michaelboeding
@michaelboeding
Public Skills
chart-generation
by michaelboeding
Use this skill for generating data-driven charts and visualizations using Python. Triggers: "create chart", "generate graph", "plot data", "visualize data", "bar chart", "line chart", "pie chart", "comparison chart", "positioning matrix", "trend chart", "market size chart", "TAM SAM SOM", "growth chart", "data visualization" Outputs: PNG/SVG chart images with accurate data representation. Used by: competitive-intel-agent, market-researcher-agent, pitch-deck-agent, review-analyst-agent
brand-research-agent
by michaelboeding
Use this skill to analyze a brand from their website before creating content. Triggers: "analyze brand", "research brand", "brand guidelines", "brand profile", "understand brand", "brand colors", "brand voice", "before creating content for" Extracts: colors, typography, voice/tone, products, audience, competitive positioning. Outputs a reusable brand_profile.json that producer skills can use.
voice-generation
by michaelboeding
Use this skill for AI text-to-speech generation. Triggers include: "generate voice", "create audio", "text to speech", "TTS", "read this aloud", "generate narration", "create voiceover", "synthesize speech", "podcast audio", "dialogue audio", "multi-speaker", "audiobook" Supports Google Gemini TTS, ElevenLabs, and OpenAI TTS.
music-generation
by michaelboeding
Use this skill for AI music generation. Triggers include: "generate music", "create a song", "make music", "compose", "create a beat", "generate audio", "make a soundtrack", "create a jingle", "instrumental music", "background music", "lo-fi beats", "electronic music" Supports vocals (Suno/Udio) and instrumental-only (Google Lyria).
style-guide
by michaelboeding
Analyze a codebase to extract its conventions, patterns, and style. Spawns specialized analyzer agents that each focus on one aspect (structure, naming, patterns, testing, frontend). Generates a comprehensive style guide that other skills can reference. Use when starting work on an unfamiliar codebase, or to create explicit documentation of implicit conventions.
ios-to-android
by michaelboeding
Use iOS/Swift code as the source of truth and implement the equivalent feature in Android/Kotlin. Understands the feature behavior, data structures, and logic from iOS, then creates idiomatic Android code that matches the target codebase's existing patterns. Use when porting features from iOS to Android or ensuring platform consistency.
parallel-builder
by michaelboeding
Divide-and-conquer implementation from specs/plans. Decomposes a reference document into independent tasks, assigns each to a builder agent, executes in parallel waves respecting dependencies, then integrates results. Use when you have a spec, PRD, plan, or large feature to implement quickly with parallel execution.
feature-council
by michaelboeding
Multi-agent feature implementation. Spawns independent solver agents that each implement the feature from scratch, then synthesizes the best elements from each. Use when building complex features where you want diverse approaches and comprehensive edge case coverage.
debug-council
by michaelboeding
Research-aligned self-consistency for debugging. Spawns independent solver agents that each explore and debug the problem from scratch. Uses majority voting. Based on "Self-Consistency Improves Chain of Thought Reasoning" (Wang et al., 2022). Use for critical bugs, algorithms, or when other approaches have failed.
model-council
by michaelboeding
This skill should be used when the user asks for "model council", "multi-model", "compare models", "ask multiple AIs", "consensus across models", "run on different models", or wants to get solutions from multiple AI providers (Claude, GPT, Gemini, Grok) and compare results. Orchestrates parallel execution across AI models/CLIs and synthesizes the best answer.