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Claude Skills by VectorSpaceLab
github.com/VectorSpaceLab6,028 skills13 installs7,823 views
- Analyze Paper RecoveryAnalyze the gap between a recovered paper result and the paper target, decide whether generated skills are acceptable, and produce actionable module-level feedback for another distillation cycle.Votes: 0GitHub stars: 247
- Create Paper Module SkillConvert one paper module document into a production-quality English Agent Skill with scripts, tests, validation logs, and clear input/output contracts.Votes: 0GitHub stars: 247
- Create Paper SkillsCreates reusable Agent Skills from an AI research paper using the Paper2Skills Distiller workflow. Use in Creator mode when the user provides a paper PDF, paper URL, arXiv id, paper title, or paper/repo pair, or asks to convert a scientific paper into skills with recovery experiments. Prefer a TOML run config; ask for missing paper, repo, recovery, runtime, and budget fields before expensive work.Votes: 0GitHub stars: 247
- Create Repo SkillCreates a repo-specific operating Agent Skill for DisCo Researcher from a local repository by inspecting source files and an installed or auto-prepared, backend-aware Python package environment. Use when the user asks to create a skill for a repo, generate repo-specific skills, analyze a local Python package, or build a DisCo skill that may also be exported to compatible agents. If the user gives only a repo path, analyze the repository structure and native tests/examples first, confirm the e...Votes: 0GitHub stars: 247
- Design Meta SkillDesigns and validates a reusable Creator meta-skill workflow for an evidence-backed recurring construction gap after distill-ml-knowledge selects the design-reusable strategy. Use it to parameterize future source or task anchors, verify the workflow, and prepare an approved managed Creator-infrastructure import.Votes: 0GitHub stars: 247
- Distill Ml KnowledgeCanonical Creator entry point for DisCo skill distillation. Use when turning a repository, paper, tutorial, dataset, benchmark, research note, task, or other source material into a verified operating skill graph. Identify the anchor, scope capabilities, ground them in evidence, construct a candidate graph, verify it into an accepted graph, and record the construction.Votes: 0GitHub stars: 247
- Extend Repo SkillExtends an existing repository-specific Agent Skill with new capabilities, deeper coverage, troubleshooting, scripts, and usability tests. Use when the user asks to expand, improve, deepen, or add coverage to an already implemented skill instead of creating a new skill from scratch. If the repository itself changed and the old skill may be stale, use refresh-repo-skill instead.Votes: 0GitHub stars: 247
- Import Repo Skills To AgentExport all or selected DisCo-managed repository skills, their regenerated repository-index.jsonl, and a scoped area/family repo-skills-router into Codex, Claude Code, or another agent skills directory. Use when the user asks to copy, install, synchronize, or merge repository skills into another agent or project. Resolve exact skill IDs, obtain explicit approval for replacements, then use the bundled transactional helper for validation, Codex policy injection, deterministic router merging, rol...Votes: 0GitHub stars: 247
- Paper Skills DistillerOrchestrate a paper-to-skills distillation loop for AI research papers supplied as local files, URLs, arXiv ids, or titles, optionally with a local or remote repository, by resolving sources, modularizing the paper, creating module skills, preparing recovery runtime, recovering a paper result without the source repo, analyzing gaps, and iterating until acceptable.Votes: 0GitHub stars: 247
- Plan Paper Skill ModulesAnalyze a local AI research paper, optionally using a local repository as supporting evidence, and produce a concise paper profile plus a validated module plan of at most five reusable skill modules.Votes: 0GitHub stars: 247
- Prepare Paper Recovery EnvInspect, prepare, and document an isolated runtime environment for Paper2Skills recovery experiments, including package probes, model/cache checks, GPU status, bounded benchmark acquisition, and a runtime handoff for recover-paper-result.Votes: 0GitHub stars: 247
- Prepare Repo Skill EnvCreate, install, and prove the minimum backend-aware Python inspection environment set for a local repository before create-repo-skill. Use when a repo package must be installed into new or existing Conda, micromamba, uv, or venv environments; when selected native tests/examples require CPU, CUDA, ROCm, MPS, or vendor accelerator dependencies; when a broken inspection environment needs diagnosis; or when hardware/backend compatibility must be verified. Consume the confirmed extraction scope a...Votes: 0GitHub stars: 247
- Recover Paper ResultReproduce a fast paper result using only the paper, module documents, generated module skills, and datasets, explicitly forbidding reads from the original source repository during recovery.Votes: 0GitHub stars: 247
- Refresh Repo SkillRefreshes an existing repository-specific Agent Skill after the source repository changed. Use when the user says repo code, APIs, docs, examples, configs, dependencies, or behavior changed and an old skill may now be stale, outdated, inconsistent with current code, or needs to be resynchronized from repository evidence.Votes: 0GitHub stars: 247
- Repo Skills RouterRoutes substantive ML, AI, data, scientific-computing, and software-engineering requests to the smallest useful set of managed repository skills. Invoke proactively when a request names or implies a package, framework, model family, dataset, modality, workflow, backend, deployment target, evaluation method, or implementation approach that may benefit from repository guidance, even if no repository is named. Narrow progressively from area to family to repository root: inspect only the one or t...Votes: 0GitHub stars: 247
