affaan-m
310 skills with substantive source documentation and an official publisher or observed installation demand. Read each skill’s original documentation through its card.
affaan-mcontinuous-agent-loop
Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls. Use when running an agent loop that must self-check, gate on evals, and recover from failures.
- instalações
- 4
- GitHub Stars
- 286,1 mil
- Atualizado
- 20 de out.
affaan-mcontinuous-learning
[DEPRECATED - use continuous-learning-v2] Legacy v1 stop-hook skill extractor. v2 is a strict superset with instinct-based, project-scoped, hook-reliable learning. Do not invoke v1: when continuous learning, session learning, or pattern extraction is requested, route to continuous-learning-v2 instead.
- instalações
- 4
- GitHub Stars
- 286,1 mil
- Atualizado
- 20 de out.
affaan-mcpp-testing
Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.
- instalações
- 4
- GitHub Stars
- 286,1 mil
- Atualizado
- 20 de out.
affaan-mdatabase-migrations
Safe, reversible database migration patterns: forward-only production changes, expand-contract zero-downtime renames, concurrent indexes, batched backfills, and per-tool workflows for PostgreSQL, Prisma, Drizzle, Kysely, Django, and golang-migrate. Use when writing a schema or data migration, adding a column or index to a large table, planning a rollback, or preparing a zero-downtime deploy.
- instalações
- 4
- GitHub Stars
- 286,1 mil
- Atualizado
- 20 de out.
affaan-mdjango-tdd
Django testing strategies with pytest-django, TDD methodology, factoryboy, mocking, coverage, and testing Django REST Framework APIs. Use when writing Django or DRF tests with pytest-django, or driving a Django feature test-first.
- instalações
- 4
- GitHub Stars
- 286,1 mil
- Atualizado
- 20 de out.
affaan-mdocker-patterns
Docker and Docker Compose patterns for local development, hardened CLI installer harnesses, container security, networking, volumes, and multi-service orchestration. Use when creating or reviewing Dockerfiles and Compose services, testing installers across Linux distributions, or planning accurate native macOS and Windows validation.
- instalações
- 4
- GitHub Stars
- 288,1 mil
- Atualizado
- 20 de out.
affaan-meval-harness
Eval-driven development (EDD) framework for AI coding sessions — define capability and regression evals before coding, grade with code-based, model-based, rule, or human graders, and track pass@k and pass^k reliability. Use when defining pass/fail criteria for agent tasks, measuring agent reliability, building regression suites for prompt or agent changes, or benchmarking across model versions.
- instalações
- 4
- GitHub Stars
- 286,1 mil
- Atualizado
- 20 de out.
affaan-mhomelab-network-readiness
Readiness checklist for homelab VLAN segmentation, local DNS filtering (Pi-hole, AdGuard Home), and WireGuard-style remote access. Use when planning or reviewing home network changes — splitting a flat network into trusted, IoT, guest, or management VLANs, moving DHCP to a local resolver, or adding VPN access — before changing router, firewall, DHCP, or VPN configuration.
- instalações
- 4
- GitHub Stars
- 286,1 mil
- Atualizado
- 20 de out.
affaan-mhomelab-network-setup
Practical home and homelab network planning for gateways, switches, access points, IP ranges, DHCP reservations, DNS, cabling, and common beginner mistakes. Use when planning or fixing a home or homelab network — gateway, switch, AP, IP ranges, DHCP, DNS, or cabling.
- instalações
- 4
- GitHub Stars
- 286,1 mil
- Atualizado
- 20 de out.
affaan-mhomelab-pihole-dns
Pi-hole installation, blocklist management, DNS-over-HTTPS setup, DHCP integration, local DNS records, and troubleshooting broken DNS resolution on a home network. Use when the task explicitly involves Pi-hole — installing it, managing blocklists, configuring DoH or DHCP, adding local DNS records, or diagnosing DNS resolution with Pi-hole in the path.
- instalações
- 4
- GitHub Stars
- 286,1 mil
- Atualizado
- 20 de out.
affaan-mhomelab-vlan-segmentation
Segmenting home networks into VLANs for IoT, guest, trusted, and server traffic using UniFi, pfSense/OPNsense, and MikroTik — including switch trunk config, firewall rules, and wireless SSID mapping. Use when splitting a home network into IoT, guest, trusted, and server VLANs on UniFi, pfSense/OPNsense, or MikroTik.
