Routing hub for Solana development. Maps a task to the one reference to read first in the ext/ skill submodules or the kit's local skills.
npx skills add https://github.com/solanabr/solana-ai-kit --skill solana-dev
Find the task, read the linked file, and follow further links only as needed. Paths are relative to this file.
When sources overlap: the program-code house rules in the project instruction file (CLAUDE.md, or AGENTS.md in --agents installs) win; a protocol's official skill wins for its own SDK (Jupiter, Metaplex, Helius); ext/solana-dev wins for general Solana work; sendai and community skills fill gaps only.
| Task | Read |
|------|------|
| Any program, client or test work (entry point) | solana-dev SKILL.md |
| Anchor | programs/anchor.md; upgrading to 1.x: migrating-v0.32-to-v1.md |
| Pinocchio, CU optimization | programs/pinocchio.md |
| Account and PDA design | programs/design-patterns.md |
| Tests: LiteSVM, Mollusk, Surfpool | testing.md, surfpool/overview.md |
| Error codes, failing transactions | common-errors.md |
| Toolchain version pairing | compatibility-matrix.md |
| Security review | security.md, safe-solana-builder (security-first scaffolding, Anchor/native/Pinocchio) |
| Financial math, Quasar zero-copy | RUST.md, ANCHOR.md, QUASAR.md from quicknode-anchor; reference files only, skip that repo's SKILL.md workflow layer |
| Formal verification (Lean 4) | qedgen from QEDGen; needs the qedgen CLI and MISTRAL_API_KEY |
| Port from Solidity/EVM | eth-to-sol from eth-to-sol: type-mapping, pattern-mapping, stdlib-mapping, mental-model, translation/, security/, optimization/; concept map: solana-vs-evm.md |
Anchor 1.x defaults this kit uses (not all spelled out upstream): SPL transfers through token_interface::transfer_checked, account space T::DISCRIMINATOR.len() + T::INIT_SPACE, Rust LiteSVM tests under programs/<name>/tests/ (anchor test runs Surfpool).
| Task | Read |
|------|------|
| Wallet connection, React hooks, @solana/kit UI | frontend.md |
| Transactions, Kit and web3.js boundary | kit-web3-interop.md |
| web3.js to Kit migration | solana-kit-migration/, solana-kit/ |
| Clients generated from an IDL (Codama, Shank) | idl-codegen.md |
| Payments, Solana Pay, Kora | payments.md |
| Official doc links | resources.md |
| Vercel, Next.js, AI SDK, v0 | ext/vercel/skills/ from Vercel |
| Task | Read |
|------|------|
| Token-2022 extensions (hooks, fees, metadata, soulbound) | token-2022.md |
| Confidential transfers | confidential-transfers.md |
| NFTs: Core, Token Metadata, Bubblegum, Candy Machine, Umi | metaplex (official) |
| Task | Read |
|------|------|
| Jupiter swap, lend, perps, trigger, recurring | integrating-jupiter (official); also jupiter-lend, jupiter-swap-migration, jupiter-vrfd |
| Helius RPC, DAS, webhooks, Sender, priority fees | helius (official) |
| SVM internals, consensus, validators, SIMDs | svm |
Other protocols from SendAI: perps phoenix and leverage lavarage; AMMs raydium, meteora, orca; lending kamino, marginfi; LSTs sanctum; launches pumpfun; oracles pyth, switchboard; multisig squads; bridging debridge, lifi; encrypted compute arcium; ZK compression light-protocol; data birdeye, wallet-analysis; RPC carbium, quicknode; order book manifest; order flow dflow; on-chain games magicblock; account cleanup sol-incinerator; agents solana-agent-kit; wallets phantom-connect; scanning vulnhunter. SendAI's own jupiter, metaplex and helius folders are older copies; the official skills above supersede them.
curl ... | bash installers; run them only with the user's consent.COLOSSEUM_COPILOT_PATskill-registry.json lists opt-in tools the kit doesn't bundle; install one only when the user asks. Wider ecosystem catalogs: ext/solana-new/cli/data/.
Automate creating a GitHub repository and deploying a web project to Vercel. Use when the user asks to deploy a website/app to production, publish a project, or set up GitHub + Vercel deployment.
Deploy applications and websites to Vercel. Use this skill when the user requests deployment actions such as "Deploy my app", "Deploy this to production", "Create a preview deployment", "Deploy and give me the link", or "Push this live". No authentication required - returns preview URL and claimable deployment link.
Assess Kubernetes workloads and cluster configuration for AKS Automatic compatibility. Identifies incompatibilities, generates fixes, and guides migration from AKS Standard to AKS Automatic. WHEN: migrate to AKS Automatic, check AKS Automatic readiness, validate manifests for Automatic, assess cluster for Automatic compatibility, fix deployment for Automatic compatibility, identify AKS Automatic migration blockers, is my cluster ready for AKS Automatic.
Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.
Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).
Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
Take solanabr/solana-dev from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.