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Cli appendix job outline

Skill ThanhNguyxnOrg/blendops/skills/cli-appendix-job-outline

AI-native Blender workflow and skill pack for non-Blender users, built around official Blender MCP, Claude Blender Connector, and Blender CLI.

Install
npx -y skills add ThanhNguyxnOrg/blendops --skill cli-appendix-job-outline

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  • 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

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Plan headless blender --background export or render jobs when MCP chat control is a poor fit; cite upstream Blender CLI docs only.

SKILL.md

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cli-appendix-job-outline

Purpose

Structure CLI fallback appendix jobs (batch render, batch export, scripted scene setup) using Blender's documented command-line interface — without presenting arbitrary Python as the user-facing product surface.

Quick start

  • classify job type via references/job-type-matrix.md
  • capture ordering cautions references/flag-order-reminders.md
  • state limitations references/stateless-limitations.md
  • point user to upstream CLI manual for exact flags

When to use

  • CI / render farm / repeatable exports
  • MCP unavailable or disallowed by policy
  • deterministic batch operations vs exploratory modeling

When not to use

  • interactive viewport iteration primary goal
  • user expects Connector chat loop

Trigger phrases

  • "headless blender"
  • "batch render CLI"
  • "--background --python"
  • "render farm outline"

Prerequisites / readiness

  • user accepts stateless job model
  • Blender executable accessible to shell running job

Input schema

Required inputs

InputWhy it is required
Job intent (render vs export vs scripted pipeline)Chooses matrix row
Output artifact expectationsDrives validation hooks

Optional inputs

InputUse
GPU availabilityDevice flags note
Mixture of Windows/Linux pathsQuote escaping caution

Output schema

Primary output

  • job outline: phases (startup, load, process, save)
  • flag categories to research upstream (not copy-paste dumps unless user explicitly maintains scripts)
  • validation / logging expectations

Evidence / caveat output

Runtime status: Not Run | Attempted | Produced | Verified | Failed | Blocked / Not Run
Artifact status: Not Run | Not Produced | Produced | Verified | Failed
Evidence used: <CLI logs when available>
Limitations: no viewport Grab; script args via `--` separator per upstream docs

Required laws

  • ../../laws/evidence-before-done.md
  • ../../laws/non-blender-user-language.md
  • ../../laws/no-arbitrary-python-interface.md
  • ../../laws/official-runtime-only.md

Official runtime boundary

Planning outline — BlendOps does not execute Blender. CLI fallback appendix is documented upstream as a first-class Blender CLI surface; BlendOps has no in-repo evidence file yet. Stay truthful: MCP paths remain Path 1 / Path 2 when interactivity matters.

Operating procedure

  1. Confirm MCP ill-fit reason documented.
  2. Pick matrix row.
  3. List phases + evidence hooks (stdout tail, written output paths).
  4. Tell user to verify flags against current Blender manual.

Mode handling

Text-only mode

Abstract outline only.

Runtime-ready mode

Allow attaching sample log locations — still no success claim without artifacts.

Blocked runtime mode

Describe intended future job pack.

Validation checklist

  • Stateless limits acknowledged
  • Upstream CLI manual cited generically (URL in docs/runtime-stack-strategy.md chain)
  • No "BlendOps runs Blender" implication

Pass / Warn / Fail rubric

VerdictCriteria
PassCoherent phased outline + evidence hooks
WarnGPU device uncertain — dual-branch note
FailPresents giant opaque Python as deliverable

Cross-skill handoff

  • Pick MCP vs CLI → ../runtime-path-picker/SKILL.md
  • Export format choices → ../output-format-decision/SKILL.md
  • Evidence recording → ../render-export-evidence/SKILL.md

References

  • references/job-type-matrix.md
  • references/flag-order-reminders.md
  • references/stateless-limitations.md
  • ../../docs/runtime-stack-strategy.md

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.