AGENT SKILLS · ミッション装備 / TerminalSkills

TerminalSkills · Agent Skills

1053 skills with substantive source documentation and an official publisher or observed installation demand. Read each skill’s original documentation through its card.

TerminalSkills

コミュニティ

incremental-implementation

Builds a change as a sequence of small steps, each of which leaves the project building, passing its checks and safe to merge or revert on its own. Use when a user asks to implement a feature that spans several files or layers, says "do this step by step", "break this into small commits", "this is too big for one change", "migrate without downtime", "keep the build green", or when a large change is about to be written in one pass. Produces a step plan with a check for every step and a short repo

導入数: 0
GitHub Stars: 180
更新日: 10月25日

infisical

Infisical is an open-source secrets management platform that stores API keys, database URLs and other secrets centrally and delivers them to apps, CI/CD pipelines and Kubernetes. Use when someone asks to "manage secrets", "Infisical", "centralize environment variables", "secrets manager", "replace .env files", "rotate API keys", "scan for leaked secrets", or "sync secrets to CI/CD".

導入数: 0
GitHub Stars: 180
更新日: 10月25日

influxdb

InfluxDB is an open-source time-series database for metrics, events and sensor data. Use when a user needs to run InfluxDB 2 or InfluxDB 3 Core, create buckets, databases and API tokens, write line protocol, query with Flux, SQL or InfluxQL, set retention periods, downsample data with tasks, or alert on thresholds.

導入数: 0
GitHub Stars: 180
更新日: 10月25日

inngest

Inngest is a durable workflow engine for TypeScript: functions are split into retryable steps whose results are saved, so a failure resumes where it stopped. Use it when a user asks for background jobs, scheduled (cron) jobs, multi-step workflows, delayed or drip emails, fan-out/fan-in processing, debouncing or rate limiting, or event-driven functions on serverless platforms such as Vercel, Netlify, AWS Lambda or Cloudflare. Covers the current v4 SDK (triggers inside the options object).

導入数: 0
GitHub Stars: 180
更新日: 10月25日

inquirer

Build interactive CLI prompts with Inquirer.js. Use when creating interactive terminal UIs, multi-step wizards, form-like CLI inputs, or configuration generators with user input.

導入数: 0
GitHub Stars: 180
更新日: 10月25日

instagram-marketing

Create, optimize, and automate Instagram content including Reels, Stories, carousels, and feed posts. Use when someone asks to "grow on Instagram", "create Instagram Reels", "Instagram content strategy", "Instagram API integration", "automate Instagram posting", "Instagram analytics", or "Instagram marketing". Covers Reels-first strategy, content format limits, the Instagram Graph API (publishing and insights), and growth tactics.

導入数: 0
GitHub Stars: 180
更新日: 10月25日

instructor

Instructor is a Python and TypeScript library that returns validated, typed objects from LLM calls using Pydantic models or Zod schemas, with automatic retries when validation fails, streaming of partial objects, and support for OpenAI, Anthropic, Gemini and local models. Use when someone asks to extract structured data from text, get JSON from an LLM that matches a schema, validate model output, or stream partial structured results.

導入数: 0
GitHub Stars: 180
更新日: 10月25日

intercom

Adds customer messaging and support to a product with Intercom: the Messenger chat widget, user identification, product tours, help center, and the REST API for contacts and messages. Use when a user asks to add in-app chat, install Intercom in a React or Next.js app, secure the Messenger with JWTs, track events for targeting, sync users to Intercom from a backend, or send in-app messages.

導入数: 0
GitHub Stars: 180
更新日: 10月25日

ionic

Ionic is an open-source framework for building cross-platform mobile, desktop, and progressive web apps using web technologies (HTML, CSS, JavaScript/TypeScript). Use when building apps with Ionic's UI components, integrating native device APIs via Capacitor, or deploying to iOS, Android, and web from a single codebase.

導入数: 0
GitHub Stars: 180
更新日: 10月25日

ios-debugger-agent

Builds an iOS app, installs and launches it on a simulator, then collects evidence about a runtime problem: unified logs, console output, screenshots, the accessibility tree, crash reports and an LLDB session. Works with Apple's command-line tools (xcodebuild, simctl, devicectl, lldb) and with Xcode's own MCP server when it is connected. Use when the user says "run the app on the simulator", "why does this screen stay blank", "it crashes on launch", "tap through the checkout flow and show me wha

導入数: 0
GitHub Stars: 180
更新日: 10月25日

ipfs

Store and retrieve files on IPFS (InterPlanetary File System). Use when a user asks to store files in a decentralized way, pin content on IPFS, upload NFT metadata, or use content-addressed storage.

導入数: 0
GitHub Stars: 180
更新日: 10月25日

iptables

iptables and nftables are the Linux kernel packet-filtering tools used to build host firewalls, open or block ports and set up NAT. Use when a user asks to set up a firewall on a Linux server, block or allow a port or IP, restrict SSH, configure masquerade or port forwarding, persist rules across reboots, migrate from iptables to nftables, or fix Docker and ufw conflicts.

