analysis-pipeline
Reverse engineering - multi-source product intelligence analysis with provenance tracking. Master methodology for all analysis agents.
Layer 1 skill for browser automation and visual UX documentation. Initial reconnaissance, navigation mapping, interaction documentation, end-to-end flow capture, edge case exploration, screenshot methodology. Loaded by the analyzer agent during Layer 1.
$ npx -y skills add prime-radiant-inc/greenfield --skill visual-exploration --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/visual-explorationContext preview
The summary Claude sees to decide when to auto-load this skill.
Layer 1 skill for browser automation and visual UX documentation. Initial reconnaissance, navigation mapping, interaction documentation, end-to-end flow capture, edge case exploration, screenshot methodology. Loaded by the analyzer agent during Layer 1.
name: visual-exploration description: Layer 1 skill for browser automation and visual UX documentation. Initial reconnaissance, navigation mapping, interaction documentation, end-to-end flow capture, edge case exploration, screenshot methodology. Loaded by the analyzer agent during Layer 1.
Document behavioral intelligence through browser automation and visual observation. Every screenshot is an empirical observation. Every interaction sequence is a behavioral flow. This mode captures what the user SEES and what the system DOES in response to user actions.
Visual exploration activates when:
This mode requires a running instance of the target application and browser automation capabilities (Playwright, Puppeteer, or equivalent). All output is **RAW** (screenshots and flow documentation capture the target's UI in detail).
Targets without a web UI get no useful signal from this mode — skip it.
Source code tells you what the system CAN do. Tests tell you what the system MUST do. Visual exploration tells you what the system LOOKS LIKE while doing it. This is behavioral intelligence that no other mode captures:
**Goal:** Navigate to the root URL, capture the landing page, and identify the application type, auth requirements, and available affordances.
# Navigate to root URL and screenshot # (Using Playwright as reference; adapt to available browser automation)
const page = await browser.newPage();
await page.goto(ROOT_URL, { waitUntil: 'networkidle' });
await page.screenshot({ path: 'workspace/raw/runtime/visual/screenshots/001-landing.png', fullPage: true });Document:
If authentication is required: 1. Screenshot the login page 2. Document the auth method (username/password, OAuth, SSO, API key) 3. If test credentials are available, authenticate and screenshot the post-login state 4. If no credentials are available, document the gate and explore only the unauthenticated surface
**Goal:** Click every navigation element, screenshot each page, and document the complete navigation tree.
// Extract all navigation links
const navLinks = await page.$$eval('nav a, [role="navigation"] a, .sidebar a, .menu a, header a',
links => links.map(a => ({ text: a.textContent.trim(), href: a.href }))
);For each navigation element: 1. Click the element (or navigate to the href) 2. Wait for the page to settle (network idle or DOM stable) 3. Take a full-page screenshot 4. Record the URL, page title, and visible heading 5. Identify sub-navigation elements on the new page
for (const [index, link] of navLinks.entries()) {
await page.goto(link.href, { waitUntil: 'networkidle' });
await page.screenshot({
path: `workspace/raw/runtime/visual/screenshots/nav-${String(index).padStart(3, '0')}-${slugify(link.text)}.png`,
fullPage: true
});
}Write to `workspace/raw/runtime/visual/navigation-map.md`:
## Navigation Tree
- **Home** (`/`) -- screenshot: 001-landing.png
- **Dashboard** (`/dashboard`) -- screenshot: nav-001-dashboard.png
- **Analytics** (`/dashboard/analytics`) -- screenshot: nav-002-analytics.png
- **Reports** (`/dashboard/reports`) -- screenshot: nav-003-reports.png
- **Settings** (`/settings`) -- screenshot: nav-004-settings.png
- **Profile** (`/settings/profile`) -- screenshot: nav-005-profile.png
- **Billing** (`/settings/billing`) -- screenshot: nav-006-billing.png**Goal:** For each page, identify interactive elements, interact with them, and capture before/after screenshots documenting the system's feedback.
For each page, identify:
const interactiveElements = await page.$$eval(
'button, input, select, textarea, [role="button"], [role="tab"], [onclick], a[href="#"]',
els => els.map(el => ({
tag: el.tagName,
type: el.type || '',
text: el.textContent?.trim().substring(0, 50),
id: el.id,
name: el.name,
ariaLabel: el.getAttribute('aria-label'),
}))
);For each interactive element:
1. **Before screenshot** -- capture the page state before inter
Reverse engineer clean behavioral specs from any codebase. Greenfield reads source code, documentation, SDKs, runtime behavior, and binaries, then produces behavioral specifications, test vectors, acceptance criteria, and a full provenance trail.
Repo: prime-radiant-inc/greenfield
Reverse engineering - multi-source product intelligence analysis with provenance tracking. Master methodology for all analysis agents.
Layer 1 intelligence source discovery - auto-detect available sources, search for public information, negotiate with user, produce inventory manifest
Layer 3 deep documentation methodology. Per-module behavioral specifications, external and behavioral integration contracts, behavior documentation, end-to-end…
Layer 1 methodology for extracting behavioral intelligence from compiled binaries, bytecode archives, managed assemblies, and bundled applications. Covers…
Layer 1 skill for community intelligence gathering. Search channels, extraction methodology, consensus analysis, version-aware behavioral changes, structural…
Infrastructure skill for containerized target execution. Runtime detection, container lifecycle, security restrictions, interaction patterns.