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adaptationio AI Skills

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Browse published AI skills maintained by adaptationio. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

234

Repository stars across indexed skills

936

Repository forks

0

Average repository stars per indexed skill

4

Repository stars may repeat across skills from the same repository.

234 skills

Browse skills

GitHub

railway-troubleshooting

adaptationio

Railway Docker cache troubleshooting for Dr. Sophia AI deployments. Covers cache detection, force rebuild methods, version verification, deployment validation. Use when Railway shows old code after deployment,...

GitHub

improvement-workflow

adaptationio

Complete continuous improvement cycle orchestrating review, analysis, learning extraction, systematic updates, and validation. Sequential workflow from comprehensive review through pattern analysis and learning...

GitHub

auto-claude-optimization

adaptationio

Auto-Claude performance optimization and cost management. Use when optimizing token usage, reducing API costs, improving build speed, or tuning agent performance.

GitHub

skill-updater

adaptationio

Apply improvements to Claude Code skills systematically. Workflow for planning updates, implementing changes, validating improvements, and documenting changes. Use when applying review recommendations, updating...

GitHub

ecs-fargate

adaptationio

AWS Fargate serverless container compute for ECS. Covers Fargate vs EC2 decision guide, CPU/memory sizing, platform versions, Fargate Spot cost optimization, Graviton/ARM architecture, networking, and EFS integ...

GitHub

ac-code-validator

adaptationio

Validate code quality and standards. Use when running linting, checking types, validating code style, or performing static analysis.

GitHub

visual-testing

adaptationio

Visual regression testing with Chromatic, Lost Pixel, and Playwright snapshots. Use when detecting UI changes, maintaining visual consistency, reviewing design changes, or setting up screenshot comparison in CI...

GitHub

progress-tracker

adaptationio

Track and report progress across autonomous coding sessions. Use when generating progress reports, calculating metrics, visualizing completion, or estimating time to completion.

GitHub

ac-checkpoint-manager

adaptationio

Manage checkpoints for rollback capability. Use when creating save points, rolling back changes, managing recovery points, or restoring previous states.

GitHub

railway-automation

adaptationio

Railway CI/CD integration and automation. Use when setting up GitHub Actions, GitLab CI, automated deployments, migration scripts, or programmatic Railway workflows.

GitHub

parallel-agent-spawner

adaptationio

Spawn and coordinate parallel agents for faster completion. Use when running parallel tasks, spawning subagents, coordinating concurrent work, or optimizing throughput.

GitHub

tri-ai-collaboration

adaptationio

Complete development workflows where Claude writes the code while Gemini and Codex provide research, planning, reviews, and different perspectives. Claude remains the main developer. Use for complex projects re...

GitHub

bedrock-agentcore-memory

adaptationio

Amazon Bedrock AgentCore Memory for persistent agent knowledge across sessions. Episodic memory for learning from interactions, short-term for session context. Use when building agents that remember user prefer...

GitHub

bedrock-agentcore-policy

adaptationio

Amazon 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 per...

GitHub

ac-insight-extractor

adaptationio

Extract insights from autonomous coding sessions. Use when learning from completions, extracting patterns, analyzing decisions, or improving future performance.

GitHub

system-reviewer

adaptationio

Review the skill development ecosystem itself - assess ecosystem health, identify systemic issues, evaluate toolkit effectiveness, and recommend system-level improvements. Task-based operations for ecosystem as...

GitHub

spec-builder

adaptationio

Interactive specification builder for autonomous coding projects. Use when users have vague ideas, need help defining requirements, want to create project specs, or before running autonomous-master.

GitHub

testing-validator

adaptationio

Comprehensive testing validation for Claude Code skills through functional testing, example validation, integration testing, regression testing, and edge case testing. Task-based testing operations with automat...

GitHub

wearables-setup

adaptationio

Samsung Galaxy Watch integration via Google Drive for Dr. Sophia AI. Covers Health Sync app setup, OAuth configuration, multi-user management, data sync verification. Use when setting up Samsung Health wearable...

GitHub

auto-claude-troubleshooting

adaptationio

Auto-Claude debugging and troubleshooting guide. Use when fixing installation issues, debugging build failures, resolving agent errors, or diagnosing performance problems.

GitHub

gemini-3-multimodal

adaptationio

Process multimodal inputs (images, video, audio, PDFs) with Gemini 3 Pro. Covers image understanding, video analysis, audio processing, document extraction, media resolution control, OCR, and token optimization...

GitHub

task-development

adaptationio

Break down skill development into concrete tasks with time estimates, dependencies, and validation criteria. Creates actionable task lists, identifies blockers, estimates effort, and sequences work optimally. U...

GitHub

best-practices-learner

adaptationio

Extract learnings and best practices from skill development experience, review findings, and pattern analysis. Task-based operations for pattern extraction, learning documentation, guideline updates, knowledge...

GitHub

gemini-3-pro-api

adaptationio

Gemini 3 Pro API/SDK integration for text generation, reasoning, and chat. Covers setup, authentication, thinking levels, streaming, and production deployment. Use when working with Gemini 3 Pro API, Python SDK...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.