AGENT SKILLS · 임무 장비
실제 사용량으로 검증된 유용한 Agent Skills
공개 저장소의 검증된 Skills를 기능, 패키지 구성, 설치 수, 출처 근거에 따라 비교할 수 있습니다.
- 카탈로그 범위
- 검증 완료
- Skills
- 23,248
- 저장소
- 3589
- 최근 동기화
- 2026. 11. 4.
affaan-mito-baskets
Read-only Itô basket and prediction-market data skill. Index the live basket catalog, compare a basket against user-supplied research or a watchlist, build a source-grounded market brief, or draft a non-executable planning worksheet. Use when a user asks to browse or index Itô baskets, compare a basket against notes or a thesis, research prediction-market events/venues/liquidity, or plan a basket or market idea without trading. Never advises, orders, trades, reserves, or executes.
- 1시간 설치 수
- 3
- GitHub Stars
- 28.6만
- 업데이트
- 10월 20일
affaan-mito-compute
Query live GPU inventory, submit an authenticated Itô fixed-rate RFQ, inspect RFQ or procurement status, revoke device credentials, and run explicitly gated node qualification through the separately installed canonical CLI. Use when a user asks to find H100/H200 capacity, request a fixed compute rate, check Itô compute status, validate GPU nodes, revoke Itô access, or rent or purchase GPU compute and needs the supported boundary explained.
- 1시간 설치 수
- 3
- GitHub Stars
- 28.6만
- 업데이트
- 10월 20일
affaan-mito-inference
Inspect the availability of model serving on a completed Itô compute booking and, when the canonical backend becomes available, hand off an explicitly confirmed serving manifest. Use after ito-compute has booked GPU nodes and the user asks for an OpenAI-compatible endpoint, ito-serve, hosted Kimi, or self-hosted open-weights inference. ECC implements no serving stack of its own.
- 1시간 설치 수
- 3
- GitHub Stars
- 28.6만
- 업데이트
- 10월 20일
affaan-mito-training
Inspect the availability of ML training on a completed Itô compute booking and, when the canonical backend becomes available, hand off an explicitly confirmed training manifest. Use after ito-compute has booked GPU nodes and the user wants pre-training, fine-tuning, or RL on that metal. ECC implements no training stack of its own.
- 1시간 설치 수
- 3
- GitHub Stars
- 28.6만
- 업데이트
- 10월 20일
affaan-mknowledge-ops
Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.
- 1시간 설치 수
- 3
- GitHub Stars
- 28.6만
- 업데이트
- 10월 20일
affaan-mkotlin-exposed-patterns
JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern. Use when working with the Exposed ORM — DSL or DAO queries, transactions, pooling, or migrations.
- 1시간 설치 수
- 3
- GitHub Stars
- 28.6만
- 업데이트
- 10월 20일
affaan-mkotlin-ktor-patterns
Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing. Use when building a Ktor server — routing, plugins, auth, DI, serialization, or tests.
- 1시간 설치 수
- 3
- GitHub Stars
- 28.6만
- 업데이트
- 10월 20일
affaan-mkotlin-testing
Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices. Use when writing Kotlin tests with Kotest or MockK, or testing coroutines and checking coverage.
- 1시간 설치 수
- 3
- GitHub Stars
- 28.6만
- 업데이트
- 10월 20일
affaan-mkubernetes-patterns
Kubernetes workload patterns, resource management, RBAC, probes, autoscaling, ConfigMap/Secret handling, and kubectl debugging for production-grade deployments. Use when writing or reviewing Kubernetes manifests, or debugging probes, RBAC, autoscaling, or resource limits.
- 1시간 설치 수
- 3
- GitHub Stars
- 28.6만
- 업데이트
- 10월 20일
affaan-mlaravel-plugin-discovery
Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.
- 1시간 설치 수
- 3
- GitHub Stars
- 28.6만
- 업데이트
- 10월 20일
affaan-mlaravel-verification
Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness. Use when verifying a Laravel project before merge or deploy — lint, static analysis, tests, coverage, security.
- 1시간 설치 수
- 3
- GitHub Stars
- 28.6만
- 업데이트
- 10월 20일
affaan-mlatency-critical-systems
Optimize and verify latency-sensitive systems — realtime dashboards, market data feeds, streaming agents, execution gateways, queues, and caches — by tracking p50/p95/p99 latency, freshness age, and queue depth, mapping hot paths, and running live readbacks. Use when p95 latency, throughput, or data freshness matters.
