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Technology mentions are not dependencies. Client filters require scoped documentation, not a runtime compatibility claim. Detailed guides summarize files read at a fixed commit; they are not runtime tests.

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  1. source-driven-development

    skill collection

    sickn33/agentic-awesome-skillsskills/source-driven-development/SKILL.md

    Grounds every implementation decision in official documentation. Use when you want authoritative, source-cited code free from outdated patterns. Use when building with (SKILL.md metadata excerpt)

    Setup not establishedSource observation · Source example · File structure observedCheck method & evidence

  2. sourcegraph-automation

    skill collection

    composiohq/awesome-claude-skillscomposio-skills/sourcegraph-automation/SKILL.md

    Automate Sourcegraph tasks via Rube MCP (Composio). Always search tools first for current schemas. (SKILL.md metadata excerpt)

    Setup not establishedSource observation · Source example · File structure observedCheck method & evidence

  3. spacing-system

    skill collectionNo comparison task assigned

    byhartvig/agent-skills-collectionmarketing-and-advertising/dev-gtm/spacing-system/SKILL.md

    Create a consistent spacing system based on a base unit with contextual application rules. (SKILL.md metadata excerpt)

    Setup not establishedSource observation · Source example · File structure observedCheck method & evidence

  4. spark-environment-setup

    plugin directoryNo comparison task assigned

    wshobson/agentsplugins/dgx-spark-ops/skills/spark-environment-setup/SKILL.md

    Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). Use when installing PyTorch/Unsloth/TRL/vLLM on DGX Spark, (SKILL.md metadata excerpt)

    Setup not establishedSource observation · Source example · File structure observedCheck method & evidence

  5. spark-memory-thermal-ops

    plugin directory

    wshobson/agentsplugins/dgx-spark-ops/skills/spark-memory-thermal-ops/SKILL.md

    Manage unified memory and thermals during long-running ML jobs on NVIDIA DGX Spark. Use when planning memory headroom for a training run (SKILL.md metadata excerpt)

    Setup not establishedSource observation · Source example · File structure observedCheck method & evidence

  6. spark-optimization

    skill collection

    sickn33/agentic-awesome-skillsskills/spark-optimization/SKILL.md

    Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling (SKILL.md metadata excerpt)

    Setup not establishedSource observation · Source example · File structure observedCheck method & evidence

  7. spark-optimization

    plugin directory

    wshobson/agentsplugins/data-engineering/skills/spark-optimization/SKILL.md

    Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling (SKILL.md metadata excerpt)

    Setup not establishedSource observation · Source example · File structure observedCheck method & evidence

  8. spark-training-gotchas

    plugin directoryNo comparison task assigned

    wshobson/agentsplugins/dgx-spark-ops/skills/spark-training-gotchas/SKILL.md

    Preflight and diagnose the ten known failure modes for ML training on NVIDIA DGX Spark. Use when a training run on DGX (SKILL.md metadata excerpt)

    Setup not establishedSource observation · Source example · File structure observedCheck method & evidence

  9. sparse-autoencoder-training

    skill collectionNo comparison task assigned

    foryourhealth111-pixel/vibe-skillsbundled/skills/sparse-autoencoder-training/SKILL.md

    Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering (SKILL.md metadata excerpt)

    Setup not establishedSource observation · Source example · File structure observedCheck method & evidence

  10. spatial

    skill collectionNo comparison task assigned

    byhartvig/agent-skills-collectiondatabases/duckdb/spatial/SKILL.md

    Answer questions about spatial data using DuckDB. Use when the user mentions locations, coordinates, lat/lng, distances, maps, addresses, "near", "within", "closest", geographic (SKILL.md metadata excerpt)

    Setup not establishedSource observation · Source example · File structure observedCheck method & evidence

  11. spatial-computing-ui

    skill collectionNo comparison task assigned

    sickn33/agentic-awesome-skillsskills/design-it/spatial-computing-ui/SKILL.md

    Web and App implementation guide for Spatial Computing UI. Trigger when user wants floating elements, environmental awareness, and Apple Vision Pro style. (SKILL.md metadata excerpt)

    Setup not establishedSource observation · Source example · File structure observedCheck method & evidence

  12. spatial-design

    skill collectionNo comparison task assigned

    sickn33/agentic-awesome-skillsskills/design-it/spatial-design/SKILL.md

    Web and App implementation guide for Spatial Design. Trigger when user wants environment-aware layouts, Apple Vision Pro inspiration, and mixed reality aesthetics. (SKILL.md metadata excerpt)

    Setup not establishedSource observation · Source example · File structure observedCheck method & evidence

Snapshot w7-discovery-20260912 · 8364 file observations across 30 repositories. Source collection is not a quality or safety assessment.