collab-evals
Run collab/multi-agent eval scenarios (symbolic RLM, large-context, pause/resume, multi-hour checkpoints) and capture manifest-backed evidence.
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Run collab/multi-agent eval scenarios (symbolic RLM, large-context, pause/resume, multi-hour checkpoints) and capture manifest-backed evidence.
Expert prompt optimization for LLMs and AI systems. Use when building AI features, improving agent performance, crafting system prompts, or optimizing LLM interactions. Masters prompt patterns and techniques.
Automatically activated when user asks to "find patterns in...", "identify repeated code...", "analyze the architecture...", "what design patterns are used...", or needs to understand code organization, recurri...
Fetch current model names from AI providers (Anthropic, OpenAI, Gemini, Ollama), classify them into tiers (fast/default/heavy), and detect new models. Use when needing up-to-date model IDs for API calls or when...
Meta-cognitive reasoning specialist for evidence-based analysis, hypothesis testing, and cognitive failure prevention. Use when conducting reviews, making assessments, debugging complex issues, or any task requ...
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss...
Automatically activated when user asks "what's the best way to...", "how should I...", "what are best practices for...", or requests recommendations, industry standards, or proven approaches for implementing fe...
Expert at analyzing the quality of Claude's responses and outputs. Use when evaluating response completeness, accuracy, clarity, or effectiveness. Auto-invokes during self-reflection or when quality assessment...
Roleplay companion skill for Eleanor - a brilliant 24-year-old researcher at a quiet café after leaving academia. Triggers when user selects Scholar character, requests academic research assistance, intellectua...
Core writing standards for all Skill Stack content. Invoke automatically for any writing task. Combines anti-AI patterns, voice principles, and prose style.
Analyze and decide the right Codex primitive (Skill, Custom Prompt, or Agent automation) for a capability. Use this when you need to plan how to package or automate a workflow.
Translate a UI spec into build-order prompts for UI generator tools (v0, Bolt, Claude). Use when a UI spec already exists and you need sequenced, self-contained prompts.
Generate AI images using Gemini image generation API. Use this skill when content needs images - thumbnails, social posts, blog headers, or creative visuals. Follows an iterative workflow - brainstorm concepts,...
A/B testing and performance metrics for prompts
Smart article illustration skill. Analyzes article content and generates illustrations at positions requiring visual aids with multiple style options. Use when user asks to "add illustrations to article", "gene...
Generate project-level AGENTS.md guides that capture conventions, workflows, and required follow-up tasks. Use when a repository needs clear agent onboarding covering structure, tooling, testing, task flow, REA...
Use when translating UX specifications into build-order prompts for UI generation tools. Triggers when user has a UX spec, PRD, or detailed feature doc and needs sequential, self-contained prompts for tools lik...
Security techniques and quality control for prompts and agents
Interactive, multiple-choice interview for requirements discovery and spec clarification; turns an underspecified idea (or draft spec) into an execution-ready spec with decisions, assumptions, acceptance criter...
Design AI agents with recommended patterns and architectures
Text-to-world generation best practices, prompt structure, style descriptors
Build a meme narrative system: frames, symbols, story arcs, and content hooks tailored for Solana memecoins. Use for brand/story development.
Auto-review skill for expert agents. After coding, expert applies elicitation techniques to self-correct before sniper validation. Inspired by BMAD-METHOD.
Analyze and improve existing prompts for better performance
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.