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Upload-Post/skill-autoshorts

Daily viral-clip pipeline: Whisper + Gemini 3 Flash + Upload-Post. Picks one long video per day, cuts the best moments, asks you on your phone which to publish, and learns from engagement data over time.

Data

History

Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.

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`SKILL.md`

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

e902b2a8d9dc → e902b2a8d9dc

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Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

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View on GitHub Add to my skills

Verified commit e902b2a8d9dcd0ee98e776b5e0455c6c1f30618a

158GitHub stars

2stars in 7 days

1skill in this repository

0commits in 30 days

Heat

2.4

Star growth, last 7 daysNot available
Star growth, last 24 hoursNot available
Rank movement, last 7 daysNot available
Commits, last 30 daysNot available
Accounts asking about it through MCP, last 7 daysNot available
Hot votes this weekNot available

Heat never changes the order by stars, and sponsorship never touches it. How heat works

Stars over time

30-day change not yet available: not enough history.

Individual skills in this repository

autoshorts /

How it works

autoshorts

When your agent uses it

Daily pipeline that picks one long video from a folder, transcribes it with Whisper, uses Gemini 3 Flash multimodal to find every viral short-form moment, cuts each candidate with FFmpeg, adds a hook-text overlay, presents the candidates to the user for approval, and publishes the approved clips to TikTok / Instagram Reels / YouTube Shorts via the Upload-Post API. Use when the user wants to create shorts/reels/clips from longer videos, mentions autoshorts, viral clips, or content repurposing, or asks for the daily clip batch.

What it loads into context

Frontmatter

227 tokens

Always available to the agent

SKILL.md

5,211 tokens

When the skill is activated

Reference documents

4,037 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Setup (only if not yet configured)
Orchestration model
Daily workflow
Weekly learning loop (`learn`)
Operating notes

Scripts executed separately

autoshorts.py

Files

.env.exampleasset261 bytes
.gitignoreasset225 bytes
README.mddoc18,015 bytes
SKILL.mdcore21,547 bytes
SKILL.mdcore21,547 bytes
SKILL.mdcore21,547 bytes
SKILL.mdcore21,547 bytes
SKILL.mdcore21,547 bytes
SKILL.mdcore21,547 bytes
SKILL.mdcore21,547 bytes
SKILL.mdcore21,547 bytes
SKILL.mdcore21,547 bytes
SKILL.mdcore21,547 bytes
SKILL.mdcore21,547 bytes
SKILL.mdcore21,547 bytes
SKILL.mdcore21,547 bytes
SKILL.mdcore21,547 bytes
SKILL.mdcore21,547 bytes
SKILL.mdcore21,547 bytes
SKILL.mdcore21,547 bytes
SKILL.mdcore21,547 bytes
autoshorts.pyruns42,572 bytes
requirements.txtdoc95 bytes

No excerpt is shown for this license. Read the source on GitHub.

View the complete source on GitHub

Skills included

autoshorts

Repository facts

License: No license detected
Created: May 1, 2026
Last pushed: May 2, 2026
Forks: 26
Open issues: 0
Project activity: Slowing

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 6, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 17 notes

SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed

No broad tool permissions
1 dangerous shell commandin 1 file: SKILL.md:197
32 network referencesin 3 files: SKILL.md:7 README.md:5 autoshorts.py:46
No hidden or obfuscated text
No instruction overrides
1 executable scriptin 1 file: autoshorts.py:1
30 references to secretsin 5 files: autoshorts.py:32 SKILL.md:30 README.md:30 and 2 more
No requests to vote in Hot

Show all 64 signals by file

`.env.example`

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`.gitignore`

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`README.md`

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The idea is to keep a small backlog of long videos and forward a new one to your agent every time you record. The agent (Hermes / Openclaw / whatever you're running) saves it into the input folder for you — you don't manage paths yourself,

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> Set up https://github.com/mutonby/skill-autoshorts for me. Read README.md.