- instalações
- 4
- GitHub Stars
- 286,1 mil
- Atualizado
- 20 de out.
affaan-mhomelab-wireguard-vpn
WireGuard VPN server setup, peer configuration, key generation, split tunneling vs full tunnel routing, and remote access to a home network from mobile and laptop clients. Use when setting up WireGuard for remote access to a home network, or deciding between split and full tunnel routing.
- instalações
- 4
- GitHub Stars
- 286,1 mil
- Atualizado
- 20 de out.
affaan-mliquid-glass-design
iOS 26 Liquid Glass design system — dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit. Use when building iOS 26 Liquid Glass UI in SwiftUI, UIKit, or WidgetKit.
- instalações
- 4
- GitHub Stars
- 286,1 mil
- Atualizado
- 20 de out.
affaan-mmarket-research
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.
- instalações
- 4
- GitHub Stars
- 288,1 mil
- Atualizado
- 20 de out.
affaan-mmotion-foundations
Motion tokens, spring presets, performance rules, device adaptation, accessibility enforcement, and SSR safety for React / Next.js using motion/react. Foundation layer — all other motion skills depend on this. Use when setting up motion tokens, spring presets, reduced-motion handling, or SSR-safe animation in React or Next.js.
- instalações
- 4
- GitHub Stars
- 286,1 mil
- Atualizado
- 20 de out.
affaan-mprompt-optimizer
Analyze draft prompts, detect intent and missing context, match ECC commands, skills, and agents, and output a ready-to-paste optimized prompt with diagnosis and rationale — advisory only, never executes the task. Use when the user says 'optimize prompt', 'improve my prompt', 'rewrite this prompt', 'help me prompt', 优化prompt, 改进prompt, 怎么写prompt, or 帮我优化这个指令; not for requests to optimize code or performance.
- instalações
- 4
- GitHub Stars
- 286,1 mil
- Atualizado
- 20 de out.
affaan-mreact-native-patterns
React Native and Expo app patterns — Expo Router navigation, state separation (server/client/route/form), TanStack Query data fetching with Zod, performant lists, NativeWind/StyleSheet styling, native APIs, and secure storage. Use when building or editing React Native / Expo screens, components, navigation, or data layers.
- instalações
- 4
- GitHub Stars
- 286,1 mil
- Atualizado
- 20 de out.
affaan-mreact-patterns
React 18/19 patterns including hooks discipline, server/client component boundaries, Suspense + error boundaries, form actions, data fetching, state management decision trees, and accessibility-first composition. Use when writing or reviewing React components.
- instalações
- 4
- GitHub Stars
- 286,1 mil
- Atualizado
- 20 de out.
affaan-mreact-performance
React and Next.js performance optimization patterns adapted from Vercel Engineering's React Best Practices (https://github.com/vercel-labs/agent-skills). Organizes 70+ rules across 8 priority categories — waterfalls, bundle size, server-side, client fetching, re-render, rendering, JS micro-perf, advanced. Use when writing, reviewing, or refactoring React/Next.js code for performance.
- instalações
- 4
- GitHub Stars
- 286,1 mil
- Atualizado
- 20 de out.
affaan-mrust-testing
Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology. Use when writing Rust tests — unit, integration, async, property-based, or coverage.
- instalações
- 4
- GitHub Stars
- 286,1 mil
- Atualizado
- 20 de out.
affaan-mswiftui-patterns
SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices. Use when building or reviewing SwiftUI views, @Observable state, navigation, or render performance.
- instalações
- 4
- GitHub Stars
- 286,1 mil
- Atualizado
- 20 de out.
affaan-maccessibility
Design, implement, and audit accessible UI to WCAG 2.2 Level AA across Web, iOS, and Android — semantic ARIA roles and labels, accessibility traits and hints, focus management, contrast, target size, and screen-reader support. Use when building or auditing UI for accessibility compliance, keyboard navigation, or screen-reader support.
- instalações
- 3
- GitHub Stars
- 286,1 mil
- Atualizado
- 20 de out.
affaan-magent-architecture-audit
Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.
- instalações
- 3
- GitHub Stars
- 286,1 mil
- Atualizado
- 20 de out.
affaan-magent-eval
Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.
- instalações
- 3
- GitHub Stars
- 286,1 mil
- Atualizado
- 20 de out.