Agent skill

KrillinAI Pipeline Planner

by krillinai in krillinai/OpenCreator

Validates a KrillinAI multi-stage output plan with the pipeline command's dry run, then maps it to the individual stage commands that do the real work.

Apache-2.0Auto-check passedMedia & Creative

Install KrillinAI Pipeline Planner

skills CLI
$ npx skills add krillinai/OpenCreator --skill krillinai-pipeline -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install krillinai/OpenCreator krillinai-pipeline --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/krillinai/OpenCreator.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/krillinai-pipeline .claude/skills/krillinai-pipeline && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
krillinai-pipeline
GitHub stars
13k
Token cost
~488 tokens
SKILL.md length
191 words
Files
1
Skills in repo
8
Repo updated
First seen
Licence
Apache-2.0

At a glance

Validates a KrillinAI multi-stage output plan with the pipeline command's dry run, then maps it to the individual stage commands that do the real work.

  • Checking a requested set of KrillinAI outputs before running anything
  • SKILL.md covers Plan Validation, Outputs Values, Execute The Plan and Recovery Strategy, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Planning subtitle, dubbing and bilingual video renders for one source video

What it does

The pipeline command currently supports dry-run planning only, and a real call returns unsupported_command. The agent validates a requested list of outputs, such as subtitle, tts, horizontal or vertical bilingual or dubbed video, and cover, and looks for a terminal JSON response with ok set to true. The dry run does not execute stages or write a task manifest.

To execute, the validated outputs are mapped to the subtitle, tts, render-horizontal, render-vertical and cover commands, each run independently with the same absolute workdir. Recovery rules: rerun only render if subtitles succeeded, keep subtitles and rerun tts after fixing provider config if it failed, and read the manifest before rerunning to avoid repeating costly work. Verification means checking manifest stages and the final media and cover files, not just the plan response.

When your agent uses it

  • Checking a requested set of KrillinAI outputs before running anything
  • Planning subtitle, dubbing and bilingual video renders for one source video
  • Recovering from a failed stage without redoing the earlier ones

Example prompts

  • “Validate a dry-run plan for subtitle, tts and vertical-bilingual outputs.”
  • “Subtitles finished but the render failed, so rerun only the render.”
  • “Which commands do I run for horizontal dubbed video and a cover?”

Requirements

  • The KrillinAI CLI

What it can do on your machine

Read from SKILL.md and the folder at commit 837dbb4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

KrillinAI Pipeline Planner loads about 488 tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 191 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~45
When it runs · the whole SKILL.md, loaded when a task matches
~488

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from krillinai/OpenCreator at commit 837dbb4, republished under its Apache-2.0 licence (© krillinai). 191 words, ~488 tokens.

Download SKILL.mdSave it as .claude/skills/krillinai-pipeline/SKILL.md (or your agent's skills folder).
name
krillinai-pipeline
description
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.

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

bash
(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.

© krillinai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/krillinai-pipeline of krillinai/OpenCreator.

Open the folder on GitHubat commit 837dbb4

Compare with similar skills

KrillinAI Pipeline Planner next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

KrillinAI Pipeline Planner compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
KrillinAI Pipeline Planner this skillkrillinai/OpenCreator13k—~488Automated safety check: PassApache-2.0
MoneyPrinterTurbo Video Generatorharry0703/MoneyPrinterTurbo130k—~2.1kAutomated safety check: WarnMIT
VideoCaptioner SubtitlesWEIFENG2333/VideoCaptioner16k—~1.7kAutomated safety check: PassGPL-3.0
Making Demo Videosnukeop/nuclear19k—~892Automated safety check: PassAGPL-3.0
JianYing Editor Automationluoluoluo22/jianying-editor-skill3.9k—~2.2kAutomated safety check: PassApache-2.0
Vox DirectorAlisa0808/vox-director2.2k—~5.6kAutomated safety check: PassMIT

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More from krillinai/OpenCreator

All 8 skills in this repo
  • KrillinAI CLI Operator

    krillinai/OpenCreator

    Routes agents to the right KrillinAI command for subtitles, dubbing, video rendering, covers and speech, and explains how to read its JSON and manifest output.

