Terminalskills Skills

Build autonomous financial research agents that analyze stocks, SEC filings, earnings calls, and market data to produce investment reports. Use when: automating investment research, building AI-powered stock analysis, creating financial due diligence agents.

Find and build a community around your product — identify where your users gather, engage authentically, and grow a loyal user base. Use when: building community-led growth, finding early adopters, creating a brand community.

Create a comprehensive marketing plan — channels, messaging, content strategy, and growth tactics. Use when: planning marketing for a product launch, creating a content calendar, designing a go-to-market strategy.

Build marketplace and platform payment flows with Stripe Connect. Use when: building two-sided marketplaces, splitting payments between buyers and sellers, onboarding sellers/providers to accept payments, handling platform fees and payouts, or managing connected accounts for a platform.

Find and convert your first 10-100 customers using founder-led sales, community engagement, and early adopter strategies. Use when: launching a new product, acquiring first users, building initial traction before scaling.

Crack password hashes offline with John the Ripper. Use when a user asks to identify an unknown hash format, recover a forgotten password from a local database or ZIP file, run a CTF hash challenge, or audit the strength of hashes from a system they own.

Lead teams effectively using proven frameworks — set clear intent, reduce communication overhead, create psychological safety, and use forcing functions to drive results. Use when: managing teams, improving team collaboration, setting goals and accountability.

Discover and install AI agent skills from terminalskills.io. Use when the user asks for a capability the agent does not already have a skill for — search the catalog by keyword, category, or tag; inspect a skill before installing; install for the current agent (Claude Code, Codex, Gemini CLI, Cursor); or browse via the public REST API or MCP server. Trigger words: "install skill", "find a skill for", "browse skills", "terminal-skills", "search the skill catalog".

Apply the Google Cloud Well-Architected Framework's Security pillar — security by design, zero trust with IAP and BeyondCorp, shift-left scanning in CI/CD, Binary Authorization, VPC Service Controls, Cloud Armor, Sensitive Data Protection, and Security Command Center. Use for security architecture reviews, hardening checklists, and compliance evaluations.

Grow a business sustainably without burning out — focus on profitability, retention, and organic growth over vanity metrics. Use when: planning growth strategy, avoiding premature scaling, building a profitable business.

Orchestrate multi-agent Claude Code teams — assign roles, coordinate parallel tasks, share context between agents, and manage team workflows. Use when: running multiple Claude Code agents simultaneously, building team-based AI development workflows, coordinating complex multi-agent coding projects.

Generate professional reports with charts, tables, visualizations, and structured narratives. Covers data-driven PDF/HTML reports, weekly status reports, executive summaries, and recurring team updates. Use when a user asks to create a report, generate a data report, build a dashboard report, write a weekly report, create a status update, or produce a team progress report.

Apply systems thinking to business problems — identify constraints, understand feedback loops, anticipate second-order effects, and improve processes. Use when: diagnosing why a business process is broken, optimizing operations, understanding complex system behavior.

Google Cloud Vertex AI for enterprise Gemini deployments — production scaling, fine-tuning, and MLOps. Use when deploying Gemini in GCP-native environments, running fine-tuning jobs, needing enterprise IAM controls, VPC isolation, batch prediction at scale, or production ML pipelines on Google Cloud.

Write and run Blender Python scripts for 3D automation and procedural modeling. Use when the user wants to automate Blender tasks, create 3D models from code, run headless scripts, manipulate scenes, batch process .blend files, build geometry with bmesh, apply modifiers, generate procedural shapes, or import/export 3D models using the bpy API.

Evaluate market opportunities before building — assess demand, competition, margins, and timing using Personal MBA's proven 10-factor framework. Use when: evaluating a new business idea, deciding which market to enter, assessing product-market fit potential.

Evaluate business decisions through the minimalist entrepreneur framework — community focus, simplicity, and profitability over growth theater. Use when: weighing a business decision, avoiding over-engineering a strategy, keeping a startup lean and intentional.

Generate short-form videos with AI — script writing, text-to-speech narration, stock footage selection, subtitle generation, and video assembly. Use when: creating TikTok/YouTube Shorts/Reels content, automating video production, building content pipelines.

