Developer Tools

Foundational mental model for the Algorand Virtual Machine (AVM). Use when encountering AVM concepts, stack machine questions, resource limit errors, opcode budget issues, program size problems, or constraint errors. Use when an agent defaults to PyTEAL, Beaker, or raw TEAL. Read BEFORE writing any smart contract code. Covers the two-type system (uint64/bytes), compilation from TypeScript/Python to TEAL, hard resource limits, and common LLM anti-patterns.

When the user wants to deploy AI sales development reps, automate sales qualification, build signal-to-action routing, or design AI agent architecture for sales. Also use when the user mentions 'AI SDR,' 'AI sales agent,' 'automated qualification,' 'signal routing,' 'sales automation,' '11x,' 'Artisan,' 'AiSDR,' 'AI BDR,' or 'autonomous sales.' This skill covers AI SDR deployment, qualification automation, and agent architecture for sales development. Do NOT use for technical implementation, code review, or software architecture.

Use this skill when implementing tasks according to Conductor's TDD workflow, handling phase checkpoints, managing git commits for tasks, or understanding the verification protocol.

When the user wants to sell through social media, optimize LinkedIn for sales, build DM sequences, or convert content engagement into pipeline. Also use when the user mentions 'social selling,' 'LinkedIn selling,' 'LinkedIn DMs,' 'social prospecting,' 'LinkedIn Sales Navigator,' 'DM sequences,' 'LinkedIn outreach,' 'social pipeline,' or 'LinkedIn optimization.' This skill covers social selling strategy from profile optimization through DM-to-deal conversion. Do NOT use for technical implementation, code review, or software architecture.

Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.

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Debug complex issues using competing hypotheses with parallel investigation, evidence collection, and root cause arbitration. Use this skill when debugging bugs with multiple potential causes, performing root cause analysis, or organizing parallel investigation workflows.

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Guide for writing TypeScript code with AlgoKit Utils (`@algorandfoundation/algokit-utils`). Use this skill whenever the user is building on Algorand with TypeScript — client setup, account management, payments, asset operations, atomic transaction groups, smart contract deployment and interaction (AppFactory, AppClient, ARC-56/ARC-32 specs), raw app calls, key registration, network management, testing with algorandFixture, error handling, and the low-level crypto primitives under `@algorandfoundation/algokit-utils/crypto` (Ed25519 keygen/signing/verification, SHA-512/256 `hash`, Peikert xHD BIP44 wallets, wrapped-secret patterns). Trigger on imports from `@algorandfoundation/algokit-utils` (incl. `/crypto`, `/testing`, `/transact` subpaths), references to `AlgorandClient`, `AppFactory`, `AppClient`, `AlgoAmount`, `algorandFixture`, `ed25519Generator`, `peikertXHdWalletGenerator`, `hash`, `WrappedEd25519Seed`, or `RawEd25519Signer`. Also on any TypeScript or JavaScript code that builds on Algorand.

Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community grants. Use whenever the user asks to create or host an app on Hugging Face, port code onto ZeroGPU, fix a Space that won't build or run, or otherwise work with `hf spaces …`, `@spaces.GPU`, Space README frontmatter, or the `spaces` Python package.

Master effective code review practices to provide constructive feedback, catch bugs early, and foster knowledge sharing while maintaining team morale. Use when reviewing pull requests, establishing review standards, or mentoring developers.

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