    13k GitHub stars~869 tokensUpdated today
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  • KrillinAI Cover Image

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    Generates a cover image with the KrillinAI CLI from a finished image prompt, then checks the output files, the saved prompt and the manifest.

    13k GitHub stars~441 tokensUpdated today
    Auto-check passed
  • KrillinAI Render Vertical

    krillinai/OpenCreator

    Renders a source video as a portrait video with the KrillinAI CLI, with short bilingual subtitles or a dubbed audio track, then checks the result.

    13k GitHub stars~527 tokensUpdated today
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  • KrillinAI Subtitle Generator

    krillinai/OpenCreator

    Generates subtitles with the KrillinAI CLI from a YouTube link, Bilibili link or local video, with platform captions, Whisper fallback, translation and bilingual SRT output.

    13k GitHub stars~613 tokensUpdated today
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  • KrillinAI Dubbing

    krillinai/OpenCreator

    Generates target-language dubbing audio from an SRT subtitle file with the KrillinAI CLI, and optionally a dubbed video.

    13k GitHub stars~428 tokensUpdated today
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  • Renders landscape videos with the KrillinAI CLI, either the original footage with bilingual subtitles or a dubbed video with target-language subtitles.

    13k GitHub stars~422 tokensUpdated today
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Questions about KrillinAI Pipeline Planner

What does KrillinAI Pipeline Planner do?

Validates a KrillinAI multi-stage output plan with the pipeline command's dry run, then maps it to the individual stage commands that do the real work. The pipeline command currently supports dry-run planning only, and a real call returns unsupported_command. The agent validates a requested list of outputs, such as subtitle, tts, horizontal or vertical bilingual or dubbed video, and cover, and looks for a terminal JSON response with ok set to true.

When should I use KrillinAI Pipeline Planner?

KrillinAI Pipeline Planner fits situations like: checking a requested set of KrillinAI outputs before running anything; planning subtitle, dubbing and bilingual video renders for one source video; recovering from a failed stage without redoing the earlier ones.

How do I install KrillinAI Pipeline Planner in Claude Code?

Run `npx skills add krillinai/OpenCreator --skill krillinai-pipeline -a claude-code`. Or copy the skill folder (skills/krillinai-pipeline in krillinai/OpenCreator) into .claude/skills/krillinai-pipeline in your project. Claude Code loads it when a task matches its description.

How do I install KrillinAI Pipeline Planner in Codex?

Run `npx skills add krillinai/OpenCreator --skill krillinai-pipeline -a codex`. Or copy the skill folder (skills/krillinai-pipeline in krillinai/OpenCreator) into .agents/skills/krillinai-pipeline in your project. Codex loads it when a task matches its description.

Can I use KrillinAI Pipeline Planner in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add krillinai/OpenCreator --skill krillinai-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/krillinai-pipeline, .gemini/skills/krillinai-pipeline, .github/skills/krillinai-pipeline and .opencode/skills/krillinai-pipeline in your project.

What does KrillinAI Pipeline Planner need to run?

SKILL.md names no scripts, command-line tools or credentials: KrillinAI Pipeline Planner is instructions for the agent only. Our summary lists: The KrillinAI CLI.

Does KrillinAI Pipeline Planner access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is KrillinAI Pipeline Planner safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does KrillinAI Pipeline Planner use?

KrillinAI Pipeline Planner is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does KrillinAI Pipeline Planner use?

About 488 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to KrillinAI Pipeline Planner?

Skills that share tags, products or a category with KrillinAI Pipeline Planner: MoneyPrinterTurbo Video Generator (harry0703/MoneyPrinterTurbo, 130k stars), VideoCaptioner Subtitles (WEIFENG2333/VideoCaptioner, 16k stars), Making Demo Videos (nukeop/nuclear, 19k stars) and JianYing Editor Automation (luoluoluo22/jianying-editor-skill, 3.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains KrillinAI Pipeline Planner?

krillinai (a GitHub user) maintains it in krillinai/OpenCreator, which has 12,682 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 11, 2026.

Source: krillinai/OpenCreator on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.