Rechercher

PythonReactSEOPDF

adaptationio AI Skills

GitHub ↗

Explorez les skills IA publiés de adaptationio et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

234

Étoiles des dépôts des skills indexés

936

Forks du dépôt

0

Moyenne des étoiles par skill indexé

4

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

234 skills

Explorer

GitHub

initializer-agent

adaptationio

First-session agent for autonomous coding projects. Use when starting a new autonomous project, generating feature lists, setting up environments, or scaffolding project structure.

GitHub

auto-claude-spec

adaptationio

Auto-Claude spec creation and management. Use when creating feature specs, understanding spec pipeline phases, modifying requirements, or managing spec lifecycle.

GitHub

codex-tools

adaptationio

Execute and manage Codex CLI tools including file operations, shell commands, web search, and automation patterns. Use for automated workflows, tool orchestration, and full automation with permission bypass.

GitHub

xai-agent-tools

adaptationio

xAI Agent Tools API for autonomous tool calling with X search, web search, and code execution. Use when building agents that need real-time data access and autonomous task execution.

GitHub

ralph-wiggum-v2

adaptationio

Autonomous TDD development loop with parallel agent swarm, category evolution, and convergence detection. Use when running autonomous game development, quality improvement loops, or comprehensive codebase revie...

GitHub

ac-feature-analyzer

adaptationio

Analyze features and their dependencies. Use when mapping feature relationships, detecting blockers, optimizing build order, or identifying critical paths.

GitHub

boto3-ecs

adaptationio

AWS Boto3 SDK patterns for Amazon ECS cluster management, task definitions, services, and Fargate deployments. Use when working with ECS clusters, managing task definitions, deploying services, running one-off...

GitHub

skill-builder-medical

adaptationio

Specialized guide for creating Claude Code skills for Dr. Sophia AI medical system. Includes healthcare integration patterns (FHIR/REST/EHR), medical compliance validation (HIPAA/PBS/TGA), botanical design inte...

GitHub

feedback-analyzer

adaptationio

Analyze skill effectiveness through usage feedback, metrics analysis, and outcome assessment. Task-based operations for feedback collection, effectiveness measurement, trend analysis, and insight extraction. Us...

GitHub

end-to-end-orchestrator

adaptationio

Complete development workflow orchestrator coordinating all multi-ai skills (research → planning → implementation → testing → verification) with quality gates, failure recovery, and state management. Single-com...

GitHub

auto-updater

adaptationio

Automatically apply improvements to skills and the ecosystem based on system-reviewer findings and best-practices-learner insights. Workflow for automated improvement identification, priority assessment, safe a...

GitHub

ac-test-generator

adaptationio

Generate tests for features using TDD approach. Use when creating test files, generating test cases, implementing RED phase of TDD, or scaffolding test infrastructure.

GitHub

review-workflow

adaptationio

Complete quality assurance workflow orchestrating validation, comprehensive review, and functional testing. Sequential workflow from quality gating through multi-dimensional review to scenario testing. Use when...

GitHub

skill-reviewer

adaptationio

Identify improvement opportunities in Claude Code skills through targeted review operations. Complements review-multi by focusing on actionable improvements rather than scoring. Use when seeking specific improv...

GitHub

ac-parallel-coordinator

adaptationio

Coordinate parallel autonomous operations. Use when running parallel features, managing concurrent work, coordinating multiple agents, or optimizing throughput.

GitHub

karpenter-autoscaling

adaptationio

Karpenter for intelligent Kubernetes node autoscaling on EKS. Use when configuring node provisioning, optimizing costs with Spot instances, replacing Cluster Autoscaler, implementing consolidation, or achieving...

GitHub

anthropic-expert

adaptationio

Comprehensive 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...

GitHub

context-state-tracker

adaptationio

State persistence across autonomous coding sessions. Use when saving progress, loading context, managing feature lists, tracking git history, or restoring session state.

GitHub

autonomous-opus-loop

adaptationio

Autonomous 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 auton...

GitHub

gemini-tools

adaptationio

Execute and manage Gemini CLI built-in tools including file operations, web search, shell commands, and memory. Use for automated workflows, tool orchestration, and safe execution patterns.

GitHub

codex-review

adaptationio

Code review workflows with Codex CLI including automated reviews, diff analysis, and PR improvements. Use for code review, quality checks, or automated improvement suggestions.

GitHub

supabase-troubleshooting

adaptationio

Troubleshoot common Supabase issues including auth errors, RLS policies, connection problems, and performance. Use when debugging Supabase issues, fixing errors, or optimizing performance.

GitHub

finnhub-api

adaptationio

FinnHub financial data API integration for stocks, forex, crypto, news, and fundamentals. Use when fetching real-time quotes, company profiles, financial statements, insider trading, earnings calendars, or mark...

GitHub

multi-ai-code-review

adaptationio

Multi-perspective code review using Claude, Gemini, and Codex as specialized agents. 5-dimensional analysis (security, performance, maintainability, correctness, style) with LLM-as-judge consensus, quality scor...

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.