AGENT SKILLS · ミッション装備

実際に使われている Agent Skills

公開リポジトリの検証済み Skills を比較し、機能、内容、導入状況、出典を確認してから追加できます。

掲載範囲
検証済み
Skills
23,248
リポジトリ
3589
最終同期
2026/11/04
23,248 Skills
TerminalSkills
コミュニティ

goose

Goose is an open-source AI agent (desktop app, CLI and API, written in Rust) that runs on your machine, edits files, runs shell commands and connects to tools through MCP extensions. Use when the user asks to set up goose, run it headless in scripts or CI, write a goose recipe, add an MCP extension, switch LLM providers, or compare goose with other coding agents.

導入数
—
GitHub Stars
192
更新日
11月4日
TerminalSkills
コミュニティ

gptzero

Integrates the GPTZero API for AI content detection: a hosted detector that classifies a text as human-written, AI-generated or mixed, with per-sentence probability scores — text scanning, file upload, batch processing. Use when: programmatic AI content scanning, academic integrity tools, content moderation pipelines.

導入数
—
GitHub Stars
192
更新日
11月4日
TerminalSkills
コミュニティ

gradio

Gradio is a Python library that turns a function into a web UI and an API, used for machine-learning demos. Use it when a user asks to build a demo for a model, make a chatbot UI, accept image, audio or file input, share a prototype through a temporary public link, call a Gradio app from code, or deploy a demo to Hugging Face Spaces.

導入数
—
GitHub Stars
192
更新日
11月4日
TerminalSkills
コミュニティ

grafana

Grafana is an open-source visualization and dashboarding platform that connects to dozens of data sources including Prometheus, PostgreSQL, ClickHouse, and Elasticsearch. It lets you build interactive dashboards with panels, set up alerting rules, and manage everything as code through JSON dashboard definitions and provisioning configuration.

導入数
—
GitHub Stars
192
更新日
11月4日
TerminalSkills
コミュニティ

graphql

Build and consume GraphQL APIs. Use when a user asks to create a GraphQL server, write GraphQL schemas, implement resolvers, set up subscriptions, build a GraphQL API, add authentication to GraphQL, optimize queries with DataLoader, implement pagination, handle file uploads, generate types from schema, consume a GraphQL endpoint, or migrate from REST to GraphQL. Covers Apollo Server, Apollo Client, schema design, resolvers, subscriptions, federation, and production patterns.

導入数
—
GitHub Stars
192
更新日
11月4日
TerminalSkills
コミュニティ

graphql-yoga

GraphQL Yoga is a fully featured GraphQL server from The Guild that runs on any JavaScript runtime (Node.js, Bun, Deno, Cloudflare Workers, AWS Lambda). Use this skill when asked to build a GraphQL API with graphql-yoga, add subscriptions, file uploads, response caching, depth limits, rate limiting or error masking, or move from Apollo Server to Yoga and Envelop plugins.

導入数
—
GitHub Stars
192
更新日
11月4日
TerminalSkills
コミュニティ

great-expectations

Great Expectations (GX Core) is a Python framework for testing and documenting data quality. Use when a user wants to define expectations about a dataset (nulls, ranges, uniqueness, allowed values), validate a pandas DataFrame or a SQL table against them, wire a checkpoint into a pipeline, or generate Data Docs that show what passed and failed.

導入数
—
GitHub Stars
192
更新日
11月4日
TerminalSkills
コミュニティ

groq

Expert guidance for Groq, the LLM inference platform that provides the fastest token generation speeds available, powered by custom LPU (Language Processing Unit) hardware. Helps developers integrate Groq's API for real-time AI applications where latency matters — chatbots, code completion, and streaming responses.

導入数
—
GitHub Stars
192
更新日
11月4日
TerminalSkills
コミュニティ

grow-sustainably

Works out how fast a small business can grow on its own money and capacity, and whether a specific commitment (a hire, a lease, an ad budget, a large contract) is affordable. Computes contribution margin, break-even, cash buffer, acquisition payback, the customer ceiling set by churn, the growth rate working capital can fund, and a stress case, then writes guardrails with thresholds. Use when someone asks "can we afford to hire", "should we spend more on ads", "how fast can we grow without raisi

導入数
—
GitHub Stars
192
更新日
11月4日
TerminalSkills
コミュニティ

growth-hacking

Design and execute growth experiments for rapid user acquisition and retention. Use when tasks involve viral loops, referral programs, conversion funnel optimization, A/B testing strategies, CAC/LTV analysis, product-led growth, activation rate improvement, cohort analysis, or scaling user growth through data-driven experimentation. Covers the full growth lifecycle from acquisition through retention.

導入数
—
GitHub Stars
192
更新日
11月4日
TerminalSkills
コミュニティ

grpc

Build high-performance RPC services with gRPC and Protocol Buffers. Use when a user asks to create gRPC services, define protobuf schemas, implement streaming RPCs, build microservice communication, set up service-to-service calls, implement bidirectional streaming, add interceptors/middleware to gRPC, generate client stubs, handle gRPC errors, implement health checks, configure load balancing, or build gRPC-Web for browser clients. Covers unary, server/client/bidirectional streaming, intercepto

導入数
—
GitHub Stars
192
更新日
11月4日
TerminalSkills
コミュニティ

grype

Grype is an open-source vulnerability scanner from Anchore that finds known CVEs in container images, directories and SBOMs. Use it to scan images in CI/CD, fail builds on severity, triage and suppress false positives, upload SARIF to GitHub code scanning, or scan Syft-generated SBOMs.

