Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/tools-only/X-Skills --skill yt-pipeline명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
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Index of Build Systems Skills
Coordination patterns for distributed dataflow systems including barriers, epochs, and distributed snapshots
Windowing, sessionization, time-series aggregation, and late data handling for streaming systems
SOC 직업 분류 기준
SKILL.md 표시 중
| name | yt-pipeline |
| description | Run the full YouTube content production pipeline |
| argument-hint | ["topic-or-channel-urls"] |
| allowed-tools | Read, Write, Edit, Bash, Grep, Glob, Task, WebSearch, AskUserQuestion |
| model | sonnet |
Run the complete YouTube content production pipeline. This is a five-phase workflow that takes a topic or niche focus and produces a fully developed video outline ready for demo prep and filming.
You are the orchestrator. Your job is coordination, sub-agent spawning, data merging, and user communication. Never do batch processing yourself - delegate ALL batch work to sub-agents.
Before doing anything, collect inputs from the user using AskUserQuestion:
Niche/Tool Focus: What tool, feature, or topic area are we researching? (e.g., "AI writing tools for professionals", "new software features", "productivity automation")
Competitor Channels (optional): Any specific YouTube channels to analyze?
Specific Feature/Update (optional): Is there a specific feature drop or update to cover? If so, this is likely an Update Video with fast turnaround.
Do NOT proceed until the focus is confirmed.
Use web research and optional sub-agents for parallel execution:
yt-scraper agent for YouTube channel data collection (if Apify MCP available)channel-analyzer agents in batches of 3 channels each for competitive analysisAfter all research completes, merge results into:
niche-analysis.json - structured dataniche-report.md - human-readable summaryReport to user:
Research complete.
- Channels analyzed: [N]
- Videos scraped: [N]
- Content gaps identified: [N]
- Outlier videos found: [N]
Present the niche report and ask: "Here's what I found. Ready to move to ideation, or want to research more channels?"
This is a mandatory human checkpoint. Do NOT proceed without approval.
Using research findings, generate 15-20 video ideas. Each idea must include:
Prioritize Tier 1 ideas. Include a mix of content types.
Spawn idea-validator sub-agents in a single message. Each validates a batch of 5 ideas.
Merge validation results and present a ranked list:
Here are the validated ideas, ranked by opportunity score:
[Table: Rank | Title | Tier | Type | Search Demand | Competition | Score]
Which ideas do you want to develop into briefs?
This is a mandatory human checkpoint.
For each idea the user selects:
skills/yt-brief/SKILL.mdvideo-brief-{slug}.md"Here's the brief for '{idea title}'. Review and approve?"
This is a mandatory human checkpoint.
For each approved brief:
skills/yt-packaging/SKILL.mdpackaging-{slug}.md"Here are the title and thumbnail options. Pick your favorites."
This is a mandatory human checkpoint.
For each packaged video:
skills/yt-outline/SKILL.mdvideo-outline-{slug}.md + demo-prep-checklist-{slug}.md"Here's the outline and demo prep checklist. Ready for the team to prep and film."
Pipeline Complete.
- Ideas generated: [N]
- Ideas validated: [N]
- Briefs created: [N]
- Videos fully packaged and outlined: [N]
- Output files: [list]
| Agent | subagent_type |
|---|---|
| YouTube Scraper | youtube-strategy:yt-scraper |
| Channel Analyzer | youtube-strategy:channel-analyzer |
| Idea Validator | youtube-strategy:idea-validator |
ALL sub-agents in a phase MUST be spawned in ONE message using the Task tool. This is the only way to trigger parallel execution.