python-script
Create robust Python automation with full logging and safety checks. Use when tasks need complex data processing, authenticated API work, conditional file operations, or error handling beyond simple shell commands.
openlist
Manage files on an OpenList (AList-compatible) cloud storage server. Use when the user wants to list, search, copy, move, rename, delete, upload, or download files on cloud storage managed by OpenList/AList. Triggers on phrases like "openlist", "alist", "manage cloud storage", "network drive", or file operations against a self-hosted file server. Also use when the user mentions Emby, Jellyfin, or media library organization on cloud storage.
mason
>
lark
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kreuzberg
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humanizer
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gws
Use the `gws` CLI to interact with Google Workspace services — Gmail, Drive, Sheets, Calendar, Docs, Tasks, Chat, and more. Trigger this skill whenever the user wants to read/send email, manage Drive files, update spreadsheets, check calendars, create tasks, send Chat messages, or run any Google Workspace operation. Also trigger when the user mentions Google Workspace, Google APIs, or asks to automate anything across Gmail/Drive/Sheets/Calendar/Docs/Tasks/Chat. Use this skill even when the request seems simple — gws can handle it in one command.
grill
>
designer
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handoff
Transfer context to a new focused session. Use when starting a new phase of work, handing off to a new session, or when context needs to be summarized for continuation. Triggers on "handoff", "transfer context", "start new session with context", or when the user wants to continue work in a fresh session.
report-writing
Structure and write comprehensive research reports with proper citations. Use when finalizing research findings into a formal report.
skill-creator
Create new skills following a structured 4-phase workflow. Use when you need to build reusable agent skills with proper validation.
data-synthesis
Synthesize findings from multiple research sources into coherent insights. Use when combining data from different sub-agents or research threads.
academic-search
Search academic paper repositories (arXiv, Semantic Scholar) for scholarly articles in physics, mathematics, computer science, quantitative biology, AI/ML, and related fields
mcaf-code-review
Prepare for, perform, or tighten code review workflow: PR scope, review checklist, reviewer expectations, and merge hygiene. Use when shaping pull requests, defining review policy, or auditing whether a change is review-ready.
mcaf-solution-governance
Set up or refine solution-level governance for MCAF repositories: root and project-local `AGENTS.md`, rule precedence, solution topology, skill routing, and maintainability-limit policy placement. Use when bootstrapping a repo, restructuring a multi-project solution, or tightening agent rules.
mcaf-solid-maintainability
Apply SOLID, SRP, cohesion, composition-over-inheritance, and small-file discipline to code changes. Use when refactoring large files or classes, setting maintainability limits in `AGENTS.md`, documenting justified exceptions, or reviewing design quality.
mcaf-security-baseline
Apply baseline engineering security guidance: secrets handling, secure defaults, threat modelling references, and review checkpoints for auth, data flow, pipelines, and external integrations. Use when a change has security impact but does not require a full standalone AppSec engagement.
mcaf-observability
Design or improve observability for application and delivery flows: logs, metrics, traces, correlation, alerts, and operational diagnostics. Use when a change affects runtime visibility, failure diagnosis, SLOs, or alerting.
mcaf-nfr
Capture or refine non-functional requirements such as accessibility, reliability, scalability, maintainability, performance, and compliance. Use when a feature or architecture change needs explicit quality attributes and trade-offs.
mcaf-ml-ai-delivery
Apply ML/AI project delivery guidance for data exploration, feasibility, experimentation, testing, responsible AI, and operating ML systems. Use when the repo includes model training, inference, data science workflows, or ML-specific delivery planning.
mcaf-human-review-planning
Plan a human review for a large AI-generated code drop by reading the target area, tracing the natural user and system flows, identifying the riskiest boundaries, and prioritizing the files a human should inspect first. Use when the codebase is too large to review line-by-line and you need a practical review sequence plus a prioritized file list.
mcaf-feature-spec
Create or update a feature spec under `docs/Features/` with business rules, user flows, system behaviour, verification, and Definition of Done. Use when the user asks for a feature spec, executable requirements, acceptance criteria, behaviour documentation, or a pre-implementation plan for non-trivial behaviour changes.
mcaf-agile-delivery
Shape delivery workflow around backlog quality, roles, ceremonies, and engineering feedback. Use when defining how the team plans, tracks work, and turns feedback into durable improvements.
mcaf-architecture-overview
Create or update `docs/Architecture.md` as the global architecture map for a solution. Use when bootstrapping a repo, onboarding, or changing modules, boundaries, or contracts. Keep it navigational and use `references/overview-template.md` for scaffolding.
mcaf-source-control
Set or refine source-control policy for repository structure, branch naming, merge strategy, commit hygiene, and secrets-in-git discipline. Use when bootstrapping a repo, tightening PR flow, or documenting branch and release policy.
