Genpark Ambient Vision Anchor Skill

ZeroTu1/jss-skill

JS 侦察流水线编排（自带工具链 + Yakit/浏览器 MCP + 开源 HaESkill 联动）：按输入类型自适应——URL 走 katana 主动爬取（硬限速防风控）+ waymore 被动存档（目标站 0 请求），Yakit 有抓包流量则导入登录态 JS 与 API 端点，小程序反编译目录/本地 dist 直接分析（无爬取路径，analyze 即全流程）。双提取引擎（jsluice AST + 正则）+ hae 规则增强产出 ai_brief.md，AI 再做语义分析与优先级排序。任何环节阻塞自动跳过并汇总告知。仅用于授权渗透测试/SRC。触发词：分析js、js分析、js侦察、js信息收集、JS审计、js审计、前端信息收集、前端安全分析、提取接口、接口提取、端点提取、API提取、敏感信息提取、密钥提取、小程序分析、分析小程序、小程序逆向、反编译js分析、sourcemap、源码还原、HAR分析、抓包分析、Yakit流量分析、SRC信息收集、HaESkill、hae、jss。

YijiaDuan/build-managed-agents

教 Claude Code / OpenClaw 等 coding agent 使用 Anthropic Claude Managed Agents（云端托管代理服务）API —— create/run/audit 全流程。当用户（或上游 coding agent）需要创建托管 agent、跑 session、流式处理事件、审计用量或调用 /v1/agents、/v1/environments、/v1/sessions 等 API 时使用。触发词：managed agents、托管代理、build a managed agent、agent_toolset_20260401、client.beta.agents、client.beta.sessions。

sxivansx/loop-engineering

Use when the user wants to "set up a loop", build a self-running or run-until-done agent, automate a recurring engineering task (triage, keep-CI-green, dependency bumps, backlog burndown), or stop hand-prompting an agent turn by turn. Sets up an autonomous engineering loop in the current project. It discovers work, runs a maker agent and a separate checker agent, records state on disk, and re-triggers until a verifiable stop condition is met.

CoriChui/bakeoff

Turn one decision into a judged tournament of solutions, then pick the best. Given a problem, design choice, or a suggestion you want cross-verified, it generates diverse candidate solutions, auto-derives the evaluation dimensions for THAT problem (so you don't have to know what to score on), judges every candidate with independent scorers, and returns the winner plus a ranked top-N shortlist with a score matrix and rationale. It auto-infers the request shape — idea · improvement · comparison · proposal ("what if we do X") · problem-solving · scoping — from your bare prompt, with no flags. Rea

Samuele95/prometheus

Build-time meta-prompting framework that designs, audits, and refactors prompts for tool-calling LLM agents. Use whenever the user wants to write, design, build, improve, refactor, or audit any prompt — a system prompt, agentic-loop seed brief, one-shot task, workflow chain, sub-agent or tool description, system persona, LLM-as-judge or grader rubric, or multi-agent team. Trigger on requests like "write a prompt for X", "I need a system prompt", "design a grader", "build an agent", "set up a Claude Code prompt", "fix/improve/refactor my prompt", or when the user invokes /prometheus — and even

tom-surge/ai-ad-editor

Turn a finished ad script into a finished short-form video ad (9:16, plus 4:5, 1:1 and 16:9 if wanted) from AI-generated clips, the user's own clip library (UGC), or both - voiceover, shot plan, library clip matching, characters, scene images, AI video clips, talking characters with lip-sync, edit, captions, music, hook variants, quality checks and export. Works with any generation tools - an MCP, built for Kie.ai (images, video and lip-sync) with ElevenLabs for the voiceover, or other APIs, or by hand with copy-paste prompts. Nothing paid runs without your yes. Use when the user says "edit th