all-skills

Plugin all-skills from marketplace googleadsagent-skills in itallstartedwithaidea/agent-skills. Commands read from the repo's manifest — 1 month ago.

Skills (73)

• continuous-learning

  Continuous Learning enables agents to automatically extract successful patterns from completed sessions and codify them into reusable skills, rules, and prompt refinements.

• entity-memory-management

  Entity Memory Management is the systematic extraction, persistence, and retrieval of named entities across agent sessions, enabling long-term contextual awareness that transforms transient conversations into persistent relationships.

• knowledge-base-injection

  Knowledge Base Injection is the technique of dynamically injecting domain expertise into an agent's context at the moment it is most relevant, using TF-IDF pattern matching and semantic scoring.

• long-horizon-workflows

  Long-Horizon Workflows enable AI agents to execute multi-hour, multi-phase autonomous pipelines that far exceed the scope of a single conversation turn.

• mcp-server-creation

  MCP Server Creation is the skill of building Model Context Protocol servers that expose tools, resources, and capabilities to AI agents through a standardized interface.

• memory-persistence

  Memory Persistence enables AI agents to maintain knowledge across sessions, transforming stateless inference calls into stateful, continuously improving systems.

• multi-model-routing

  Multi-Model Routing is the intelligent dispatch of agent tasks to the optimal model provider based on task characteristics, cost constraints, latency requirements, and availability.

• parallel-agent-orchestration

  Parallel Agent Orchestration is the discipline of dispatching, coordinating, and aggregating results from multiple concurrent subagents to dramatically accelerate complex tasks.

• proactive-intelligence

  Proactive Intelligence enables agents to autonomously seek out external information — web searches, API re-pulls, data freshness checks — during analysis without waiting for explicit user requests

• token-optimization

  Token Optimization is the systematic reduction of token expenditure across agent operations without sacrificing output quality.

• adversarial-resilience

  Adversarial Resilience is the practice of hardening AI agents against deliberate attacks — prompt injection, data exfiltration, sandbox escape, and unauthorized capability escalation.

• agent-instinct-system

  The Agent Instinct System implements pre-cognitive reflexes — automatic safety checks and validations that fire before every code change, tool call, or output generation.

• anthropic-tool-mastery

  Anthropic Tool Mastery is the definitive skill for leveraging Claude's native tool_use capability to its fullest potential.

• cognitive-scaffolding

  Cognitive Scaffolding structures an agent's context window using principles from cognitive science — primacy effects, recency bias, chunking, and attention allocation.

• context-engineering

  Context Engineering is the discipline of maximizing agent output quality while minimizing token expenditure.

• multi-harness-portability

  Multi-Harness Portability is the engineering discipline of writing agent skills, prompts, and configurations that work across every major AI coding harness — Claude Code, Cursor, Codex, Gemini CLI, OpenCode, and beyond.

• prompt-architecture

  Prompt Architecture is the structural engineering of agent instructions.

• self-healing-agents

  Self-Healing Agents are autonomous systems that detect their own failure modes and self-correct without human intervention.

• session-archaeology

  Session Archaeology is the systematic excavation and analysis of past agent sessions to extract reusable patterns, identify recurring failure modes, and derive new skills from operational history.

• verification-loops

  Verification Loops are systematic evaluation pipelines that validate agent outputs at every stage of execution.

• ad-copy-generation

  The Ad Copy Generation skill produces high-performance responsive search ad (RSA) copy using AI-driven generation pipelines calibrated against millions of ad performance data points.

• audience-targeting

  The Audience Targeting skill orchestrates Google Ads' full audience ecosystem to reach the right users at every stage of the conversion funnel.

• budget-optimization

  The Budget Optimization skill applies AI-driven forecasting and portfolio theory to allocate advertising budgets across campaigns for maximum return.

• competitor-analysis

  The Competitor Analysis skill transforms Google Ads auction data into actionable competitive intelligence.

