All Skills

--- name: concept-scaffolding description: Design progressive concept scaffolding with cognitive load management. Use when breaking down complex concepts into learnable steps for educational content. --- # Concept Scaffolding Skill v3.0 (Reasoning-Activated) **Version**: 3.0.0 **Pattern**:

Provides patterns to deploy ECS tasks and services with GitHub Actions CI/CD. Use when building Docker images, pushing to ECR, updating ECS task definitions, deploying ECS services, integrating with CloudFormation stacks, configuring AWS OIDC authentication for GitHub Actions, and implementing production-ready container deployment pipelines. Supports ECS deployments with proper security (OIDC or IAM keys), multi-environment support, blue/green deployments, ECR private repositories with image scanning, and CloudFormation infrastructure updates.

--- name: helm-chart-architect version: "1.0.0" description: | Design production-grade Helm charts through architectural reasoning rather than pattern retrieval. Activate when designing new Helm charts for Kubernetes deployments, evaluating chart architecture, making decisions about comp

Automate Jira tasks via Rube MCP (Composio): issues, projects, sprints, boards, comments, users. Always search tools first for current schemas.

Convert audio files between formats (MP3, WAV, FLAC, OGG, M4A) with bitrate and sample rate control. Batch processing supported.

This skill should be used when the user asks "find code that does X", "search for X", "where is X implemented", "what handles X", "find the X logic", "search by meaning", "semantic search", or needs to find code by concept or intent rather than exact text matching.

Automate Chatbotkit tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate LinkedIn tasks via Rube MCP (Composio): create posts, manage profile, company info, comments, and image uploads. Always search tools first for current schemas.

Automate Cloudlayer tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Cloudcart tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Claid AI tasks via Rube MCP (Composio). Always search tools first for current schemas.

This skill should be used when the user asks to "convert MCP to skill", "create skill from MCP", "list MCP servers", "batch convert MCP", "generate skills from .mcp.json", or when working with MCP server configurations. Reduces context usage by 90%+ compared to native MCP loading.

--- name: exercise-designer description: | Designs deliberate practice exercises applying evidence-based learning strategies like retrieval practice, spaced repetition, and interleaving. Activate when educators need varied exercise types (fill-in-blank, debug-this, build-from-scratch, ext

--- name: learning-objectives description: | Generate measurable learning outcomes aligned with Bloom's taxonomy and CEFR proficiency levels for educational content. Use this skill when educators need to define what students will achieve, create learning objectives for curriculum planning

Automate Certifier tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Google Analytics tasks via Rube MCP (Composio): run reports, list accounts/properties, funnels, pivots, key events. Always search tools first for current schemas.

Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.

Automate Google Calendar events, scheduling, availability checks, and attendee management via Rube MCP (Composio). Create events, find free slots, manage attendees, and list calendars programmatically.

Use when writing prose humans will read—documentation, commit messages, error messages, explanations, reports, or UI text. Applies Strunk's timeless rules for clearer, stronger, more professional writing.

LangChain memory integration including ConversationBufferMemory, ConversationSummaryMemory, and vector-based memory

--- name: algolia-search description: Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuningUse when "adding search to, algolia, instantsearch, search api, search functionality, typeahead, autocomplete search, faceted search, search index,

# Feature Intake Parse and normalize features from text descriptions, images, and screenshots into structured requirements. ## Agent Feature Planner - `automaker-feature-planner` ## Workflow 1. Parse feature title and description text 2. Analyze attached images and screenshots for UI requirements

--- name: image-generator description: | Generate professional visuals using Gemini via browser automation with 6-gate quality control. Use when creating chapter illustrations, diagrams, or teaching visuals. NOT for stock photos or decorative images. dependencies: - browser-use ---

--- name: prompt-template-designer description: | Design reusable prompt templates that encode domain-specific patterns for recurring AI tasks. Use when you've executed similar prompts 2+ times and need to capture the pattern as reusable intelligence. NOT for one-off prompts or generic "a