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4. Register `SKILL.md` with whichever agent harness is running. For Claude Code, copy or symlink it into `~/.claude/skills/autoshorts/SKILL.md`. For Hermes / Openclaw follow their skill registration docs. 5. Create `.env` from `.env.example

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5. Create `.env` from `.env.example` and ask the user to paste the values you need:    - `GEMINI_API_KEY` — https://aistudio.google.com/apikey (free tier is enough).    - `UPLOAD_POST_API_KEY` and `UPLOAD_POST_PROFILE` — https://app.upload-

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- Default `INPUT_FOLDER` and `OUTPUT_FOLDER` to `~/Documents/skill-autoshorts/input` and `.../output` unless the user says otherwise. Default `WHISPER_MODEL=medium` and `TIMEZONE=Europe/Madrid` (override if the user is in another timezone).

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`SKILL.md`

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author: mutonby   version: "2.0.0"   homepage: "https://github.com/mutonby/skill-autoshorts"

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version: "2.0.0"   homepage: "https://github.com/mutonby/skill-autoshorts" ---

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homepage: "https://github.com/mutonby/skill-autoshorts"

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### 4. Upload-Post account - Sign up at https://upload-post.com → dashboard at https://app.upload-post.com.

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- Sign up at https://upload-post.com → dashboard at https://app.upload-post.com.

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2. **`ffmpeg`** in `PATH` — if missing, ask the user to `brew install ffmpeg` (do not install yourself; system-wide installs deserve confirmation). 3. **`.env` file** — check that every required key is set and non-empty:    - `GEMINI_API_KE

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3. **`.env` file** — check that every required key is set and non-empty:    - `GEMINI_API_KEY` → if missing, ask: *"Falta la API key de Gemini. Pégamela (la generas en https://aistudio.google.com/apikey)."*    - `UPLOAD_POST_API_KEY` and `U

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- `INPUT_FOLDER` and `OUTPUT_FOLDER` → if missing, default to `~/Documents/skill-autoshorts/input` and `~/Documents/skill-autoshorts/output` and write them to `.env`.    - `WHISPER_MODEL` → default `medium`. `TIMEZONE` → default `Europe/Mad

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4. **Upload-Post platform health** — call `GET /api/uploadposts/users` and read `reauth_required` for each platform on the configured profile. If any platform requires reauth, surface it now so the user knows to either reauth (https://app.u

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https://api.upload-post.com/api/uploadposts/users | python -m json.tool

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If any platform shows `"reauth_required": true`, warn the user — that platform's upload will fail. Either drop that platform from `--platforms` or pause and let the user reauthorize in https://app.upload-post.com.

`autoshorts.py`

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#!/usr/bin/env python3
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VIDEO_EXTS = {".mp4", ".mov", ".mkv", ".m4v", ".webm"} GEMINI_MODEL = "gemini-3-flash-preview" UPLOAD_POST_BASE = "https://api.upload-post.com/api"

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UPLOAD_POST_BASE = "https://api.upload-post.com/api"

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with video.open("rb") as fh:         files = {"video": (video.name, fh, "video/mp4")}         res = requests.post(

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files = {"video": (video.name, fh, "video/mp4")}         res = requests.post(             f"{UPLOAD_POST_BASE}/upload",

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```
res = requests.post(
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How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Signal confidence: 61 facts

