ai-workflow-plugins

Use when the user wants to make a pytest suite faster, profile slow tests or fixtures, find unused or mis-scoped fixtures, consolidate duplicate test tracks, migrate to typed parametrize, or apply safe test speedups. Triggers on phrases like "speed up my tests", "why are my tests slow", "profile pytest", "optimize the test suite", "find slow fixtures", "my fixtures are slow", "which fixtures are unused", "the test suite takes too long", or "parallelize my tests". Runs a resumable four-phase pipeline (scan, benchmark, plan, execute) that measures before it mutates and applies each speedup as its own verified commit. Does not edit the suite until a speedup clears the noise band and a safety gate.

Use when the user wants multiple independent ideas, alternatives, or approaches from different AI models for a creative prompt, design question, or open-ended problem. Triggers on phrases like "brainstorm", "give me ideas", "multiple approaches", "what are my options", or "explore alternatives"

Use when the user wants to brainstorm and refine developer-experience, documentation, or tooling UX work through a "serene DX" aesthetic lens — three fixed variants that sweep across DX Bliss (frictionless), DX Serenity (calm clarity), and DX Sublimity (showcase-grade novelty). Triggers on phrases like "serene bliss", "DX bliss", "DX serenity", "DX sublimity", "reader happiness", "make this serene", "serene developer experience", or "serene DX". Runs the /weave:serene-bliss command, which dispatches three lens variants across all available models in parallel and judges each refine pass with a multi-model panel (Claude + Antigravity + GPT, peer-only averaging).

Delegate a task to Google's Gemini via the Antigravity (agy) CLI. Use this skill when the user explicitly asks to use Antigravity, agy, Gemini, or Google's model for a task, or when you determine that Gemini would provide better results for a specific task. Detects the agy binary, falls back to the gemini CLI, then to agent --model gemini-3.1-pro if neither is available.

Use when running a prompt through Google's Gemini directly. A manual invocation point for /model-cli:agy — the Antigravity (agy) CLI supersedes the standalone gemini CLI (Google retires it on 2026-06-18), so both entry points resolve through the same backend chain: agy, then the gemini CLI, then agent --model gemini-3.1-pro.

Delegate a task to OpenAI's GPT via the Codex CLI. Use this skill when the user explicitly asks to use Codex, GPT, or OpenAI for a task, or when you determine that GPT would provide better results for a specific task (e.g., tasks requiring OpenAI-specific strengths). Detects the codex binary, falls back to agent --model gpt-5.4-high if unavailable.

TDD xfail workflow with hermetic reproduction guards — reproduce a bug as a strictly-expected-to-fail test, verify the reproduction is genuine, apply a fix with diff-gate enforcement, and remove the xfail marker. Use when fixing bugs that need strict proof the test fails for the right reason, not because a mock is misconfigured. Triggers on "xfail", "strict xfail", "hermetic TDD", "reproduce with xfail", or "expected failure workflow".

Use when the user wants to generate multiple original ideas from different AI models then iteratively judge, weave, and refine them into the best possible result across multiple passes. Triggers on phrases like "brainstorm and refine", "generate ideas then improve", "explore options then synthesize", or "brainstorm then polish"

Use when the user has an existing draft, text, code, or artifact and wants it iteratively improved through multi-model critique and weaving across multiple passes. Triggers on phrases like "refine this", "improve this", "make this better", "iterate on this", or "polish this"

Delegate a task to Cursor's agent CLI. Use this skill when the user explicitly asks to use Cursor or the agent CLI for a task, or when you determine that Cursor's agent would provide better results for a specific task. Requires the agent binary — there is no fallback for this skill.

Use when running a prompt through OpenAI GPT directly. An alternative invocation point for /model-cli:codex — both use the same backend (codex binary or agent --model gpt-5.4-high fallback). Use this or /model-cli:codex interchangeably.

Clone and study your project's dependencies at the exact versions you use. Scans manifest files (package.json, pyproject.toml, Cargo.toml, go.mod, etc.), resolves official source repositories, clones them to ~/study/<language>/, and creates version-pinned git worktrees. Use when the user wants to read upstream source code, understand how a dependency works, or study a library at the exact version their project depends on.

This skill should be used when the user mentions uneven spacing, alignment issues, inconsistent gaps between elements, mixed margin/gap strategies, navbar or toolbar spacing problems, or asks to "clean up", "normalize", or "audit" spacing in a Tailwind component. This skill also applies when reviewing UI code where flex/grid containers use a mix of gap-*, margin (m*, me-*, ms-*), padding, and fixed widths to space sibling elements — even if the user doesn't explicitly say "spacing." If someone pastes a nav bar, toolbar, header, or action bar and says "something looks off," this skill is almost certainly what they need.