Developer Tools

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Guide for writing Python code with AlgoKit Utils (`algokit-utils`). Use this skill whenever the user is building on Algorand with Python — client setup, account management, payments, ASA operations, atomic transaction groups, smart contract deployment and interaction (AppFactory, AppClient, ARC-56/ARC-32 specs), raw app calls, TEAL compilation, key registration, network management, error handling, and the low-level crypto primitives in `algokit_crypto` (Ed25519 keygen/signing/verification, Peikert xHD BIP44 wallets, wrapped-secret patterns) and `algokit_common` (`sha512_256`). Trigger on imports from `algokit_utils` or `algokit_crypto`, references to `AlgorandClient`, `AppFactory`, `AppClient`, `AlgoAmount`, `ed25519_generator`, `peikert_hd_wallet_generator`, `sha512_256`, `WrappedEd25519Seed`, or `RawEd25519Signer`, or any Python code that builds on Algorand.

This skill should be used when the user asks to "diagnose context problems", "fix lost-in-middle issues", "debug agent failures", "understand context poisoning", or mentions context degradation, attention patterns, context clash, context confusion, or agent performance degradation. Provides patterns for recognizing and mitigating context failures.

GitHub Actions CI/CD expert skill. Use when creating, debugging, optimizing, or securing GitHub Actions workflows, implementing DevSecOps pipelines, setting up deployment strategies, configuring matrix builds, caching, reusable workflows, OIDC authentication, or troubleshooting CI/CD failures.

Validates skills in this repo against agentskills.io spec and Claude Code best practices. Use via /validate-skills command.

Detects anemic domain models, validates and refactors them into rich domain models, and enforces tactical DDD patterns (Entities, Value Objects, Aggregates, Domain Services, Domain Events). Use when the user asks to validate, review, or check domain models or DDD code; detect anemia; refactor domain objects; improve encapsulation; or mentions terms like "anemic model", "rich domain", "aggregate", "value object", "domain event", "ubiquitous language", "is this good DDD", "does this follow DDD", or "check my domain". Do NOT use for module or service boundary design, architectural decomposition, strategic DDD context mapping, or code outside the domain layer (DTOs, controllers, infrastructure adapters).

Use when the user asks to run Gemini CLI for code review, plan review, or big context (>200k) processing. Ideal for comprehensive analysis requiring large context windows. Uses Gemini 3 Pro by default for state-of-the-art reasoning and coding.

Google Cloud Platform expert skill. Use when designing, deploying, or managing infrastructure on GCP including GKE, Cloud Run, Cloud SQL, Pub/Sub, BigQuery, Cloud Storage, IAM, networking, Terraform, and CI/CD pipelines. Covers architecture, cost optimization, security, and reliability.

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When the user wants to create AI-generated ad creative, test performance creative, manage creative fatigue, or optimize paid media with AI tools. Also use when the user mentions 'ad creative,' 'performance creative,' 'creative testing,' 'creative fatigue,' 'Meta ads,' 'Google ads,' 'TikTok ads,' 'AI ads,' 'ad budget,' 'ROAS,' 'Advantage+,' or 'Performance Max.' This skill covers AI-powered paid creative from generation through performance optimization. Do NOT use for technical implementation, code review, or software architecture.

Static Application Security Testing (SAST) for code vulnerability analysis across multiple languages and frameworks