Automate invoice generation, billing workflows, payment tracking, and revenue recognition for SaaS and service businesses. Use when building billing pipelines, generating invoice PDFs, usage-based invoicing, subscription management, payment reminders, or financial reporting. Trigger words: invoice, billing, payment, subscription, usage billing, revenue recognition, accounts receivable, dunning, proration, Stripe billing, generate invoice, create bill.

AI agent for building, running, and debugging iOS apps on simulator via XcodeBuildMCP. Use when: running iOS apps, inspecting simulator UI, capturing logs, or diagnosing runtime behavior.

Use Lightpanda headless browser optimized for AI agents — fast, lightweight, designed for web scraping and automation at scale. Use when: building AI web scrapers, automating web tasks with agents, running headless browsing in resource-constrained environments.

Build offline-capable AI systems with local models, embedded knowledge bases, and no internet dependency. Use when: building AI tools for offline use, creating self-contained knowledge systems, deploying AI in air-gapped environments.

Parse PDFs into AI-ready structured data — extract text, tables, images, and metadata with high accuracy. Use when: processing PDF documents for RAG, extracting data from invoices/contracts, building document processing pipelines.

Integrate AI applications with RouterBase as an OpenAI-compatible gateway. Use when a user wants to migrate OpenAI SDK calls to RouterBase, configure ROUTERBASE_API_KEY, choose model IDs, design model fallback routes, call chat completions, stream responses, use tool calling or JSON mode, or generate image, video, or audio media through RouterBase endpoints.

Build swarm intelligence systems where multiple AI agents collaborate to make predictions and solve complex problems. Use when: implementing ensemble AI predictions, building consensus-based decision systems, creating multi-agent prediction markets.

Meta-skill for discovering and invoking the right agent skill for any task. Use when starting a session, when unsure which skill applies, or when you need to understand the development lifecycle and how skills chain together. Covers skill discovery, core operating behaviors, and failure modes to avoid.

Generate App Store release notes from git history. Use when: creating release changelogs, App Store 'What's New' text, or summarizing changes since last tag.

Reconstructs the workflow behind a past artifact by querying local ax session, recall, and commit history data. Use when a user asks "what made X work", "how was Y shipped/built", "extract workflow from <date|sha>", "workflow around <topic>", "recipe for this feature", or similar. It finds the anchor session or commit, inspects ax sessions, ax recall, and ax sessions show, and returns an ordered read-only narrative with decisions and evidence.

Simplifies code for clarity without changing behavior. Use when refactoring for readability, when code works but is harder to maintain than it should be, or when reviewing code that has accumulated unnecessary complexity. Covers the five principles, simplification process, and language-specific guidance.

Optimizes agent context setup for maximum output quality. Use when starting a new session, when agent output quality degrades, when switching between tasks, or when configuring rules files and context for AI-assisted development. Covers the context hierarchy, packing strategies, and confusion management.

Apply the Google Cloud Well-Architected Framework's Reliability pillar — define user-centric SLOs, eliminate single points of failure with multi-zone/region redundancy, configure horizontal autoscaling, observability via Cloud Monitoring, graceful degradation patterns, DR testing, and blameless postmortems. Use for production readiness reviews and SRE practices.

Offload tasks to local LLMs via LM Studio. Use when a user asks to run local models with LM Studio, save API costs by using local LLMs, create subagents with local models, offload summarization or classification to a local model, or use LM Studio's API for batch processing. Covers local model inference, task delegation, and cost optimization.

Analyze a project and recommend highest-value skills to create or update. Use when: auditing project skills, getting skill recommendations, or reviewing existing skill coverage.

Comprehensive SwiftUI UI patterns with example-driven guidance. Use when: building SwiftUI views, designing navigation, creating custom modifiers, composing layouts, or needing component-specific patterns.

Master value-based selling techniques — price based on customer value, reduce barriers to purchase, and close deals through education rather than pressure. Use when: setting prices for a product/service, improving conversion rates, training sales teams.

Implement iOS 26+ Liquid Glass design in SwiftUI. Use when: adopting Liquid Glass API, refactoring existing UI to Liquid Glass, or reviewing Liquid Glass usage.

Refactor SwiftUI views for better architecture with MV patterns. Use when: cleaning up SwiftUI views, splitting long bodies, standardizing Observable usage, or removing inline side effects.

