Loading...
Loading...
Found 46 Skills
Execute Python code in isolated rootless containers with MCP server proxying for token-efficient agent workflows
Use this skill when an agent needs to write reusable code, store it under the configured Hermes Code folder, run it directly through local code execution, or host it behind a Make-managed E2B Code Shell scenario. Use for tool-building, generated business automation scripts, and nested flows where hosted code calls Make API shell scenarios for SaaS access without receiving raw OAuth, Make, or E2B secrets.
Use when a subtask is ready to implement and has a subtask JSON file with acceptance criteria and deliverables.
Execute Python code in isolated rootless containers with MCP server proxying to reduce context bloat from 30K to 200 tokens
Execute Python code locally with marketplace API access for 90%+ token savings on bulk operations. Activates when user requests bulk operations (10+ files), complex multi-step workflows, iterative processing, or mentions efficiency/performance.
Design and scaffold the code execution pattern for MCP-based agent systems. Use when building agents that interact with many MCP tools, when intermediate data is too large for model context, when you need loops/conditionals across tool calls, or when PII must stay out of the model context. Based on Anthropic's engineering guidance.
Search Zotero library using code execution for efficient multi-strategy searches without crash risks. Use this skill when the user needs comprehensive Zotero searches with automatic deduplication and ranking.
Personal wiki at ~/.ultrabrain/ that accumulates knowledge across sessions using an LLM-maintained-wiki pattern. Use when the user asks factual, technical, or decision-oriented questions that may have been previously captured (check index.md before answering), or explicitly asks to capture/記下來/save session content, ingest/整合 raw entries into the wiki, lint/檢查 the vault, or bootstrap a new vault. Skip for small talk, current-file questions, or code-execution requests.
Design the test/sandbox mode of a public API platform so external integrators build and validate without touching real money, messages, or data - isolation architecture (soft test-mode toggle vs hard separate-copy sandbox), test-key prefixing, magic test values, simulated objects and personas, on-demand test events, deterministic time manipulation, reset and seeding, sandbox quotas, abuse controls, and graduation to live. Use whenever the user mentions a sandbox, test mode, test API keys, magic or dummy test values, simulated webhook events, or demo data - even if they never say "test mode". Not code-execution sandboxing or unit-test mocking. Do NOT use for partner sandbox provisioning - use samber/developer-platform-skills@partner-app-onboarding instead.
Builds, runs, debugs, and operates applications on AWS Lambda MicroVMs — Firecracker-isolated, snapshot-resumable serverless compute environments running inside a container with up to 8 hr lifetimes. Applicable when workloads need strong isolation between tenants, isolated serverless compute, sandbox compute, or secure multi-tenant execution. Also suited for AI/agent code-execution sandboxes, interactive code playgrounds and notebooks (Jupyter, REPLs, dev environments running user-supplied code), reinforcement-learning environments, multi-tenant CI executors and build runners, sessionful game or simulation servers, or isolated security scanners. Also applicable when the workload needs long-lived sessions, a real port-listening server (gRPC, WebSocket, custom TCP protocols), state preserved across periods of inactivity (suspend/resume), container-level access (FUSE, eBPF, custom syscalls), or session-affine routing.
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). Pre-installed: NumPy, Pandas, Matplotlib, requests, BeautifulSoup, Selenium, Playwright, MoviePy, Pillow, OpenCV, trimesh, and 100+ more libraries. Use for: data processing, web scraping, image manipulation, video creation, 3D model processing, PDF generation, API calls, automation scripts. Triggers: python, execute code, run script, web scraping, data analysis, image processing, video editing, 3D models, automation, pandas, matplotlib
Build sandboxed applications for secure code execution. Load when building AI code execution, code interpreters, CI/CD systems, interactive dev environments, or executing untrusted code. Covers Sandbox SDK lifecycle, commands, files, code interpreter, and preview URLs.