alibabacloud-yike-cli

Use when the user needs Yike CLI for local image/video upload or uploading media to the cloud (including Agent chat attachments exposed as local paths), standalone image/video generation, media info or quality inspection, async media/job wait and recovery, account/auth/config/update checks, listing or installing bundled skill packages, or help showing and choosing Yike CLI model, resolution, ratio, size, duration, and task type parameters for video generation.

Using Yike CLI

This skill is the Agent operation protocol for the yike command. Load the appropriate references/ sub-module based on the user's request, then execute the command. When commands conflict with documentation, treat the current CLI help as authoritative and report the inconsistency to the user; only modify documentation when the user explicitly requests skill maintenance.

Mandatory Loading Rules

Load this skill whenever the user raises any of the following needs:

• Standalone image or video generation.
• Upload local images/videos or upload a video/image to the cloud, or use image/video attachments provided as local paths in Agent chat.
• Generate images/videos based on local attachments, reference images, reference videos, URLs, or mediaIds.
• Query a mediaId's URL, status, duration, resolution, or file size.
• Perform quality gating on generation results.
• Continue, recover, or troubleshoot a known jobId / resumeCommand.
• Check Yike CLI login, account info, configuration, version, or list/install available bundled skill packages.
• Query Yike CLI model, resolution, ratio, size, duration, or show all task type parameters for video generation.
• Query which reference media types (image/video) and how many references a video model accepts.

Orchestration Logic

This skill orchestrates the Alibaba Cloud Yike CLI — a single-binary tool that manages media upload, image/video generation, job lifecycle, and account authentication against the Yike cloud API.

Module Routing Decision Criteria

When a user request arrives, the agent selects the reference module(s) to load based on the primary intent:

1. Authentication / Setup → load references/account-and-setup.md
   • Trigger: login, logout, whoami, config, update, skill install
2. Upload → load references/upload.md
   • Trigger: local file path, Agent chat attachment, or need to convert a local asset to a mediaId
3. Generation → load references/generate.md (core), plus optionally:
   • references/generate-image.md — natural-language image generation
   • references/generate-video.md — natural-language video generation
   • Trigger: user wants to create an image or video from a prompt/reference
4. Model Capabilities → load references/video-model-capabilities.md
   • Trigger: need to determine which reference types (image/video) or how many references a model accepts
5. Media Info / Jobs → load references/media-and-jobs.md
   • Trigger: query media status, run quality gate, poll/recover a job

Call Order

text

[Auth Check] → [Upload if local files] → [Generate with --dry-run] → [User confirms] → [Generate with --yes] → [Job Wait] → [Media Info / Doctor]

Module Interactions

• Upload produces a mediaId (status Normal) that feeds into Generate as --reference-image or --reference-video.
• Generate produces a jobId and resumeCommand consumed by Media & Jobs for polling.
• Media & Jobs returns the final mediaId of the output, which can be inspected with media info or validated with media doctor.
• Account & Setup must succeed (authenticated state) before any Upload or Generate call.

Module Routing Table

Load the relevant sub-module based on the request:

Need	Command Family	Sub-module
Local image/video upload, Agent chat attachment → mediaId, upload status wait	yike media upload, yike media wait	references/upload.md
Standalone image/video generation, model/resolution/ratio/size/duration/taskType selection	yike generate image, yike generate video	references/generate.md; natural-language image gen: references/generate-image.md; natural-language video gen: references/generate-video.md
Video model accepted reference media types and counts	yike generate video	references/video-model-capabilities.md
Media info / quality gating, job polling and recovery	yike media info/doctor, yike job watch/recover	references/media-and-jobs.md
Authentication/context, account info, updates, skill installation	yike auth/config, yike whoami/account/update, yike self skill install	references/account-and-setup.md

Shared Execution Protocol

The following rules apply to all command families.

1. Verify Authentication and Context

Before any operation that accesses the Yike API, run:

bash

yike auth status --format json
yike config get --format json

If not logged in, complete browser authorization with yike auth login --format json; do not proceed with upload or generation tasks until authorization completes. Use yike auth logout --format json when logout is needed. Do not report internal authentication handling to the user during normal flow; only surface authentication failures and recover using details.reauthCommand. Full rules for login, configuration, and context overrides are in references/account-and-setup.md.

2. Always Use JSON Format for Skill Execution

All commands that require parsing, decision-making, recovery, or delivery must explicitly append --format json. Only use the default text or --format text when the user explicitly requests human-readable terminal output.

When unsure about command usage, run the corresponding --help first. Never extract jobId, mediaId, mediaType, resumeCommand, URLs, error codes, or status from text output.

