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Found 2,230 Skills
Research collection of reconstructed prompt patterns and architectures for agentic AI coding assistants
Implementation guide for 17+ agentic AI architectures using LangChain and LangGraph for building sophisticated AI agents
Create, audit, or consolidate agent skills following the Agent Skills open standard (agentskills.io). Interviews the user relentlessly about intent, scope, and edge cases before drafting. Covers SKILL.md structure, frontmatter, progressive disclosure, description optimization, script bundling, sub-command architecture, setup gates, context systems, and review. Use when the user wants to create a skill, write a skill, build a new skill, make a skill, draft a SKILL.md, or mentions "skill-maker". Also use when asked to review a skill, audit a SKILL.md, check why a skill never triggers, improve an existing skill, or fix a skill. Also use when asked to package expertise, workflows, or domain knowledge into a reusable skill. Also use when asked to consolidate skills, merge skills, combine skills, reduce skill count, or refactor multiple skills into one.
Use this skill whenever working in a repository that uses Effect, even if the current task is in a new file or the user does not explicitly ask for Effect help. Apply it to any work that should follow the repository's Effect patterns, conventions, architecture, or supporting tooling. Also use it for questions about Effect patterns, services, layers, schemas, streams, runtimes, or typed error handling.
This skill should be used when the user asks for a cryptographer, cryptography review, help to choose a cipher (AES-GCM, ChaCha20-Poly1305, ECDH, RSA tradeoffs), key management, PKI design, TLS configuration, protocol security or handshake review, authenticated encryption, digital signature scheme design, post-quantum migration at architecture level, ProVerif or Tamarin modeling concepts, nonce reuse or IV misuse analysis, HKDF vs password hashing (Argon2), HSM or KMS usage patterns, secure randomness, side-channel and constant-time requirements, or cryptographic agility and algorithm deprecation—not general OWASP web app review only (information-security-engineer), secure coding checklists without crypto depth, Solidity or smart contract audits, blockchain wallet tracing, legal export classification, or shipping custom production crypto without design and review gates.
Guides senior front-end software engineering—TypeScript/React/Next.js architecture, component design, client and server rendering, state and data fetching, styling and design systems, accessibility (WCAG), performance (Core Web Vitals), testing, and senior-level UI code review. Use when building or refactoring complex UIs, designing component APIs, optimizing LCP/INP/CLS, implementing accessible interactions, integrating design tokens, or reviewing front-end PRs—not for backend APIs or databases (fullstack-software-engineer, senior-fullstack-developer), design-only critiques without implementation, CI/CD (devops), or cross-service system RFCs (senior-software-engineer). For implementing screens from design specs, component states, and visual QA, use ui-software-engineer. Deep perf investigations and load/RUM analysis: performance-engineer.
Generate a fully working React + Vite app that explains a codebase's workflows, data types, and architecture through interactive visuals — click-to-step animated walkthroughs with auto-play, sequence diagrams, animated packet tracers, message inspectors that toggle between named-field view and raw JSON, and collapsible code peeks with file:line citations. Splits the repo into 4–6 domain clusters and dispatches one content agent per cluster to write the pages in parallel. The skill bundles its own reference pages (under references/examples/) so it works in any repo. Use this skill whenever the user asks for interactive docs, animated explainers, an "agent team" for docs, one page per domain, wants to visualize a system's request flow or wire protocol, or any visual documentation site. Requires CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 in .claude/settings.json.
Technology-agnostic guidance for modular systems: bounded contexts, clear boundaries, composability, state isolation, explicit contracts, failure containment, scaffolding workflows, split/merge criteria, sub-units inside a context, and compliance review signals. Use when designing or reviewing module structure, service boundaries, package layout, cross-cutting dependencies, "how should we split this?", modularity assessments, coupling between domains, greenfield context design, or architecture discussions without assuming a specific framework, language, or repository layout. Do NOT use for executing the full Patterns 1–5 repo decomposition pipeline or per-pattern inventories (use modular-decomposition), phased extraction roadmaps as the main deliverable (use decomposition-planning-roadmap), or end-to-end legacy migration strategy (use legacy-migration-planner).
Service hierarchy, 7 foundational patterns, cross-platform input. Client-server architecture, module patterns, framework options.
Designs user experiences and interfaces grounded in research. Use when creating user journeys, wireframes, prototypes, or improving usability. Use for information architecture, interaction design, accessibility audits, design system creation, and developer handoff.
End-to-end retail ETL pipeline using PySpark, SQL Server, and Medallion Architecture (Bronze/Silver/Gold layers) for data warehousing
Infrastructure-as-code specialist for multi-cloud provisioning using Terraform across any provider (AWS, GCP, Azure, Oracle Cloud). Use for terraform plan/apply, state management, compute, databases, storage, networking, IAM, OIDC, cost optimization, policy-as-code, ISO/IEC 42001 AI controls, ISO 22301 continuity, and ISO/IEC/IEEE 42010 architecture documentation.