- 1시간 설치 수
- 3
- GitHub Stars
- 28.6만
- 업데이트
- 10월 20일
affaan-mlead-intelligence
AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.
- 1시간 설치 수
- 3
- GitHub Stars
- 28.6만
- 업데이트
- 10월 20일
affaan-mliving-docs-governance
Keep a long-lived project's documentation from rotting by assigning existing project docs clear constitution, map, status, and history roles, then wiring the active agent harness to those canonical sources. Use in the maintain phase when docs drift from code, agents lose context between sessions, or intentional removals keep being recreated. Prefer adopting the repository's current docs structure over creating new root files. 中文触发：文档治理、活文档、项目状态追踪、防文档漂移、项目地图、健康仪表盘、删除区、长期项目治理
- 1시간 설치 수
- 3
- GitHub Stars
- 28.6만
- 업데이트
- 10월 20일
affaan-mlogistics-exception-management
Codified freight-exception handling expertise for shipment delays, damages, losses, shortages, and carrier disputes, with escalation protocols, carrier-specific behaviors by mode, claims procedures, and eat-the-cost vs fight-the-claim judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.
- 1시간 설치 수
- 3
- GitHub Stars
- 28.6만
- 업데이트
- 10월 20일
affaan-mmailtrap-email-integration
Guides agents through integrating transactional email sending via Mailtrap's Email API, including sandbox testing, domain verification, and API authentication. Use when implementing email-sending features, debugging delivery issues, or setting up safe dev/staging email testing.
- 1시간 설치 수
- 3
- GitHub Stars
- 28.6만
- 업데이트
- 10월 20일
affaan-mmake-interfaces-feel-better
Apply concrete design-engineering details that make interfaces feel polished. Use when reviewing or improving UI spacing, typography, borders, shadows, motion, hit areas, icons, text wrapping, and interaction states.
- 1시간 설치 수
- 3
- GitHub Stars
- 28.6만
- 업데이트
- 10월 20일
affaan-mmanim-video
Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.
- 1시간 설치 수
- 3
- GitHub Stars
- 28.6만
- 업데이트
- 10월 20일
affaan-mmaster-agreement-generator
Generate review drafts of counterparty master agreements from one template plus a JSON spec, with role-selected clauses and a Schedule A workflow limited to the executed agreement's notice authority. Use when you need reproducible drafting and separately reviewed execution preparation.
- 1시간 설치 수
- 3
- GitHub Stars
- 28.6만
- 업데이트
- 10월 20일
affaan-mmcp-server-patterns
Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API. Use when building or debugging an MCP server — tools, resources, prompts, validation, or transport choice.
- 1시간 설치 수
- 3
- GitHub Stars
- 28.6만
- 업데이트
- 10월 20일
affaan-mml-adoption-playbook
End-to-end methodology for AI agents and software engineers to add machine learning algorithms to existing non-ML codebases. Covers problem framing, data readiness, architectural decoupling, and baseline model integration. Use when adding a machine learning capability to a codebase that has none, from problem framing through a baseline model.
- 1시간 설치 수
- 3
- GitHub Stars
- 28.6만
- 업데이트
- 10월 20일
affaan-mmodule-regression
Govern cross-module regression in large repositories with a REGRESSION.md ledger that records each module's downstream consumers and executable acceptance command. After a change, run the changed module and every affected downstream command, and use observed exit codes as regression evidence under the project's delivery policy. Use for module regression, regression ledgers, impact audits, downstream verification, and changes where modifying A may break B.
- 1시간 설치 수
- 3
- GitHub Stars
- 28.6만
- 업데이트
- 10월 20일
affaan-mmotion-advanced
Advanced motion patterns for React / Next.js — drag & drop, gestures, text animations, SVG path drawing, custom hooks, imperative sequences (useAnimate), loaders, and the full API decision tree. Requires motion-foundations. Use when building drag and drop, gestures, text or SVG animation, or imperative animation sequences in React or Next.js.
- 1시간 설치 수
- 3
- GitHub Stars
- 28.6만
- 업데이트
- 10월 20일
affaan-mmybatis-patterns
MyBatis and MyBatis-Spring patterns for mapper design, XML and annotation SQL, result mapping, dynamic SQL safety, transactions, batching, pagination, and query performance. Use when building or reviewing Java persistence code with MyBatis, Spring Boot, MyBatis-Spring, or MyBatis-based legacy applications.
- 1시간 설치 수
- 3
- GitHub Stars
- 28.6만
- 업데이트
- 10월 20일