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Vamos

Vamos v1.0.1

Your AI social strategist

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Description

From the marketplace listing

Vamos is your AI social media strategist. Ask what's working in your niche and Vamos searches Instagram, TikTok and YouTube, watches the videos and reads the comments, and finds what's trending: the formats, hooks and topics behind the videos doing best. It studies your competitors the same way. Then it writes your version, in your brand's voice. Ask Vamos for the formats working in your niche right now, the hooks from this month's best videos, what your competitors post and why it works, why a video worked from its link, or the Meta ads that have run the longest and their hooks. It writes hooks, scripts, captions and content plans from what it finds. Vamos keeps your brand, your voice and the creators you follow between chats, so every answer starts from your workspace. Research takes a few minutes, and ChatGPT checks back until the answer is ready. Vamos reads public posts and the Meta Ad Library; your private analytics, DMs and dashboards stay outside it.

Language: English · Automatically detected from descriptions.

What changed

Vamos

Oct 28, 2026 · 1 saved observations

Metadata · Oct 28, 2026 · 12:57 UTC · Compared with Oct 25, 2026 · 12:04 UTC

WHAT CHANGED

Package or technical metadata updated

Package or technical metadata updated

Observed in package metadata. These changes alone do not establish a new customer-facing feature.

Open full comparison.

Is v2 template

Before

Oct 25, 2026 · 12:04 UTC

Not present

After

Oct 28, 2026 · 12:57 UTC

false

Metadata: full comparison →
Earlier changes · 1 more observation days on this page
Vamos

Oct 25, 2026 · 4 saved observations

Capabilities & instructions

Instruction wording changed from “voice and memory. ” to “voice, memory and saved files. ”. 3 additional added or edited lines are in the evidence.

Skill evidence →
Technical updates

Package contents changed in 2 files: plugin.json, skills/social-research/SKILL.md. Open the file diff to inspect the edits.

Files evidence →
Technical updates

Published version changed from 1.0.0 to 1.0.1. Supporting listing metadata also changed.

Metadata evidence →Listing evidence →

Competitor profile

From the developer’s listing and package; capabilities are not independently tested. Package observed Nov 2, 2026.

Declared capabilities

  • Research trending formats
  • Analyze competitors
  • Write hooks and scripts

Declared limitations

  • Private analytics
  • Posting on the user's behalf
  • Unrelated task

Review scenarios; not an exhaustive list.

Cost & access

Vamos does not sell products or process payments in ChatGPT.

Terms may have changed since this observation.

Starter prompt

Show me five formats working in my niche right now and write my version of the best one, ready to film.

View onboarding →

View package source →

Keywords

Files & skills

File archives

Plugin package7 files · 26 KBBrowse files →
Skill instructions
get-started1.46 KB

View saved version →

---
name: get-started
description: Set up the user's Vamos workspace from their social accounts, website and what they do, so its research and writing fit their brand. Use when the user first connects Vamos, asks to set it up, or a Vamos tool reports the workspace has nothing set up.
---

Vamos fits every answer to the workspace's brand, voice and the creators it follows. A new workspace has none of these, so its answers stay generic until it is set up.

1. In one message, ask the user for:
   - their social accounts: @handle and platform, or profile links (Instagram, TikTok, YouTube, LinkedIn, X, Facebook);
   - their website, if they have one;
   - in their own words, what they do, what they sell and who it is for.

   Setup needs at least one account or the website, because it reads them.
2. Call `set_up_workspace` with `accounts`, `website` and `about` from what the user shared, in their words. Leave out anything they did not give.
3. Call `chat_completion_poll` with the `runId` it returns until `status` is `done`. Setup reads their profiles and site, so it takes a few minutes.
4. From the `result`, tell the user what Vamos set up (brand profile, content pillars, voice, the creators it now follows) and anything it still needs from them.

If the user arrived with a request, start it with the `social-research` skill and ask for these details in the same reply: setup runs in its own chat, alongside their request.

The user's instructions take precedence over this skill.
social-research3.04 KB

View saved version →

---
name: social-research
description: Research and write social media content with Vamos. Use when the user wants to find what is working on TikTok, Instagram or YouTube (trending formats, hooks and topics in a niche, a creator's or competitor's best posts, similar creators), break down a post's hook, comments or video, study Meta ads, or write posts, hooks, scripts, captions and briefs in their brand voice.
---

Vamos reads public posts and profiles by @handle or link (metrics, comments, transcripts, the video itself) and the Meta Ad Library, and it knows the workspace's brand, voice, memory and saved files. It plans its own research, so your part is to pass the request on and bring the answer back. It does not post for the user.

## One message per request

1. **Pick the chat.** For a follow-up on the same brand, campaign, creator or draft, continue its chat from `list_chats`. For unrelated work, call `create_chat` with a short name for it. Both return `brain`, the brand Vamos writes for; when the user has several workspaces, `list_chats` lists them, and work for another one goes in a chat created with `workspace` set to its name.
2. **Send the user's whole request in their own words** with `chat_completion_start`. Vamos researches and writes in the same turn, so "find the creators, then write scripts from them" is one message.
3. **Wait for it** with `chat_completion_poll` until `status` is `done`.
4. **Follow up in the same chat** once the answer has arrived: "now shorter", "do it for Instagram" or the user's pushback is the next message there. A message sent while a run is working starts a second run.

## What goes in the message

The user's words and whatever they named: handles, links, dates, platform, format, and facts about their own account. Their analytics (retention, reach, follower growth, sales) are private, so Vamos has those numbers only when the user shares them; pass them on as given.

Leave out what you would add yourself (a research plan, numbered parts, an output template, handles or numbers you found elsewhere), because it narrows Vamos's research.

- `Break down @vanessalau.co's last 30 days. Which patterns are worth using and which are noise?`
- Follow-up: `Now write scripts for the top two patterns.`
- `How does Portland Leather Goods run TikTok Shop lives? I sell leather handbags and want to copy the model.`

## Reuse before you resend

- **An earlier answer:** `get_messages` returns it at no cost.
- **The same analysis every day or week:** ask Vamos to save it as a routine; each run appears in `list_chats`.
- **Creators to keep watching, or a fact to remember** (a brand fact, a voice rule): ask Vamos in plain words, and it saves them to the workspace.

## The answer

Vamos's `result` is the deliverable. Present it with every link exactly as returned, because the links are the sources the user checks. A short framing line is fine.

After a dropped call or an unclear error, check `get_messages` before sending again: the run may have finished, and a resend runs it again.

The user's instructions take precedence over this skill.

Release notes

Sign-in now lets people with several Vamos workspaces pick one, and asks a new workspace for its accounts so Vamos can set up its Brain before the first request. Chats can work in another workspace, and Vamos shows which brand it writes for. Tool and instruction text tidied.

Declared in the saved package. Remote tools may change independently.

Package details

Publisher declarations from the archived package. These are separate from our research and the live service's terms.

Package author
Vamos
Keywords
See keywords
Getting started skill
./skills/get-started/SKILL.md
Commerce declaration
Does not support commerceThis does not establish whether access is free or paid.
Review scenarios
5 positive · 3 negativeScenario counts, not test results.

Declared capabilities

  • Research trending formats
  • Analyze competitors
  • Write hooks and scripts

Package observed Nov 2, 2026.

Technical details
First seen
Oct 24, 2026 · 12:40 UTC
Last seen
Nov 3, 2026 · 12:00 UTC
Latest observed change
Oct 25, 2026 · 12:04 UTC
Collection status
Collected

plugin_asdk_app_6ac4a91275948191b2c914a6a9a2c471

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