Agent skill

Explore

by strands-agents in strands-agents/box

Launch a deep, multi-faceted investigation of a topic using parallel sub-agents.

Apache-2.0Auto-check passedAgent Workflows

Install Explore

skills CLI
$ npx skills add strands-agents/box --skill explore -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install strands-agents/box explore --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/strands-agents/box.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/explore .claude/skills/explore && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
explore
GitHub stars
110
Token cost
~1.8k tokens
SKILL.md length
420 words
Files
1
Skills in repo
10
Repo updated
First seen
Licence
Apache-2.0

At a glance

Launch a deep, multi-faceted investigation of a topic using parallel sub-agents.

  • Works in 4 steps: Scope the exploration → Launch parallel sub-agents → Synthesize findings → …
  • Tasks that involve Subagents
  • SKILL.md covers Skill Invocation, Output Structure, Workflow and Architecture / Flow, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Explore is an agent skill from strands-agents/box. Launch a deep, multi-faceted investigation of a topic using parallel sub-agents. Each agent tackles a different angle simultaneously, and findings are synthesized into structured exploration documents.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Subagents. The repository describes itself as: Run AI agents in a sandbox that restricts what they can execute, read, write, and reach on the network. Box combines OS isolation with default-deny Dogwood policies and… The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Subagents

Example prompts

  • “/explore”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Scope the exploration
  2. Launch parallel sub-agents
  3. Synthesize findings
  4. Write exploration documents

What it can do on your machine

Read from SKILL.md and the folder at commit 2c874ea. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown and mermaid).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Explore loads about 1.8k tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 420 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from strands-agents/box at commit 2c874ea, republished under its Apache-2.0 licence (© strands-agents). 420 words, ~1,848 tokens.

Download SKILL.mdSave it as .claude/skills/explore/SKILL.md (or your agent's skills folder).
name
explore
description
Launch a deep, multi-faceted investigation of a topic using parallel sub-agents. Each agent tackles a different angle simultaneously, and findings are synthesized into structured exploration documents.

Explore Skill

Launch a deep, multi-faceted investigation of a topic using parallel sub-agents. Each agent tackles a different angle simultaneously, and findings are synthesized into structured exploration documents.

Skill Invocation

/explore <topic> or /explore <topic> --scope <narrow|wide>

Examples:

  • /explore authentication patterns in this codebase
  • /explore how the routing system works end-to-end
  • /explore AWS SDK usage and error handling --scope wide
  • /explore state management across components

Output: .agents/explorations/YYYY-MM-DD/<topic-slug>/<context>.exp.md

A prototype that an exploration needs goes to .agents/pocs/<topic-slug>/, one directory per POC. Git ignores both trees, and the Cargo workspace excludes .agents/pocs/.

Output Structure

.agents/explorations/
  YYYY-MM-DD/
    auth-patterns/                  # One exploration
      overview.exp.md               # Synthesis of all findings
      token-validation.exp.md       # Facet deep dive
      session-management.exp.md     # Facet deep dive
      ...
    state-management/               # Another exploration same day
      overview.exp.md
      redux-usage.exp.md
      ...

Each exploration gets its own topic subfolder under the date. This allows multiple explorations per day without collision. The overview.exp.md inside each topic folder ties that exploration's facets together.

Workflow

1. Scope the exploration

Before launching agents, understand what we're exploring:

  1. Read the topic and identify 3-6 distinct facets worth investigating independently
  2. Present the facets to the user for confirmation:
    • "I'll explore {topic} across these angles:"
    • List each facet with a one-liner on what the agent will investigate
    • Ask: "Want to adjust any of these, or should I launch?"

Facet selection guidelines:

  • Each facet should be independently researchable (no dependencies between agents)
  • Cover breadth: code patterns, architecture, data flow, error handling, tests, external dependencies
  • Cover depth: don't just list files — trace execution paths, understand why decisions were made
  • Include at least one "connections" facet that maps how the topic interacts with the rest of the system
Show full SKILL.md (180 more words)Show less
2. Launch parallel sub-agents

Dispatch one agent per facet using the Agent tool, all in a single message for maximum parallelism.

Each agent prompt must include:

  • What to investigate: The specific facet and what questions to answer
  • How deep to go: Trace call chains, read implementations, check tests, examine error paths
  • What to report: Structured findings with file paths, line numbers, code snippets, and diagrams
  • Output format: Markdown with headers, code blocks, and mermaid diagrams where helpful

Agent prompt template:

You are exploring: {topic} — specifically the "{facet}" angle.

## Investigation goals
{2-3 specific questions this agent should answer}

## How to investigate
- Read source files, trace execution paths, check test coverage
- Look at imports/exports to understand dependency graphs
- Check for patterns, anti-patterns, inconsistencies
- Note anything surprising or potentially problematic

## Report format
Return a structured markdown report with:
1. **Summary** (2-3 sentences)
2. **Findings** (detailed, with file:line references and code snippets)
3. **Diagram** (mermaid diagram showing relationships/flow)
4. **Observations** (patterns, risks, opportunities, surprises)

Be thorough. Include file paths and line numbers for every claim.
Do NOT write any files — just return your findings as text.
3. Synthesize findings

Once all agents complete:

  1. Read all agent results carefully
  2. Identify cross-cutting themes — patterns that appear across multiple facets
  3. Flag contradictions — where one agent's findings conflict with another's
  4. Rank findings by impact — what matters most for the user's goals
4. Write exploration documents

Derive a topic slug from the exploration topic (kebab-case, 2-4 words, e.g. auth-patterns, routing-system, sdk-error-handling). Create the output folder:

.agents/explorations/YYYY-MM-DD/<topic-slug>/

overview.exp.md (write this LAST, after all facet docs):

markdown
# {Topic} — Exploration Overview

> Explored on YYYY-MM-DD

## TL;DR

{3-5 bullet points with the most important findings}

## Facets Explored

| Facet | Key Finding | Doc |
|-------|-------------|-----|
| {facet-1} | {one-liner} | [{facet-1}.exp.md](./{facet-1}.exp.md) |
| {facet-2} | {one-liner} | [{facet-2}.exp.md](./{facet-2}.exp.md) |
| ... | ... | ... |

## Cross-Cutting Themes

{Patterns and insights that emerged across multiple facets}

## Risks & Opportunities

{Things that look fragile, inconsistent, or ripe for improvement}

## Open Questions

{Questions that came up but weren't fully answered — threads to pull later}

Each facet doc (<facet-name>.exp.md):

markdown
# {Topic} — {Facet Name}

> Part of [{Topic} exploration](./overview.exp.md) | YYYY-MM-DD

## Summary

{2-3 sentence overview of this facet}

## Findings

### {Finding 1}

{Detailed explanation with code references}

```language
// file/path:line — relevant code snippet
{Finding 2}

{...}

Architecture / Flow

mermaid
{diagram showing relationships, data flow, or structure}

Observations

  • Pattern: {something consistent found}
  • Risk: {something fragile or concerning}
  • Opportunity: {something that could be improved}

### 5. Present results

After writing all files, give the user a concise summary:
- Link to `overview.exp.md`
- Top 3 most important/surprising findings
- Any open questions or recommended next steps

## Guidelines

**Go deep, not wide.** Each agent should trace code paths to their endpoints, not just grep for keywords. Read implementations, understand control flow, check edge cases.

**Every claim needs evidence.** File paths, line numbers, code snippets. No hand-waving.

**Mermaid diagrams are mandatory** for each facet doc. They should illuminate structure or flow that's hard to see from code alone.

**Quote every edge label and compile every block.** Write `A -.->|"read(2)"| B`: unquoted labels fail
the lexer when they contain `(` or `|`, and quoting always parses. Compile with
`mmdc -i block.mmd -o /tmp/block.svg`, after
`export PUPPETEER_EXECUTABLE_PATH="/Applications/Google Chrome.app/Contents/MacOS/Google Chrome"` —
`mmdc` drives a headless browser and finds none by default, so without that variable it reports a
launch failure that reads like "mermaid is unavailable". A grep check cannot see a lexer error.

**Name files descriptively.** Use kebab-case names that describe the facet: `error-handling.exp.md`, `data-flow.exp.md`, `test-coverage.exp.md`, not `part-1.exp.md`.

**Date folders use today's date** in `YYYY-MM-DD` format. Each exploration gets its own topic subfolder, so multiple explorations on the same day never collide.

**Agent count:** Aim for 3-6 parallel agents. Fewer than 3 isn't deep enough. More than 6 risks shallow coverage per agent.

© strands-agents, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/explore of strands-agents/box.

Open the folder on GitHubat commit 2c874ea

Compare with similar skills

Explore next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Explore compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Explore this skillstrands-agents/box110—~1.8kAutomated safety check: PassApache-2.0
Claude Code Agent Developmentanthropics/claude-plugins-official38k8 repos~2.8kAutomated safety check: PassApache-2.0
Subagent Driven DevelopmentAsvarox/allkaraoke26138 repos~1.2kAutomated safety check: PassNone
Dispatching Parallel Agentsultralisp/ultralisp25841 repos~1.5kAutomated safety check: PassNone
Paseo Advisor Second Opiniongetpaseo/paseo20k1 repos~756Automated safety check: PassCustom licence
Task Observerrebelytics/one-skill-to-rule-them-all3.2k1 repos~12kAutomated safety check: PassCC-BY-4.0

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Categories

Questions about Explore

What does Explore do?

Launch a deep, multi-faceted investigation of a topic using parallel sub-agents. Explore is an agent skill from strands-agents/box. Launch a deep, multi-faceted investigation of a topic using parallel sub-agents.

When should I use Explore?

Explore fits situations like: tasks that involve Subagents.

How do I install Explore in Claude Code?

Run `npx skills add strands-agents/box --skill explore -a claude-code`. Or copy the skill folder (.agents/skills/explore in strands-agents/box) into .claude/skills/explore in your project. Claude Code loads it when a task matches its description.

How do I install Explore in Codex?

Run `npx skills add strands-agents/box --skill explore -a codex`. Or copy the skill folder (.agents/skills/explore in strands-agents/box) into .agents/skills/explore in your project. Codex loads it when a task matches its description.

Can I use Explore in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add strands-agents/box --skill explore -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/explore, .gemini/skills/explore, .github/skills/explore and .opencode/skills/explore in your project.

What does Explore need to run?

SKILL.md names no scripts, command-line tools or credentials: Explore is instructions for the agent only.

Does Explore access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Explore safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Explore use?

Explore is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Explore use?

About 1.8k tokens (SKILL.md is roughly 7.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Explore?

Skills that share tags, products or a category with Explore: Claude Code Agent Development (anthropics/claude-plugins-official, 38k stars), Subagent Driven Development (Asvarox/allkaraoke, 261 stars), Dispatching Parallel Agents (ultralisp/ultralisp, 258 stars) and Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Explore?

strands-agents (a GitHub organization) maintains it in strands-agents/box, which has 110 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 8, 2026.

Source: strands-agents/box on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.