mcaf-ui-ux
Use UI/UX engineering guidance for design systems, accessibility, front-end technology selection, and design-to-development collaboration. Use when bootstrapping a UI project, choosing front-end stack, or tightening design and accessibility practices.
mcaf-testing
Add or update automated tests for a change using the repository’s verification rules in `AGENTS.md`. Use when implementing a feature, bugfix, refactor, or regression test; prefer stable integration/API/UI coverage and pull deeper test strategy from the bundled references.
mcaf-documentation
Create or refine durable engineering documentation: docs structure, navigation, source-of-truth placement, and writing quality. Use when a repo’s docs are missing, stale, duplicated, or hard to navigate, or when adding new durable engineering guidance.
mcaf-devex
Improve developer experience for multi-component solutions: onboarding, F5 contract, cross-platform tasks, local inner loop, and reproducible setup. Use when the repo is hard to run, debug, test, or onboard into.
mcaf-ci-cd
Design or refine CI/CD workflows, quality gates, release flow, and safe AI-assisted pipeline authoring. Use when adding or changing build pipelines, release stages, IaC-driven environments, or deployment rollback policy.
mcaf-adr-writing
Create or update an ADR under `docs/ADR/` for architectural decisions, dependency changes, data-model changes, or cross-cutting policy shifts. Use when the user asks to write, update, or document an ADR, record a design decision, capture architecture trade-offs, or justify a repo-wide technical policy.
lobster-bioinformatics
Run bioinformatics analyses using Lobster AI - single-cell RNA-seq, bulk RNA-seq, literature mining, dataset discovery, quality control, and visualization. Use when analyzing genomics data, searching for papers/datasets, or working with H5AD, CSV, GEO/SRA accessions, or biological data. Requires lobster-ai package installed.
rails-upgrade
Analyze Rails application upgrade path. Checks current version, finds latest release, fetches upgrade notes and diffs, then performs selective upgrade preserving local customizations.
api-design
Use this skill when designing or implementing REST APIs, endpoints, routes, or controllers.
testing-strategies
Use this skill when writing tests, implementing TDD, or setting up test infrastructure.
acli-jira
This skill should be used when the user asks to "run acli jira commands", "create a Jira issue", "search Jira issues", "manage Jira projects", "transition Jira status", "check jira issue", "consistent with jira issue", or mentions ACLI, Atlassian CLI, Jira CLI, Jira issue keys (e.g. KAN-1, PROJ-123), or jira workitem/project/board/sprint operations via the command line.
typescript-best-practices
Use this skill when working with TypeScript code, type definitions, interfaces, generics, or async patterns.
glab-cli
This skill should be used when the user asks to "run glab commands", "create a GitLab issue", "create a merge request", "check pipeline status", "manage GitLab projects", "create a release", or mentions glab, GitLab CLI, gitlab-cli, merge request, MR, GitLab pipeline, GitLab CI, GitLab issue keys, or gitlab operations via the command line.
conductor-methodology
Use this skill when the user asks about Conductor concepts, workflow patterns, track lifecycle, plan structures, or context-driven development principles. Also activate when working with conductor/ directory files or when implementing tasks following TDD and verification protocols.
java-best-practices
Use this skill when working with Java code, Optional handling, CompletableFuture, records, sealed classes, or virtual threads.
xstate
Helps create XState v5 state machines in TypeScript and React. Use when building state machines, actors, statecharts, finite state logic, actor systems, or integrating XState with React/Vue/Svelte components.
review-git-workdir
Review Git working directory.
pencil-design
Design UIs in Pencil (.pen files) and generate production code from them. Use when working with .pen files, designing screens or components in Pencil, or generating code from Pencil designs. Triggers on tasks involving Pencil, .pen files, design-to-code workflows, or UI design with the Pencil MCP tools.
frontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.
speak
Automatically announces plans, issues, and summaries out loud using TTS. Use this skill PROACTIVELY after completing major tasks like finalizing a plan, resolving an issue, or generating a summary. Each project gets a unique voice so users can identify which project is speaking from another room. Providers fallback in order (google, openai, elevenlabs, say) on rate limits.
autofix
Auto-fix CodeRabbit review comments - get CodeRabbit review comments from GitHub and fix them interactively or in batch
code-review
AI-powered code review using CodeRabbit. Default code-review skill. Trigger for any explicit review request AND autonomously when the agent thinks a review is needed (code/PR/quality/security).
mind-clone
Activate a Cognitive Digital Twin. Can simulate a custom subject (via core/ directory) OR load pre-installed celebrity/expert personas (from personas/ directory).
accessibility-review
Reviews UI for accessibility issues against WCAG 2.1/2.2 AA. Triggers on "is this accessible?", "check accessibility", or contrast/a11y review requests.
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