導入数: 0
GitHub Stars: 180
更新日: 10月25日

iron-session

Stores login sessions in encrypted, signed cookies with iron-session, so a Next.js or Node.js app needs no session database. Use when a user asks for cookie-based session auth, stateless sessions, a login and logout flow with the App Router, protecting pages with a session, rotating the session password, or upgrading iron-session from v8 to v9.

導入数: 0
GitHub Stars: 180
更新日: 10月25日

istio

Istio is an open-source service mesh that adds traffic management, mTLS security and observability to Kubernetes workloads through sidecar proxies or ambient mode. Use when the user needs to install Istio, configure traffic routing and canary releases, mTLS, authorization policies, circuit breaking, fault injection, ingress gateways, or tracing for microservices.

導入数: 0
GitHub Stars: 180
更新日: 10月25日

jaeger

Collects, stores and visualizes distributed traces with Jaeger v2 so you can follow a request across microservices and find latency bottlenecks. Use when a user needs to deploy Jaeger, send OpenTelemetry traces to it, pick a storage backend such as Elasticsearch or OpenSearch, configure sampling, or query traces through the API.

導入数: 0
GitHub Stars: 180
更新日: 10月25日

jenkins-pipelines

Jenkins is an open-source automation server that runs CI/CD pipelines defined as code in a Jenkinsfile. Use when the user wants to write or fix a Jenkinsfile (declarative or scripted), set up multibranch pipelines, run stages in Docker or Kubernetes agents, create shared libraries, bind credentials and secrets, run stages in parallel, gate a deployment behind an approval, validate a Jenkinsfile with the linter, or troubleshoot build failures. Trigger words: jenkins, jenkinsfile, jenkins pipeline

導入数: 0
GitHub Stars: 180
更新日: 10月25日

jest

Jest is a JavaScript and TypeScript testing framework from the OpenJS Foundation that bundles a test runner, assertions, mocking, snapshots and code coverage in one package. Use it when you need to write unit tests, mock modules or timers, test async code, enforce coverage thresholds, run tests in watch mode, or wire Jest into CI for Node.js, React or TypeScript projects.

導入数: 0
GitHub Stars: 180
更新日: 10月25日

jev

Calls Jev, TypeSafe AI's "System One" model, which returns typed decisions (a choice, a score, or a yes/no probability) with calibrated probabilities instead of generated text. Use when a user asks to classify or route tickets, messages or documents, score leads or urgency, gate an agent action on a yes/no check, add a confidence threshold before acting, or get fast structured decisions through the TypeSafe API, LiteLLM or the Vercel AI Gateway.

導入数: 0
GitHub Stars: 180
更新日: 10月25日

jira

Manage projects, issues, and workflows with Jira Cloud. Use when a user asks to set up Jira projects, create and manage issues, configure workflows, build Jira integrations, automate issue transitions, set up boards (Scrum/Kanban), manage sprints, use Jira REST API v3, create webhooks, build custom JQL queries, configure permissions and schemes, set up automation rules, or integrate Jira with CI/CD pipelines. Covers project administration, issue tracking, agile boards, API automation, and Atlass

導入数: 0
GitHub Stars: 180
更新日: 10月25日

job-description

Create compelling job postings with requirements, responsibilities, and qualifications. Use when a user asks to write a job description, create a job posting, draft a job listing, build a role specification, define job requirements, or compose a hiring ad for a position.

導入数: 0
GitHub Stars: 180
更新日: 10月25日

job-queue

Build job queues and background worker systems using BullMQ, Celery, or Sidekiq. Use when you need to offload slow tasks from request handlers — email sending, PDF generation, image processing, data exports, or any work that takes more than a few hundred milliseconds. Covers job priorities, concurrency control, scheduled jobs, progress tracking, and graceful shutdown. Trigger words: background job, worker, queue, async task, BullMQ, Celery, cron job, scheduled task, job retry.

導入数: 0
GitHub Stars: 180
更新日: 10月25日

john-the-ripper

Crack password hashes offline with John the Ripper. Use when a user asks to identify an unknown hash format, recover a forgotten password from a local database or ZIP file, run a CTF hash challenge, or audit the strength of hashes from a system they own.

導入数: 0
GitHub Stars: 180
更新日: 10月25日

jotai

Jotai is a small state management library for React built on atoms: pieces of state that components subscribe to individually, so only the components reading a changed atom re-render. Use it when asked to add Jotai, replace useState prop drilling or Context, build derived or async state with atoms, persist a preference with atomWithStorage, or migrate Jotai v2 to v3.

導入数: 0
GitHub Stars: 180
更新日: 10月25日

jupyter

Assists with interactive data analysis, visualization, and reproducible research using Jupyter notebooks. Use when building notebooks that combine code with rich output, managing kernels, converting to reports, or parameterizing notebooks for batch execution. Trigger words: jupyter, notebook, jupyterlab, ipynb, nbconvert, papermill.

導入数: 0
GitHub Stars: 180
更新日: 10月25日

Apache-2.02 ファイル

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