導入数
—
GitHub Stars
192
更新日
11月4日
TerminalSkills
コミュニティ

gsap

GSAP is a JavaScript animation library for tweens, timelines, scroll-driven animation (ScrollTrigger), SVG morphing and text splitting. Use it when building complex timelines, scroll-linked animations, SVG morphing, text animations, or high-performance web animations beyond CSS capabilities.

導入数
—
GitHub Stars
192
更新日
11月4日
TerminalSkills
コミュニティ

guidance

Guidance is Microsoft's open-source Python library for controlling LLM output with constrained generation: you interleave text, control flow, regex, select() choices and JSON schemas, and the model can only emit tokens that fit. Use when a user needs guaranteed-valid JSON, classification into fixed labels, regex-shaped fields or a custom grammar from a local model (Transformers, llama.cpp), or asks for "guidance", "constrained decoding" or "structured output" without retry loops.

導入数
—
GitHub Stars
192
更新日
11月4日
TerminalSkills
コミュニティ

hapi

hapi is a Node.js web framework for building HTTP APIs from configuration: routes declare their validation, authentication, caching and CORS rules, and the framework enforces them before the handler runs. Use when a user asks to build or fix a hapi server, validate request payloads or responses with Joi, protect routes with JWT through @hapi/jwt, split an API into hapi plugins, cache results with server methods, hook into the request lifecycle, return errors with @hapi/boom, or test routes with

導入数
—
GitHub Stars
192
更新日
11月4日
TerminalSkills
コミュニティ

happy-dom

Run DOM tests without a browser using Happy DOM — fast JavaScript DOM implementation. Use when someone asks to "test without a browser", "Happy DOM", "fast DOM environment for tests", "replace jsdom", "Vitest DOM environment", or "server-side DOM". Covers test environment setup, Vitest/Jest integration, SSR testing, and performance comparison with jsdom.

導入数
—
GitHub Stars
192
更新日
11月4日
TerminalSkills
コミュニティ

hardhat

Hardhat 3 is a development environment for Ethereum smart contracts: it compiles Solidity, runs tests on a built-in simulated chain, deploys with Ignition and verifies on block explorers. Use when a user asks to set up a Solidity project, test or deploy smart contracts, fork mainnet, or check gas and coverage.

導入数
—
GitHub Stars
192
更新日
11月4日
TerminalSkills
コミュニティ

hashcat

GPU-accelerated password hash recovery with hashcat. Use when a user asks to crack NTLM/bcrypt/MD5/SHA/WPA hashes, run mask or rule-based attacks, convert a PCAP to a crackable hash, or benchmark hash cracking throughput on their own hardware.

導入数
—
GitHub Stars
192
更新日
11月4日
TerminalSkills
コミュニティ

hashicorp-vault

Assists with managing secrets, encryption keys, and dynamic credentials using HashiCorp Vault. Use when configuring secret engines, setting up dynamic database credentials, implementing access policies, integrating with Kubernetes, or using Transit for encryption as a service. Trigger words: vault, secrets management, dynamic secrets, transit engine, pki, approle, vault agent.

導入数
—
GitHub Stars
192
更新日
11月4日
TerminalSkills
コミュニティ

hasura

Hasura GraphQL Engine v2 generates a real-time GraphQL API (queries, mutations, subscriptions) over PostgreSQL and other databases, with row-level permissions per role. Use when a user asks to set up or self-host Hasura with Docker, write permission rules, add Actions or Event Triggers for business logic, or manage migrations and metadata with the Hasura CLI. Covers Hasura v2 (graphql-engine), not Hasura DDN (v3).

導入数
—
GitHub Stars
192
更新日
11月4日
TerminalSkills
コミュニティ

hatchet

Orchestrate background jobs and workflows with Hatchet — open-source distributed task queue with DAG workflows. Use when someone asks to "run background jobs", "Hatchet", "workflow orchestration", "distributed task queue", "durable execution", "replace Celery/Bull", or "DAG workflow engine". Covers workflow definition, step functions, retries, concurrency control, and event-driven triggers.

導入数
—
GitHub Stars
192
更新日
11月4日
TerminalSkills
コミュニティ

haystack

Haystack is an open-source Python framework by deepset for building RAG pipelines, search systems and LLM agents from composable components (document stores, retrievers, prompt builders, chat generators, agents). Use when the user wants to build or debug a Haystack pipeline, write a custom component, index documents for retrieval, build an agent with tools, or migrate code from Haystack 2.x to 3.x.

導入数
—
GitHub Stars
192
更新日
11月4日
TerminalSkills
コミュニティ

helicone

Helicone is an LLM observability platform and proxy that sits between your app and providers such as OpenAI and Anthropic, logging every request with cost, latency and user metadata, and adding caching, rate limits and retries through HTTP headers. Use when asked to "add Helicone", "log LLM requests", "track LLM cost per user", "cache OpenAI responses" or "monitor my LLM calls". Note: Helicone joined Mintlify in March 2026 and is in maintenance mode.

導入数
—
GitHub Stars
192
更新日
11月4日
TerminalSkills
コミュニティ

hermes-agent

Hermes Agent is Nous Research's open-source self-improving AI agent: a terminal and messaging-gateway agent that saves memories, writes and patches its own skills from experience, and searches its past sessions. Use when a user asks to install or configure Hermes Agent, pick its model provider, inspect or gate what it learns (memory, skills, background review, curator), embed it in Python, or build a self-improving AI agent or adaptive assistant that improves with usage.

導入数
—
GitHub Stars
192
更新日
11月4日