From klingai-pack
Production readiness checklist for Kling AI integrations. Use before going live or during deployment review. Trigger with phrases like 'klingai production ready', 'kling ai go live', 'klingai checklist', 'deploy klingai'.
npx claudepluginhub flight505/skill-forge --plugin klingai-packThis skill is limited to using the following tools:
Checklist covering authentication, error handling, cost controls, monitoring, security, and content policy before deploying Kling AI video generation to production.
Mandates invoking relevant skills via tools before any response in coding sessions. Covers access, priorities, and adaptations for Claude Code, Copilot CLI, Gemini CLI.
Share bugs, ideas, or general feedback.
Checklist covering authentication, error handling, cost controls, monitoring, security, and content policy before deploying Kling AI video generation to production.
.env in repo)Authorization: Bearer <token> format verifiedtask_status: "failed" logs task_status_msgduration sent as string "5" not integer 5standard mode used for non-final renders# Pre-batch credit check
credits_needed = len(prompts) * 10 # 10 credits per 5s standard
if credits_needed > DAILY_BUDGET:
raise RuntimeError(f"Batch needs {credits_needed}, budget is {DAILY_BUDGET}")
callback_url used instead of polling in productionrequests.Session()# Connection pooling
session = requests.Session()
adapter = requests.adapters.HTTPAdapter(pool_connections=5, pool_maxsize=10)
session.mount("https://", adapter)
from kling_client import KlingClient
c = KlingClient()
result = c.text_to_video("test: blue sky with clouds", duration=5, mode="standard")
assert result["videos"][0]["url"], "No video URL"
print("READY FOR PRODUCTION")