Records architectural decisions and documentation. Use when making architectural decisions, changing public APIs, shipping features, or when you need to record context that future engineers and agents will need to understand the codebase. Covers ADRs, inline docs, API docs, READMEs, and changelogs.

Automate online content creation and monetization with AI — blog posts, videos, social media, affiliate marketing, and digital products. Use when: building passive income streams with AI, automating content marketing, scaling content production.

Build macOS menubar apps with Tuist and SwiftUI. Use when: creating LSUIElement menubar utilities, defining Tuist manifests, or building menubar apps without Xcode-first workflows.

Scaffold, build, and package SwiftPM-based macOS apps without Xcode project. Use when: creating macOS app bundles from SPM, signing, notarizing, or building appcasts.

Run authorized red team social engineering assessments with the Social Engineer Toolkit (SET). Use when a user asks to simulate a phishing campaign for security awareness training, clone a login page for a sanctioned exercise, or test an organization's human-layer defenses under a signed engagement.

Operate Sequenzy email marketing from an AI agent. Use when a user asks to manage SaaS email campaigns, subscribers, lists, segments, templates, lifecycle sequences, transactional email, delivery stats, or AI-generated email copy with Sequenzy. Prefer the Sequenzy CLI or API, inspect before mutation, and surface dashboard review URLs for created campaigns or sequences.

Swift Concurrency review and remediation for Swift 6.2+. Use when: reviewing async/await usage, fixing concurrency compiler errors, adding Sendable conformance, or migrating to structured concurrency.

Apply the Google Cloud Well-Architected Framework's Cost Optimization pillar to evaluate workloads and recommend FinOps practices — billing exports, budgets, rightsizing via Active Assist, Spot VMs, Committed Use Discounts, storage lifecycle policies, and serverless adoption. Use for cloud cost reviews, monthly billing analysis, and architecture cost decisions.

Build multi-agent AI systems with Microsoft's Agent Framework (formerly Semantic Kernel Agents). Use when: defining AI agents, orchestrating multi-agent workflows (sequential, parallel, conditional), creating custom agents in Python or .NET, using built-in agents (ChatCompletion, OpenAI Assistant), deploying agent systems, or comparing agent orchestration patterns.

Audit and optimize SwiftUI runtime performance. Use when: diagnosing slow rendering, janky scrolling, excessive view updates, or high CPU/memory usage in SwiftUI apps.

Delivers changes incrementally in thin vertical slices. Use when implementing any feature or change that touches more than one file, when you're about to write a large amount of code at once, or when a task feels too big to land in one step. Each increment leaves the system in a working, testable state.

Plan and execute large refactor efforts with parallel multi-agent analysis. Use when: refactoring many files, splitting workstreams, or coordinating sub-agents for batch code changes.

Apply proven mental models to boost personal and team productivity — focus techniques, decision frameworks, and task management principles. Use when: improving personal productivity, making better decisions faster, coaching teams on effective work habits.

Investigate Google Cloud networking issues by analyzing VPC Flow Logs, firewall logs, Cloud NAT logs, threat logs, and networking metrics. Run Connectivity Tests for path diagnostics and use BigQuery linked datasets for high-volume traffic analysis. Use when troubleshooting connection failures, latency, packet loss, or top-talkers.

Understand essential business finance — profit margins, unit economics, cash flow, LTV/CAC, and the 4 methods to increase revenue. Use when: analyzing business profitability, making pricing decisions, evaluating SaaS unit economics, financial planning.

Optimize a website to be discovered, cited, and recommended by AI search engines — ChatGPT, Claude, Perplexity, Google AI Overviews, and Gemini. Use this for Generative Engine Optimization (GEO / AEO / "AI SEO"): scoring content citability, checking AI crawler access in robots.txt (GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot), auditing or generating an llms.txt file, validating schema for entity recognition, assessing brand authority signals, and producing a GEO audit report. Trigger on "GEO," "AI search optimization," "get cited by ChatGPT/Perplexity," "llms.txt," "AI crawlers," "AI Overviews," "citability." This is about generative AI search visibility, NOT geographic/geolocation. For traditional keyword ranking see seo-audit; for structured data see schema-markup.