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Agent Skills, and what they let an agent do
Read straight from each publisher's repository. For every skill: what it allows the agent to do, the scripts it ships, and what fixed checks matched. Nothing is run.
Skills from Daniel Avila150
Clear filters- Claude Code GuideDaniel AvilaMaster guide for using Claude Code effectively. Includes configuration templates, prompting strategies "Thinking" keywords, debugging techniques, and best practices for interacting with the agent.Instructions only
- ab-test-setupDaniel AvilaWhen the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see anal…Instructions only
- agent-evaluationDaniel AvilaTesting and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark ag…Instructions only1 high finding
- agent-managementDaniel AvilaCreate, manage, and orchestrate AI agents using the AI Maestro CLI. Use when the user asks to "create agent", "list agents", "delete agent", "hibernate agent", "wake agent", "install plugin", "show agent", "restart agent", or any agent lifecycle management tas…Instructions only
- agent-manager-skillDaniel AvilaManage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.Instructions only
- agent-memory-mcpDaniel AvilaA hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).Instructions only
- agent-memory-systemsDaniel AvilaMemory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key…Instructions only1 high finding
- agent-messagingDaniel AvilaSend and receive cryptographically signed messages between AI agents using the Agent Messaging Protocol (AMP). Use when the user asks to "send a message to an agent", "check agent inbox", "message another agent", "reply to a message", "notify an agent", or any…Instructions only
- agent-tool-builderDaniel AvilaTools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.…Instructions only
- agile-product-ownerDaniel Avila · 1 scriptAgile product ownership toolkit for Senior Product Owner including INVEST-compliant user story generation, sprint planning, backlog management, and velocity tracking. Use for story writing, sprint planning, stakeholder communication, and agile ceremonies.Runs commands
- ai-agents-architectDaniel AvilaExpert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool use, function calling.Instructions only1 high finding
- ai-directory-submitterDaniel AvilaLists an AI product on free AI directories, launch sites and MCP or agent directories, one at a time, from FalcoScan's checked list of free directories, and keeps a record of each submission. Use when the user wants to list, launch or promote an AI tool, SaaS,…Reaches the network
- ai-productDaniel AvilaEvery product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimi…Instructions only1 high finding
- ai-release-hunterDaniel AvilaDaily digest of AI releases from Anthropic, Meta, Vercel Labs, OpenAI and Google GitHub repos, the Claude Cowork changelog, the claude.dev blog and Hacker News, deduplicated against a local state file and sent by email. Use when the user asks for a daily AI ne…Reaches the networkRuns commandsEdits files
- ai-wrapper-productDaniel AvilaExpert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into focused tools people will pay for. Not just 'ChatGPT but different' - products that solve specific problems with AI. Covers prompt engineering for products, cost management, rate limi…Instructions only1 high finding
- analytics-trackingDaniel AvilaWhen the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics imple…Instructions only
- app-builderDaniel AvilaMain application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.Runs commandsEdits files
- app-store-optimizationDaniel Avila · 8 scriptsComplete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play StoreRuns commands
- audiocraft-audio-generationDaniel AvilaPyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen). Use when you need to generate music from text descriptions, create sound effects, or perform melody-conditioned music generation.Instructions only
- autogpt-agentsDaniel AvilaAutonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems.Instructions only1 high finding
- autonomous-agent-patternsDaniel AvilaDesign patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use when building AI agents, designing tool APIs, implementing permission systems, or creating autonomous c…Destructive commands1 high finding
- autonomous-agentsDaniel AvilaAutonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure…Instructions only1 high finding
- awq-quantizationDaniel AvilaActivation-aware weight quantization for 4-bit LLM compression with 3x speedup and minimal accuracy loss. Use when deploying large models (7B-70B) on limited GPU memory, when you need faster inference than GPTQ with better accuracy preservation, or for instruc…Instructions only
- axolotlDaniel AvilaExpert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal supportInstructions only
- behavioral-modesDaniel AvilaAI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.Instructions only1 high finding
- blip-2-vision-languageDaniel AvilaVision-language pre-training framework bridging frozen image encoders and LLMs. Use when you need image captioning, visual question answering, image-text retrieval, or multimodal chat with state-of-the-art zero-shot performance.Instructions only
- brand-guidelinesDaniel AvilaApplies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.Instructions only
- brand-guidelinesDaniel AvilaApplies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.Instructions only
- chromaDaniel AvilaOpen-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or docum…Instructions only
- clipDaniel AvilaOpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Bes…Instructions only
- computer-use-agentsDaniel AvilaBuild AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives. Critical focus on sandboxing, security, and …Instructions only1 high finding
- constitutional-aiDaniel AvilaAnthropic's method for training harmless AI through self-improvement. Two-phase approach - supervised learning with self-critique/revision, then RLAIF (RL from AI Feedback). Use for safety alignment, reducing harmful outputs without human labels. Powers Claude…Instructions only
- context-window-managementDaniel AvilaStrategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token limit, context management, context engineering, long context.Instructions only
- context7-auto-researchDaniel AvilaAutomatically fetch latest library/framework documentation for Claude Code via Context7 APIInstructions only
- conversation-memoryDaniel AvilaPersistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat history.Instructions only1 high finding
- crewaiDaniel AvilaExpert in CrewAI - the leading role-based multi-agent framework used by 60% of Fortune 500 companies. Covers agent design with roles and goals, task definition, crew orchestration, process types (sequential, hierarchical, parallel), memory systems, and flows f…Instructions only
- crewai-multi-agentDaniel AvilaMulti-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hie…Instructions only
- data-engineerDaniel AvilaBuild scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.Instructions only
- data-scientistDaniel AvilaExpert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.Instructions only
- datadog-cliDaniel AvilaDatadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.Instructions only
- deep-researchDaniel AvilaRun autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.Instructions only
- deep-research-notebooklmDaniel AvilaDeep research skill powered by NotebookLM MCP. Conducts structured multi-source research (market analysis, competitive intel, trend analysis, prospect research) using Google NotebookLM as the research engine, then delivers formatted briefs and optional studio …Instructions only
- deepspeedDaniel AvilaExpert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, sparse attentionInstructions only
- dispatching-parallel-agentsDaniel AvilaUse when facing 2+ independent tasks that can be worked on without shared state or sequential dependenciesInstructions only
- distributed-llm-pretraining-torchtitanDaniel AvilaProvides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or custom models at scale from 8 to 512+ GPUs with Float8, torch.compile, and distributed checkpointing.Instructions only
- docs-searchDaniel AvilaSearch auto-generated codebase documentation for function signatures, API docs, class definitions, and code comments. Use when the user asks to "search docs", "find documentation", "look up a function", "check the API", or before implementing changes to verify…Instructions only
- dspyDaniel AvilaBuild complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programmingInstructions only
- evaluating-code-modelsDaniel AvilaEvaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics. Use when benchmarking code models, comparing coding abilities, testing multi-language support, or measuring code generation quality. Industry standard f…Instructions only
Labels come from the skill's own files, read on the date shown: the tools its frontmatter allows and the scripts it ships. They are not a safety rating, and no finding is not a safety guarantee. How skills are checked.