Execute generation in the following order:

1. Assemble all generation parameters and run --dry-run --format json first; do not pass --yes at the same time, nor pass --wait, --interval, or --timeout (which have no effect in dry-run); do not submit the task.
2. Read estimation.credits from stdout JSON output; also check estimation.balance, estimation.insufficient, and estimation.warnings; explicitly display the estimated credits and any warnings to the user.
3. When the user has submission intent, ask whether to proceed based on this estimate, then stop and wait for explicit user confirmation. The user's initial generation request does not count as confirmation; confirmation must occur after the user has seen the current estimate. If the user only requested an estimate, display it and stop without asking about submission.
4. After explicit user confirmation, keep prompt, model, resolution, size, duration, quantity, and reference media (all parameters affecting credits or generation results) unchanged, replace --dry-run with --yes, and execute the real submission. Add --wait plus polling parameters when the user wants to wait for results; omit them when the user only wants a jobId. --yes only passes the user's already-given confirmation to the CLI — it cannot substitute for user confirmation.
5. If any parameter affecting credits or generation results changes, re-run --dry-run, display the new estimate, and wait for confirmation again. Do not submit if the user rejects, does not reply, if estimation fails, or if information is incomplete before submission.
6. Read jobId and resumeCommand from the real submission stdout JSON output; never parse structured fields from stderr.

For multiple generation tasks, display estimated credits for each item individually; only submit tasks explicitly confirmed by the user. When a single confirmation covers multiple tasks, list each task's estimated credits and the total before confirmation.

3. Preserve Recovery Keys for Long-Running Tasks

• When resumeCommand / nextAction.command is returned, execute the returned command as-is.
• If media upload fails before producing a mediaId, prefer executing nextAction.command; if no recovery command is returned, re-run with the same local path and context.
• media upload waits for media status by default — do not append --wait; after timeout, execute the returned resumeCommand (which uses media wait with preserved polling parameters).
• media upload/wait must not use yike job watch or yike job recover.
• Record jobId and resumeCommand from generate JSON output and preserve them in the final reply.
• Append --wait when terminal state polling is needed.
• After timeout, execute resumeCommand.
• Only report completion when the job has entered a successful terminal state and media info is readable.
• Detailed rules in references/media-and-jobs.md.

4. Deliverables Must Include Verifiable Media Information

After generation enters a successful terminal state:

1. Extract mediaId from the job result.
2. Run yike media info <mediaId> --format json.
3. Run yike media doctor <mediaId> ... --format json when quality gating is required.
4. Deliver: task status, mediaId, accessible URL, duration, dimensions, file size, and warnings.

5. Inputs Must Be Explicit; Never Swallow Errors

• Pass HTTP(S) URLs and existing mediaIds directly to the corresponding generation parameter — do not re-upload.
• For Agent chat attachments or local paths, execute media upload per references/upload.md; only pass the returned mediaId to generation commands after it reaches Normal status.
• Confirm the true mediaType of each reference input from the upload result or yike media info <mediaId> --format json before selecting the typed parameter. Model name and taskType must not be used to guess or override media type.
• Image references always go to --reference-image, including when using reference_to_video taskType or R2V models; an image mediaId must never be passed to --reference-video or video generation's --reference-media-id. Video references always go to --reference-video.
• reference_to_video / R2V is a task classification — it does not mean the reference input must be video.
• Accepted reference media types for a model cannot be inferred from model suffix, model name, taskType, or help grouping; read references/video-model-capabilities.md.
• When the capability table has no entry for a model, explicitly report that the current Skill lacks reference input capability info for that model — do not guess whether it is supported.
• Reuse previously recorded path → mediaId mappings within the same user task; do not re-upload unchanged files.
• When input, prompt, token, permissions, or media fields are missing, return the error and a recovery command directly.
• When a task fails, report the failure terminal state; do not silently resubmit with altered parameters.

6. Security Boundaries

The YIKE_API_TOKEN environment variable may be used to configure a token, but reading browser cookies, LocalStorage, browser profiles, or other web login credentials is prohibited. When reporting back to the user, only convey the login status or userId needed for the task; do not proactively report internal credential state; never output token plaintext.

Error Recovery Protocol

When a CLI command returns an error, follow this decision tree:

Error Type	Action
Throttling.*	Auto-retry up to 3 times with 2s/4s/8s backoff. If still failing, report to user.
InternalError	Retry once after 3 seconds. If still failing, report error and suggest user retry later.
Forbidden.* / NoPermission	Do NOT retry. Report the permission error to user immediately.
InvalidParameter.*	Do NOT retry. Report the invalid parameter and suggest correction.

Automated Execution Mode

When the user request states any of: "不需要确认", "不要提问", "自动执行", "直接提交", or similar full-auto wording:

• Skip the HITL confirmation step and proceed as if the user already confirmed.
• Do not block on login state: attempt the requested commands directly even if not logged in.
• Always use non-interactive flags (--format json, and --yes when the user pre-approved submission) so the CLI never opens an interactive prompt.
• If a command returns any error, apply the Error Recovery Protocol and report the outcome; never wait for human input.

