PR Walkthrough Agent Skill

Generate a static interactive D3 walkthrough of a pull request.

Context cost
7.2k tokensestimated from the bundle, loaded when it triggers
Bundle
3 files · 78.3 kB2 scripts among them — read before you run
Licence
not declarednone named by its author
Last change
—no release on file
Servers it uses
Noneruns standalone

What it does

Generate a static interactive D3 walkthrough of a pull request. Use when the user wants a zoomable PR map, graph/canvas PR orientation, or alternate visualization of PR system components, data flow, code dependencies, and user actions.

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

collaboration

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md28.9 kB · preview
--- name: pr-walkthrough ---
5# PR Walkthrough
6Create a local static HTML/CSS/JavaScript walkthrough that orients a reviewer to the current branch's pull request as four separate interactive D3 views. The walkthrough should help the reviewer understand the affected code and the PR from four distinct views:
7- **System overview view**: a concise standalone code overview for the subsystem touched by the PR. It should not feel like a graph. Present it as a small set of expanded component cards that give the reviewer just enough architectural context to get their bearings before reviewing the PR. Do not mention the PR, changed files, review comments, diff links, screenshots, specs, or implementation deltas in this view.
8- **Data flow graph**: how state, data, events, requests, files, assets, or rendered output move through the changed system.
9- **Code dependency graph**: which changed components depend on each other, where the major seams are, and which files are entry points versus leaf dependencies.
10- **User action graph**: what the user does, what surface they interact with, and how that action flows through the implementation.
11This skill is an experiment in canvas-based PR comprehension. Do not reproduce the slideshow format. Do not put all perspectives on one graph. Generate four separate canvas views that the user can toggle between, and provide a guided tour within each view so the site teaches the PR from start to finish. Scale the walkthrough to the PR size: a small PR should feel like a compact reviewer aid, not a comprehensive architecture document.
12This skill is not a code-review skill. Do not generate new review findings, approve/request-changes recommendations, or exhaustive critique. Use the full codebase at the PR/head commit, the PR diff, PR description, specs changed by the PR, and existing review comments from humans or agents to produce orientation maps that help a reviewer understand the change quickly.
13## Output
14Create a self-contained site at:
15- .warp/pr-walkthrough/index.html
16The site must be loadable directly from the local filesystem with a file:// URL. Do not require a dev server, package install, bundler, or build step.
17Prefer one self-contained HTML file with inline CSS, inline JavaScript, and inline data. If splitting files is unavoidable, use only relative local files and avoid fetch() because browser restrictions can block local file reads.
18D3 should be loaded from a pinned official release on a reputable CDN. Use the helper script's default unless there is a concrete reason to change it:
19- https://cdn.jsdelivr.net/npm/d3@7.9.0/dist/d3.min.js
20Do not use unpinned latest URLs, unofficial builds, or dynamic package ranges. Do not show repeated D3 implementation disclaimers in the UI. Keep CDN/runtime details in validation logs or final caveats only when relevant.
21For reusable deterministic D3 rendering, prefer the helper script at scripts/d3_canvas_runtime.py. It emits Brandalf-aligned CSS, an inline runtime loader that defines the renderer before injecting the pinned D3 script, and a graph renderer with zoom, pan, graph switching, search, node details, fit-to-view, and guided tour controls. Use this helper rather than writing one-off D3 setup code in each generated walkthrough.
22The generated canvas must be treated as generated code that requires validation. Before reporting that a walkthrough is ready, run scripts/validate_d3_canvas.py against the generated HTML. If the canvas fails to initialize, D3 fails to load, required graphs are missing, tour controls do not work, nodes/edges do not render, or browser validation cannot be performed in an environment where it should be available, debug and regenerate before saying the walkthrough is ready. If a browser-capable environment is genuinely unavailable, report canvas rendering as unverified instead of ready.
23## Brand styling
24Use the brandalf skill when generating or revising walkthrough visual design. Brandalf points to the hosted Warp brand source of truth; fetch and apply it before writing the HTML/CSS for the walkthrough. If the hosted brand source is unavailable, proceed with the fallback tokens below and report the caveat in the final response.
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md4,258 words
Files3
Licencenot declared
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈70
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
7,155
on trigger
The instruction body and 2 supporting files, read only when the skill fires.
3.6%
of a 200k window
Ten skills this size would take about 36% of the window before you open a file.
050k100k150k200k context window

7.2k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Heavy. Teams tend to install this one per project rather than globally, and load it only when the job comes up.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

Its SKILL.md does not declare which tools it asks the agent for, so what it touches is whatever the instructions themselves ask for — read them before you install it.

What it asks for
Writes filesnot declared
Network accessnot declared

This SKILL.md carries no allowed-tools line, so neither is declared. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

3 files, 78.3 kB on disk. Mostly text — the instructions the model reads — with 2 scripts in it that your client would run only if the instructions tell it to.

  • SKILL.md28.9 kB
  • scripts/d3_canvas_runtime.py38.1 kB
  • scripts/validate_d3_canvas.py11.3 kB
What is not in it

A skill installs nothing and depends on nothing: it is a folder your client reads. This one carries 2 scripts beside the text, so the bundle is 3 files you can review in full before installing.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# PR Walkthrough · 7.2k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/pr-walkthrough/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/pr-walkthrough" ] && { [ ! -e .claude/skills/pr-walkthrough ] || { mv .claude/skills/pr-walkthrough "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/pr-walkthrough" .claude/skills/ && echo "Installed .claude/skills/pr-walkthrough"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add karanmrn/pr-walkthrough

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/pr-walkthrough/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/pr-walkthrough/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/pr-walkthrough" ] && { [ ! -e ~/.claude/skills/pr-walkthrough ] || { mv ~/.claude/skills/pr-walkthrough "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/pr-walkthrough" ~/.claude/skills/ && echo "Installed ~/.claude/skills/pr-walkthrough" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/pr-walkthrough/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Versionnot versioned
Publishedno release date on file
PriceFree
Referencekaranmrn/pr-walkthrough

Versions

Its author publishes no version number, so there is nothing here to pin to: what you install is the folder as it stands today. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

Pinning

Nothing to pin to: this skill carries no version number of its own. What you install is what the folder holds on the day you install it.

Reviews

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