cloud
122
use-gfs-mcp
GFS MCP Server for AI agent integration. Provides Model Context Protocol tools for database version control with automatic schema versioning.
Guepard-Corp
devops
結果数
53,183
クエリに一致するスキル
現在のページ
954
全 2660 ページ
キーワード
ai
名前・タグ・説明で検索
literature-writing
122
writestory
Layered fiction writing system using Will Storr's storytelling science and rhetorical figures. USE WHEN write story, fiction, novel, short story, book, chapter, story bible, character arc, plot outline, creative writing, worldbuilding, narrative, mystery writing, dialogue, prose, series planning.
Steffen025
lifestyle
philosophy-ethics
122
science
Universal thinking and iteration engine based on the scientific method. USE WHEN user says "think about", "figure out", "try approaches", "experiment with", "test this idea", "iterate on", "improve", "optimize", OR any problem-solving that benefits from structured hypothesis-test-analyze cycles. THE meta-skill that other workflows implement.
Steffen025
lifestyle
project-management
121
confidence-honesty
Force honest confidence assessment before claiming conclusions. Triggers on 'root cause identified', 'problem identified', 'complete clarity'. Express confidence as percentage, explain what's stopping 100%, validate assumptions before presenting.
NTCoding
business
llm-ai
121
questions-are-not-instructions
Ensures questions are answered literally before taking action. Triggers on user input containing '?' or patterns like 'why did you...?', 'will that work?', 'have you considered...?'. Use when user asks about your decisions, challenges an approach, or requests assessment. Prevents interpreting questions as implicit instructions or criticism.
NTCoding
data-ai
testing
121
tdd-process
Strict test-driven development state machine with red-green-refactor cycles. Enforces test-first development, meaningful failures, minimum implementations, and full verification. Activates when user requests: 'use a TDD approach', 'start TDD', 'test-drive this'.
NTCoding
testing-security
architecture-patterns
121
software-design-principles
Object-oriented design principles including object calisthenics, dependency inversion, fail-fast error handling, feature envy detection, and intention-revealing naming. Activates during code refactoring, design reviews, or when user requests design improvements.
NTCoding
development
architecture-patterns
121
tactical-ddd
Design, refactor, analyze, and review code by applying the principles and patterns of tactical domain-driven design.
NTCoding
development
architecture-patterns
121
architect-refine-critique
Three-phase design review. Chain architect → refiner → critique subagents.
NTCoding
development
testing
121
writing-tests
Principles for writing effective, maintainable tests. Covers naming conventions, assertion best practices, and comprehensive edge case checklists. Based on BugMagnet by Gojko Adzic.
NTCoding
testing-security
debugging
121
observability-first-debugging
Systematic debugging methodology that eliminates guessing and speculation. Add instrumentation to gather specific data that fully explains the problem. Evidence before hypothesis. Observation before solution.
NTCoding
tools
full-stack
121
tripy-new-operation
Add a new operation to nvtripy. Use when: implementing a new op, adding a frontend op, creating a trace op, registering an op in the API. Covers the full Frontend → Trace → MLIR pipeline including export decorators, constraint definitions, and init registration.
NVIDIA
development
mobile
121
swift-best-practices
This skill should be used when writing or reviewing Swift code for iOS or macOS projects. Apply modern Swift 6+ best practices, concurrency patterns, API design guidelines, and migration strategies. Covers async/await, actors, MainActor, Sendable, typed throws, and Swift 6 breaking changes.
sammcj
development
package-distribution
121
pypi-release
This skill should be used when releasing tunacode-cli to PyPI. It keeps the existing local release checks, then hands the actual PyPI upload to a GitHub Actions workflow that uses the repository's PYPI_API_TOKEN secret.
alchemiststudiosDOTai
development
cloud
121
aws-strands-agents-agentcore
Use when working with AWS Strands Agents SDK or Amazon Bedrock AgentCore platform for building AI agents. Provides architecture guidance, implementation patterns, deployment strategies, observability, quality evaluations, multi-agent orchestration, and MCP server integration.
sammcj
devops