Agent Exploration

Community

pedronauck

agent-exploration

Coordinate native explorers for explicitly requested multi-area research with scoped written results and an evidence-backed synthesis.

Overview

Publisher	pedronauck
Repository	`skills`
Skill name	`agent-exploration`
Stars	635
Forks	89
Bundled files	4
Links	Skill source Repository

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.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by pedronauck on GitHub. Read the source before you install it.

Installation

Install the Agent Exploration 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/pedronauck/skills/tree/main/skills/mine/agent-exploration
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/pedronauck/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/mine/agent-exploration .claude/skills/agent-exploration

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

Use it in TypingMind

Enable Agent Exploration 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 Agent Exploration 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 Agent Exploration 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.

Agent Exploration

Use when explicitly requested for research across independent areas with written results. Use the current harness's native explorers and configured model/effort; an explicit user override wins. Do not invoke an external runtime or create an agent registry for this workflow.

Scope and dispatch

Resolve the question and output path from the request or active task. Ask only for genuinely missing scope; creating the requested directory needs no additional confirmation. Default an unspecified artifact location to .audits/exploration/<timestamp>/ and state it.
Reuse current grounding. Scout only enough to identify independent questions; no tool-call or source-count quota. Choose as many useful slices as capacity and scope justify, up to 8; --agents is an upper bound, not a target to pad.
Read references/dispatch-rules.md and assets/explorer-prompt.md once when preparing dispatch. Send each explorer its question, source scope, exact output path, and the scoped-write contract once. Include assets/analysis-template.md when a structured artifact is needed; do not duplicate the contract in several embedded documents.
Create the output directory, then dispatch independent slices as capacity permits. Prompts need durable copies only for a long/resumable run. Every worker is read-only except for its named analysis file; no commits or unrelated edits.
Inspect each completed artifact and its material citations. A failed slice does not invalidate successful siblings. Continue or correct the affected worker; do not launch a fresh whole round for a missing heading or confirmation sentence.
Write analysis/summary.md with the answer, evidence links, disagreements, remaining gaps, and actionable conclusions. Distinguish completed and unavailable slices; never claim an unperformed investigation succeeded.

Use analysis/NN_analysis_<slug>.md for each slice. Preserve externally required schemas; otherwise keep sections as short as their evidence permits. references/checklist.md is an inspection aid, not an extra approval stage. Routine single-file lookups need no delegation or research artifact.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Agent Exploration AI skill do?

Coordinate native explorers for explicitly requested multi-area research with scoped written results and an evidence-backed synthesis.

Why use Agent Exploration on TypingMind?

Because you install it once and use it with any model. Agent Exploration 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 Agent Exploration in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pedronauck/skills/tree/main/skills/mine/agent-exploration. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Agent Exploration?

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 Agent Exploration?

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

Is the Agent Exploration AI skill free?

It is published on GitHub by pedronauck. 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.

View all

Wayfinder

mattpocock

CommunityPopular

Plan a huge chunk of work (more than one agent session can hold) as a shared map of decision tickets on your issue tracker, and resolve them one at a time until the way to the destination is clear.

Creative Ideation

Generate ideas via named methods from creative practice.

Inference Sh Cli

Run 150+ AI apps (image, video, LLM) via inference.sh CLI.

Firecrawl Build Search

firecrawl

OrganizationPopular

Integrate Firecrawl `/search` into product code and agent workflows. Use when an app needs discovery before extraction, when the feature starts with a query instead of a URL, or when the system should…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Agent Exploration

Scope and dispatch

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now