- 📁 cases/
- 📁 examples/
- 📁 references/
- 📄 .gitignore
- 📄 CHANGELOG_v2.9.0.md
- 📄 README.md
Node.js / Python 接口自动化与签名还原工程技能：对自有平台或已授权平台的 Web API 进行签名分析与接口对接， 通过 Camoufox 反检测浏览器动态调试与静态源码分析，定位并还原前端加密/签名逻辑， 使用 Node.js 或 Python 实现算法复现与自动化接口调用。 深度集成 camoufox-reverse MCP v0.8.0（C++ 引擎级指纹伪装，78 个逆向分析工具，域级 Session 档案 + 断言系统）。 擅长 JSVMP 虚拟机保护的双路径攻克：路径 A 算法追踪（Hook / 插桩 / 日志分析 / 源码级插桩四板斧， 通用对RS 5/6、Akamai sensor_data、webmssdk、obfuscator.io）、 路径 B 环境伪装（jsdom/vm 沙箱 + 浏览器环境采集对比 + 全量补丁）。 v2.6.0 新增反爬类型三分法（签名型/行为型/纯混淆）作为顶层决策框架，明确 pre_inject_hooks 与 hook_jsvmp_interpreter(mode="proxy") 对签名型反爬不可用， 引入 mode="transparent" 签名安全备选与 MCP 侧 AST 源码插桩（消除 CDN 依赖）。 v2.9.0 新增域级 Session 档案（跨任务复用反爬判定/指纹基准/Cookie 归因）与断言驱动交付体系， Phase 5 升级为断言驱动结构化交付，新增降级梯度原则防止 AI 过早放弃。
Expert in Elixir, Phoenix Framework, and OTP. Specializes in building concurrent, fault-tolerant, and real-time applications using the BEAM. Use when building Elixir applications, working with Phoenix, implementing GenServers, or designing distributed systems on the BEAM.
Deploy the current project to the cloud using Defang. Guides through CLI setup, authentication, compose file creation, stack selection, config management, and deployment.
Check and analyze upstream Storybook repository changes that may need to be synced to storybook-rsbuild. Use this skill whenever the user wants to check for upstream Storybook changes, review what's new in the official Storybook repo, identify changes needing sync, or compare storybook-rsbuild against the upstream. Activate for phrases like "check upstream", "sync check", "storybook changes", "need to sync", "what changed upstream", or any mention of tracking changes from storybookjs/storybook. Even casual mentions like "anything new in storybook?" should trigger this skill.
Query previous pi sessions to retrieve context, decisions, code changes, or other information. Use when you need to look up what happened in a parent session or any other session file.
Build production-ready Tavily integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web search, content extraction, crawling, and research in agentic workflows, RAG systems, or autonomous agents.
Tensorlake SDK — guide for writing code that uses Tensorlake's sandbox product to build applications and AI agents. Use when the user mentions tensorlake or sandboxes, or asks about Tensorlake APIs/docs/capabilities. Also use when the user is building an application, coding agent, or agentic system that needs a sandbox to run code — for example, executing LLM-generated or untrusted code, a sandbox that persists across sessions via suspend/resume, snapshots for forking parallel workers, custom sandbox images, exposing ports out of a sandbox, egress allowlists, PTY/interactive shells, computer-use / desktop automation, or file transfer in/out. Also covers Tensorlake's sandbox-native durable workflow orchestration. Works alongside any LLM provider (OpenAI, Anthropic), agent framework (LangChain), database, or API as the infrastructure layer.
Guide agent through geospatial ETL workflows using built-in, learned, and fabricated geo tools
Run one iteration of the autoresearch loop — study existing attack methods, design a better optimizer, implement it, benchmark it, and commit. Meant to be called repeatedly via /loop.
Use this when the user needs to choose between multiple ML routes after survey but before committing to implementation. Compares candidate approaches, selects one, records rejected routes, and keeps a fallback.
Build and run multi-agent pipelines using AgentFlow. Use when the user wants to orchestrate codex, claude, or kimi agents in parallel, in sequence, or in iterative loops. Trigger when the user mentions multi-agent workflows, fan-out tasks, code review pipelines, iterative implementation loops, running agents on EC2/ECS, or any task that needs multiple AI agents coordinated together. Also trigger for "agentflow", "pipeline", "graph of agents", "fanout", "shard", or "run codex on remote".
Enforces design review gate after brainstorming — bridges superpowers:brainstorming into the metaswarm quality pipeline
