Prepare audio stems, the separate parts of a track, for mixing by matching their durations with silence, loops, or crossfades. Verify each generated and processed file before moving to the next production step.
- Match audio parts with different durations
- Extend drums and melodic parts using suitable methods
- Check audio specifications before mixing
HKUDS/OpenSpace☆ 7.8KUpdated Aug 13, 2026
Produce audio in separate stems, meaning individual instrument tracks, and verify each output as you go. Align track lengths with silence, loops, or crossfades, then apply effects, mix a master, and package the files.
- Align instrument tracks to a reference audio file
- Choose how to extend tracks that are too short
- Verify audio properties after generation and effects
HKUDS/OpenSpace☆ 7.8KUpdated Aug 13, 2026
Build serverless endpoints that relay external API requests for a dashboard while keeping API keys on the server. Includes Vercel examples for input checks, caching, cross-origin access, and consistent JSON responses.
- Connect a dashboard to external APIs without exposing API keys
- Create endpoints for stock quotes and news
- Standardize API responses and error handling
HKUDS/OpenSpace☆ 7.8KUpdated Aug 13, 2026
Produce a master track and separate audio parts through a structured Python workflow. Apply filters and reverb, export WAV files with consistent settings, package them in a ZIP archive, and check that the deliverables meet the requested specifications.
- Export a master track with separate audio parts
- Apply filters and reverb to audio
- Check duration and format across deliverables
HKUDS/OpenSpace☆ 7.8KUpdated Aug 13, 2026
Keep document creation moving when web searches and page retrieval repeatedly fail. The skill preserves the original task, uses the model’s existing knowledge, and clearly identifies information that could not be checked against external sources.
- Continue drafting after repeated web retrieval failures
- Preserve task requirements during network errors
- Mark information that could not be externally verified
HKUDS/OpenSpace☆ 7.8KUpdated Aug 13, 2026
When Python execution repeatedly fails in execute_code_sandbox, use a file-based alternative: save the script, run it through the shell, and capture results or errors. The guidance covers paths, imports, timeouts, structured output, and optional cleanup.
- Retry Python work through the shell after repeated sandbox failures
- Run longer tasks with an adjusted timeout
- Execute Python work that needs multiple files or system utilities
HKUDS/OpenSpace☆ 7.8KUpdated Aug 13, 2026