Use when setting up CI/CD for projects - covers Makefile, GitHub Actions, semantic versioning, Docker images, multi-platform binaries, Node runtime-bundled tarballs and…
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.
Design and build LLM-powered projects from ideation through deployment. Use when starting new agent projects, choosing between LLM and traditional approaches, or structuring batch…
Используй этот скилл при работе с инфраструктурой Atome Studio — Docker, Docker Compose, CI/CD, GitHub Actions, деплой, окружения, мониторинг, переменные окружения, Dockerfile,…
Produces an Exploration Brief rating a project GREEN/YELLOW/RED for collaboration fit, with architecture snapshot, resonance map, and ranked entry points.
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.
Audit and safely refactor a repository's directory layout while preserving behavior, imports, build tooling, history, generated-file rules, and user.
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.
Use as the lead skill for any non-trivial request. It drives the full request→approval pipeline (classify, audit, requirements, applications, stack, architecture, phases, tasks)…
Background knowledge about WeReply project architecture, features, and context. Automatically loaded for AI reference, not directly user-invocable.
Background knowledge about CaCrFeedFormula project architecture, features, and context. Automatically loaded for AI reference, not directly user-invocable.
Write the mandatory FLiNG Downloader documentation records — a work log after any request that changes files, a code-review archive after reviewing code, and a PR record before…
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…
Audits an existing repository against BazelStarterTemplate and brings it in line, one concern at a time - hermetic Bazel build, devenv and git hooks, format/lint tests, unit tests…
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…
prolog, symbolic-reasoning, constraints, invariants, verification, debugging, mcp
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.
Design application metrics, Prometheus scraping topologies, PromQL queries, alerting rules, and Grafana dashboards as code.
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 or audit durable agent instructions, runtime constitutions, Skill metadata, agent-to-agent and subagent briefs, bootstrap/install prompts, and instruction hierarchy without…
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…
Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache prompt, resp — from…
Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache prompt, resp — from…
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 the Arcanean Prompt Language - advanced prompt engineering using mythological frameworks, constraint architecture, and the Centaur Principle for human-AI co-creation
Figure out why a prompt isn't working and fix it — diagnose the actual failure (ambiguity, missing context, wrong format, conflicting instructions) instead of randomly rewording.
Writes, refactors, and evaluates prompts for LLMs — generating optimized prompt templates, structured output schemas, evaluation rubrics, and test suites.
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…
Engineer effective LLM prompts using zero-shot, few-shot, chain-of-thought, and structured output techniques.
Prompt engineering knowledge base — technique taxonomy with decision tree, prompt template patterns and formatting conventions, OWASP LLM Top 10 security checklist, eval…
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…
Best practices for designing high-quality prompts: Chain-of-Thought, Few-shot, Role Prompting, Self-Consistency, and output structuring.
Prompt engineering for Claude API, system prompts, context management, instruction design, depth levels, HTML generation.
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…
Advanced prompt engineering techniques for optimal AI responses. Use this when crafting prompts, optimizing AI interactions, or designing system prompts for applications.
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
Provides workflows to write, debug, and optimize prompts for LLMs, including few-shot example selection, chain-of-thought structuring, system prompt design, and template…