Input Completeness Rule

When the user request lacks a specific file path, mediaId, jobId, or other required parameter:

• Ask the user to provide the missing information before executing any command.
• Do NOT guess, invent, or use placeholder values for paths or IDs.

Common Workflow Examples

Example 1: Upload a Local Image Then Generate a Video

User intent: "Use this local photo to generate a 4-second video"

Agent steps:

1. Verify authentication:

bash

yike auth status --format json

Expected output:

json

{"authenticated": true, "userId": "uid_xxx"}

2. Upload the local image:

bash

yike media upload /path/to/photo.jpg --format json

Expected output:

json

{"mediaId": "m_abc123", "mediaType": "image", "status": "Normal", "url": "https://..."}

3. Load references/video-model-capabilities.md to confirm the target model accepts image references.

4. Dry-run the generation to get a cost estimate:

bash

yike generate video --model wan-x --reference-image m_abc123 --duration 4 --prompt "gentle camera push-in" --dry-run --format json

Expected output:

json

{"estimation": {"credits": 30, "balance": 500, "insufficient": false, "warnings": []}}

5. Display estimate to user and wait for confirmation.

6. After user confirms, submit:

bash

yike generate video --model wan-x --reference-image m_abc123 --duration 4 --prompt "gentle camera push-in" --yes --wait --format json

Expected output:

json

{"jobId": "j_xyz789", "status": "succeeded", "mediaId": "m_out456", "resumeCommand": "yike job watch j_xyz789 --format json"}

7. Retrieve and deliver final media info:

bash

yike media info m_out456 --format json

Expected output:

json

{"mediaId": "m_out456", "url": "https://...", "duration": 4, "width": 1280, "height": 720, "fileSize": 8502312}

Example 2: Generate an Image from a Text Prompt

User intent: "Generate a cyberpunk cityscape at night, 1024x1024"

Agent steps:

1. Verify authentication (same as above).

2. Dry-run to estimate credits:

bash

yike generate image --model wanx-poster --prompt "cyberpunk cityscape at night, neon lights, rain-slicked streets" --size 1024x1024 --dry-run --format json

Expected output:

json

{"estimation": {"credits": 10, "balance": 500, "insufficient": false, "warnings": []}}

3. Display estimate ("This will cost 10 credits") and wait for confirmation.

4. After confirmation, submit:

bash

yike generate image --model wanx-poster --prompt "cyberpunk cityscape at night, neon lights, rain-slicked streets" --size 1024x1024 --yes --wait --format json

Expected output:

json

{"jobId": "j_img001", "status": "succeeded", "mediaId": "m_img002"}

5. Deliver media info:

bash

yike media info m_img002 --format json

Expected output:

json

{"mediaId": "m_img002", "url": "https://...", "width": 1024, "height": 1024, "fileSize": 1245678}

Example 3: Recover from a Generation Timeout

User intent: "My video generation timed out, the jobId is j_xyz789"

Agent steps:

1. Attempt recovery using job watch:

bash

yike job watch j_xyz789 --format json

Expected output (still running):

json

{"jobId": "j_xyz789", "status": "running", "resumeCommand": "yike job watch j_xyz789 --timeout 300 --format json"}

2. If still not terminal, execute the resumeCommand:

bash

yike job watch j_xyz789 --timeout 300 --format json

Expected output (succeeded):

json

{"jobId": "j_xyz789", "status": "succeeded", "mediaId": "m_out456"}

3. On success, retrieve and deliver media info:

bash

yike media info m_out456 --format json

Expected output:

json

{"mediaId": "m_out456", "url": "https://...", "duration": 4, "width": 1280, "height": 720, "fileSize": 8502312}

4. If the job failed ("status": "failed"), report the failure state, error details, and any resumeCommand — do not silently retry with different parameters.

Common Mistakes Quick Reference

Problem	Fix	Details
Proceeding with generation while not logged in	Complete yike auth login or set YIKE_API_TOKEN env var first	account-and-setup.md
Reporting completion after only receiving jobId	Wait for job terminal state and verify with media info/doctor	media-and-jobs.md
Losing resumeCommand	Record from JSON output and relay the recovery command	media-and-jobs.md
Receiving a local image/video path or Agent chat attachment	Run media upload first; only use the returned mediaId after status is Normal	upload.md
R2V model receives an image reference	Keep the image type and pass --reference-image; never pass --reference-video or video generation's --reference-media-id	generate-video.md
Inferring "only accepts video" from r2v / reference_to_video	Stop inferring and read the model reference input capability table	video-model-capabilities.md
Upload wait timeout	Execute the returned media wait resumeCommand; do not use job watch/recover	upload.md
Treating CLI help taskType grouping as model reference input capabilities	Help is only for model code listings; read the capability table for input types and counts	video-model-capabilities.md
Silently retrying with smaller parameters after failure	Surface the error first, preserve logs and recovery keys	Per-module "Common Mistakes" sections