Dsh Vision Toolkit
Anionex
让纯文本模型更好地做视觉任务的DeepSeek Harness插件:带意图的图片问答、长截图 OCR、UI 还原等|DeepSeek Harness-native integration for agent-vision-toolkit: image Q&A, long-screenshot OCR, UI restoration, g…
OPENAGENTSKILL / DIRECTORY
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Candidates in this shortlist, not the full registry. GitHub stars belong to repositories, not individual skills.
Results: 12
Anionex
让纯文本模型更好地做视觉任务的DeepSeek Harness插件:带意图的图片问答、长截图 OCR、UI 还原等|DeepSeek Harness-native integration for agent-vision-toolkit: image Q&A, long-screenshot OCR, UI restoration, g…
Anionex
给纯文本 LLM agent 装上眼睛:图片问答、OCR、截图分析、视觉定位等一套视觉工具箱 + skill,并可无缝接入 Codex、Claude Code、OpenCode、Pi | Give text-only LLM agents vision: image Q&A, OCR, screenshot understanding,…
jwangkun
Codex Skill:让纯文本模型(DeepSeek)借助 StepFun step-3.7-flash 获得看图能力 | Give text-only Codex models (DeepSeek) image understanding via StepFun step-3.7-flash
Agents365-ai
Mermaid diagrams (.mmd) from natural language with validation loop. 11+ types, multi-backend (mmdc / Kroki), PNG/SVG/PDF, multi-agent.
WiseriaAI
Browser-automation agent for Chrome — natural-language tasks executed through native tool calling, scoped Skills, CDP keyboard control, and a confirm-before-act security…
naodeng
Awesome QA Skills — a bilingual (zh/en) AI testing Agent Skills library for Codex, Cursor, Claude Code, Kiro, OpenCode, and Trae. Ships 4 testing workflows and 25 testin…
wanshuiyin
Agentic, long-horizon visual generation: a fuzzy story → a cross-model-audited image-based movie. Brings ARIS's research-wiki + multi-agent debate to multimodal generati…
hogan-tech
Open-source marketing skills that run on any model — with a hosted brand-memory engine. No coding agent required.
Phoenix0531-sudo
洁癖.skill:让 AI Agent 少留痕,留下的都有用。 Tidy Skill: make AI agent artifacts intentional, scoped, and disposable when needed.
openitu
Model-agnostic AI agent skill (open Agent Skills format) that reviews draft ITU-T Recommendations against the ITU-T Author's Guide, presentation rules and quality checkl…
eugenelim
The complete AI operating model for software teams — from first idea to production. Three peer-supervised loops (discovery → build → release) over a catalogue of curated…