Network access in prose of documentationREADME.md:5Low confidence
Network access in prose of documentationREADME.md:17Low confidence
Network access in prose of documentationREADME.md:28Low confidence
Network access in prose of documentationREADME.md:29Low confidence
Network access in prose of documentationREADME.md:30Low confidence
Access to secrets in prose of documentation: a variable, placeholder or call, not a stored valueREADME.md:30Low confidence
Network access in prose of documentationREADME.md:31Low confidence
Access to secrets in prose of documentation: a variable, placeholder or call, not a stored valueREADME.md:31Low confidence
Network access in prose of documentationREADME.md:32Low confidence
Network access in prose of documentationREADME.md:33Low confidence
Access to secrets in prose of documentation: a variable, placeholder or call, not a stored valueREADME.md:33Low confidence
Access to secrets in code of documentation: a variable, placeholder or call, not a stored valueREADME.md:232Low confidence
Network access in the frontmatter of the SKILL.mdSKILL.md:7Low confidence
Network access in the frontmatter of the SKILL.mdSKILL.md:8Low confidence
Network access in the frontmatter of the SKILL.mdSKILL.md:9Low confidence
Access to secrets in code of the SKILL.mdSKILL.md:30High confidence
Access to secrets in code of the SKILL.mdSKILL.md:32High confidence
Network access in prose of the SKILL.mdSKILL.md:41Low confidence
Network access in prose of the SKILL.mdSKILL.md:42Low confidence
Network access in prose of the SKILL.mdSKILL.md:44Low confidence
Network access in prose of the SKILL.mdSKILL.md:46Low confidence
Access to secrets in prose of the SKILL.md: a variable, placeholder or call, not a stored valueSKILL.md:46Low confidence
Network access in prose of the SKILL.mdSKILL.md:65Low confidence
Network access in prose of the SKILL.mdSKILL.md:66Low confidence
Network access in prose of the SKILL.mdSKILL.md:67Low confidence
Access to secrets in prose of the SKILL.mdSKILL.md:67Low confidence
Network access in prose of the SKILL.mdSKILL.md:68Low confidence
Access to secrets in prose of the SKILL.md: a variable, placeholder or call, not a stored valueSKILL.md:68Low confidence
Network access in prose of the SKILL.mdSKILL.md:69Low confidence
Network access in prose of the SKILL.mdSKILL.md:71Low confidence
Dangerous shell operation in code of the SKILL.mdSKILL.md:197High confidence
Network access in code of the SKILL.mdSKILL.md:197High confidence
Access to secrets in code of the SKILL.md: a variable, placeholder or call, not a stored valueSKILL.md:197Low confidence
Network access in code of the SKILL.mdSKILL.md:198High confidence
Network access in prose of the SKILL.mdSKILL.md:201Low confidence
Executable script in code of a file that runsautoshorts.py:1High confidence
Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valueautoshorts.py:32Low confidence
Network access in code of a file that runsautoshorts.py:46High confidence
Network access in code of a file that runsautoshorts.py:48High confidence
Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valueautoshorts.py:297Low confidence
Access to secrets in code of a file that runsautoshorts.py:298High confidence
Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valueautoshorts.py:299Low confidence
Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valueautoshorts.py:324Low confidence
Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valueautoshorts.py:543Low confidence
Access to secrets in code of a file that runsautoshorts.py:545High confidence
Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valueautoshorts.py:546Low confidence
Network access in code of a file that runsautoshorts.py:588High confidence
Network access in code of a file that runsautoshorts.py:589High confidence
Network access in code of a file that runsautoshorts.py:590High confidence
Access to secrets in code of a file that runsautoshorts.py:592High confidence

and 11 more

Works with

Agent compatibility, from the files in this repository
Agent	Status	Evidence	Install to
Claude Code	Compatible	Standard SKILL.md SKILL.md	`.claude/skills/<skill-name>/`
Codex	Compatible	Standard SKILL.md SKILL.md	`.agents/skills/<skill-name>/`
Cursor	Compatible	Standard SKILL.md SKILL.md	`.cursor/skills/<skill-name>/`
Gemini CLI	Compatible	Standard SKILL.md SKILL.md	`.gemini/skills/<skill-name>/`
GitHub Copilot	Compatible	Standard SKILL.md SKILL.md	`.github/skills/<skill-name>/`
OpenCode	Compatible	Standard SKILL.md SKILL.md	`.opencode/skills/<skill-name>/`

Native The repository ships a manifest, folder or frontmatter field for this agent.
Compatible A standard SKILL.md that this agent can read.
Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.

Upload-Post/skill-autoshorts

History

SKILL.md

Share this page

Heat

Stars over time

Individual skills in this repository

How it works

autoshorts

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

Skills included

Repository facts

Before you install

.env.example

.gitignore

README.md

SKILL.md

autoshorts.py

How the signals fit together

Works with

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`SKILL.md`

`.env.example`

`.gitignore`

`README.md`

`SKILL.md`

`autoshorts.py`