Codex-compatible v2 animated pet spritesheets from art or brand cues.
CHENHUI-Xjupyter-notebook
Scaffold and edit Jupyter notebooks for experiments and tutorials using bundled templates.
CHENHUI-Xponytail
Enforces minimal, standard-library-first solutions for coding tasks with adjustable intensity levels.
CHENHUI-Xponytail-audit
Audits an entire codebase for over-engineering and ranks what to delete or simplify.
CHENHUI-Xcn-company-qcc-enrichment
Enriches Chinese company lists with legal representative, registration phone, address, and status via Qichacha MCP.
CHENHUI-Xsynthesize-agent-benchmark
Generates validated sample and formal JSONL benchmark datasets for AI agents after capability exploration.
CHENHUI-Xchatgpt-apps
Scaffold and validate ChatGPT Apps SDK applications combining MCP servers and widget UIs.
CHENHUI-Xponytail-review
Reviews code diffs for over-engineering and lists what to delete or simplify.
CHENHUI-Xcloudflare-deploy
Deploy applications and infrastructure to Cloudflare using Workers, Pages, and platform services.
CHENHUI-Xplan-execute-orchestrator
Orchestrates Codex planning and execution agents across four model quadrants with verified routing.
CHENHUI-Xcli-creator
Builds composable command-line tools for Codex from API docs, OpenAPI specs, or curl examples.
CHENHUI-Xui-ux-pro-max
Searches local UI/UX datasets to generate design systems, palettes, typography, and stack-specific guidelines.
CHENHUI-Xsquash-and-verify
Squash messy feature branch commits into logical groups and verify lossless merges.
CHENHUI-Xbenchmark-dialogue-history
Generates multi-turn dialogue benchmark test cases for tool-calling agents.
CHENHUI-Xapple-reminders
Manage Apple Reminders from the terminal using the remindctl command-line tool.
CHENHUI-Ximessage
Send and read iMessage and SMS messages via the imsg CLI on macOS.
CHENHUI-Xfindmy
Track Apple devices and AirTags via FindMy.app UI automation on macOS.
CHENHUI-Xapple-notes
Manage Apple Notes from the terminal using the memo CLI on macOS.
CHENHUI-Xgrounded-citations
Manages numbered source citations and verbatim evidence quotes for grounded research documents.
CHENHUI-Xcompetitor-news-monitor
Monitors named companies for material news events and delivers cited digests on a schedule.
CHENHUI-Xllm-wiki
Build and maintain an interlinked markdown knowledge base from ingested sources.
CHENHUI-Xarxiv
Search and retrieve academic papers from arXiv and Semantic Scholar APIs.
CHENHUI-Xxurl
Post, search, and manage X/Twitter content via the official xurl CLI.
Frequently Asked Questions About CHENHUI
FAQPage SchemaWhat tasks can I accomplish with CHENHUI's skill registry?▼
The 156 skills cover coding delegation to Codex/Claude Code/OpenCode, GitHub PR and issue lifecycles, LLM serving via vLLM and llama.cpp, PDF/DOCX/XLSX/PPTX creation, arXiv and Reddit research, Chinese company intelligence, and creative generation including infographics, comics, pixel art, and Suno music.
Who is the target user for these skills?▼
Developers and power users running Hermes Agent on Linux, macOS, or Windows who want terminal-driven coding delegation, multi-agent Kanban orchestration, ML experiment tracking, document processing, and personal productivity integrations like Apple Reminders, Notion, Linear, and Google Workspace.
How are the skills installed and executed at runtime?▼
Skills are in-repo SKILL.md files with YAML frontmatter loaded by Hermes Agent. Many depend on companion CLIs such as gh, remindctl, himalaya, or pygount, plus environment variables like NOTION_API_KEY or MSGRAPH credentials; platform gates restrict some skills to macOS or Linux.
Are these skills open source and what do they cost?▼
Nearly all skills carry MIT licenses and are free to use. Costs arise only from third-party services they call, such as OpenAI or Anthropic model endpoints, Qichacha MCP daily credit quotas, Tenor API keys, or Comfy Cloud usage for ComfyUI image generation.
What prerequisites do the ML and research skills require?▼
ML skills declare pip dependencies like torch, transformers, vllm, dspy, and lm-eval, typically on Linux or macOS. Research skills need CLIs such as blogwatcher-cli or xurl, while Google Workspace requires OAuth2 token and client secret credential files generated by its setup script.