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-mvideo-editing
AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.
- installations
- 6
- GitHub Stars
- 285,1 k
- Mis à jour
- 20 oct.
affaan-mbrand-voice
Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.
- installations
- 5
- GitHub Stars
- 285,1 k
- Mis à jour
- 20 oct.
affaan-mbun-runtime
Bun as runtime, package manager, bundler, and test runner. When to choose Bun vs Node, migration notes, and Vercel support.
- installations
- 5
- GitHub Stars
- 285,1 k
- Mis à jour
- 20 oct.
affaan-mcisco-ios-patterns
Cisco IOS and IOS-XE review patterns for show commands, config hierarchy, wildcard masks, ACL placement, interface hygiene, and safe change-window verification. Use when reading, writing, or reviewing Cisco IOS / IOS-XE configuration or planning a change window.
- installations
- 5
- GitHub Stars
- 285,1 k
- Mis à jour
- 20 oct.
affaan-mcontent-engine
Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.
- installations
- 5
- GitHub Stars
- 285,1 k
- Mis à jour
- 20 oct.
affaan-mcost-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.
- installations
- 5
- GitHub Stars
- 285,1 k
- Mis à jour
- 20 oct.
affaan-mdocumentation-lookup
Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).
- installations
- 5
- GitHub Stars
- 285,1 k
- Mis à jour
- 20 oct.
affaan-mfastapi-patterns
FastAPI best practices covering project structure, Pydantic v2 schemas, dependency injection, async handlers, authentication, authorization, transactional service layers, and testing with httpx and pytest. Use when building or reviewing FastAPI apps — Pydantic schemas, dependencies, async handlers, auth, or tests.
- installations
- 5
- GitHub Stars
- 285,1 k
- Mis à jour
- 20 oct.
affaan-mgolang-patterns
Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications. Use when writing or reviewing Go code and idiomatic structure or conventions are in question.
- installations
- 5
- GitHub Stars
- 286,1 k
- Mis à jour
- 20 oct.
affaan-mgolang-testing
Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices. Use when writing Go tests — table-driven cases, subtests, benchmarks, fuzzing, or coverage.
- installations
- 5
- GitHub Stars
- 286,1 k
- Mis à jour
- 20 oct.
affaan-mhexagonal-architecture
Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services. Use when introducing or refactoring toward Ports and Adapters, or when domain logic has become entangled with I/O.
- installations
- 5
- GitHub Stars
- 285,1 k
- Mis à jour
- 20 oct.
affaan-mjpa-patterns
JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot. Use when designing JPA entities or relationships, or when a Hibernate query, transaction, or N+1 problem needs fixing.
- installations
- 5
- GitHub Stars
- 285,1 k
- Mis à jour
- 20 oct.
affaan-mlaravel-patterns
Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps. Use when building or reviewing Laravel apps — controllers, Eloquent, service layers, queues, or API resources.
- installations
- 5
- GitHub Stars
- 285,1 k
- Mis à jour
- 20 oct.
affaan-mlaravel-security
Laravel security best practices — authentication, authorization, Eloquent safety, CSRF, XSS prevention, API security, and secure deployment configurations. Use when reviewing Laravel auth, Eloquent safety, CSRF, XSS, API security, or deployment configuration.
- installations
- 5
- GitHub Stars
- 286,1 k
- Mis à jour
- 20 oct.
affaan-mloop-design-check
Design a goal-oriented agent loop or review one for failure modes: spinning, Goodhart-gaming the verifier, or running a wrong answer to completion. Covers machine-decidable goals, loop types, plan/build/judge skeletons, and runaway prevention; mechanism wiring lives in autonomous-loops. Use when designing, writing, or checking an agent loop. 中文触发：写 loop、设计 loop、做一个 loop、检查 loop 对不对、loop 体检、loop 会不会跑飞、可判定目标、五个崩法、plan build judge。
- installations
- 5
- GitHub Stars
- 285,1 k
- Mis à jour
- 20 oct.
affaan-mmle-workflow
Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.
- installations
- 5
- GitHub Stars
- 285,1 k
- Mis à jour
- 20 oct.
affaan-mmysql-patterns
MySQL and MariaDB schema, query, indexing, transaction, replication, and connection-pool patterns for production backends. Use when designing MySQL or MariaDB schemas and indexes, or when a query, transaction, or replica lags.
- installations
- 5
- GitHub Stars
- 285,1 k
- Mis à jour
- 20 oct.
affaan-mpytorch-patterns
PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading. Use when writing or reviewing PyTorch training loops, model architectures, or data loading, or when a run will not reproduce.
- installations
- 5
- GitHub Stars
- 285,1 k
- Mis à jour
- 20 oct.
affaan-mquality-nonconformance
Quality control and non-conformance management for regulated manufacturing (FDA 21 CFR 820, IATF 16949, AS9100): NCR lifecycle and disposition, 5-Why/Ishikawa/fault-tree/8D root cause analysis, CAPA systems, SPC interpretation, AQL sampling, and supplier quality audits. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.
- installations
- 5
- GitHub Stars
- 285,1 k
- Mis à jour
- 20 oct.
affaan-mreact-testing
React component testing with React Testing Library, Vitest/Jest, MSW for network mocking, accessibility assertions with axe, and the decision boundary between component tests and Playwright/Cypress end-to-end runs. Use when writing or fixing tests for React components, hooks, or pages.
- installations
- 5
- GitHub Stars
- 286,1 k
- Mis à jour
- 20 oct.
affaan-mtasteforge-video
Use for file-driven multimodal image, video, and 3D-asset discovery; taste interviews; distill or apply workflows; style-pack validation; editable EDL/FCPXML export; provenance audits; and offline planning that must fail closed before provider generation.
- installations
- 5
- GitHub Stars
- 285,1 k
- Mis à jour
- 20 oct.
affaan-mvideodb
Ingest, index, search, edit, and monitor video and audio with the VideoDB Python SDK — upload from files, URLs, or RTSP feeds, build spoken and scene indexes with timestamped search and playable clips, transcode and reframe, do timeline edits (subtitles, overlays, dubbing), and run real-time alerts on live streams or desktop capture. Use when working with video search, transcription, clipping, transcoding, streaming, or live video alerts.
- installations
- 5
- GitHub Stars
- 285,1 k
- Mis à jour
- 20 oct.
affaan-magentic-os
Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.
- installations
- 4
- GitHub Stars
- 286,1 k
- Mis à jour
- 20 oct.
affaan-mautonomous-loops
Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems. Retained for compatibility only: when new autonomous loop guidance is needed, use continuous-agent-loop instead.
- installations
- 4
- GitHub Stars
- 286,1 k
- Mis à jour
- 20 oct.