Browse Skills
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$ skillbazaar install --tag process --agent claudeSign in (free) to install skills with the CLI.
Turn a LinkedIn profile PDF export into a finished resume that exactly matches a Google Doc resume template the user supplies. Use this whenever someone wants their resume rebuilt, reformatted, or refreshed from LinkedIn — including "make my resume look like this template", "here's my LinkedIn PDF and a Google Doc format, fill it in", "convert my LinkedIn profile into a resume", "reformat my resume into this layout", or when they hand over a LinkedIn export and a template doc together. Also use when they only have one of the two and want to start the process.
Run a full discovery cycle from problem hypothesis to validated solution. Use when a team needs a structured path through framing, interviews, synthesis, and experiments.
Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.
AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. Use when writing or reviewing code that uses `@spaces.GPU`, configuring `python_version` or `requirements.txt` for a ZeroGPU Space, or handling ZeroGPU-specific code constraints — pickle-based process isolation, `gr.State` semantics across the worker boundary, no `torch.compile` (use AoTI instead), CUDA wheel-only builds (no `nvcc` at build or runtime), large vs xlarge sizing, and dynamic duration callables. Make sure to use this skill whenever the user mentions ZeroGPU, `@spaces.GPU`, or the `spaces` Python package, or hits ZeroGPU-specific code errors like `PicklingError` across the worker boundary, `illegal duration`, or `flash-attn` wheel-build failures — even when the user does not explicitly ask for ZeroGPU coding guidance. Trigger on `import spaces` or `@spaces.GPU` in code.