Claude Code plugins

Converts books and documentation into structured agent skills with chapter summaries, topic indexes and reference files.

Supports customer success, sales engineering, revenue operations and contract writing with focused business workflow guidance.

Evaluates business investments using ROI, IRR, NPV, payback period and capital allocation frameworks.

Maps business processes, reviews vendors, plans operational capacity, and supports internal communications, knowledge management and procurement.

Coordinates executive-style reviews and strategic decisions for founders through role-specific agents and a staged workflow.

Provides executive guidance for company strategy, leadership, board work, finance, technology and organisational decisions.

Organises an unstructured brain dump into projects and ideas, tasks, verified workspace connections and concrete offers of help.

Guides teams through planning chaos experiments, estimating blast radius against error budgets and writing blameless postmortems.

Provides strategic AI leadership advice on model choices, EU AI Act risk, costs and team organisation.

Provides strategic customer-success advice on retention, segmentation, coverage models and CCO team organisation for startups.

Guides startup leaders through AI training-data rights, data-product strategy and data-asset valuation decisions.

Coaches Claude Code users with personalised prompt tips, cheat codes and ratings to improve their next attempt.

Creates persona-targeted CodeTour walkthroughs that link project explanations to real files and line numbers.

Reverse-engineers codebases into structured PRDs covering routes, APIs, models, pages, and application behaviour.

Calibrates how Claude and the developer contributed to a session through a four-frame retrospective with an explicit rubric.

Adds structured SaaS commercial analysis for pricing, deals, partnerships, RFPs and quarterly forecasts.

Maps company profiles to applicable compliance frameworks, audits control overlap, simulates readiness, and consolidates evidence across nine standards.

Audits datasets for completeness, consistency, accuracy and validity with profiling, missing-value analysis and outlier detection.

Adds a navigable study companion for Goodfellow's Deep Learning book, with chapter guidance and practical diagnostic tools.

Runs auditable, multi-source investigations with hypothesis testing, source triangulation and adversarial review for high-stakes questions.

Plans and tracks focused workdays with time blocks, shallow-work budgets, focus sessions and weekly streaks.

Reads supplied books, articles, PDFs, and document sets with evidence tracking, confidence labels, and teach-back views.

Optimises Dockerfiles and container workflows with Compose, multi-stage builds, security hardening and CI/CD patterns.

Produces hypothesis-tested dossiers on companies, people and organisations for due diligence, meetings and competitor research.