Paseo Advisor

OrganizationPopular

getpaseo

paseo-advisor

Spin up a single agent as an advisor — second opinion on the current task. Use when the user says "advisor", "second opinion", "what does X think", or wants an outside take without delegating the work itself.

Overview

Publisher	getpaseo
Repository	`paseo`
Skill name	`paseo-advisor`
Stars	19.1K
Forks	2.2K
Bundled files	Instructions only
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by getpaseo on GitHub. Read the source before you install it.

Installation

Install the Paseo Advisor AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/getpaseo/paseo/tree/main/skills/paseo-advisor
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/getpaseo/paseo.git /tmp/paseo
mkdir -p .claude/skills
cp -r /tmp/paseo/skills/paseo-advisor .claude/skills/paseo-advisor

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Paseo Advisor in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Paseo Advisor on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Paseo Advisor is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Paseo Advisor

Single agent. Reads the situation you're in. Gives a judgment. You decide what to do — the advisor doesn't drive the work.

User's request: $ARGUMENTS

Prerequisites

Read the paseo skill. Call list_profiles before choosing the advisor. Do not create the advisor until you have read the configured profiles and their notes.

Picking the advisor

User named a profile (--profile UI Work) → select it by name.
Otherwise choose the profile whose notes best fit the question. Match the actual work: design and approach, audit and review, or research and root-cause analysis.
Contrast helps. When several profiles fit, prefer a different provider family from your own so the second opinion is genuinely fresh.

Materialize the selected profile into create_agent as described by the paseo skill. If no profile fits, use Paseo's provider discovery fallback.

The briefing

The advisor has zero context. Make it self-contained:

The question, sharply.
What you've considered and what you've ruled out.
Relevant files by path (don't paste — let the agent read).
Explicit ask: "give me a recommendation, with reasoning."

End with the no-edits suffix:


This is analysis only. Do NOT edit, create, or delete any files. Do NOT write code.

Forwarded skills

If $ARGUMENTS contains another skill reference — /unslop, /unslop-risk, $unslop, etc. — the user is asking the advisor to run that skill against the current task. Examples:

/paseo-advisor /unslop → advisor runs /unslop on the current diff.
/paseo-advisor /unslop-risk → advisor does an unslop-risk review.
/paseo-advisor $diagnose this build failure → advisor invokes /diagnose.

Parse the forwarded skill name out of $ARGUMENTS (/<name> or $<name>). In the briefing, tell the advisor explicitly:


Invoke the `<name>` skill against this task. Load it via the Skill tool before doing anything else.

Pass through any remaining arguments after the skill name as the skill's own input. The advisor — not you — runs the skill; you're still just the orchestrator handing it the work.

Launch and synthesize

Create the advisor agent via Paseo with a [Advisor] <topic> title and the briefing as the initial prompt. Wait for it to finish. Read its response. Synthesize for the user — the advisor's verdict + your recommendation.

Persistent advisor

If the user wants ongoing input ("keep this advisor for the next few decisions"), don't archive after the first reply. Send follow-ups when you need another take. Archive when the user says they're done, or when the topic shifts and a fresh context would serve better.

Frequently asked questions

What does the Paseo Advisor AI skill do?

Why use Paseo Advisor on TypingMind?

Because you install it once and use it with any model. Paseo Advisor is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Paseo Advisor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/getpaseo/paseo/tree/main/skills/paseo-advisor. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Paseo Advisor?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Paseo Advisor?

As many as you like. As long as a model supports skills, you can use Paseo Advisor with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Paseo Advisor AI skill free?

It is published on GitHub by getpaseo. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Paseo Advisor

Prerequisites

Picking the advisor

The briefing

Forwarded skills

Launch and synthesize

Persistent advisor

Frequently asked questions

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