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agent-skills
agent-skills contains 549 collected skills from j4flmao, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Adopts the persona of a Principal Quantum Physicist, shifting mindset from binary logic to Superposition, Entanglement, and probabilistic outcomes.
Amplitude amplification and unstructured database search in O(sqrt(N)) time.
Conceptual quantum circuit construction, qubit initialization, gate application, and measurement in Python.
Advanced theoretical frameworks of quantum entanglement, Bell States, and Quantum Teleportation protocols.
Fundamental operations of quantum computing, including the Bloch Sphere, Hadamard gate, Pauli-X/Y/Z, and CNOT gate.
Quantum period finding, Quantum Fourier Transform (QFT), and RSA vulnerability.
First principles of AI societal structures and multi-agent interaction paradigms.
Guidelines for building multi-agent systems and RAG pipelines.
Best practices for Kafka/RabbitMQ message brokering and event sourcing.
Use this skill when asked about Ethereum internals, EVM deep dive, Ethereum consensus layer, execution clients, staking, EIPs, layer-2 scaling, account abstraction, PBS/MEV-Boost, EVM opcodes, and Ethereum protocol development. Languages: Go, Rust, C#, C++, Solidity. Covers EVM architecture (opcodes, gas metering, memory/storage model, EOF), execution clients (geth, reth, Nethermind, Erigon), consensus layer (Casper FFG, LMD-GHOST, beacon chain, attestation), staking and validators (32 ETH, withdrawal credentials, MEV-Boost, DVT, ePBS), account abstraction (ERC-4337, EntryPoint, paymasters, UserOp mempool), critical EIPs (1559, 4844, 4337, 3529, 2718), and L2 scaling (Optimism, Arbitrum, ZKsync, StarkNet, validium, data availability). Do NOT use for: Bitcoin protocol (use blockchain-bitcoin), non-EVM blockchains (use blockchain-core), or smart contract development (use blockchain-application).
Strategies for 1-click checkout, performance, and reducing cart abandonment.
Use this skill when the user says 'feature flags', 'LaunchDarkly', 'split testing', 'A/B testing', 'gradual rollout', 'canary release', 'feature toggle', 'flag provider', 'targeting rule', or when implementing frontend feature flags. This skill enforces: typed flag definitions, provider-agnostic abstraction layer, gradual rollout with percentage targeting, and A/B test assignment tracking. Works with LaunchDarkly, Split.io, Flagsmith, or custom flag backends. Do NOT use for: backend-only flag evaluation, server-side config management, infrastructure provisioning.
Use when the user asks about user acceptance testing (UAT), alpha/beta testing, business scenario testing, acceptance criteria, Gherkin, specification by example, or sign-off processes. Do NOT use for: unit testing (quality-unit-testing), integration testing (quality-integration-testing), or regression testing (quality-regression-testing).
Apply DevSecOps practices, focusing on automated SAST/DAST scanning within CI/CD pipelines.
Best practices for sharding algorithms (Consistent Hashing) and scaling SQL databases.
Implementing Module Federation for scaling frontend teams.
Optimization strategies for Core Web Vitals (LCP, FID/INP, CLS).
Integration patterns for WebGL and Three.js in web applications.
Fundamental principles of AI Agent cognitive loops, contrasting ReAct and Plan-and-Solve paradigms.
Theoretical foundations of Working, Semantic, and Episodic memory systems for autonomous agents.
First principles of tool/environment grounding, structured outputs, and error recovery for AI agents.
Persona definition for Staff-level Smart Contract Auditor. Instills adversarial thinking, deep EVM knowledge, and zero-trust logic.
Persona definition for Staff-level System Architect. Instills distributed systems design, CAP theorem mastery, and fault tolerance.
Playbook for building a High-Scale E-Commerce platform.
Adopts the persona of a Staff-level DevOps/SRE Engineer. Focuses on IaC, CI/CD, 99.99% Uptime, Observability, and Chaos Engineering.
ACT and THINK like a Staff Mobile Engineer focusing on performance, architecture, and reliability.
ACT and THINK like a highly effective Product Manager focusing on business value, OKRs, and prioritization.
Adopts the persona of a Staff-level QA Architect. Focuses on Zero manual testing, Flaky tests prevention, and Test Pyramid.
Adopts the persona of a Staff-level Security Engineer. Focuses on Shift-left Security, OWASP, Zero-Trust, Penetration Testing, and Least Privilege.
Act and think like a Staff-level AI Solutions Architect, focusing on RAG vs Fine-tuning tradeoffs, cost optimization, and agentic patterns.
Adopts the mindset and thought process of a Staff-level Backend Engineer focusing on Zero-trust Security, Observability, Stateless APIs, and Concurrency control.
Act and think like a Staff-level Data Analyst, focusing on business insights, A/B testing, and actionable metrics.
Act and think like a Staff-level Data Engineer, prioritizing data quality, idempotent pipelines, and schema evolution.
Adopts the mindset and thought process of a Staff-level Frontend Engineer focusing on Core Web Vitals, Micro-Frontends, Global State Management, and scale-level Accessibility (a11y).
Rules for breaking down complex projects into granular checklists in task.md, using specific notation, and updating frequently for transparency.
Forces the agent to research and write a structured implementation plan before writing any code.
Instructions for creating stunning walkthrough reports using advanced Markdown features.
Authoritative playbook for building a full-stack AI SaaS platform integrating LangChain, Kafka, and Stripe.
Playbook for building full-stack Web3 applications (Next.js, Solidity, Kubernetes).
Automated auditing, reentrancy guards, and flashloan attack prevention.