Use for deep Laravel project analysis: boot flow, request lifecycle, container usage, Eloquent/data flow, async systems, and Laravel-specific failure patterns.
Use for deep Next.js analysis: server vs client boundaries, routing, data fetching, caching, rendering modes, and hydration/runtime issues.
Use for deep Node.js / Express project analysis: boot flow, middleware order, async behavior, data layer, auth/security, and Node-specific runtime failure patterns.
Use for deep React analysis: component tree, state flow, props flow, hooks usage, rendering behavior, and React-specific failure patterns.
Scans codebases to generate architecture documentation (ARCHITECTURE.md). Use when joining an existing project, understanding codebase structure, exploring project architecture,…
Overview of the project's tech stack, directory structure, and architectural patterns.
Explain project-specific concepts, technical terms, models, algorithms, configuration items, dataset fields, architecture decisions, and codebase terminology while working in a…
Scaffolds per-repository agent context so coding agents share the same issue tracker rules, triage label vocabulary, domain glossary, ADR layout, and handoff conventions.
Используй этот скилл при работе с инфраструктурой Atome Studio — Docker, Docker Compose, CI/CD, GitHub Actions, деплой, окружения, мониторинг, переменные окружения, Dockerfile,…
All-in-one project configuration and health management. Sets up new projects (settings.local.json, CLAUDE.md, .gitignore), audits existing projects (permissions, context quality,…
Obtains detailed project information including framework, architecture, technologies, patterns, and dependencies.
Load project architecture and structure knowledge. Use when you need to understand how this project is organized.
프로젝트 기반 프로그래밍 학습 가이드. 기존 코드를 읽고 리팩토링하면서 React, Tailwind, Next.js, TypeScript, Zustand, Axios를 배우는 커리큘럼을 실행합니다.
When working in a codebase you've touched before, consult and update the persistent project model maintained by presence.
Unity project reconnaissance advisor. Load this FIRST in existing projects before proposing architecture changes — inspects Unity version, packages, asmdefs, folders, coding…
Two-pass first-principles project seeding methodology for greenfield or brownfield work. Trigger when the user is kicking off a new project, starting significant work on an…
Use for PocketTorch architecture, phase alignment, repository structure, dependency decisions, broad planning, and keeping the project small, honest, and aligned with AGENTS.md.
Custom test patterns and fixtures for {project}. Covers E2E, integration, and specialized testing requirements. — from engineering/testing
Custom test patterns and fixtures for {project}. Covers E2E, integration, and specialized testing requirements. — from bg-szy/TOP-SKILLS
Add new backlog items (features, changes, bugs, refactors, pages, components, scenes, scripts, a11y, performance) with optional thinking rounds.
List, switch, and configure Railway projects. Use when user wants to list all projects, switch projects, rename a project, enable/disable PR deploys, make a project…
Prometheus metrics for LLM/AI inference telemetry. Token throughput counters, KV-cache hit/miss rates, latency histograms, model queue depth gauges, and Grafana dashboard…
Builds custom Prometheus exporters using the prometheus_client Python SDK and Go client_golang library.
Reviews Prometheus instrumentation in Go code for proper metric types, labels, and patterns. Use when reviewing code with prometheus/client_golang metrics.
Validates and tests Prometheus alerting rules against historical metrics data using the Prometheus HTTP API /api/v1/query_range endpoint.
Use when writing JavaScript or TypeScript that returns a Promise chain (.then) or awaits a value, to ensure every rejection path has a handler before the rejection escapes the…
Analisa equidade de promoções por gênero. CSV de promoções + (opcional) CSV de população elegível → HTML executivo com taxas por gênero, gap F vs M, áreas com maior disparidade,…
OCI artifact promotion pipeline from PR merge through integration validation to live deployment.
Design, review, or refactor prompt assembly systems with static and dynamic prompt boundaries, section registries, cache-aware composition, feature-gated overlays, and…
Optimize prompt systems for cache efficiency, stable prefixes, fork-safe reuse, compact summarization, and instruction budgets.
Restructure an LLM call to maximize prompt-cache hit rate and add response/semantic caching — move the stable prefix (system prompt, instructions, few-shot, context) to the front…
Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache prompt, resp — from…
Loaded when user builds with Anthropic API and needs to cut cost or latency via prompt caching. Covers TTL, cache breakpoints, stacking, invalidation, and measuring hit rate.
프롬프트 캐시 최적화 전략 — Dynamic Boundary 배치, 토큰 예산 관리, 정적/동적 영역 분리. Use when optimizing prompt structure, managing token budgets, or configuring CLAUDE.md layout for cache efficiency.
Write and refine production-grade prompts and tool definitions for Claude. Use when the user needs to craft a system prompt, improve an existing prompt, design tool schemas (ACI),…
Master prompt engineering for AI models: LLMs, image generators, video models. Techniques: chain-of-thought, few-shot, system prompts, negative prompts.
Master prompt engineering for AI models: LLMs, image generators, video models. Techniques: chain-of-thought, few-shot, system prompts, negative prompts.
Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting strategies, or debug age — from…
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for syst — from…
Advanced expert in prompt engineering, custom instructions design, and prompt optimization for AI agents
Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft — from…
Solopreneurler için pratik prompt mühendisliği rehberi — Claude ve ChatGPT ile verimli çalışma
Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial resul — from…
A Senior AI Engineer interviewer that simulates a technical interview focused on prompt engineering and LLM architecture at scale.
Guarantee valid JSON/XML/code structure during generation, use Pydantic models for type-safe outputs, support local models (Transformers, vLLM), and maximize inference sp — from…
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability. — from Asymmetric-al/core
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
Techniques avancées de prompt engineering pour LLMs. Se déclenche avec "prompt engineering", "prompt", "system prompt", "few-shot", "chain of thought", "meilleur prompt" — from…
Publishable Prompt Engineering skill package that compiles a user request into a ready-to-use high-quality Prompt, with support for diagnosis, module injection, debugging, and…
Ein umfassendes System zur Erstellung, Verwaltung, Archivierung und Orchestrierung von Prompts für LLMs.
Versioniert alle Spalten- und Zeilenprompts mit semantischer Versions-ID — patch fuer Wortlautfeinheiten minor fuer geaenderte Antworttypen oder Ampelregeln major fuer geaenderte…
Configures and runs LLM evaluation using Promptfoo framework. Use when setting up prompt testing, creating evaluation configs (promptfooconfig.yaml), writing Python custom…
Build, debug, or plan work with The Prompting Company through its API, MCP Server, CLI, or SDK entrypoints.
Build API test suites — endpoint testing, contract testing, load testing for REST/GraphQL/gRPC APIs. Use when asked to "test this API", "API tests", "endpoint testing", "contract…
Audit test suite health — find flaky tests, slow tests, coverage gaps, and testing anti-patterns. Use when asked to "audit tests", "fix flaky tests", "why are tests slow", "test…
Proof-driven development - design proofs from requirements, then execute CREATE -> VERIFY -> REMEDIATE cycle.
Build E2E test specs for critical user journeys — Playwright or Cypress, page objects, setup/teardown, CI config.
Testing reconnaissance — inventory all tests, frameworks, coverage, CI integration, and assess testing maturity for project takeover.
Produce a test strategy for a project or feature — risk map, test type decisions, coverage targets, CI config.
Automate Proofly tasks via Rube MCP (Composio). Always search tools first for current schemas. — from engineering/cloud-platforms