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Boosta Long to Shorts

Create, monitor, and troubleshoot Boosta API video-processing jobs from natural-language requests. Use this skill when a user asks to generate clips from a v...

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Create, monitor, and troubleshoot Boosta API video-processing jobs from natural-language requests. Use this skill when a user asks to generate clips from a v...

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
README.md, SKILL.md, agents/openai.yaml, references/api-reference.md, references/errors.md, references/video-types.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 6 sections Open source page

Overview

Use this skill to execute end-to-end Boosta API workflows: submit job, poll until completion, return clip URLs, and handle common API failures. Prefer the bundled script for deterministic execution and consistent error handling.

Quick Start Workflow

Validate required inputs: video_url (required) video_type (required, see references/video-types.md) config_name (optional) Validate credentials: Require BOOSTA_API_KEY in environment. Never print or store raw API keys in output. Submit job: Endpoint: POST /api/v1/jobs Base URL: https://boosta.pro/api/v1 Body: video_url, video_type, optional config_name Poll status: Endpoint: GET /api/v1/jobs/:job_id Stop when status=completed or status=failed. If completed, return clip_urls. Handle API errors: 401: invalid or missing key 400: invalid payload (missing video_url, invalid video_type) 403: no credits 429: rate limited (respect retry_after) active_job_exists: reuse returned job_id and continue polling

Commands

Use the bundled script: python3 scripts/boosta_job.py --help Submit and wait for completion: export BOOSTA_API_KEY="sk_live_..." python3 scripts/boosta_job.py submit \ --video-url "https://youtube.com/watch?v=xxx" \ --video-type "conversation" \ --config-name "My Config" \ --wait Check status: python3 scripts/boosta_job.py status --job-id "job_1234567890_abc123" List completed jobs: python3 scripts/boosta_job.py list Check usage: python3 scripts/boosta_job.py usage

Output Contract

When user asks to create clips, return: job_id final status clips_count if present clip_urls when completed clear next step if processing/failed When user asks only to check status, return: job_id current status progress/step if present

Decision Rules

If user does not provide video_type, infer it with references/video-types.md and state inference explicitly. If API returns active_job_exists, continue with provided job_id instead of creating another job. On 429, wait retry_after seconds (fallback to 60 if missing) and retry. Keep polling interval between 10 and 20 seconds to avoid spam. Avoid parallel job submission per key because API allows one active job at a time.

References

API overview and endpoint contracts: references/api-reference.md Video type selection: references/video-types.md Error handling playbook: references/errors.md

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
5 Docs1 Config
  • SKILL.md Primary doc
  • README.md Docs
  • references/api-reference.md Docs
  • references/errors.md Docs
  • references/video-types.md Docs
  • agents/openai.yaml Config