CI/CD
Continuous integration and deployment
Shared SwiftUI App Workflow
by mosif16
"End-to-end Xcode workflow for architecting, debugging, profiling, and shipping a shared SwiftUI app on iOS and macOS."
secure-coding-audit
by vchirrav
Audit code for security vulnerabilities using OWASP Secure Coding rules. Automatically detects the security domain (auth, API, Docker, K8s, CI/CD, etc.) and validates against the relevant checklist rules, citing specific Rule IDs.
sast-semgrep
by vchirrav
Run Semgrep SAST scans on code. Supports 30+ languages with OWASP, security, and custom rulesets. Parses results and provides remediation guidance.
Article Pipeline
by 0xAxiom
Ratio: 5:2 (1250x500px) for X Articles
build-quality-gates
by Zpankz
Systematic methodology for implementing comprehensive build quality gates using BAIME framework. Achieved 98% error coverage with 17.4s detection time, reducing CI failures from 40% to 5%. Validated Results: - V_instance: 0.47 → 0.876 (+86%) - V_meta: 0.525 → 0.933 (+78%) - Error Coverage: 30% → 98% (+227%) - CI Failure Rate: 40% → 5% (-87.5%) - Detection Time: 480s → 17.4s (-96.4%)
platform-migration
by DauQuangThanh
Guides infrastructure and platform migration including cloud-to-cloud migration (AWS to GCP, Azure to AWS), Kubernetes cluster migration, CI/CD platform changes, monitoring stack migration, identity provider migration, and network infrastructure transformation. Covers IaC migration, container orchestration, service mesh, observability tools, and multi-cloud strategies. Use when migrating infrastructure, changing cloud providers, moving Kubernetes clusters, or when users mention "cloud migration", "platform switch", "infrastructure migration", "K8s migration", "multi-cloud", or "cloud provider change".
Identity
by devkdas
The MCP server provides all the same tools and capabilities described in this SKILL.md, natively discovered through the Model Context Protocol.
Cross-Cutting Concerns
by Zpankz
Systematic methodology for standardizing cross-cutting concerns (error handling, logging, configuration) through pattern extraction, convention definition, automated enforcement, and CI integration. Use when codebase has inconsistent error handling, ad-hoc logging, scattered configuration, need automated compliance enforcement, or preparing for team scaling. Provides 5 universal principles (detect before standardize, prioritize by value, infrastructure enables scale, context is king, automate enforcement), file tier prioritization framework (ROI-based classification), pattern extraction workflow, convention selection process, linter development guide. Validated with 60-75% faster error diagnosis (rich context), 16.7x ROI for high-value files, 80-90% transferability across languages (Go, Python, JavaScript, Rust). Three concerns addressed: error handling (sentinel errors, context preservation, wrapping), logging (structured logging, log levels), configuration (centralized config, validation, environment variables).
CI/CD Optimization
by Zpankz
Comprehensive CI/CD pipeline methodology with quality gates, release automation, smoke testing, observability, and performance tracking. Use when setting up CI/CD from scratch, build time over 5 minutes, no automated quality gates, manual release process, lack of pipeline observability, or broken releases reaching production. Provides 5 quality gate categories (coverage threshold 75-80%, lint blocking, CHANGELOG validation, build verification, test pass rate), release automation with conventional commits and automatic CHANGELOG generation, 25 smoke tests across execution/consistency/structure categories, CI observability with metrics tracking and regression detection, performance optimization including native-only testing for Go cross-compilation. Validated in meta-cc with 91.7% pattern validation rate (11/12 patterns), 2.5-3.5x estimated speedup, GitHub Actions native with 70-80% transferability to GitLab CI and Jenkins.
deploy
by clearsmog
Render and deploy documents to output directory for hosting. Supports Quarto slides and Typst PDFs.
release-readiness-checklist
by asteroid-belt
Interactive release readiness checklist with semantic versioning guidance. Use when preparing a software release, cutting a version, deploying to production, or when user asks about release preparation. Triggers on phrases like "prepare release", "release checklist", "ready to release", "cut a version", "version bump", or "/release-readiness-checklist".
ship
by open-horizon-labs
Deliver code to users. Optimize the path from merged code to working install. Use when execution is complete and you need to get changes into users' hands.
Knowledge Pipeline Skill
by drshailesh88
```
safe-deploy
by almeidamarcell
Enforces safe deployment practices. Use before any production deploy to prevent overwriting newer code. Activated when deploying, pushing to production, or running deploy commands.
tikzjax-diagramming
by BitYoungjae
Create TikZ diagrams in Obsidian using TikZJax plugin. Use when visualizing geometric shapes, coordinate systems, game scenes, circuit diagrams, chemical structures, or complex technical drawings that require precise positioning.
x-algo-pipeline
by CloudAI-X
Explain the complete X recommendation algorithm pipeline. Use when users ask how posts are ranked, how the algorithm works, or want an overview of the recommendation system.
daily-hot-news
by one-box-u
每日热榜技能 - 查询微博、知乎、B站、抖音等54个平台的热榜数据，支持定时推送和分类浏览。
optimize-prompt
by jbrukh
Optimize a prompt through a critique-compress pipeline with semantic equivalence verification at each stage. Applies think-critically to improve the prompt, then compress-prompt to reduce it, validating that behavior is preserved after each transformation.
autonomous-orchestration
by troykelly
Use when user requests autonomous operation across multiple issues. Orchestrates parallel workers, monitors progress, handles SLEEP/WAKE cycles, and works until scope is complete without user intervention.
ci-monitoring
by troykelly
Use after creating PR - monitor CI pipeline, resolve failures cyclically until green or issue is identified as unresolvable
context-collecter
by Przemocny
Zbiera, zapisuje i ładuje kontekst osobisty i firmowy w 20 warstwach informacyjnych. Tryb zapisu: "zapamiętaj że...", "zapisz że...", "zanotuj...", "dodaj do kontekstu...". Tryb briefingu: "zbierz kontekst o...", "przeprowadź wywiad o...", "uzupełnij warstwę...", "wyciągnij ze mnie info o...", "zbierz info o mojej roli / firmie / zespole", "opowiedz mi o swojej [kategorii]". Tryb montowania: "zamontuj kontekst...", "załaduj kontekst o...", "pokaż kontekst...", "daj mi kontekst o...", "co wiesz o mnie...", "podsumuj mój kontekst...". Tryb edycji: "popraw...", "zmień to że...", "usuń wpis...", "zaktualizuj...". Zawsze komunikuje się po polsku.
platform-knowledge
by DoubleslashSE
Deep knowledge of GitHub Actions, Railway, Supabase, and Postgres platforms. Use when troubleshooting, configuring, or optimizing any of these platforms.
pipeline
by jwilger
Autonomous build-phase orchestrator. Manages slice queue, TDD pair dispatch, full-team code review, mutation testing, CI integration, and auto-merge with quality gates. Replaces manual coordinator overhead during build phase. Activate when running factory mode with ensemble-team.
ensemble-team
by jwilger
Set up a full AI ensemble/mob programming team for any software project. Creates team member profiles (.team/), coordinator instructions (.team/coordinator-instructions.md), project owner constraints (PROJECT.md), team conventions (AGENTS.md), architectural decisions (docs/ARCHITECTURE.md), domain glossary, and supporting docs. Use when: (1) starting a new project and wanting a full expert agent team, (2) the user asks to "set up a team", "create a mob team", "set up ensemble programming", or "create agent profiles", (3) converting an existing project to the driver-reviewer mob model, (4) the user wants AI agents to work as a coordinated product team with retrospectives and consensus-based decisions.