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podcli

Skill Development Poor
Works inClaude Code
Poor Scanned — metadata only

Reduces manual podcast editing labor and accelerates content distribution to social platforms by automating clip generation, face tracking, and caption proce…

Open-source AI podcast clipper. Generate vertical clips with face tracking and burned-in captions. CLI, MCP server, web app.

79 starsAGPL-3.0 (check with legal)FreeQuick setup
Below standard — Significant caveats apply. Not recommended without careful review of the security and evaluation sections.

Reduces manual podcast editing labor and accelerates content distribution to social platforms by automating clip generation, face tracking, and caption processing—lowering time-to-publish for media teams.

Content operations teams and media companies repurposing long-form podcast episodes into short-form social video assets.

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https://github.com/nmbrthirteen/podcli

By nmbrthirteen

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install nmbrthirteen/podcli

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me generate short vertical video clips from long podcast episodes for social media posting
CostFree

Trust Signals Auto-scanned

Stars79Contributors6Last updated2026-10-17LicenseAGPL-3.0 (check with legal)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-22 · scanner v1

Community Pulse Emerging

Discussed on Hacker News

1 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 77 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
  • License (AGPL-3.0) may restrict commercial use. Check with your legal team.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
1/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score2.30 / 5.00 PoorEvaluatedOct 2026
Scored from trust signals (evidence-eval-v1): 77 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.

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