teleskopiq（teleskopiq 搜索）

Teleskopiq Skill

YouTube content creation platform — AI-generated scripts, metadata, and thumbnails via GraphQL API.

Setup

Set environment variables:

export TELESKOPIQ_API_KEY="tsk_..."
export TELESKOPIQ_ENDPOINT="https://teleskopiq.com/api/graphql"  # optional, this is the default

Script Content Format

Script content is Markdown with special production tags. Use all of these when writing scripts.

Structure

## Section Title
### Sub-section

Your spoken narration goes here. Write as you'd actually say it aloud.

Production Tags

These are rendered with distinct colors in the Teleskopiq editor and exported to PDF. Always use them to mark non-spoken directions:

Full Example

## Hook

What happens when you give an AI agent full control of your computer?

[B-ROLL: terminal window running automated scripts, fast-forward timelapse]

I tried it for 24 hours. Here's what I learned.

## The Setup

[GRAPHIC: "OpenClaw — AI Agent Framework"]

OpenClaw gives your AI access to your machine — calendar, email, terminal, browser.

[VISUAL: screen recording of OpenClaw dashboard]

Today I set it completely loose.

## What It Did Well

[MUSIC: upbeat lo-fi background]

- Scheduled my week automatically
- Organized 3 months of project files

[B-ROLL: clean desktop, organized folders]

## Where It Got Weird

[SFX: error chime]

It tried to commit code without asking.

[VISUAL: shocked face, zoom in]

## Call to Action

Would you let an AI run your computer for a day? Drop your answer in the comments.

[GRAPHIC: Subscribe button animation]

CLI Script

Located at scripts/teleskopiq.py relative to this skill directory.

SKILL_DIR="$HOME/.openclaw/workspace/skills/teleskopiq"
python3 "$SKILL_DIR/scripts/teleskopiq.py" <command> [options]

Before Writing a Script

Always fetch the channel style profile first with get-style and include it in the agent brief. This ensures the writing matches the channel's tone, vocabulary, pacing, and structure.

python3 "$SKILL_DIR/scripts/teleskopiq.py" get-style

Include the output in your writing context before using ai-write or writing content manually.

Commands

AI Writing

ai-write command

Creates a new script and uses Teleskopiq's AI to write it via WebSocket subscription:

python3 "$SKILL_DIR/scripts/teleskopiq.py" ai-write --title "My Video Title"
python3 "$SKILL_DIR/scripts/teleskopiq.py" ai-write --title "My Video Title" --prompt "Write a tutorial about..."

--ai-write flag on full-flow

Instead of providing --content, use --ai-write to have the AI generate the script, then continue with metadata, thumbnails, and scheduling:

python3 "$SKILL_DIR/scripts/teleskopiq.py" full-flow --title "My Video Title" --ai-write
python3 "$SKILL_DIR/scripts/teleskopiq.py" full-flow --title "My Video Title" --ai-write --prompt "Focus on beginner tips"

--prompt option

Custom instruction for the AI writer. If omitted, a default prompt is used that requests proper section headers and production tags.

Direct GraphQL Usage

All queries go to $TELESKOPIQ_ENDPOINT with header Authorization: Bearer $TELESKOPIQ_API_KEY.

List scripts

{ scripts { id title status { name } scheduledFor } }

Create script

mutation CreateScript($input: CreateScriptInput!) {
  createScript(input: $input) { id title status { name } }
}
# variables: { "input": { "title": "...", "content": "..." } }

Read script (full detail)

{ script(id: "...") {
    title status { name } scheduledFor
    metadata { titles description tags }
    thumbnailIdeas { text visual }
    thumbnails { url }
  }
}

Generate metadata (async)

mutation { startMetadataJob(scriptId: "...", scriptContent: "...") { success } }

⚠️ Async — poll script(id) query every 5s for ~30s until metadata is populated. generateScriptMetadata is deprecated — always use startMetadataJob.

Generate thumbnails (async, one per idea)

mutation { startThumbnailJob(scriptId: "...", idea: "...", ideaIndex: 0) { success } }

Run once per thumbnail idea (typically 3). Poll script(id) for thumbnails array.

Auto-schedule (server-side, uses channel's preferred publishing day)

# Normal: finds next empty preferred slot
mutation { autoScheduleScript(scriptId: "...") { scriptId scheduledFor slotsChecked bumped } }

# Urgent: takes the very next preferred slot, bumps displaced scripts forward
mutation { autoScheduleScript(scriptId: "...", urgent: true) { scriptId scheduledFor slotsChecked bumped } }

• Default (urgent omitted or false): finds the next preferred publishing day with no script already scheduled. bumped is always 0.
• urgent: true: takes the very next preferred day (even if occupied). Any script on that day gets cascaded to the next preferred day, and so on. bumped returns the count of displaced scripts.
• Always prefer this over computing dates yourself.

Update / schedule script manually

mutation { updateScript(input: { id: "...", scheduledFor: "2025-03-09T12:00:00-05:00", status: ReadyToShoot }) { success } }

Status enum: Draft | InProgress | ReadyToShoot | Recorded | Editing | Ready | Published | OnIce

Async Job Polling Pattern

1. Fire the mutation (startMetadataJob / startThumbnailJob)
2. Wait 5 seconds
3. Query script(id) and check if metadata / thumbnails is populated
4. Repeat up to 6 times (30s total)
5. If still empty, report timeout

Tips

• Always use production tags ([B-ROLL: ...], [GRAPHIC: ...], etc.) when writing scripts — they render visually in the editor
• Use autoScheduleScript for scheduling — don't compute dates manually
• Content is plain Markdown; ## = section, ### = sub-section
• generateScriptMetadata mutation is deprecated — use startMetadataJob