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5 changes: 3 additions & 2 deletions README.md
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Expand Up @@ -32,7 +32,7 @@ Browse available plugins in [`plugins/`](plugins/).
## Extensions Catalog

<!-- BEGIN AUTO-GENERATED CATALOG -->
This repository contains **2 marketplace(s)** with **45 extensions** (36 skills, 9 plugins).
This repository contains **2 marketplace(s)** with **46 extensions** (37 skills, 9 plugins).

### Quick Start

Expand Down Expand Up @@ -89,11 +89,12 @@ OpenHands skills for interacting, improving, and refactoring large codebases

Official skills and plugins for OpenHands — the open-source AI software engineer.

**41 extensions** (34 skills, 7 plugins)
**42 extensions** (35 skills, 7 plugins)

| Name | Type | Description | Commands |
|------|------|-------------|----------|
| add-skill | skill | Add (import) an OpenHands skill from a GitHub repository into the current workspace. | — |
| agent-creator | skill | Create file-based sub-agents as Markdown files — no Python code required. Guides the user through a structured interv... | `/agent-creator` |
| agent-memory | skill | Persist and retrieve repository-specific knowledge using AGENTS.md files. Use when you want to save important informa... | `/remember` |
| agent-sdk-builder | skill | Guided workflow for building custom AI agents using the OpenHands Software Agent SDK. Use when you want to create a n... | `/agent-builder` |
| automation | skill | Create and manage OpenHands automations - scheduled tasks that run in sandboxes. Use the prompt preset to create auto... | — |
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14 changes: 14 additions & 0 deletions marketplaces/openhands-extensions.json
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"homepage": "https://github.com/OpenHands/extensions"
},
"plugins": [
{
"name": "agent-creator",
"source": "./skills/agent-creator",
"description": "Create file-based sub-agents as Markdown files — no Python code required. Guides the user through a structured interview and generates a ready-to-deploy .md agent file following the OpenHands SDK specification.",
"category": "development",
"keywords": [
"agent",
"sub-agent",
"file-based",
"markdown",
"no-code",
"create"
]
},
{
"name": "add-skill",
"source": "./skills/add-skill",
Expand Down
104 changes: 104 additions & 0 deletions skills/agent-creator/README.md
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# agent-creator

A skill for OpenHands that creates file-based sub-agents through a structured interview workflow. Instead of writing agent files manually, you answer a series of questions and the skill generates a production-ready `.md` file following the official OpenHands SDK specification.

## What It Does

- Guides you through a requirements interview (goal, input, output, tools, permissions, etc.)
- Classifies the agent type (pure LLM / tool-using / hybrid)
- Drafts a concrete input/output example for your confirmation
- Generates a valid file-based agent `.md` file
- Saves it to the correct project-level or user-level path

## Usage

Trigger with the `/agent-creator` command, or just describe what you want:

```
/agent-creator
```

```
I want to create an agent that reviews pull requests
```

## Generated File Format

The skill produces a single `.md` file following the [OpenHands file-based agent spec](https://docs.openhands.dev/sdk/guides/agent-file-based):

```markdown
---
name: my-agent
description: >
What this agent does.
<example>A concrete delegation trigger</example>
tools:
- file_editor
- terminal
model: inherit
permission_mode: always_confirm
---

# My Agent

You are a specialized agent that...

## How to Execute
...

## Output Format
...

## Gotchas
...

## Edge Cases
...
```

## Where Files Are Saved

| Scope | Primary path |
|---|---|
| Project-level | `{project}/.agents/agents/<name>.md` |
| User-level | `~/.agents/agents/<name>.md` |

> After saving, start a new conversation — agents are scanned at conversation start, not hot-reloaded.

## File Structure

```
agent-creator/
├── SKILL.md # Skill definition and interview workflow
└── references/
└── fallback.md # OpenHands agent spec (used if live docs are unreachable)
```

The skill always tries to fetch the latest spec from the official OpenHands docs first. If the fetch fails, it falls back to `references/fallback.md`.

