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Des Agent Skills utiles, classés selon leur usage réel.
Comparez les Skills vérifiés par fonction, contenu, installations et fiabilité de la source avant de les ajouter.
- PÉRIMÈTRE
- VÉRIFIÉ
- Skills
- 5 771
- dépôts
- 824
- dernière synchronisation
- 8 sept. 2026
affaan-mnuxt4-patterns
Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData. Use when building or reviewing a Nuxt 4 app, or debugging hydration mismatches and SSR-safe data fetching.
- installations
- 1
- GitHub Stars
- 253,2 k
- Mis à jour
- 7 sept.
affaan-morch-add-feature
Orchestrate building a brand-new feature end to end — research, plan, TDD implementation, review, and gated commit — by delegating each phase to the matching ECC agent. Use when adding a capability that does not exist yet.
- installations
- 1
- GitHub Stars
- 253,2 k
- Mis à jour
- 7 sept.
affaan-morch-build-mvp
Orchestrate bootstrapping a working MVP from a design or spec document — ingest the doc, plan thin vertical slices, scaffold the first end-to-end slice, then TDD-implement, review, and gated commit. Use to turn an SDD/PRD into a running starting point. Use when a design or spec document must become a running MVP through planned vertical slices.
- installations
- 1
- GitHub Stars
- 253,2 k
- Mis à jour
- 7 sept.
affaan-morch-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.
- installations
- 1
- GitHub Stars
- 253,2 k
- Mis à jour
- 7 sept.
affaan-mparallel-execution-optimizer
Use when the user wants a task done much faster through parallel work, concurrent agents, batched tool calls, isolated worktrees, or many independent verification lanes without losing correctness.
- installations
- 1
- GitHub Stars
- 253,2 k
- Mis à jour
- 7 sept.
affaan-mperl-patterns
Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications. Use when writing or reviewing modern Perl 5.36+ code.
- installations
- 1
- GitHub Stars
- 253,2 k
- Mis à jour
- 7 sept.
affaan-mperl-testing
Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology. Use when writing Perl tests with Test2::V0 or Test::More, or measuring coverage.
- installations
- 1
- GitHub Stars
- 253,2 k
- Mis à jour
- 7 sept.
affaan-mplan-canvas
Open plans and HTML artifacts in a local browser canvas where the human annotates elements, chats, and approves or requests changes without leaving the page. Use when presenting a plan for review, or when feedback like "move this, change that" is easier pointed at than typed.
- installations
- 1
- GitHub Stars
- 253,2 k
- Mis à jour
- 7 sept.
affaan-mplan-orchestrate
Read a plan document, decompose it into steps, design a per-step agent chain from the ECC catalogue, and emit ready-to-paste /orchestrate custom prompts. Generative only — never invokes /orchestrate itself. Use when the user has a multi-step plan and wants to drive it through orchestrate without composing chains by hand.
- installations
- 1
- GitHub Stars
- 253,2 k
- Mis à jour
- 7 sept.
affaan-mplankton-code-quality
Write-time code quality enforcement using Plankton — auto-formatting, linting, and Claude-powered fixes on every file edit via hooks. Use when setting up write-time formatting, linting, or auto-fix hooks on file edits.
- installations
- 1
- GitHub Stars
- 253,2 k
- Mis à jour
- 7 sept.
affaan-mpostgres-patterns
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices. Use when designing PostgreSQL schemas, indexes, or RLS policies, or when a query is too slow.
- installations
- 1
- GitHub Stars
- 253,2 k
- Mis à jour
- 7 sept.
affaan-mprediction-market-oracle-research
Research prediction markets as data sources or oracle signals for products, agents, dashboards, and corporate decision intelligence. Use for source-grounded analysis of market-implied probabilities, caveats, and integration patterns without investment advice. Use when evaluating prediction markets as a data source or oracle signal for a product, agent, or dashboard.
- installations
- 1
- GitHub Stars
- 253,2 k
- Mis à jour
- 7 sept.
affaan-mprediction-market-risk-review
Review prediction-market, basket, oracle, and trading-agent workflows for compliance, safety, data-quality, privacy, and execution risk. Use before any workflow handles venue auth, user portfolio data, API keys, or trade planning.
- installations
- 1
- GitHub Stars
- 253,2 k
- Mis à jour
- 7 sept.
affaan-mprisma-patterns
Prisma ORM patterns for TypeScript backends — schema design, query optimization, transactions, pagination, and critical traps like updateMany returning count not records, $transaction timeouts, migrate dev resetting the DB, @updatedAt skipped on bulk writes, and serverless connection exhaustion. Use when writing a Prisma schema or query, or debugging transactions, migrations, or serverless connection limits.
- installations
- 1
- GitHub Stars
- 253,2 k
- Mis à jour
- 7 sept.
affaan-mproduct-capability
Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.
- installations
- 1
- GitHub Stars
- 253,2 k
- Mis à jour
- 7 sept.
affaan-mproduct-lens
Use this skill to validate the "why" before building, run product diagnostics, and pressure-test product direction before the request becomes an implementation contract.
- installations
- 1
- GitHub Stars
- 253,2 k
- Mis à jour
- 7 sept.
affaan-mproduction-audit
Local-evidence production readiness audit for shipped apps, pre-launch reviews, post-merge checks, and "what breaks in prod?" questions without sending repo data to an external audit service. Use when auditing production readiness before launch, after a merge, or when asked what breaks in prod.
- installations
- 1
- GitHub Stars
- 253,2 k
- Mis à jour
- 7 sept.
affaan-mproduction-scheduling
Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.
- installations
- 1
- GitHub Stars
- 253,2 k
- Mis à jour
- 7 sept.
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
- 1
- GitHub Stars
- 253,2 k
- Mis à jour
- 7 sept.
affaan-mquality-nonconformance
Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.
- installations
- 1
- GitHub Stars
- 253,2 k
- Mis à jour
- 7 sept.
affaan-mquarkus-patterns
Quarkus 3.x LTS architecture patterns with Camel for messaging, RESTful API design, CDI services, data access with Panache, and async processing. Use for Java Quarkus backend work with event-driven architectures. Use when building or reviewing a Quarkus service, especially with Camel messaging or Panache data access.
- installations
- 1
- GitHub Stars
- 253,2 k
- Mis à jour
- 7 sept.
affaan-mralphinho-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.
- installations
- 1
- GitHub Stars
- 253,2 k
- Mis à jour
- 7 sept.
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.
- installations
- 1
- GitHub Stars
- 253,2 k
- Mis à jour
- 7 sept.
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.
- installations
- 1
- GitHub Stars
- 253,2 k
- Mis à jour
- 7 sept.