explain: Research & Knowledge for AI Agents | OpenAgentSkill

Overview

Explain what a piece of code does — a specific file, class, or method in close detail, or a user-facing flow as a concise system overview. What it does and why, not whether it's good.

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Behavior

Explain $ARGUMENTS. Do the research and deliver the explanation in one pass.

Determine the mode from the argument:

If the argument is a file path, class name, or method — this is a code explanation. Follow the Code Explanation section.
If the argument is a user action, feature, or flow description (e.g. "password reset", "checkout", "authentication") — this is a flow explanation. Follow the Flow Explanation section.

Code Explanation

Start by checking the git history for the file: git log --oneline -15 <file> and git log -1 -p <file> for the most recent change. Commit messages often reveal the "why" that the code itself doesn't — a bug that was fixed, a refactor that simplified something, a workaround for an external constraint. Note anything that reframes the code before diving into it.

Then read the code carefully and explain in this order:

1. What it does — in one paragraph

Plain English. No jargon, no code. Describe what this code accomplishes from the outside — what goes in, what comes out, what changes as a result. Write it the way you'd explain it to the client who asked for the feature.

2. How it does it — walking through the logic

Narrate the code path in plain English, step by step. For each meaningful chunk:

What is this step doing?
Why is it doing it here, in this order?
What would break if it wasn't here?

Don't narrate every line — skip the obvious. Focus on the parts that require interpretation.

3. Patterns and conventions in use

Name the Rails, Ruby, or design patterns this code is using — and why they appear here. Examples:

"This is a service object following the thoughtbot pattern — one public call method, one responsibility"
"This is using delegate to avoid Law of Demeter violations"
"This callback is doing what's normally done in a service object — worth noting"
"This is a query object extracting complex AR logic out of the model"

If the code is using a pattern poorly or unexpectedly, name that too — neutrally. This isn't a review, but understanding requires knowing when something is off-label.

4. What to watch out for

Any non-obvious behaviour, implicit dependencies, or things that would surprise someone maintaining this code. Not a critique — just "here's what you'd need to know to work safely in this area."

Flow Explanation

Start with the Rails router. Locate the route(s) that correspond to the described flow. From each entry point, trace the execution path through the codebase — controllers, service objects, models, callbacks, jobs, mailers. Follow both success and failure paths.

Then deliver the explanation in two parts: a diagram and a summary.

1. Diagram

Render a concise visual flowchart of the system using box-drawing characters. The diagram should show:

States and transitions — the lifecycle, not the method calls
Decision points — where the flow branches
Key actions — what happens at each step, described in plain English
Terminal states — where the flow ends

Conventions:

Box-drawing characters for structure: ┌─┐, │, ├──, └──, ▼, ◄
Decision points as plain text with branches: YES / NO
Actions as concise descriptions, not method signatures
Indent sub-steps under their parent action

The goal is to outline the system concisely — show how it behaves, not how the code is structured. A reader should be able to understand the full lifecycle from the diagram alone.

See the example in example.md for the expected style and level of detail.

2. Summary

After the diagram, add three sections in plain English:

Entry points — every way this flow can be triggered. For each, one sentence describing what triggers it and what it does.

Branching logic — the conditions that shape the flow. Feature flags, state checks, validations, guard clauses — anything that determines which path is taken.

Side effects — everything with consequences outside the immediate flow. Jobs, mailers, external API calls, broadcasts, cache writes, state transitions. The things you'd need to know about before touching this code.

Tone

Clear and direct. You're translating, not teaching and not judging. The goal is that they finish with a working mental model of what this code does and how to navigate it. Skip all hedging — if something is unclear in the code itself, say so plainly.