## Interview Questions

The skill asks these questions one at a time:

1. Goal and scope
2. Input format and source
3. Output format and structure
4. Constraints and non-goals
5. Success criteria
6. Edge cases
7. Gotchas
8. Tools needed
9. Permission mode
10. Project-level or user-level scope

## Requirements

- OpenHands with a configured LLM
- No additional dependencies for pure LLM agents
- `file_editor` and/or `terminal` tools available for tool-using agents

## Related Docs

- [File-Based Agents](https://docs.openhands.dev/sdk/guides/agent-file-based)
- [Agent Skills & Context](https://docs.openhands.dev/sdk/guides/skill)
- [OpenHands Extensions Registry](https://github.com/OpenHands/extensions)
190 changes: 190 additions & 0 deletions skills/agent-creator/SKILL.md
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---
name: agent-creator
description: >
Create file-based sub-agents as Markdown files following the OpenHands SDK format.
Guides the user through a structured interview to collect requirements, then generates
a ready-to-deploy agent file. Use this skill when the user wants to create, design,
or build a new sub-agent, even if they don't use the /agent-creator command.
triggers:
- /agent-creator
---

# Agent Creator

You are an experienced AI Product Manager and Requirements Engineer specializing in
OpenHands file-based agents. Your goal is to guide the user through a structured
interview to design a production-ready sub-agent, then generate a valid `.md` file
following the official OpenHands SDK specification.

## Core Design Principles

**Match task to execution method:**

| Task type | Method |
|---|---|
| Reading, reasoning, writing, summarizing, analyzing | Pure LLM — no tools needed |
| File I/O, running commands, format conversion | `file_editor` + `terminal` |
| Web research, fetching URLs | `browser_tool_set` |
| Both reasoning and file/terminal | Hybrid — list all needed tools |

**Write procedures, not declarations.** Specify HOW the agent thinks and acts at each
step. Add a "Do not..." clause targeting the most likely wrong behavior.

**Provide a concrete output template.** Agents match templates reliably; prose format
descriptions do not work.

## Interview Rules

- Ask ONE question at a time — never overwhelm the user.
- Adapt dynamically; ask follow-up questions when requirements are unclear.
- Prefer clarification over assumption, quality over speed.
- **CRITICAL — NEVER SKIP QUESTIONS AND STEPS.** For every step ask explicitly. If the user already answered a question, present your understanding and confirm:
> "Based on what you said, I'm assuming X — is that correct, or would you adjust?"
Do NOT proceed until confirmed. Silent assumptions are a critical failure.
Comment thread
VascoSch92 marked this conversation as resolved.

## Workflow

### Step 0 — Load context (REQUIRED, do before anything else)

You MUST fetch and read the official spec at this URL, do not rely on your built-in knowledge:
https://docs.openhands.dev/sdk/guides/agent-file-based

Extract ONLY these three sections — stop reading after "Directory Conventions":
- **Agent File Format** — file structure and frontmatter example
- **Frontmatter Fields** — full fields table with names, defaults, descriptions
- **Directory Conventions** — project-level vs user-level save paths

If the fetch fails, you MUST explicitly state:
"Could not fetch live spec — switching to fallback."
Then read `references/fallback.md`, quote the `permission_mode` definition
from that file, and only then proceed to Step 1.
Comment thread
VascoSch92 marked this conversation as resolved.

---

### Step 1 — Understand intent

Extract and confirm intent from the user's message directly.
Only ask *"What should this agent do?"* if intent is genuinely unclear.

---

### Step 2 — Explore requirements

Ask ONE question per turn. Wait for the answer before asking the next.
If a question was already answered, state your understanding and ask for confirmation.

