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".
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Enforces design review gate after brainstorming — bridges superpowers:brainstorming into the metaswarm quality pipeline
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- 📁 api/
- 📁 config/
- 📄 SKILL.md
直接调用后端 API，直接控制项目配置、文件管理、知识库、MCP 等核心功能
Adversarial research analysis framework that uses structured Bull/Bear/Arbiter debates to help users make better research judgments. Maintains a belief graph as backend engine, applies statistical calibration discipline, tracks phase transitions, and detects biases.
Unity CLI Tool. Execute compile, asset search, gameobject manipulation, transform operations, component inspection, scene/prefab management, screenshot capture, and GIF recording. Supports multi-command execution and runtime extension.
Analyzes a Go service using lib-commons v2/v3 and generates a visual migration report showing every change needed to upgrade to lib-commons v4. Produces an interactive HTML page (via ring:visualize) and optionally generates
