krillinai-cli
krillinai/OpenCreator/skills/krillinai-cli/SKILL.md
Use when an agent needs to build or operate the embedded KrillinAI CLI, choose a supported command, or interpret its JSON, manifest, subtitle, dubbing, render, cover, speech, and voice outputs.
Skill12k starsChanged 3 days ago
--- name: krillinai-cli description: Use when an agent needs to build or operate the embedded KrillinAI CLI, choose a supported command, or interpret its JSON, manifest, subtitle, dubbing, render, cover, speech, and voice outputs. --- # KrillinAI CLI Use this as the top-level routing skill for KrillinAI command-line work. ## Build And Locate The Binary Build both KrillinAI binaries through the repository script: ```bash pnpm krillinai:build ``` For the current machine, locate the CLI without assuming a platform or architecture: ```bash TARGET="$(node -p "process.platform + '-' + process.arch")" SUFFIX="$(node -p "process.platform === 'win32' ? '.exe' : ''")" KRILLINAI_CLI="$PWD/.runtime/build/krillinai/$TARGET/bin/krillinai-cli$SUFFIX" test -f "$KRILLINAI_CLI" ``` The CLI loads `config/config.toml` relative to its process working directory. For real runs from a source checkout, use `runtime/krillinai` as the process working directory and create its ignored `config/config.toml` from `config/config-example.toml` without overwriting an existing file. A release archive should be run from its unpacked package root. For build layout, configuration, JSON, manifest, output, and error details, read: ```text skills/krillinai-cli/references/cli-contract.md ``` ## Choose The Command | User intent | Command / skill | |---|---| | Generate source, target, bilingual, and short vertical subtitles | `subtitle`; use `krillinai-subtitle` | | Generate target-language dubbing from subtitles | `tts`; use `krillinai-tts` | | Create landscape videos | `render-horizontal`; use `krillinai-render-horizontal` | | Create portrait/short-form videos | `render-vertical`; use `krillinai-render-vertical` | | Generate a cover from a complete image prompt | `cover`; use `krillinai-cover` | | Generate speech from plain text | `speech` | | List provider voice codes for Aliyun, OpenAI, or MiniMax | `voices` | | Validate a requested multi-stage output plan | `pipeline --dry-run`; use `krillinai-pipeline` | `pipeline` only validates plans in dry-run mode; non-dry-run execution returns `unsupported_command`. `status` is reserved and unsupported. ## Operating Rules For Agents - Use a dedicated `--workdir`; do not scatter outputs in the repo root. - Use `--dry-run` for command-shape validation before external calls. - Parse stdout as JSON lines. The terminal response is the object containing `ok`; OpenCreator mode may emit progress frames first. - Treat `krillinai_manifest.json` and actual output files as the source of truth after a real stage. - Reuse manifest outputs for later stages instead of guessing filenames. - If a command fails, classify by `error.kind`: `usage`, `retryable`, `dependency`, or `internal`. - Avoid rerunning expensive stages if the manifest already has valid upstream outputs. - Do not claim that `cover` consumed a reference image: the current CLI accepts a complete text prompt and size only. - Do not request an Edge TTS voice catalog: `voices` currently supports `aliyun`, `openai`, and `minimax`. ## Minimal Workflow ```bash REPO_ROOT="$PWD" WORKDIR="$REPO_ROOT/tasks/demo" mkdir -p "$WORKDIR" (cd "$REPO_ROOT/runtime/krillinai" && "$KRILLINAI_CLI" subtitle \ "https://www.youtube.com/watch?v=VIDEO_ID" \ --origin-lang en \ --target-lang zh_cn \ --workdir "$WORKDIR" \ --caption-source any \ --prepare-video) (cd "$REPO_ROOT/runtime/krillinai" && "$KRILLINAI_CLI" render-vertical \ --workdir "$WORKDIR") ```
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