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Add Super Orchestrator skill#247

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nikhil49023:add-super-orchestrator
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Add Super Orchestrator skill#247
nikhil49023 wants to merge 1 commit into
NVIDIA:mainfrom
nikhil49023:add-super-orchestrator

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This PR registers the Super Orchestrator skill (https://github.com/nikhil49023/super-orchestrator-skill) in the components index. It has been validated with SkillSpector and scored 0/100 (Safe).

Signed-off-by: nikhil49023 <kilanisainikhil@gmail.com>
@mosheabr

mosheabr commented Jun 8, 2026

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Hi Nikhil, thanks for putting in the effort here, and for running it through SkillSpector before submitting.

Couple of things blocking this from landing in the catalog:

  1. Source repo location. Catalog entries have to point at a public repo under an NVIDIA-owned GitHub org (NVIDIA/*, NVIDIA-NeMo/*, NVIDIA-AI-Blueprints/*, etc.). nikhil49023/super-orchestrator-skill is a personal repo, so it doesn't qualify under the current rules.
  2. External contributor. The catalog is currently restricted to NVIDIA-authored skills, with CI enforcement on commit author affiliation. External skills need an OSRB-equivalent review path that doesn't exist yet for community submissions.

The work isn't lost — you can keep super-orchestrator-skill published on your own GitHub and users can install it directly from there. We're aware there's demand for a community-contribution path and it's something we're thinking about, but it's not in place today.

Closing this PR. Thanks again for the submission, and feel free to keep an eye on the repo for when external contribution opens up.

@mosheabr mosheabr closed this Jun 8, 2026
jensjebens added a commit to jensjebens/skills that referenced this pull request Jul 18, 2026
…t catalog re-sign)

Updates the catalog copy to the latest reviewed content from upstream
digitaltwin-performance-skill (7dfd131), mirrored via hub PR NVIDIA#247: NV-BASE v3.2.2
dedup cleanup (SPDX .md headers, ## Instructions/## Output Format consolidation,
instancing-guide collapse), Tier-3 eval schema migration (skill_name + evals[]),
the descent epic, customer-identifier removal, and the Tier-1 SDI-2 probe-snapshot
trim. plugins/nvidia-skills regenerated byte-identical.

skill.oms.sig is stale here pending a fresh signature: the hub signing pipeline is
currently blocked by a CI clone-auth issue (its GitLab pipeline can't clone
physical-ai-skill-hub-dev), so this content needs a direct catalog /nvskills-ci
re-sign — same procedure as physical-ai-neural-reconstruction NVIDIA#361.

Signed-off-by: Jens Jebens <jjebens@nvidia.com>
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
jensjebens added a commit to jensjebens/skills that referenced this pull request Jul 18, 2026
…t catalog re-sign)

Updates the catalog copy to the latest reviewed content from upstream
digitaltwin-performance-skill (7dfd131), mirrored via hub PR NVIDIA#247: NV-BASE v3.2.2
dedup cleanup (SPDX .md headers, ## Instructions/## Output Format consolidation,
instancing-guide collapse), Tier-3 eval schema migration (skill_name + evals[]),
the descent epic, customer-identifier removal, and the Tier-1 SDI-2 probe-snapshot
trim. plugins/nvidia-skills regenerated byte-identical.

skill.oms.sig is stale here pending a fresh signature: the hub signing pipeline is
currently blocked by a CI clone-auth issue (its GitLab pipeline can't clone
physical-ai-skill-hub-dev), so this content needs a direct catalog /nvskills-ci
re-sign — same procedure as physical-ai-neural-reconstruction NVIDIA#361.

Signed-off-by: Jens Jebens <jjebens@nvidia.com>
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
jensjebens added a commit to jensjebens/skills that referenced this pull request Jul 18, 2026
…t catalog re-sign)

Updates the catalog copy to the latest reviewed content from upstream
digitaltwin-performance-skill (7dfd131), mirrored via hub PR NVIDIA#247: NV-BASE v3.2.2
dedup cleanup (SPDX .md headers, ## Instructions/## Output Format consolidation,
instancing-guide collapse), Tier-3 eval schema migration (skill_name + evals[]),
the descent epic, customer-identifier removal, and the Tier-1 SDI-2 probe-snapshot
trim. plugins/nvidia-skills regenerated byte-identical.

skill.oms.sig is stale here pending a fresh signature: the hub signing pipeline is
currently blocked by a CI clone-auth issue (its GitLab pipeline can't clone
physical-ai-skill-hub-dev), so this content needs a direct catalog /nvskills-ci
re-sign — same procedure as physical-ai-neural-reconstruction NVIDIA#361.

Signed-off-by: Jens Jebens <jjebens@nvidia.com>
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
mosheabr pushed a commit that referenced this pull request Jul 21, 2026
…t catalog re-sign)

Updates the catalog copy to the latest reviewed content from upstream
digitaltwin-performance-skill (7dfd131), mirrored via hub PR #247: NV-BASE v3.2.2
dedup cleanup (SPDX .md headers, ## Instructions/## Output Format consolidation,
instancing-guide collapse), Tier-3 eval schema migration (skill_name + evals[]),
the descent epic, customer-identifier removal, and the Tier-1 SDI-2 probe-snapshot
trim. plugins/nvidia-skills regenerated byte-identical.

skill.oms.sig is stale here pending a fresh signature: the hub signing pipeline is
currently blocked by a CI clone-auth issue (its GitLab pipeline can't clone
physical-ai-skill-hub-dev), so this content needs a direct catalog /nvskills-ci
re-sign — same procedure as physical-ai-neural-reconstruction #361.

Signed-off-by: Jens Jebens <jjebens@nvidia.com>
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
mosheabr added a commit that referenced this pull request Jul 24, 2026
Full skill resync from NVIDIA-dev/physical-ai-skill-hub-dev PR #247
(head ac0a52b): NVSkills Tier-1/Tier-3 fixes (evals.json canonical flat
root array, restructure-mode.md anti-refusal warn/confirm, SPDX header
cleanup in report templates) plus upstream dedup cleanup + descent work.
Direct-catalog re-sign path (#361) — hub sign pipeline fails at
detect-changes.

Signed-off-by: Moshe Abramovitch <moshea@nvidia.com>
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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2 participants