AGENT SKILLS · ミッション装備 / affaan-m

affaan-m · Agent Skills

310 skills with substantive source documentation and an official publisher or observed installation demand. Read each skill’s original documentation through its card.

affaan-m
コミュニティ

prompt-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

導入数
3
GitHub Stars
28.6万
更新日
10月20日
affaan-m
コミュニティ

python-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.

導入数
3
GitHub Stars
28.8万
更新日
10月20日
affaan-m
コミュニティ

python-testing

Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements. Use when writing pytest tests — fixtures, mocks, parametrization, or coverage.

導入数
3
GitHub Stars
28.6万
更新日
10月20日
affaan-m
コミュニティ

quarkus-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.

導入数
3
GitHub Stars
28.6万
更新日
10月20日
affaan-m
コミュニティ

quarkus-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.

導入数
3
GitHub Stars
28.6万
更新日
10月20日
affaan-m
コミュニティ

quarkus-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.

導入数
3
GitHub Stars
28.6万
更新日
10月20日
affaan-m
コミュニティ

quarkus-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.

導入数
3
GitHub Stars
28.6万
更新日
10月20日
affaan-m
コミュニティ

rails-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.

導入数
3
GitHub Stars
28.6万
更新日
10月20日
affaan-m
コミュニティ

ralphinho-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.

導入数
3
GitHub Stars
28.6万
更新日
10月20日
affaan-m
コミュニティ

recsys-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.

導入数
3
GitHub Stars
28.6万
更新日
10月20日
affaan-m
コミュニティ

recursive-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.

導入数
3
GitHub Stars
28.6万
更新日
10月20日
affaan-m
コミュニティ

redis-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.

導入数
3
GitHub Stars
28.6万
更新日
10月20日
affaan-m
コミュニティ

regex-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.

導入数
3
GitHub Stars
28.7万
更新日
10月20日
affaan-m
コミュニティ

remotion-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.

導入数
3
GitHub Stars
28.7万
更新日
10月20日
affaan-m
コミュニティ

repo-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.

導入数
3
GitHub Stars
28.6万
更新日
10月20日
affaan-m
コミュニティ

research-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.

導入数
3
GitHub Stars
28.6万
更新日
10月20日
affaan-m
コミュニティ

returns-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.

導入数
3
GitHub Stars
28.6万
更新日
10月20日
affaan-m
コミュニティ

rules-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.

導入数
3
GitHub Stars
28.6万
更新日
10月20日
affaan-m
コミュニティ

rust-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.

導入数
3
GitHub Stars
28.8万
更新日
10月20日
affaan-m
コミュニティ

safety-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.

導入数
3
GitHub Stars
28.6万
更新日
10月20日
affaan-m
コミュニティ

santa-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.

導入数
3
GitHub Stars
28.6万
更新日
10月20日
affaan-m
コミュニティ

scientific-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.

導入数
3
GitHub Stars
28.6万
更新日
10月20日
affaan-m
コミュニティ

scientific-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.

導入数
3
GitHub Stars
28.6万
更新日
10月20日
affaan-m
コミュニティ

scientific-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.

導入数
3
GitHub Stars
28.6万
更新日
10月20日