# Whitelabel Radar > Turns a 30-day trend pulse into a segmented, contactable white-label / group-sale target list of network-marketing leaders for Brent's Tiger Claw. Chains the last30days skill (the pulse) to tiger-leader-hunt (deep scoring). Use when Brent says "whitelabel radar", "find white-label partners / targets", "who can I white-label Tiger to", "turn this trend into leads/targets", or wants to find NM coaches/trainers/authors to resell a branded Tiger to. Defers trend research to last30days and leader scoring to tiger-leader-hunt. - Skill: `bbrysonelite-max/whitelabel-radar` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add bbrysonelite-max/whitelabel-radar` - Raw SKILL.md: https://api.skillmd.com/api/skills/bbrysonelite-max/whitelabel-radar/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Marketing & Growth - Author: bbrysonelite-max (https://skillmd.com/u/bbrysonelite-max) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/bbrysonelite-max/whitelabel-radar --- # White-Label Radar Find NM leaders who already sell AI/recruiting education to their own teams, and pitch them a white-labeled Tiger Claw they resell as their own. The model: **they teach AI; you give their students the actual agent, branded as theirs.** Brent's record selling since 1989 (brentbryson.ai) is the door-opener. > **Pattern note:** this is a *template* for last30days-based use-case skills — run the pulse, extract > the right entities, segment, act. Clone it for other verticals/intents (recruits, partners, buyers). ## Workflow (one todo per step) 1. **Pulse — run `last30days`.** Default angle: `AI for network marketing and direct selling`. Other angles: `AI sales agents`, `network marketing recruiting AI`, `direct selling AI tools`. Take the angle from Brent if he gave one. - **REQUIRED on this machine:** the engine fails with `SSL: CERTIFICATE_VERIFY_FAILED` unless certifi is wired in. Before running, export it: ```bash python3.14 -m pip install --user --quiet certifi 2>/dev/null export SSL_CERT_FILE="$(python3.14 -c 'import certifi; print(certifi.where())')" ``` Then run last30days normally (it inherits the env). Without this, every source returns 0 items. 2. **Extract LEADERS, not audiences.** From the result, pull the named **channel owners / creators**: YouTube channels, X handles, IG/TikTok creators, book authors. **Do NOT harvest commenters** - mass-scraping viewers is ToS-gray and against Brent's public-only compliance line. The target is the leader; their audience is reached *through* the white-label, later. 3. **Segment** each leader: - **Tier A — go now:** mid-size NM coaches already selling AI/recruiting education (courses, challenges, "how to use AI" content), reachable, real audience. Ideal white-label fit. - **Tier B — marquee, long game:** the big names (e.g. Eric Worre / Network Marketing Pro). Warm intro only (Brent's upline / Jeff Mack), never cold. - **Competitors — watch, don't pitch:** AI-sales-agent products (e.g. CallLoop / @polsia), MLM software vendors. Note them as competitive signal, not partners. 4. **Find the PUBLIC contact path** for each Tier A/B target via Codex web search — one-by-one, public only: website contact/booking page, YouTube "About" business email, LinkedIn, IG DM. Never a scraped blast. 5. **Write the dossier** to `~/Desktop/whitelabel-target-dossier.md` (update if it exists): a table per tier (name · where · what they sell · contact path · tailored angle), plus a leader-to-leader outreach template that opens with genuine reference to their work, states Brent's top-rank credibility, links **brentbryson.ai**, and offers a 15-minute white-label demo. Value-first, no grind. 6. **Update the pipeline tracker** at `~/Desktop/partner-pipeline.md`: append any genuinely-new target as a `new` row (target · tier · channel · status · last touch · next action · notes). NEVER overwrite an existing row's status - only add new ones and append a dated line to the Activity log. **Then hand Brent the action the frictionless way** — he is phone-first and hates copy-paste / markdown: - **Emails (the default):** queue a FINISHED draft straight into his Gmail Drafts. Write the body (message + signature) to a temp file, then run: `python3 ~/.tiger/draft_email.py --to "" --subject "" --body-file ` It appears in his phone Gmail → Drafts → he taps Send. NO paste-blocks, NO Reminders for emails. **Batch it:** for a multi-target run, queue ALL the drafts in one pass so he sends a *stack*, not one-at-a-time. (Mechanism + app-password handling: see memory `project_gmail_draft_pipeline`.) Only fall back to a paste-ready To/Subject/Body block in chat if the draft pipeline is unavailable. - **Non-email actions** (a call, a decision, a real-world to-do): add to the Apple **"DO THIS"** Reminders list via `osascript` (syncs to his iPhone, voice-addable). Do NOT use `~/Desktop/DO-THIS.md` markdown — he never opens markdown. - Never let a manual step live only in chat. 7. **Hand off to `tiger-leader-hunt`** for deep scoring/enrichment of the Tier A/B list (leverage, team size, reach). This skill builds the seed list; tiger-leader-hunt ranks and deepens it. ## Outreach template (leader-to-leader, no grind) > [Name] - I saw your [specific video/post] on AI for [recruiting/lead-gen]. You're teaching the right > thing. I'm Brent Bryson - selling since 1989, top rank in network marketing - and I built the agent your students are > looking for: it does the follow-up, books the call, keeps every lead warm. Here's me: brentbryson.ai. > I'd love to show you a white-labeled version you could put your name on for your team. Worth 15 minutes? ## Out of scope (point elsewhere) - **"Show up as the top voice"** is a *content* track, not this skill - use `cadence` / `write-content`, and genuinely engage on these leaders' posts before pitching. - Deep per-leader scoring → `tiger-leader-hunt`. Trend research → `last30days`. ## Codex Runtime Resolve sibling Codex skills from installed skill roots (including `~/.codex/skills`) or the current collection; do not assume a legacy skill root. Never expose or print secret, credential, or token values. Mandatory dependencies: - `last30days and tiger-leader-hunt skills` - `enrichment and publishing credentials` Preflight each dependency using MCP/app capability discovery, CLI availability/version checks, read-only filesystem or Git checks for repositories, and provider auth-status commands without printing secrets, credentials, or tokens. If any mandatory dependency is unavailable, stop and report a concise blocked state naming the missing dependency and the next action needed.