atomic-commits
Group unstaged changes into atomic commits by concern, then push. Use when user asks to "atomic commits", "commit by group", "group commits", or wants to split changes into related commits before pushing.
channel-post
Compose and post formatted content to a Telegram channel -- MarkdownV2 escaping, message splitting, media ordering
simulate-mouse-demo
Run the SimulateMouse demo scenario on SimulateMouseDemoScene. Clicks buttons, long-presses, drags boxes, split-drags through waypoints, and operates the virtual pad. Use when the user asks to run the simulate-mouse demo, test mouse simulation, or exercise the demo scene.
ab-test-generator
Generate A/B test variants for affiliate content. Triggers on: "create A/B test", "test my headline", "optimize my CTA", "generate variants", "split test ideas", "improve click-through rate", "test my landing page copy", "headline alternatives", "CTA variations", "which version is better", "optimize conversions", "test my email subject line", "compare approaches".
gh-stack
Manages stacked PRs and splits multi-part work into reviewable branches with gh-stack. Use for stack creation, viewing, edits, push, submit, sync, rebase, merge, or checkout; when asked to split or isolate work for review; whenever a user mentions a stack, branch layers, dependent PRs, or gh stack; or when a stack is checked out.
chained-pr
Trigger: PRs over 400 lines, stacked PRs, review slices. Split oversized changes into chained PRs that protect review focus.
ai-coding-workflow
Use when the user wants to work with Codex, Claude Code, or other AI coding agents more efficiently, especially to avoid long-session slowdown, split large tasks into bounded steps, define scope and non-goals, separate diagnosis from implementation, compress context between sessions, or turn a vague coding request into a tighter execution prompt. Also use when the user asks for an AI coding prompt/template, asks why AI coding gets slower later in a task, or wants a repeatable collaboration workflow for medium-to-large codebases.
splitting-notes
Use when note files exceed 1000 lines or need better organization. Splits large note files into smaller, focused files with index files for navigation, following progressive grouping principles with clear hierarchy.
openapi-format
Configure and run openapi-format CLI workflows for OpenAPI/AsyncAPI documents. Use when you need to sort fields, filter operations/tags/flags/content, change casing, generate operationIds, apply overlays, convert OpenAPI versions (3.0/3.1 to 3.1/3.2), rename titles, split specs, bundle refs, or manage .openapiformatrc/--configFile driven formatting pipelines with minimal config overrides.
sips-delegation-router
Route a task through SIPS commands, agents, scripts, MCP tools, or bounded delegation. Use when asked to route, split, fan out, escalate, or choose the right SIPS path.
ab-testing-framework
A/B and multivariate testing methodology. Design experiments, calculate sample sizes, determine statistical significance, avoid common pitfalls, and interpret results. Platform-agnostic framework applicable to landing pages, emails, ads, pricing, and product features. Use when the user asks about A/B testing, split testing, experiment design, statistical significance, or conversion experiments.
component-refactoring
Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component --json` shows complexity > 50 or lineCount > 300, when the user asks for code splitting, hook extraction, or complexity reduction, or when `pnpm analyze-component` warns to refactor before testing; avoid for simple/well-structured components, third-party wrappers, or when the user explicitly wants testing without refactoring.
PDF Kit
AI-powered PDF tools: fill forms, merge, extract data, and split PDFs
vercel-microfrontends
Guide for building, configuring, and deploying microfrontends on Vercel. Use this skill when the user mentions microfrontends, multi-zones, splitting an app across teams, independent deployments, cross-app routing, incremental migration, composing multiple frontends under one domain, microfrontends.json, @vercel/microfrontends, the microfrontends local proxy, or path-based routing between Vercel projects. Also use when the user asks about shared layouts across projects, navigation between microfrontends, fallback environments, asset prefixes, or feature flag controlled routing.
phases
Cuts one confirmed intent into ordered phases, saves phases.md plus one intent.md per phase, and resumes a phased run. Use when an intent is too large for a single spec or plan, when the user asks to split the work into phases, stages, milestones or chunks, when they ask which phase comes next, what the phase status is, or to resume, continue or reopen a phased undertaking. Invoked from the intent skill's handoff gate (Phases option) or by the user command `phases` on an existing intent.md or phases.md - never spontaneously, never before an intent interview, never on a spec or a plan.
Epublys
EPUB/PDF tools: merge, split, compress, convert, edit metadata, validate ebooks.
tuicr
Review local git changes with tuicr TUI via tmux split pane
ab-testing
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program," or "experiment playbook." Use this whenever someone is comparing two approaches and wants to measure which performs better, or when they want to build a systematic experimentation practice. For tracking implementation, see analytics. For page-level conversion optimization, see cro.
shelfai
Use this skill when the user wants to manage AI agent knowledge, organize agent configurations, or set up post-session learning systems. Triggers include: organizing agent skills or knowledge into a structured shelf, extracting insights from conversation transcripts, splitting monolithic agent config files into modular pieces, managing memory files, searching indexed knowledge, or diagnosing shelf health. Use ShelfAI whenever a user mentions managing agent context, chunking configs, learning from sessions, compacting memory, or organizing reusable agent knowledge pieces.