Complete Toolkit Bundle

Qualify and score a whole lead list with BANT or MEDDIC, automatically. Researches each account for buying signals like funding and leadership changes, scores it with a reason code for every point, and returns a prioritized queue with outreach drafts tied to what it found. CSV in, sales-ready queue out.

Penetration-test your Claude Code agent's guardrails before you deploy. Throws prompt-injection payloads, shell-chaining, and path-traversal attempts at your PreToolUse/PostToolUse hooks and sensitive-file protections, then returns a pass/fail report on 10+ attack vectors with copy-paste remediation for every gap.

Map any repo into an interactive D3 dependency graph plus a Markdown onboarding guide: entry points, module relationships, circular dependencies, and dead-code candidates, with refactor suggestions. Parses TypeScript, Python, Java, Go, and Rust imports, exports, and calls. Self-contained HTML, no source changes.

Generate a complete 30/60/90 day product launch plan: positioning, a Product Hunt strategy, a press list of 50+ contacts, a 4-stage email sequence, a 14-day social calendar, and an hour-by-hour launch-day checklist. Everything built and ready to run, not vague 'post on social' advice.

Save a coding agent's full working state to a handoff file before it hits the context limit, then resume in a fresh session without re-explaining everything. Captures the active plan, git branch, uncommitted changes, decisions, blockers, and next steps, so Claude Code or Codex picks up exactly where it stopped instead of starting cold.

Batch-enrich a lead-list CSV: waterfall lookups across Apollo, Clearbit, Hunter, and ZoomInfo find and verify emails for 3+ decision-makers per account, score each lead 0-100 on ICP fit and buying signals, and export CRM-ready for HubSpot or Salesforce. Built for hundreds of leads, not one at a time.

Handle any B2B sales objection with a framework-backed response: classifies it (price, authority, timing, competition, need), then drafts an email or call script tailored to your product and price point, plus the discovery questions that surface the objection behind the objection. Built on LAER, Sandler, and JOLT, not pushy improv.

Turn a CRM export or live HubSpot/Salesforce/Pipedrive sync into an executive-ready pipeline report: a 12-month weighted forecast with three scenarios, win/loss themes pulled from deal notes, data-quality flags, and a board-ready PDF. Can run weekly and email itself to stakeholders.

Audit any URL for technical SEO, Core Web Vitals, on-page issues, and content gaps against up to three competitors, then get a ranked, ready-to-hand-off action plan. Uses live crawl data and PageSpeed signals, with optional Ahrefs/Moz/Semrush APIs when you have them.

Turn messy PRDs, Notion docs, and user stories into a structured implementation plan: tasks with dependencies, complexity estimates, file paths, and acceptance criteria, plus GitHub-ready issues you can post with one command. Flags the unresolved questions to settle with stakeholders before code starts.

Set up and book meetings end to end: generates Cal.com or Calendly booking links, converts your availability to the prospect's timezone, and drafts the full invite, reminder, follow-up, and thank-you sequence with an agenda matched to the meeting type (discovery, demo, onboarding). Buffers built in so you're not booked back to back.

Generate personalized multi-step cold email sequences from a lead CSV: a Day 1/3/7 cadence per prospect, A/B subject lines, and a 100-point spam-risk check that rewrites risky copy to protect deliverability. Exports CRM-ready for HubSpot or Salesforce. Built for batches, not one email at a time.

Drive a browser from your agent without the token bloat. Batches navigate/click/type into one call, stays logged in with persistent sessions, and feeds the model compact DOM snapshots instead of giant HTML, so multi-step flows like logins, form-filling, and scraping behind auth stay fast and cheap. Runs on the uBrowser MCP server.

Run real Playwright E2E tests on your web app: login, checkout, and form flows across desktop and mobile viewports, with screenshots, traces, and console logs captured on every failure. Catches broken flows and UI regressions before release, and tells you the likely fix, not just that something broke.

Debug failing GitHub Actions without scrolling 10,000 log lines. Reads the logs from the first failing step, pinpoints the root cause (missing secret, dependency mismatch, YAML syntax, permissions), and hands you a copy-paste fix, then offers to open the PR. GitHub CLI required.

Turn deal details into a branded, client-ready deal room: an interactive HTML microsite with pricing tiers, an ROI calculator, case studies, and clear next steps, ready to deploy to Netlify, Vercel, or S3 in seconds. A professional client portal instead of another PDF attachment.

Run a 10,000-iteration Monte Carlo forecast on your pipeline CSV to get P50/P70/P90 revenue confidence intervals, an ASCII distribution histogram, and what-if scenarios for slipped deal dates. Answers 'how likely are we to hit the number?' instead of a flat weighted-pipeline guess.

Turn CRM exports into sales rep scorecards: 0-100 performance scores across activity, pipeline, conversion, and forecast accuracy, plus evidence-based coaching notes for weekly 1-on-1s. One review-ready report instead of a spreadsheet weekend.

Turn an account's contact list into a champion map: classifies each stakeholder as economic buyer, coach, blocker, or user, scores them 0-100, and renders the power structure as an org chart with a next-action angle for each one. So reps stop treating every stakeholder like the same beige rectangle.

Turn git history into clean release notes: parses Conventional Commits across a tag range or commit window, groups them into Features, Fixes, and Breaking Changes, translates the jargon into plain English, and suggests the next SemVer bump. Markdown ready for GitHub, GitLab, or your CHANGELOG.md.

Turn a raw account CSV into balanced sales territories: assigns accounts by region, industry, workload, and ARR, flags orphaned high-value accounts, and hands managers specific rebalancing moves. Compares region-based vs industry-based models so coverage is even instead of cherry-picked.

Humanize AI writing without changing the facts: strips the tells (delve, tapestry, em-dash abuse, throat-clearing) and rewrites flat LLM prose into sharp, concrete, human-sounding copy. Feed it a writing sample and it builds a reusable voice profile so every future draft sounds like you, not the model.