Use when the user has written (or wants to write) a ModularPipelineBlocks subclass in a local Python file and needs to package it into a Hub-uploadable directory. Covers the workflow from a single block.py file to a published custom-block repo that consumers can load via ModularPipeline.frompretrained( …
Use when the user wants to run a diffusers pipeline from a terminal (one-off generation, batch jobs, smoke-testing a new model), run on HF Sandbox hardware via --remote, introspect a pipeline's input schema before calling it, or attach a LoRA at inference time. Prefer this over writing ad-hoc Python scripts for…
Use when adding a new model or pipeline to diffusers, setting up file structure for a new model, converting a pipeline to modular format, or converting weights for a new version of an already-supported model.
Deploys one assigned DynamoGraphDeployment and proves it with an OpenAI-compatible smoke test. Use when user-interviewer has captured the user-provided baseline DGD or hypothesis-challenger has approved a later DGD.
Adds, updates, moves, or removes content on the Dynamo Fern docs site — standard docs pages, catalog-driven recipe and feature-benchmark pages, examples, recipes, and translations — keeping everything in line with the documentation style guide. Use for any change under docs/, recipes/, or examples/ (new page, edit…
Runs deterministic byte-parity and paired performance campaigns for Dynamo offline KV-aware replay across native-G1 vLLM and SGLang configurations, including forced scheduler-pressure and disaggregated handoff lifecycles. It is used when validating replay refactors, routing changes, scheduler-event changes, or…
Detect and analyze abusive accounts on Pollinations. IP clustering, multi-signal scoring, ban recommendations. Use when investigating abuse, bot farms, or suspicious usage patterns.
Record terminal demo videos of the polli CLI using VHS (charmbracelet) with polli-generated voiceover and background music. Ships a working example/demo.tape + example/render.sh pipeline. Use when the user asks to make, record, or iterate on a polli demo video, LinkedIn/social clip of the CLI, or any terminal…
Generate images, text, audio, video, and transcribe speech via the Pollinations API using the polli CLI. Use when asked to generate media, call pollinations.ai, check pollen balance, list models, manage API keys, inspect quests, manage agents or my-models, or run polli commands.
All-atom protein design using BoltzGen diffusion model. Use this skill when: (1) Need side-chain aware design from the start, (2) Designing around small molecules or ligands, (3) Want all-atom diffusion (not just backbone), (4) Require precise binding geometries, (5) Using YAML-based configuration. For structure…
All-atom protein design using BoltzGen diffusion model. Use this skill when: (1) Need side-chain aware design from the start, (2) Designing around small molecules or ligands, (3) Want all-atom diffusion (not just backbone), (4) Require precise binding geometries, (5) Using YAML-based configuration. For backbone-only…
Generate protein backbones using RFdiffusion, a diffusion-based generative model for de novo protein structure generation. Use this skill when: (1) Designing binder scaffolds for a target protein, (2) Generating novel protein backbones from scratch, (3) Scaffolding functional motifs into new proteins, (4) Specifying…
Integrate an external model or pipeline into TeleFuser while preserving upstream behavior and reusing TeleFuser's existing pipeline, stage, model-loading, configuration, example, CLI, and service interfaces. Use for new model support, new pipeline integration, or porting an upstream inference implementation.
Optimize an existing TeleFuser pipeline using measured bottlenecks and current repository-supported ops, parallelism, caching, quantization, compilation, or offload mechanisms. Use for latency, throughput, GPU memory, OOM, multi-GPU, or inference-performance work after a correct baseline exists.
Profile a TeleFuser pipeline progressively from stage timing to isolated kernel analysis and optional Nsight Compute diagnosis. Use when investigating latency, throughput, memory, output cadence, slow stages, or GPU kernel bottlenecks before optimization.
All-atom protein design using BoltzGen diffusion model. Use this skill when: (1) Need side-chain aware design from the start, (2) Designing around small molecules or ligands, (3) Want all-atom diffusion (not just backbone), (4) Require precise binding geometries, (5) Using YAML-based configuration. For sequence-only…
Framework-aware workflow for model-engineering tasks in common LLM, VL, and image-generation repositories. Use when Codex needs to inspect or modify training code, config files, launch scripts, model definitions, tokenizer or image-processor settings, checkpoint utilities, PEFT adapters, diffusion pipelines…
Automate diffusion-pipe image or image-edit training with stable LoRA presets and selected full finetune presets. Use when Codex needs to prepare a WSL or Linux diffusion-pipe workspace, enforce fixed dataset paths, generate TOML configs, bootstrap dependencies, or launch VRAM-aware training runs for Flux, Qwen-Image…