搜索「Command Line Interface」的结果

io.github.JKHeadley/threadline-mcp

Agent-to-agent messaging relay. Discover agents, send messages, and receive replies. Zero-config.

io.github.toolwright-adk/linear-bootstrap

Bootstrap Linear projects from natural language — milestones, epics, issues, and dependencies.

io.github.saajunaid/junai-mcp

Agentic pipeline orchestration MCP server for AI-driven development workflows.

io.github.lukisch/bach-filecommander-mcp

43 tools for filesystem, process management, sessions, search, OCR, ZIP, and PDF export.

io.github.lukisch/bach-codecommander-mcp

17 tools for code analysis, JSON repair, encoding fix, format conversion, diff, and regex.

io.github.mrorigo/bash-command-mcp

Sophisticated bash command MCP server that runs and manages shell execution.

io.github.mintlineai/mintline-mcp

Connect AI assistants to your Mintline receipts, transactions, and spending analytics.

io.github.IamNishant51/atlas-pipeline

7-stage AI pipeline MCP server: Intent→Context→Git→Decompose→Variants→Critique→Optimize

com.kekwanu/syncline-mcp-server-python

Syncline MCP Server (Python) - AI-powered meeting scheduling with intelligent auto-scheduling

com.kekwanu/syncline-mcp-server

Syncline MCP Server (TypeScript) - AI-powered meeting scheduling with intelligent auto-scheduling

run.syncline/mcp-server

AI-powered meeting scheduling with intelligent auto-scheduling for Claude and AI agents.

ai.smithery/lineex-pubmed-mcp-smithery

Search PubMed with precision using keyword and journal filters and smart sorting. Uncover MeSH ter…

io.github.bytedance/mcp-server-commands

An MCP server to run arbitrary commands

io.github.anthropics/skills/brand-guidelines

Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.

io.github.microsoft/PowerToys/ui-tests-pipeline-ci

Microsoft FTE-only workflow for validating setup, queueing, autonomously waiting for, and stabilizing PowerToys UI Test Automation through an existing Azure CLI session and Azure DevOps REST APIs. Use after local VM suites pass, when asked to run UITests CI, perform a setup preflight/readiness check, diagnose repeated az login prompts or 401/403 permission failures, reuse a successful build, inspect recordings/artifacts, or manage the three-run limit. Includes an agent-owned foreground completion waiter. Keywords: FTE, az, Azure CLI, Azure DevOps, pipeline, UI Test Automation, UITests CI, buildNow, specificBuildId, uiTestModules, CI flake.

io.github.tabler/tabler/build-pipeline

Understand or repair the Tabler asset pipeline — `core/dist`, `tmp-assets/`, the generated `public/` directories, the `copy-assets` Astro integration, `build-css.ts`, the vite/terser JS builds and the turbo dev graph. Use when assets are missing, stale, duplicated or growing between builds, when a watcher's output disappears after a restart, when a page 404s on `/dist/css/tabler.css`, and before editing anything under `.build/`, a package's asset manifest in `astro.config.mjs`, or the dev/build scripts.

io.github.TryGhost/Ghost/tinybird-cli-guidelines

Tinybird CLI commands, workflows, and operations. Use when running tb commands, managing local development, deploying, or working with data operations.

io.github.affaan-m/ECC/cost-aware-llm-pipeline

Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching. Use when LLM spend needs to come down, or when routing tasks across model tiers and budgets.

io.github.affaan-m/ECC/cost-aware-llm-pipeline

LLM API 使用成本优化模式 —— 基于任务复杂度的模型路由、预算跟踪、重试逻辑和提示缓存。

io.github.affaan-m/ECC/cost-aware-llm-pipeline

LLM APIの使用量のコスト最適化パターン — タスクの複雑さによるモデルルーティング、予算追跡、リトライロジック、プロンプトキャッシング。

io.github.github/awesome-copilot/gem-devops-guidelines

Design or review infrastructure, deployment, CI/CD, Docker, Kubernetes, health checks, rollback, feature flags, production readiness, and mobile release workflows. Use for DevOps, platform, container, pipeline, or release tasks.

io.github.addyosmani/agent-skills/api-and-interface-design

Guides stable API and interface design. Use when designing APIs, module boundaries, or any public interface. Use when creating REST or GraphQL endpoints, defining type contracts between modules, or establishing boundaries between frontend and backend.

io.github.affaan-m/ECC/orch-pipeline

Shared orchestration engine for the orch-* skill family. Defines the gated Research-Plan-TDD-Review-Commit pipeline, the size classifier, the agent map, and the two human gates that the orch-* operation skills delegate to. Not usually invoked directly. Not usually invoked directly; it applies when an orch-* skill delegates its gated Research-Plan-TDD-Review-Commit pipeline.

io.github.affaan-m/ECC/ralphinho-rfc-pipeline

RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration. Use when running RFC-driven multi-agent execution with quality gates and a merge queue.