[CLI] Generate hf-cli skill locally instead of downloading from bucket

[hanouticelina]

Summary

For the hf-cli skill specifically, both hf skills add and hf skills update now use build_skill_md() (the same function used by hf skills preview) to generate the SKILL.md content from the installed CLI version, instead of downloading from the marketplace bucket.

• hf skills add / hf skills add hf-cli: calls build_skill_md() + install_skill_from_content() instead of add_skill() (which fetches from bucket)
• hf skills update: passes generated_content_overrides={DEFAULT_SKILL_ID: build_skill_md()} so the hf-cli skill is regenerated locally rather than re-downloaded
• All other skills: behavior is completely unchanged — they still go through the normal marketplace bucket install/update flow
• Bonus: when only hf-cli needs updating, the bucket is not contacted at all (the needs_marketplace check skips the API call)

Changes

_skills.py:

• Added install_skill_from_content(name, content, destination_root, force) — writes generated content as SKILL.md + managed marker, with the same atomic-replace and error handling as the bucket-based install
• Added _write_skill_content() helper
• update_skills() now accepts generated_content_overrides: dict[str, str] | None — skills whose name matches an override key are updated from the provided content instead of the bucket
• _apply_single_update() checks for override content before falling back to marketplace lookup

skills.py:

• _install_to() detects hf-cli by name and calls install_skill_from_content(DEFAULT_SKILL_ID, build_skill_md(), ...) instead of add_skill()
• skills_update() passes generated_content_overrides={DEFAULT_SKILL_ID: build_skill_md()} to update_skills()

Decision: no code duplication

Per the instructions, the special-case branch directly calls build_skill_md() — the same function hf skills preview uses — rather than reimplementing any content generation logic.

Slack Thread

  

[bot-ci-comment]

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