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Found 224 Skills
Provides comprehensive guidance for Bootstrap Vue 3 component library including Bootstrap components, grid system, utilities, and Vue 3 integration. Use when the user asks about Bootstrap Vue 3, needs to use Bootstrap components in Vue 3, or implement responsive layouts.
Use this skill when the user needs to set up bookkeeping, track revenue and expenses, prepare for taxes, choose accounting software, understand SaaS revenue recognition, or manage the financial operations of their bootstrapped business. Covers bookkeeping setup, tax preparation, accounting tools, and financial hygiene for solo founders.
Bootstrap skill — teaches the agent how to find and invoke skills. Use when starting any new task or session.
This skill should be used when the user asks about Bootstrap components, "how to create a modal", "navbar not collapsing", "carousel autoplay", "responsive card grid", "toast notifications", "dropdown menu", "accordion FAQ", "offcanvas sidebar", "tab navigation", "tooltip not showing", "popover not working", Bootstrap accordion, alerts, badges, breadcrumb, buttons, button groups, cards, carousel, close button, collapse, dropdowns, list group, modal, navbar, navs and tabs, offcanvas, pagination, placeholders, popovers, progress, scrollspy, spinners, toasts, tooltips, or needs help implementing any Bootstrap UI component.
Opt-in recreation of the Bun + TypeScript framework used to build Vapi's landing-page voice agents from a ROUGH_DRAFT.md spec, including a scenario registry, language stacks, prompt composer, assistant builder, and idempotent bootstrap script. Use only when the user explicitly invokes vapi-bootstrap-framework or specifically asks to reproduce or experiment with the landing-page-agent architecture. Do not use for ordinary Vapi assistant builds; use create-assistant, create-tool, create-squad, and vapi-prompt-builder instead. Targets Bun + TypeScript + @vapi-ai/server-sdk.
Generate a smart bootstrap prompt to continue the current conversation in a fresh session. Use when (1) approaching context limits, (2) user says "handoff", "bootstrap", "continue later", "save session", or similar, (3) before closing a session with unfinished work, (4) user wants to resume in a different environment. Outputs a clipboard-ready prompt capturing essential context while minimizing tokens.
This skill should be used when the user asks to "create a bootstrap prompt", "handoff", "save session state", "continue in new session", "create handoff", "session summary for continuation", "bootstrap for fresh session", or wants to capture the current session state for resumption in a new Claude Code session.
Generate a smart bootstrap prompt to continue the current conversation in a fresh session. Use when (1) approaching context limits, (2) user says "handoff", "bootstrap", "continue later", "save session", or similar, (3) before closing a session with unfinished work, (4) user wants to resume in a different environment. Outputs a clipboard-ready prompt capturing essential context while minimizing tokens.
Generate Odoo app store description pages (static/description/index.html) that comply with the official Odoo Apps Store guidelines. Use when creating, editing, or reviewing the static/description/index.html of a Lema Core Odoo module. Produces a tabless, JavaScript-free, Bootstrap 4 compliant page with Hero, Brand Banner, Demo Preview, Screenshots, Features, Architecture, Changelog, FAQ, Related Products, and Footer sections.
Web development guidelines covering Bootstrap, Django, HTMX, and general web best practices
This skill should be used when the user asks to "bootstrap few-shot examples", "generate demonstrations", "use BootstrapFewShot", "optimize with limited data", "create training demos automatically", mentions "teacher model for few-shot", "10-50 training examples", or wants automatic demonstration generation for a DSPy program without extensive compute.
This skill should be used when the user asks to "fine-tune a DSPy model", "distill a program into weights", "use BootstrapFinetune", "create a student model", "reduce inference costs with fine-tuning", mentions "model distillation", "teacher-student training", or wants to deploy a DSPy program as fine-tuned weights for production efficiency.