View source ↗

File metadata

name: explain
description: Explain what a piece of code does — a specific file, class, or method in close detail, or a user-facing flow as a concise system overview. What it does and why, not whether it's good.
argument-hint: "[file path, class name, method, or flow description]"
disable-model-invocation: true
context: fork
agent: Explore

View original text

---
name: explain
description: Explain what a piece of code does — a specific file, class, or method in close detail, or a user-facing flow as a concise system overview. What it does and why, not whether it's good.
argument-hint: "[file path, class name, method, or flow description]"
disable-model-invocation: true
context: fork
agent: Explore
---

## Behavior

Explain `$ARGUMENTS`. Do the research and deliver the explanation in one pass.

Determine the mode from the argument:

- **If the argument is a file path, class name, or method** — this is a **code explanation**. Follow the Code Explanation section.
- **If the argument is a user action, feature, or flow description** (e.g. "password reset", "checkout", "authentication") — this is a **flow explanation**. Follow the Flow Explanation section.

---

## Code Explanation

Start by checking the git history for the file: `git log --oneline -15 <file>` and `git log -1 -p <file>` for the most recent change. Commit messages often reveal the "why" that the code itself doesn't — a bug that was fixed, a refactor that simplified something, a workaround for an external constraint. Note anything that reframes the code before diving into it.

Then read the code carefully and explain in this order:

### 1. What it does — in one paragraph

### 2. How it does it — walking through the logic

Narrate the code path in plain English, step by step. For each meaningful chunk:

- What is this step doing?
- Why is it doing it here, in this order?
- What would break if it wasn't here?

Don't narrate every line — skip the obvious. Focus on the parts that require interpretation.

### 3. Patterns and conventions in use

Name the Rails, Ruby, or design patterns this code is using — and why they appear here. Examples:

- "This is a service object following the thoughtbot pattern — one public `call` method, one responsibility"
- "This is using `delegate` to avoid Law of Demeter violations"
- "This callback is doing what's normally done in a service object — worth noting"
- "This is a query object extracting complex AR logic out of the model"

If the code is using a pattern poorly or unexpectedly, name that too — neutrally. This isn't a review, but understanding requires knowing when something is off-label.

### 4. What to watch out for

Any non-obvious behaviour, implicit dependencies, or things that would surprise someone maintaining this code. Not a critique — just "here's what you'd need to know to work safely in this area."

---

## Flow Explanation

Then deliver the explanation in two parts: a **diagram** and a **summary**.

### 1. Diagram

Render a concise visual flowchart of the system using box-drawing characters. The diagram should show:

- **States and transitions** — the lifecycle, not the method calls
- **Decision points** — where the flow branches
- **Key actions** — what happens at each step, described in plain English
- **Terminal states** — where the flow ends

**Conventions:**

- Box-drawing characters for structure: `┌─┐`, `│`, `├──`, `└──`, `▼`, `◄`
- Decision points as plain text with branches: `YES` / `NO`
- Actions as concise descriptions, not method signatures
- Indent sub-steps under their parent action

The goal is to outline the system concisely — show how it behaves, not how the code is structured. A reader should be able to understand the full lifecycle from the diagram alone.

See the example in `example.md` for the expected style and level of detail.

### 2. Summary

After the diagram, add three sections in plain English:

**Entry points** — every way this flow can be triggered. For each, one sentence describing what triggers it and what it does.

**Branching logic** — the conditions that shape the flow. Feature flags, state checks, validations, guard clauses — anything that determines which path is taken.

**Side effects** — everything with consequences outside the immediate flow. Jobs, mailers, external API calls, broadcasts, cache writes, state transitions. The things you'd need to know about before touching this code.

---

## Tone

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
AI review approval is missing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 25 GitHub stars
Stars/forks activity: 25 stars, 1 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Open full audit

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Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
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Source & usage notes

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Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: thoughtbot/rails-consultant
License: MIT
Version: Unknown
Last GitHub push: Sep 18, 2026
Registry updated: Sep 19, 2026
Instruction path: skills/explain/SKILL.md @ 557f1b07f4c2

Version reported in registry metadata; check source releases before relying on it.

Quality

55/100

Promising

Trust

61/100

Agent access

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

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More details

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Source: thoughtbot/rails-consultant
Indexed by: OpenAgentSkill community index

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