- Verify Repo SkillVerifies a generated or refreshed repo-specific Agent Skill by creating assertion-backed usability test cases, running content-level self-refine, checking backend-classified native repo examples/tests against the prepared CPU/GPU environment plan, enforcing required-backend and import gates, checking static quality, and producing final coverage and handoff artifacts. Use this after create-repo-skill, refresh-repo-skill, or extend-repo-skill finishes an integrated runtime skill draft, and when...Votes: 0GitHub stars: 247
- Workflow AuthoringWrites deterministic DisCo workflow scripts that coordinate subagents with stable coverage IDs, bounded recovery, explicit usage semantics, and structured environment handoffs.Votes: 0GitHub stars: 247
- Huggingface HubUse the Hugging Face Hub Python client and hf CLI for repository and artifact management, downloads and caching, hosted inference, cloud compute, model integration, and safe automation.Votes: 0GitHub stars: 247
- Cli And AutomationRoutes reliable Hugging Face Hub CLI and shell automation, including hf output modes, authentication, file movement, repository and catalog operations, hosted jobs, extensions, and agent-skill generation. Use for hf command selection, JSON or quiet parsing, login and token handling, dry-run or confirmation planning, extensions, or compatible CLI skills.Votes: 0GitHub stars: 247
- Downloads And StorageRoutes Hugging Face Hub file and snapshot downloads, cache and offline recovery, Xet-backed storage, HfFileSystem and hf:// URIs, buckets, and safe copy or sync planning. Use for model, dataset, Space, or kernel downloads; allow/ignore patterns; cache corruption; fsspec browsing; volume mounts; and bucket file movement.Votes: 0GitHub stars: 247
- Hosted Compute And IntegrationsRoutes hosted Jobs and Sandboxes, Space runtime configuration, OAuth and webhooks, framework/model integration, repository cards, tensor serialization, and TensorBoard logging workflows.Votes: 0GitHub stars: 247
- Hub OperationsOperate Hugging Face Hub repositories and API resources with authenticated or mocked Python workflows, explicit revision control, safe mutations, and actionable error recovery.Votes: 0GitHub stars: 247
- Inference And EndpointsRun hosted model inference and manage Hugging Face Inference Endpoints with sync or async clients, provider-aware payloads, streaming, tools, structured outputs, MCP, and safe lifecycle recovery.Votes: 0GitHub stars: 247
- Repo Skills RouterRoutes substantive ML, AI, data, scientific-computing, and software-engineering requests to the smallest useful set of managed repository skills. Invoke proactively when a request names or implies a package, framework, model family, dataset, modality, workflow, backend, deployment target, evaluation method, or implementation approach that may benefit from repository guidance, even if no repository is named. Narrow progressively from area to family to repository root: inspect only the one or t...Votes: 0GitHub stars: 247
- 3d Resnets Pytorch"Routes 3D ResNets PyTorch video action-recognition workflowsVotes: 0GitHub stars: 247
- Data Preparation"Prepare raw videos and annotations for the 3D-ResNets-PyTorchVotes: 0GitHub stars: 247
- Training And Inference"Routes training, fine-tuning, validation, checkpoint, andVotes: 0GitHub stars: 247
- 3ddfa V2"Routes 3DDFA_V2 face-alignment setup, still-image demos, videoVotes: 0GitHub stars: 247
- Onnx And Benchmarking"Use 3DDFA_V2 ONNX Runtime acceleration and CPU latency or speedVotes: 0GitHub stars: 247
- Setup And Assets"Prepare 3DDFA_V2 runtime assets and native extension builds beforeVotes: 0GitHub stars: 247
- Still Image Demo"Run 3DDFA_V2 still-image alignment, rendering, pose, texture, andVotes: 0GitHub stars: 247
- Video And TrackingRun 3DDFA_V2 video, smoothing, and manual webcam tracking workflows.Votes: 0GitHub stars: 247
- 3ddfa"Guide 3DDFA Python inference, geometry rendering,Votes: 0GitHub stars: 247
- Cpp Onnx Port"Operate the optional 3DDFA C++ OpenCV DNN port, checkpoint-to-ONNXVotes: 0GitHub stars: 247
- Geometry Rendering"Reconstruct 3DMM vertices, serialize mesh outputs, and manageVotes: 0GitHub stars: 247
- Python Inference"Operate 3DDFA Python image and video inference for landmarks,Votes: 0GitHub stars: 247
- Training Evaluation"Routes 3DDFA training recipes, loss selection, checkpoint resume,Votes: 0GitHub stars: 247
- Ab3dmot"Operate AB3DMOT 3D multi-object tracking workflows for KITTI andVotes: 0GitHub stars: 247
- Data Conversion"Routes KITTI and nuScenes data-layout, detection-conversion, andVotes: 0GitHub stars: 247
- Evaluation Visualization"Evaluate, threshold, combine, and visualize AB3DMOT KITTI andVotes: 0GitHub stars: 247
- Tracking Pipeline"Run AB3DMOT tracking safely and use the core AB3DMOT tracker APIsVotes: 0GitHub stars: 247
- Accelerate"Use Hugging Face Accelerate for PyTorch training-loop migration,Votes: 0GitHub stars: 247
- Big Model Inference"Use Accelerate big-model inference utilities for metaVotes: 0GitHub stars: 247
- Checkpointing And Tracking"Save and resume Accelerate training state, register checkpointVotes: 0GitHub stars: 247
- Configuration And Cli"Use this sub-skill when working with Hugging Face AccelerateVotes: 0GitHub stars: 247
- Distributed Training Backends"Select, configure, and diagnose Accelerate distributed trainingVotes: 0GitHub stars: 247
- Training Loop Integration"Migrate raw PyTorch training and evaluation loops to Hugging FaceVotes: 0GitHub stars: 247
- Acme"Route Acme reinforcement-learning framework tasks across coreVotes: 0GitHub stars: 247
- Core Workflows"Build and debug Acme core dm_env loops, specs, wrappers, logging,Votes: 0GitHub stars: 247
- Jax AgentsSelect, configure, and adapt Acme JAX agents and JAX experiment workflows.Votes: 0GitHub stars: 247