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619 matches

Observed source files, not tested installations
Select 2–3 skills for the same task.
  1. googleworkspace/cliskills/gws-workflow-email-to-task/SKILL.md

    Google Workflow: Convert a Gmail message into a Google Tasks entry. (SKILL.md metadata excerpt)

    Source example · File structure observedView method & source
  2. googleworkspace/cliskills/gws-workflow-file-announce/SKILL.md

    Google Workflow: Announce a Drive file in a Chat space. (SKILL.md metadata excerpt)

    Source example · File structure observedView method & source
  3. googleworkspace/cliskills/gws-workflow-standup-report/SKILL.md

    Google Workflow: Today's meetings + open tasks as a standup summary. (SKILL.md metadata excerpt)

    Source example · File structure observedView method & source
  4. googleworkspace/cliskills/gws-workflow-weekly-digest/SKILL.md

    Google Workflow: Weekly summary: this week's meetings + unread email count. (SKILL.md metadata excerpt)

    Source example · File structure observedView method & source
  5. harness-engineering

    community example

    github/awesome-copilotskills/harness-engineering/SKILL.md

    Adopt repository-level harness engineering for coding agents. Use when a user wants to prevent repeated AI coding-agent mistakes (Publisher-index excerpt; file read separately)

    Source example · File tree not reviewedView method & source
  6. hf-cli

    skill collection

    huggingface/skillsskills/hf-cli/SKILL.md

    Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging (SKILL.md metadata excerpt)

    Source example · File structure observedView method & source
  7. huggingface/skillsskills/hf-cloud-aws-context-discovery/SKILL.md

    Discover the user's local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task. Use this (SKILL.md metadata excerpt)

    Source example · File structure observedView method & source
  8. huggingface/skillsskills/hf-cloud-python-env-setup/SKILL.md

    Set up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. Use this skill (SKILL.md metadata excerpt)

    Source example · File structure observedView method & source
  9. huggingface/skillsskills/hf-cloud-sagemaker-deployment-planner/SKILL.md

    Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants to deploy, host, (SKILL.md metadata excerpt)

    Source example · File structure observedView method & source
  10. huggingface/skillsskills/hf-cloud-sagemaker-iam-preflight/SKILL.md

    Ensure a usable SageMaker execution role exists before deploying or training. Use this skill whenever about to create a SageMaker endpoint, model, (SKILL.md metadata excerpt)

    Source example · File structure observedView method & source
  11. huggingface/skillsskills/hf-cloud-sagemaker-production-defaults/SKILL.md

    Create a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by default. Use this skill whenever (SKILL.md metadata excerpt)

    Source example · File structure observedView method & source
  12. huggingface/skillsskills/hf-cloud-serving-image-selection/SKILL.md

    Pick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to (SKILL.md metadata excerpt)

    Source example · File structure observedView method & source

Snapshot s4-discovery-20260908 · 619 file observations across 5 repositories. Source collection is not a quality or safety assessment.