All authors

Claude Skills by adaptationio
github.com/adaptationio174 skills3 installs339 views
- AnalysisComprehensive analysis operations for code, skills, processes, data, and patterns. Task-based operations with pattern recognition, metrics calculation, trend identification, and actionable insights generation. Use when analyzing code quality, reviewing skill effectiveness, identifying process improvements, extracting patterns, or generating insights from data.Votes: 0GitHub stars: 3
- Anthropic Docs UpdaterAutomated documentation update mechanism for anthropic-expert skill. Five-step workflow from update detection through documentation fetching and processing to skill integration and validation. Use when updating Anthropic documentation, checking for new releases, fetching latest docs, keeping anthropic-expert current, or synchronizing with Anthropic product changes.Votes: 0GitHub stars: 3
- Anthropic ExpertComprehensive Anthropic product expertise covering Claude models, Claude API, Python SDK, Agent SDK, Claude Code, and Model Context Protocol. Six integrated capabilities with complete documentation, searchable references, code examples, and cross-product integration patterns. Use when working with Claude API, building agents, using SDKs, developing with Claude Code, integrating MCP servers, learning Anthropic products, optimizing costs, implementing Anthropic features, managing context, using...Votes: 0GitHub stars: 3
- Api TestingREST and GraphQL API testing with Playwright. Use when testing APIs, mocking endpoints, validating responses, or integrating API tests with E2E flows.Votes: 0GitHub stars: 3
- Auto Claude BuildAuto-Claude autonomous build system. Use when running builds, understanding agent workflow, managing parallel execution, or troubleshooting build issues.Votes: 0GitHub stars: 3
- Auto Claude CliAuto-Claude CLI command reference and usage patterns. Use when running specs, managing builds, checking status, or using CLI commands for autonomous coding tasks.Votes: 0GitHub stars: 3
- Auto Claude MemoryAuto-Claude Graphiti memory system configuration and usage. Use when setting up memory persistence, configuring LLM/embedding providers, querying knowledge graph, or optimizing memory performance.Votes: 0GitHub stars: 3
- Auto Claude OptimizationAuto-Claude performance optimization and cost management. Use when optimizing token usage, reducing API costs, improving build speed, or tuning agent performance.Votes: 0GitHub stars: 3
- Auto Claude SetupComplete Auto-Claude installation and setup guide for all platforms. Use when installing Auto-Claude on WSL, Windows, Linux, or macOS, setting up development environment, or troubleshooting installation issues.Votes: 0GitHub stars: 3
- Auto Claude SpecAuto-Claude spec creation and management. Use when creating feature specs, understanding spec pipeline phases, modifying requirements, or managing spec lifecycle.Votes: 0GitHub stars: 3
- Auto Claude TroubleshootingAuto-Claude debugging and troubleshooting guide. Use when fixing installation issues, debugging build failures, resolving agent errors, or diagnosing performance problems.Votes: 0GitHub stars: 3
- Auto Claude UpdaterAuto-update system for Auto-Claude skills and documentation. Use when checking for updates, synchronizing with upstream, updating skills automatically, or managing version compatibility.Votes: 0GitHub stars: 3
- Auto Claude WorkspaceAuto-Claude workspace and git worktree management. Use when reviewing changes, merging builds, managing branches, or understanding isolation strategy.Votes: 0GitHub stars: 3
- Autonomous Cost OptimizerToken and cost optimization for autonomous coding. Use when tracking token usage, optimizing API costs, managing budgets, or improving efficiency.Votes: 0GitHub stars: 3
- Autonomous LoopMain orchestration loop for autonomous coding. Use when running autonomous sessions, orchestrating feature completion, managing continuous loops, or coordinating agent lifecycle.Votes: 0GitHub stars: 3
- Autonomous MasterMaster orchestrator for autonomous coding projects. Use when starting autonomous projects, continuing sessions, checking status, or running complete autonomous workflows.Votes: 0GitHub stars: 3
- Autonomous Opus LoopAutonomous Claude Code operation using Opus 4.5 for intelligent continuation decisions. Use when running long tasks, multi-step implementations, overnight development, or any workflow requiring continuous autonomous operation without human intervention.Votes: 0GitHub stars: 3
- Autonomous Session ManagerSession lifecycle management for autonomous coding. Use when starting new coding sessions, resuming work, detecting session type (init vs continue), or managing auto-continuation between sessions.Votes: 0GitHub stars: 3
- Bedrock Agentcore DeploymentAmazon Bedrock AgentCore deployment patterns for production AI agents. Covers starter toolkit, direct code deploy, container deploy, CI/CD pipelines, and infrastructure as code. Use when deploying agents to production, setting up CI/CD, or managing agent infrastructure.Votes: 0GitHub stars: 3
- Bedrock Agentcore EvaluationsAmazon Bedrock AgentCore Evaluations for testing and monitoring AI agent quality. 13 built-in evaluators plus custom LLM-as-Judge patterns. Use when testing agents, monitoring production quality, setting up alerts, or validating agent behavior.Votes: 0GitHub stars: 3
- Bedrock Agentcore Multi AgentAmazon Bedrock AgentCore multi-agent orchestration with Agent-to-Agent (A2A) protocol. Supervisor-worker patterns, agent collaboration, and hierarchical delegation. Use when building multi-agent systems, orchestrating specialized agents, or implementing complex workflows.Votes: 0GitHub stars: 3
- Bedrock Agentcore PolicyAmazon Bedrock AgentCore Policy for defining agent boundaries using natural language and Cedar. Deterministic policy enforcement at the Gateway level. Use when setting agent guardrails, access control, tool permissions, or compliance rules.Votes: 0GitHub stars: 3
- Bedrock AgentcoreAmazon Bedrock AgentCore platform for building, deploying, and operating production AI agents. Covers Runtime, Gateway, Browser, Code Interpreter, and Identity services. Use when building Bedrock agents, deploying AI agents to production, or integrating with AgentCore services.Votes: 0GitHub stars: 3
- Bedrock AgentsAmazon Bedrock Agents for building autonomous AI agents with foundation model orchestration, action groups, knowledge bases, and session management. Use when creating AI agents, orchestrating multi-step workflows, integrating tools with LLMs, building conversational agents, implementing RAG patterns, managing agent sessions, deploying production agents, or connecting knowledge bases to agents.Votes: 0GitHub stars: 3