• conversion-tracking

  The Conversion Tracking skill provides end-to-end management of Google Ads conversion measurement infrastructure.

• google-ads-audit

  The Google Ads Account Audit skill executes a comprehensive, pattern-driven analysis of any Google Ads account using a proprietary 1,000-pattern knowledge base.

• keyword-research

  The Keyword Research skill delivers a systematic approach to keyword discovery, expansion, and optimization for Google Ads campaigns.

• landing-page-audit

  The Landing Page Audit skill performs comprehensive evaluations of post-click experiences, combining technical performance analysis with conversion rate optimization (CRO) assessment.

• pmax-optimization

  The Performance Max Optimization skill provides expert-level management of Google's most automated campaign type.

• quality-score-optimization

  The Quality Score Optimization skill provides a systematic framework for diagnosing, tracking, and improving Quality Score across every keyword in a Google Ads account.

• remarketing-strategy

  The Remarketing Strategy skill designs and implements cross-channel remarketing architectures that re-engage users at every stage of the conversion funnel.

• shopping-ads

  The Shopping Ads skill delivers end-to-end management of Google Shopping campaigns and Merchant Center product feeds.

• ci-cd-pipelines

  CI/CD Pipelines defines production-grade continuous integration and deployment workflows using GitHub Actions with wrangler deploy, link validation, HTML validation, and automated quality gates.

• cloudflare-workers

  Cloudflare Workers provides comprehensive guidance for building edge-first applications using Durable Objects, KV, R2, D1, AI bindings, and Vectorize.

• configuration-management

  Configuration Management implements dynamic configuration with hot-reload capability, inspired by Nacos configuration management patterns.

• edge-rendering

  Edge Rendering generates and serves dynamic pages at the network edge, eliminating origin round-trips for content that varies by city, service, or user segment.

• observability

  Observability implements structured logging, distributed tracing, and error monitoring for Cloudflare Workers and edge applications.

• service-discovery

  Service Discovery implements dynamic service registry, health check monitoring, and intelligent load balancing patterns inspired by Nacos for cloud-native applications.

• ml-model-integration

  ML Model Integration provides workflows for discovering, evaluating, and deploying machine learning models from HuggingFace Hub.

• programmatic-video

  Programmatic Video enables React-based video rendering with Remotion, where every frame is a React component and every animation is expressed in code.

• web-asset-generation

  Web Asset Generation automates the creation of favicons, PWA icons, Open Graph images, social media meta tags, and Apple touch icons from a single source image or brand specification.

• ai-chat-studio

  AI Chat Studio provides a multi-LLM chat orchestration framework with 300+ assistant presets, intelligent model routing, and conversation management.

• assistant-presets

  Assistant Presets provides a framework for creating, testing, and deploying specialized AI assistant configurations for domain-specific tasks.

• batch-processing

  Batch Processing enables parallel AI task execution with progress tracking, error handling, rate limiting, and result aggregation.

• knowledge-base-rag

  Knowledge Base RAG implements the complete Retrieval-Augmented Generation pipeline: document ingestion, intelligent chunking, embedding generation, vector store indexing, semantic retrieval, and grounded response generation.

• low-code-generation

  Low-Code Generation uses AI to produce forms, tables, dashboards, and workflow UIs from natural language descriptions or schema definitions.

• workflow-orchestration

  Workflow Orchestration provides a visual AI flow-building framework with MCP plugin support, conditional branching, parallel execution, and error recovery.

• bioinformatics

  Bioinformatics provides computational biology workflows for sequence analysis, protein structure prediction, single-cell RNA-seq with Scanpy, gene regulatory network inference, and pathway enrichment analysis.

• cheminformatics

  Cheminformatics provides computational chemistry workflows using RDKit for molecular property prediction, virtual screening, ADMET analysis, molecular docking preparation, and chemical space exploration.

