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LLM & AI

Large Language Models and AI agents.

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llm-ai

11

brainstorm-diverge-converge

Use when you need to generate many creative options before systematically narrowing to the best choices. Invoke when exploring product ideas, solving open-ended problems, generating strategic alternatives, developing research questions, designing experiments, or when you need both breadth (many ideas) and rigor (principled selection). Use when user mentions brainstorming, ideation, divergent thinking, generating options, or evaluating alternatives.

lyndonkl

data-ai

llm-ai

11

litellm

When calling LLM APIs from Python code. When connecting to llamafile or local LLM servers. When switching between OpenAI/Anthropic/local providers. When implementing retry/fallback logic for LLM calls. When code imports litellm or uses completion() patterns.

Jamie-BitFlight

data-ai

llm-ai

11

tool-design

Create custom tools using the @tool decorator for domain-specific agents. Use when building agent-specific tools, implementing MCP servers, or creating in-memory tools with the Agent SDK.

melodic-software

data-ai

llm-ai

11

self-improve-prompt-design

Write self-improve prompts that sync expertise files with codebase reality. Use when creating maintenance workflows for agent experts, designing validation logic, or implementing the LEARN step of Act-Learn-Reuse.

melodic-software

data-ai

llm-ai

11

gemini-token-optimization

Optimize token usage when delegating to Gemini CLI. Covers token caching, batch queries, model selection (Flash vs Pro), and cost tracking. Use when planning bulk Gemini operations.

melodic-software

data-ai

llm-ai

11

foundation-models

On-device LLM integration using Apple's Foundation Models framework. Use when implementing AI text generation, structured output, or tool calling.

rshankras

data-ai

llm-ai

11

workflow-router

Determine next agent based on state machine rules. Use AFTER receiving any BAZINGA agent response to decide what to do next.

mehdic

data-ai

llm-ai

11

prompt-builder

Build complete agent prompts deterministically via Python script. Use BEFORE spawning any BAZINGA agent (Developer, QA, Tech Lead, PM, etc.).

mehdic

data-ai

llm-ai

11

piter-setup

Set up PITER framework elements for AFK agent systems. Use when configuring prompt input sources, triggers, environments, and review processes for autonomous agent workflows.

melodic-software

data-ai

llm-ai

11

ethics-review

AI and technology ethics review including ethical impact assessment, stakeholder analysis, and responsible innovation frameworks

melodic-software

data-ai

llm-ai

11

rag-architecture

Retrieval-Augmented Generation (RAG) system design patterns, chunking strategies, embedding models, retrieval techniques, and context assembly. Use when designing RAG pipelines, improving retrieval quality, or building knowledge-grounded LLM applications.

melodic-software

data-ai

llm-ai

11

remember

record context that would help in future sessions. use after learning something, discovering a gotcha, or making a decision worth preserving. test: would a future agent starting fresh benefit from knowing this?

bdsqqq

data-ai

llm-ai

11

agent-lifecycle-management

Manage agent fleet through CRUD operations and lifecycle patterns. Use when creating, commanding, monitoring, or deleting agents in multi-agent systems, or implementing proper resource cleanup.

melodic-software

data-ai

llm-ai

11

rounds

iterate with spawned agents until stable. use for verification with BOUNDED scope and explicit exit criteria. NOT for generating opinions to reconcile.

bdsqqq

data-ai

llm-ai

10

business-profile-creator

Create comprehensive business context profiles through guided interview. Use when the user wants to build or update their business profile, needs help defining their offerings, positioning, or brand identity.

az9713

data-ai

llm-ai

10

icp-creator

Create detailed Ideal Client Profile through guided interview. Use when the user needs to define their target audience, understand their customers' problems and language, or build an ICP for content targeting.

az9713

data-ai

llm-ai

10

skill-finder

Find and evaluate Claude skills for specific use cases using semantic search, Anthropic best practices assessment, and fitness scoring. Use when the user asks to find skills for a particular task (e.g., "find me a skill for pitch decks"), not for generic "show all skills" requests.

tenequm

data-ai

llm-ai

10

view-results

View and analyze Hawk evaluation results. Use when the user wants to see eval-set results, check evaluation status, list samples, view transcripts, or analyze agent behavior from a completed evaluation run.

METR

data-ai

llm-ai

10

engineering-prompts

Engineers effective prompts using systematic methodology. Use when designing prompts for Claude, optimizing existing prompts, or balancing simplicity, cost, and effectiveness. Applies progressive disclosure and empirical validation to prompt development.

dhruvbaldawa

data-ai

llm-ai

10

writing-like-me

Write content in Dhruv Baldawa's authentic voice and style. Use when creating blog posts, LinkedIn posts, emails, documentation, technical writing, opinion pieces, or any written content that should sound like Dhruv. Triggers on requests like "write this as me", "draft in my voice", "write a blog post", "create a LinkedIn post", "help me write", or any content creation where the user wants their personal voice applied.

dhruvbaldawa

data-ai

llm-ai

10

voice-dna-creator

Analyze writing samples to create a comprehensive voice DNA profile. Use when the user wants to capture their unique writing voice, needs to create a voice profile for AI content, or is setting up a new writing system.

az9713

data-ai

llm-ai

10

article-images

This skill should be used when the user asks to "generate article images", "create images for an article", "run image generation", "generate illustrations from prompts", or mentions article hero images, prompt markdown files, or batch image generation.

intertwine

data-ai

llm-ai

10

article-humanizer

Edit articles to read more naturally by removing LLM-generated prose patterns. Use this skill when asked to "humanize an article", "make writing sound more natural", "remove AI patterns", "edit for natural voice", or when working with drafts in articles/drafts/ that need polish.

intertwine

data-ai

llm-ai

10

skill-security-analyzer

Comprehensive security risk analysis for Claude skills. Use when asked to analyze security risks, review security stance, audit skills for vulnerabilities, check security before deployment, or evaluate safety of skill files. Triggers include "analyze security," "security risks," "security audit," "security review," "is this skill safe," or "check for vulnerabilities."

Exploration-labs

data-ai

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