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-mprompt-caching-strategy
Optimize LLM prompt caching hit rate to reduce API costs and improve latency. Analyzes prompt structure, identifies cacheable vs non-cacheable content, and recommends restructuring to maximize cache reuse. TRIGGER when: user says "prompt cache", "cache hit rate", "reduce LLM cost", "optimize token usage", "cheaper LLM calls", or asks about prompt caching strategies for OpenAI/Anthropic/other providers. DO NOT TRIGGER when: user just wants to optimize a single prompt's quality (use prompt-optimiz
- installs
- 3
- GitHub stars
- 286.1K
- Updated
- Oct 20
affaan-mpython-patterns
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications. Use when writing or reviewing Python code and idiomatic structure, typing, or PEP 8 is in question.
- installs
- 3
- GitHub stars
- 288.1K
- Updated
- Oct 20
affaan-mpython-testing
Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements. Use when writing pytest tests — fixtures, mocks, parametrization, or coverage.
- installs
- 3
- GitHub stars
- 286.1K
- Updated
- Oct 20
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.
- installs
- 3
- GitHub stars
- 286.1K
- Updated
- Oct 20
affaan-mquarkus-security
Quarkus security implementation patterns: JWT and OIDC authentication, @RolesAllowed RBAC and SecurityIdentity checks, Bean Validation and custom validators, parameterized Panache queries, BCrypt password hashing, CORS and security headers, rate limiting, audit logging, Vault or environment-variable secrets, and dependency CVE scanning. Use when adding authentication or authorization, validating input, managing secrets, or hardening a Quarkus application.
- installs
- 3
- GitHub stars
- 286.1K
- Updated
- Oct 20
affaan-mquarkus-tdd
Test-driven development for Quarkus 3.x LTS using JUnit 5, Mockito, REST Assured, Camel testing, and JaCoCo. Use when adding features, fixing bugs, or refactoring event-driven services.
- installs
- 3
- GitHub stars
- 286.1K
- Updated
- Oct 20
affaan-mquarkus-verification
Verification loop for Quarkus projects: build, static analysis (Checkstyle, PMD, SpotBugs), tests with JaCoCo coverage, OWASP dependency and container security scans, GraalVM native compilation, health checks, and config validation. Use when verifying a Quarkus service before a PR, after major refactoring or dependency upgrades, or pre-deploy.
- installs
- 3
- GitHub stars
- 286.1K
- Updated
- Oct 20
affaan-mrails-patterns
Ruby on Rails framework patterns for Rails 7.1+ and 8.x apps. Covers the directory contract, skinny controllers with service objects, form objects, query objects, idiomatic ActiveRecord, background jobs, ViewComponent, Hotwire, and the Rails 8 Solid stack. Use when building or reviewing Rails apps, controllers, models, services, jobs, or views.
- installs
- 3
- GitHub stars
- 286.1K
- Updated
- Oct 20
affaan-mralphinho-rfc-pipeline
Split an RFC into a multi-agent execution DAG — decompose into work units with dependencies and acceptance tests, run research, plan, implement, test, and review per unit, then merge through a queue with re-based branches and final system verification. Use when a feature is too large for a single agent pass, orchestrating RFC-driven multi-agent execution, or managing merge queues across agent-built units.
- installs
- 3
- GitHub stars
- 286.1K
- Updated
- Oct 20
affaan-mrecsys-pipeline-architect
Design composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect framework popularized by xAI's open-sourced For You algorithm. Use this skill whenever the user is building any system that picks "the top K items for a (user, context)" — social feeds, content CMSs, RAG rerankers, task prioritizers, notification triage, search reranking, ad ranking.
- installs
- 3
- GitHub stars
- 286.1K
- Updated
- Oct 20
affaan-mrecursive-decision-ledger
Run repeated rollouts ("Prime Gauss" style recursive prompting) while keeping an append-only decision ledger of trials, marks, coherence checks, and promotion gates, so recursive confidence never auto-approves live trading, deploy, or destructive actions. Use when the user asks for repeated rollouts, marked decision processes, high-dimensional search, stochastic optimization, local-optima exploration, ensemble comparison, or recursive reasoning with a visible evidence trail.