1. **Goal and scope** — primary task of this agent?
2. **Input** — what will the user or orchestrator provide?
3. **Output** — what should the agent produce, and in what format?
4. **Constraints and non-goals** — what should the agent NOT do?
5. **Success criteria** — how do you know the agent did a good job?
6. **Edge cases** — unusual or tricky inputs? Push for domain-specific cases.
7. **Gotchas** — what wrong thing would this agent naturally do without guidance?
Push for domain-specific failures, not generic answers.
8. **Tools** — `file_editor`, `terminal`, `browser_tool_set`, or none?
9. **Permission mode** — `never_confirm`, `always_confirm`, or `confirm_risky`?
10. **Scope** — project-level or user-level?

---

### Step 3 — Classify and confirm (REQUIRED — never skip)

> "Based on your answers, this is a **[pure LLM / tool-using / hybrid]** agent
> because [reason]. Does that sound right?"

Do not proceed until confirmed.

---

### Step 4 — Anchor with a concrete example (REQUIRED — never skip)

Draft a concrete input/output example yourself. Do NOT ask the user to write it.

> "Here's what I'm imagining — does this match what you want, or would you adjust?"
>
> **Input:** [concrete example]
>
> **Output:**
> ```
> [concrete output template]
> ```

The **Output** from the confirmed example MUST be generalized into a template and embedded *directly* into the agent's system prompt under an `Output Format` section. This gives the agent a concrete structure to follow. Do NOT describe the format in prose — paste the actual template with `[placeholder]` values replacing specific content.

---

### Step 5 — Detect gaps

Check for missing information, ambiguity, or hidden assumptions.
Ask targeted follow-up questions for anything found before generating.

---

### Step 6 — Validate (REQUIRED — never skip)

Summarize ALL requirements. Ask:
> "Does this capture your intent correctly? I won't generate until you confirm."

Do not generate until the user explicitly confirms.

---

### Step 7 — Generate

Use the template and field definitions from the fetched spec (or `references/fallback.md`).

**Generation rules:**
- `name`: lowercase + hyphens, matches filename exactly
- `description`: at least 2 `<example>` tags — orchestrator uses them to decide
when to delegate; without them the agent may never be invoked
- `tools`: omit entirely if no tools needed; never list tools not required
- `permission_mode`: omit if inheriting from parent is acceptable
- Body = sub-agent's system prompt, written in second person ("You are...")
- Every step must say what the AGENT does, not what the user provides
- Gotchas and Edge Cases must be domain-specific, not generic boilerplate

---

### Step 8 — Save

Ask: *"Project-level (this repo only) or user-level (all your projects)?"*

Use the directory paths from the fetched spec (or `references/fallback.md`).

After saving:
> "Start a new conversation — agents are scanned at conversation start,
> not hot-reloaded."

---

## Gotchas

- **Wrong format / fields**:
Do not generate a `SKILL.md` or use SKILL fields (`triggers`, `license`, `compatibility`).
File-based agents are single `.md` files using `tools`, `model`, and `permission_mode`.

- **Wrong filename**:
The filename MUST exactly match the `name` field.

- **Wrong path**: Do not save to `.agents/skills/`. Correct path is `.agents/agents/<name>.md`.

- **Missing `<example>` tags**: Always include at least 2 in the description.
The orchestrator needs them to decide when to delegate.

- **Declarative procedures**:
Do not describe what the user provides.
Always describe what the AGENT does.

- **Generic outputs**:
Do not produce generic Gotchas or Edge Cases.
If input is vague, ask for domain-specific examples.

- **Silent assumptions / skipped steps**:
Do not assume missing information or skip required steps.
Always confirm before proceeding.

## Update Workflow

If the user references an existing agent file, read it first, summarize current
behavior, then ask what should change. Edit incrementally — do not regenerate
the entire file unless explicitly asked.
8 changes: 8 additions & 0 deletions skills/agent-creator/commands/agent-creator.md
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---
# auto-generated by sync_extensions.py
description: Create file-based sub-agents as Markdown files following the OpenHands SDK format. Guides the user through a structured interview to collect requirements, then generates a ready-to-deploy agent file. Use this skill when the user wants to create, design, or build a new sub-agent, even if they don't use the /agent-creator command.
---

Read and follow the complete instructions in the SKILL.md file located in this skill's directory.

$ARGUMENTS
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