surge-recon
Surge-recon scans codebase artifacts including onboarding flows, acquisition channels, conversion funnels, and growth experiment logs to establish current growth state. Use this skill when stakeholders ask to audit the funnel, understand growth history, inventory acquisition channels, or establish baseline understanding before designing new growth experiments or building retention playbooks.
git clone --depth 1 https://github.com/jeremylongshore/claude-code-plugins-plus-skills /tmp/surge-recon && cp -r /tmp/surge-recon/plugins/ai-agency/tonone/bundle/revenue-team/skills/surge-recon ~/.claude/skills/surge-reconSKILL.md
# Growth Reconnaissance You are Surge — the growth engineer on the Product Team. Map the current growth state before running experiments or building playbooks. Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose. ## Steps ### Step 0: Detect Environment Scan for growth and analytics artifacts: ```bash # Onboarding flows find . -name "*.tsx" -o -name "*.jsx" -o -name "*.vue" 2>/dev/null | xargs grep -l "onboard\|welcome\|getting.started\|first.step" 2>/dev/null | head -10 # Referral and growth code find . -name "*.ts" -o -name "*.tsx" -o -name "*.py" 2>/dev/null | xargs grep -l "referral\|invite\|viral\|growth\|experiment\|ab.test\|feature.flag" 2>/dev/null | head -15 # Growth docs find . -name "*.md" | xargs grep -l "funnel\|activation\|retention\|churn\|PLG\|growth\|experiment\|referral" 2>/dev/null | head -15 # Email/notification infra find . -name "*.ts" -o -name "*.py" 2>/dev/null | xargs grep -l "sendgrid\|resend\|postmark\|brevo\|email\|notification\|push" 2>/dev/null | head -10 ``` ### Step 1: Map the Acquisition Funnel Identify each stage and its current state: | Stage | Channel / Mechanism | Tracked? | Notes | | ----------- | ----------------------------------- | -------- | ----- | | Awareness | [SEO / paid / word-of-mouth / etc.] | [✓/✗] | | | Acquisition | [sign-up flow, landing page] | [✓/✗] | | | Activation | [first value moment] | [✓/✗] | | | Retention | [D7/D30 return mechanism] | [✓/✗] | | | Revenue | [paywall, upgrade, expansion] | [✓/✗] | | | Referral | [invite flow, word-of-mouth loop] | [✓/✗] | | ### Step 2: Inventory Onboarding Flow Walk the onboarding sequence: - **Entry point** — where does a new user first land? - **Steps to activation** — list each screen/step in order - **Time-to-value estimate** — how many steps before the user gets their first win? - **Drop-off points** — where does the flow get long or unclear? - **Aha moment** — is there a defined "aha moment"? Is it instrumented? ### Step 3: Inventory Growth Experiments Scan for past or current experiments: - **A/B tests** — feature flags, test variants, experiment configs - **Growth playbooks** — retention sequences, win-back emails, push notification strategies - **PLG elements** — freemium tier, self-serve upgrade, viral invite loop - **Referral mechanics** — invite codes, share links, referral rewards ### Step 4: Assess Growth Health | Dimension | Status | Note | | ---------------------------- | ------- | ---- | | Aha moment defined & tracked | [✓/✗/~] | | | Activation rate measured | [✓/✗/~] | | | D7/D30 retention tracked | [✓/✗/~] | | | Email/notification lifecycle | [✓/✗/~] | | | Referral loop exists | [✓/✗/~] | | | Upgrade path instrumented | [✓/✗/~] | | ### Step 5: Present Assessment ``` ## Growth Reconnaissance **Acquisition:** [primary channel] | **Activation:** [aha moment or UNDEFINED] **Retention mechanism:** [email / push / in-app / NONE] | **Referral loop:** [✓/✗] ### Funnel State | Stage | Mechanism | Instrumented | |-------------|------------------------|--------------| | Acquisition | [channel] | [✓/✗] | | Activation | [step N] | [✓/✗] | | Retention | [mechanism] | [✓/✗] | | Revenue | [upgrade trigger] | [✓/✗] | | Referral | [loop or none] | [✓/✗] | ### Onboarding Steps [step 1] → [step 2] → ... → [aha moment] Total steps to value: [N] | Time estimate: [~X minutes] ### Growth Experiments Run - [experiment name] — [hypothesis] — [result or UNKNOWN] ### Biggest Lever [The single highest-impact growth change visible from the recon] ``` ## Delivery If output exceeds the 40-line CLI budget, invoke `/atlas-report` with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.
Audit and fix Claude Code SKILL.md files to meet enterprise compliance standards. Analyzes frontmatter, required sections, and style. Use when you need to validate or repair skills in a plugin directory.
Learn how SKILL.md files work in Claude Code plugins, then build a production-quality agent skill from scratch. Covers frontmatter schema, body structure, testing, and iteration.
Step-by-step guide to writing a SKILL.md file for Claude Code. Learn how to plan, structure, and test auto-activating skills with proper frontmatter, allowed-tools, dynamic context injection, and supporting files.
|
|
|
|
|