AugmentClaude
VideoDevOps

KrillinAI Pipeline Validator

By krillinai· krillinai/OpenCreator· 0

Validate multi-stage KrillinAI CLI output plans with dry-run testing.

Installation

  1. Make sure Claude is on your device and in your terminal.

    Skills load from ~/.claude/skills/ when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then run claude in any terminal to verify.

    One-time setup
    npm i -g @anthropic-ai/claude-code

    Already have it? Skip ahead.

  2. Paste into Claude Code or into your terminal.
    Install
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    This copies the whole skill folder into ~/.claude/skills/krillinai-pipeline-krillinai/ — the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.

    Faster alternative (instruction-only skills)

    Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.

    Quick install (SKILL.md only)
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  3. Restart Claude Code.

    Quit and reopen Claude Code (or any other agent that loads from ~/.claude/skills/). New skills are picked up on startup.

  4. Just ask Claude.

    Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.

Prefer to read the source first? Open on GitHub.

When Claude uses it

Use when validating or documenting a multi-stage KrillinAI CLI output plan; the current pipeline command supports dry-run planning only, not end-to-end execution.

What this skill does

KrillinAI Pipeline

Use this skill to validate a requested stage plan. Run real work through the individual stage commands because non-dry-run pipeline execution returns unsupported_command.

Plan Validation

(cd "$KRILLINAI_CWD" && "$KRILLINAI_CLI" pipeline \
  --outputs "subtitle,tts,vertical-bilingual" \
  --dry-run)

Outputs Values

OutputStage
subtitleGenerate subtitle files
ttsGenerate dubbing
horizontal-bilingualRender landscape bilingual video
horizontal-dubbedRender landscape dubbed video
vertical-bilingualRender portrait bilingual video
vertical-dubbedRender portrait dubbed video
coverGenerate cover

The dry-run validates output names and returns a successful pipeline-stage JSON response. It does not execute stages or write a task manifest.

Execute The Plan

Map the validated outputs to subtitle, tts, render-horizontal, render-vertical, and cover. Run each required command independently and use the same absolute --workdir.

Recovery Strategy

  • If subtitle succeeds and render fails, rerun only render with the same --workdir.
  • If TTS fails, keep subtitle outputs and rerun tts after fixing provider config.
  • Read krillinai_manifest.json before rerunning to avoid repeating expensive work.

Verification

  • Require terminal JSON with "ok": true for dry-run validation.
  • For real work, confirm every independently executed stage succeeded.
  • Confirm manifest stages and requested output files, not just the plan response.
  • Inspect final requested media/cover files, not only intermediate outputs.
  • For shared CLI details, read skills/krillinai-cli/references/cli-contract.md.

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