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adaptationio AI Skills

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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

performance-testing

adaptationio

Performance testing with Lighthouse and Web Vitals integration in Playwright. Use when measuring page load times, Core Web Vitals, Lighthouse audits, or performance budgets.

GitHub

claude-advanced-tool-use

adaptationio

Advanced tool use patterns including tool search, programmatic calling, and production orchestration. Use when scaling to 10,000+ tools, optimizing token usage, or implementing production tool systems.

GitHub

enhanced-telemetry

adaptationio

Comprehensive Claude Code telemetry via 10 hooks capturing sessions, conversations, tools, subagents, context, permissions, and repository analytics. Use when analyzing detailed usage patterns beyond default OT...

GitHub

ralph-prompt-single-task

adaptationio

Generate Ralph-compatible prompts for single implementation tasks. Creates prompts with clear completion criteria, automatic verification, and TDD approach. Use when creating prompts for bug fixes, single featu...

GitHub

ac-autonomous-orchestrator

adaptationio

Main orchestrator for autonomous coding operations. Use when running autonomous sessions, coordinating components, managing the full lifecycle, or orchestrating implementations.

GitHub

terra-sdk

adaptationio

Terra SDK integration for Python, JavaScript, iOS, Android, React Native, and Flutter. Use when implementing Terra in applications, choosing SDKs, or integrating mobile health sources.

GitHub

ac-tdd-runner

adaptationio

Run TDD cycle for feature implementation. Use when implementing features with RED-GREEN-REFACTOR, running test-driven development, automating TDD workflow, or ensuring test-first development.

GitHub

planning-architect

adaptationio

Comprehensive skill development planning. Analyzes requirements, chooses organizational patterns (workflow/task/reference/capabilities), defines structure, estimates complexity, identifies dependencies, and cre...

GitHub

xai-stock-sentiment

adaptationio

Real-time stock sentiment analysis using Twitter/X data via Grok. Use when analyzing stock ticker sentiment, tracking retail investor mood, or gauging market reaction to events.

GitHub

handoff-coordinator

adaptationio

Clean transitions between agents and sessions. Use when preparing handoffs, serializing state, bridging context between agents, or coordinating multi-agent workflows.

GitHub

auto-claude-updater

adaptationio

Auto-update system for Auto-Claude skills and documentation. Use when checking for updates, synchronizing with upstream, updating skills automatically, or managing version compatibility.

GitHub

process-optimizer

adaptationio

Optimize skill development processes through bottleneck identification, efficiency analysis, automation discovery, and workflow improvement. Task-based operations for process analysis, bottleneck elimination, a...

GitHub

stagehand-automation

adaptationio

AI-powered browser automation using Stagehand v3 and Claude. Use when building self-healing tests, AI agents, dynamic web automation, or when traditional selectors break frequently due to UI changes.

GitHub

ac-context-optimizer

adaptationio

Optimize context usage for autonomous coding. Use when managing context window, prioritizing information, reducing token usage, or improving efficiency.

GitHub

momentum-keeper

adaptationio

Maintain development momentum and prevent project stalls through progress tracking, blocker resolution, quick wins identification, energy management, and continuation strategies. Task-based operations for detec...

GitHub

development-workflow

adaptationio

Complete end-to-end skill development workflow orchestrating research, planning, task breakdown, prompt design, and progress tracking. Use when building new Claude Code skills, creating workflow skills, or foll...

GitHub

claude-computer-use-advanced

adaptationio

Advanced computer use patterns for UI automation, application control, and multi-step workflows using Claude's computer use tool. Use when automating desktop tasks, testing applications, analyzing screen conten...

GitHub

bedrock-guardrails

adaptationio

Comprehensive Amazon Bedrock Guardrails implementation for AI safety with 6 safeguard policies (content filters, PII redaction, topic denial, word filters, contextual grounding, automated reasoning). Use when i...

GitHub

gemini-3-advanced

adaptationio

Advanced Gemini 3 Pro features including function calling, built-in tools (Google Search, Code Execution, File Search, URL Context), structured outputs, thought signatures, context caching, batch processing, an...

GitHub

railway-observability

adaptationio

Railway.com built-in metrics, monitoring dashboards, alerting (Pro plan), and external OTEL integration with Grafana. Use when setting up monitoring, creating dashboards, configuring alerts, integrating Prometh...

GitHub

botanical-design

adaptationio

Complete design system guide for Dr. Sophia AI's botanical brand identity. Includes official typography (Livvic/Onest), color palette (#00B368 green spectrum), shadow systems, gradients, and component templates...

GitHub

multi-ai-skill-builder

adaptationio

Meta-skill for building Claude Code skills using Multi-AI research, planning, and implementation. Coordinates Claude, Gemini, and Codex for comprehensive research, synthesizes findings, and generates production...

GitHub

todo-management

adaptationio

Systematic progress tracking for skill development. Manages task states (pending/in_progress/completed), updates in real-time, reports progress, identifies blockers, and maintains momentum. Use when tracking sk...

GitHub

terraform-aws

adaptationio

Comprehensive AWS infrastructure management with Terraform. Covers provider configuration, state management (S3 backend with native locking in Terraform 1.11+), common resource patterns (VPC, IAM, S3, RDS, EKS)...

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.