• data-analysis

  Data Analysis provides a structured framework for statistical analysis using pandas, numpy, and scipy, with visualization through matplotlib, seaborn, and plotly.

• database-lookup

  Database Lookup provides unified programmatic access to 78+ scientific and public databases spanning chemistry (PubChem, ChEMBL), biology (UniProt, COSMIC, Ensembl), clinical (ClinicalTrials.gov, FDA), economics (FRED, World Bank), and intellectual property (USPTO, EPO).

• geospatial-analysis

  Geospatial Analysis provides workflows for satellite imagery processing, GIS operations with GeoPandas, spatial statistics, and Earth observation data analysis.

• machine-learning

  Machine Learning provides end-to-end ML pipeline construction with PyTorch and scikit-learn, covering model selection, training, evaluation, interpretability, hyperparameter tuning, and experiment tracking.

• research-methodology

  Research Methodology guides the agent through the complete scientific research lifecycle: hypothesis generation from literature gaps, experimental design with proper controls, systematic literature review, data collection protocols, and peer review preparation.

• scientific-writing

  Scientific Writing guides the production of research papers, abstracts, grant proposals, and supplementary materials with proper citation management, LaTeX formatting, and journal-specific template compliance.

• agent-security-scanning

  Agent Security Scanning detects vulnerabilities in AI-generated code before it reaches production.

• codeql-semgrep

  CodeQL & Semgrep integrates production-grade static analysis into agent workflows for deep vulnerability detection, custom rule authoring, and automated code review enforcement.

• sandbox-hardening

  Sandbox Hardening isolates agent execution environments using container sandboxing, permission boundaries, resource limits, and network segmentation.

• secret-protection

  Secret Protection prevents credential leaks across the development lifecycle through `.env` scanning, pre-commit hooks, secret rotation policies, and runtime detection.

• brainstorming

  Brainstorming is a Socratic design refinement skill that activates before any code is written.

• code-review

  Code Review enforces a structured pre-merge quality gate with a checklist-driven evaluation, severity-classified findings, and mandatory resolution tracking.

• executing-plans

  Executing Plans takes a written plan and drives it through batch execution with human checkpoints, progress tracking, and rollback capability.

• git-worktrees

  Git Worktrees enables parallel development by maintaining multiple checked-out branches simultaneously in separate directories.

• subagent-driven-development

  Subagent-Driven Development dispatches each discrete task to a fresh subagent with a clean context window, then subjects the output to a two-stage review before merging.

• systematic-debugging

  Systematic Debugging replaces trial-and-error fixes with a disciplined four-phase root cause analysis process.

• test-driven-development

  Test-Driven Development enforces the RED-GREEN-REFACTOR discipline on every code change an agent produces.

• writing-plans

  Writing Plans decomposes any implementation task into a sequence of atomic steps, each completable in 2-5 minutes, with exact file paths, complete code blocks, and verification commands.

• composition-patterns

  Composition Patterns teaches agents to build flexible, maintainable React components using compound components, state lifting, internal composition, and the elimination of boolean prop proliferation.

• edge-deployment

  Edge Deployment automates the deployment of frontend applications to Vercel and Cloudflare with auto-detection of 40+ frameworks, intelligent build configuration, and environment-specific settings.

• react-best-practices

  React Best Practices codifies 40+ rules across 8 priority categories, from Critical (eliminating waterfalls, reducing bundle size) to Low-Medium (JavaScript micro-optimizations).

• react-native-guidelines

  React Native Guidelines codifies 16 rules across 7 sections—Performance, Layout, Animation, Images, State, Architecture, and Platform—that prevent the most common pitfalls in cross-platform mobile development.

• view-transitions

  View Transitions implements the React View Transition API for seamless animated transitions between UI states and routes.

• web-design-guidelines

  Web Design Guidelines encodes 100+ rules covering accessibility, focus states, forms, animation, typography, images, performance, navigation, dark mode, touch targets, and internationalization.