- installs
- 3
- GitHub stars
- 286.1K
- Updated
- Oct 20
affaan-mredis-patterns
Redis data structure patterns, caching strategies, distributed locks, rate limiting, pub/sub, and connection management for production applications. Use when adding caching, a distributed lock, rate limiting, or pub/sub with Redis, or when key design needs review.
- installs
- 3
- GitHub stars
- 286.1K
- Updated
- Oct 20
affaan-mregex-vs-llm-structured-text
Decision framework for parsing structured text (quizzes, forms, invoices, receipts, tables) with a hybrid regex-first pipeline — regex extraction handles 95%+ cheaply, a confidence scorer flags low-confidence items, and an LLM validator fixes only the edge cases. Use when choosing between regex and LLM for text extraction, building a cheap document parser, or optimizing extraction cost and accuracy.
- installs
- 3
- GitHub stars
- 287.3K
- Updated
- Oct 20
affaan-mremotion-video-creation
Best practices for Remotion - Video creation in React. 29 domain-specific rules covering 3D, animations, audio, captions, charts, transitions, and more. Use when building video in React with Remotion — animations, audio, captions, charts, or transitions.
- installs
- 3
- GitHub stars
- 287.3K
- Updated
- Oct 20
affaan-mrepo-scan
Bootstrap pointer that installs the external repo-scan skill from a pinned, reviewable commit. Use when repo-scan must be installed before running its cross-stack source-code asset audit; this ECC pointer does not perform the audit itself.
- installs
- 3
- GitHub stars
- 286.1K
- Updated
- Oct 20
affaan-mresearch-ops
Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.
- installs
- 3
- GitHub stars
- 286.1K
- Updated
- Oct 20
affaan-mreturns-reverse-logistics
Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.
- installs
- 3
- GitHub stars
- 286.1K
- Updated
- Oct 20
affaan-mrules-distill
Scan skills to extract cross-cutting principles and distill them into rules — append, revise, or create new rule files. Use when the same principle keeps recurring across skills and belongs in a rule file instead.
- installs
- 3
- GitHub stars
- 286.1K
- Updated
- Oct 20
affaan-mrust-patterns
Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications. Use when writing or reviewing Rust code and ownership, error handling, traits, or concurrency is in question.
- installs
- 3
- GitHub stars
- 288.1K
- Updated
- Oct 20
affaan-msafety-guard
Guard against destructive operations with three modes: Careful intercepts dangerous commands (rm -rf, git push --force, DROP TABLE) for confirmation, Freeze locks writes to one directory, and Guard combines both via PreToolUse hooks. Use when working on production systems, running agents autonomously, restricting edits to a directory, or during migrations, deploys, and data changes.
- installs
- 3
- GitHub stars
- 286.1K
- Updated
- Oct 20
affaan-msanta-method
Multi-agent adversarial verification: two independent reviewers with the same rubric must both pass before output ships, with a fix-and-re-review convergence loop and human escalation cap. Use when gating publishing, production deploys, compliance or brand-sensitive content, or hallucination-prone claims before they ship.
- installs
- 3
- GitHub stars
- 286.1K
- Updated
- Oct 20
affaan-mscientific-db-pubmed-database
Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring. Use when a task needs biomedical literature from PubMed rather than general web search.
- installs
- 3
- GitHub stars
- 286.1K
- Updated
- Oct 20
affaan-mscientific-db-uspto-database
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs. Use when a task needs official United States patent or trademark records from USPTO systems.
- installs
- 3
- GitHub stars
- 286.1K
- Updated
- Oct 20
affaan-mscientific-pkg-gget
gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs. Use when a task needs quick bioinformatics lookup across genomic reference databases with the gget CLI or Python package.
- installs
- 3
- GitHub stars
- 286.1K
- Updated
- Oct 20