人気上昇中の Agent Skills

Generate AI videos with Google Veo, Seedance 2.0, HappyHorse, Wan, Grok and 40+ models via inference.sh CLI.

Generate AI images with 50+ models including GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve, and more via the inference.sh CLI.

Automate Twitter/X posting, engagement, and user management via the inference.sh CLI.

Create AI avatar and talking head videos via inference.sh CLI, with multiple models and built-in TTS.

Stop coding agents from shipping generic UI by grounding interfaces in 800,000+ real web and iOS screens from UIZZE, with a hard finish gate.

Generate AI videos via the RunComfy CLI, smartly routing to models like HappyHorse, Wan, Seedance, Kling, Veo, Hailuo, and Dreamina for text-to-video, image-to-video, and video extension.

Animate any still image on RunComfy — this skill is a smart router that matches the user's intent to the right i2v model in the RunComfy catalog.

Generate and edit images via the RunComfy CLI, smartly routing across 11+ models including FLUX 2, Nano Banana, GPT Image 2, and more, for both text-to-image and image-to-image tasks.

Generate AI music via the RunComfy CLI, routing to ElevenLabs or ACE Step models for text-to-music, audio repair, and extension.

A smart router skill that selects the right video-edit model on RunComfy based on user intent, covering restyle, background swap, motion transfer, and outfit swap.

Find Reddit threads where people genuinely need what you offer, then draft short, genuinely helpful replies — disclosing your affiliation honestly.

Helps users discover and install agent skills to extend their capabilities.

The grill-me skill sharpens a plan or design through relentless questioning.

The grilling skill relentlessly interviews the user about a plan, decision, or idea until a shared understanding is reached.

The grill-with-docs skill sharpens a plan or design through relentless questioning while generating ADRs and a glossary.

Scan a codebase for architectural deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.

Build and sharpen a project's domain model, used when discussing codebase terminology, writing or editing a CONTEXT.md, or recording or editing an ADR.

Review changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards and Spec, running parallel sub-agents and reporting side by side.

Test-driven development skill guiding users to build features or fix bugs test-first, following the red-green-refactor loop.

Compact the current conversation into a handoff document for another agent to pick up.

Shared vocabulary for designing deep modules, helping improve interfaces, find deepening opportunities, decide seam placement, and make code more testable and AI-navigable.

A disciplined methodology for diagnosing hard bugs and performance regressions, centered on building a tight feedback loop and minimizing the repro before hypothesizing.

Turn the current conversation into a spec and publish it to the project issue tracker: no interview, just synthesis of what you've already discussed.

Configure the repo for engineering skills: set up its issue tracker, triage label vocabulary, and domain doc layout.

Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo.

Break a plan, spec, or the current conversation into a set of tracer-bullet tickets, each declaring its blocking edges, published to the configured tracker.

Build a throwaway prototype to answer a design question, validating state models or UI appearance.

The wayfinder skill plans a large chunk of work as a shared map of decision tickets on your issue tracker, resolving them one at a time until the way to the destination is clear.

The teach skill helps users learn new skills or concepts within a workspace, tracking progress through structured files and lessons.

Implement a piece of work based on a spec or set of tickets.

The ask-matt skill is a router that asks which skill or flow fits your situation, routing over the skills in this repo.

Move issues and external PRs through a state machine of triage roles, categorize, verify, grill if needed, and write agent-ready briefs.

A guide to writing documents for agents, covering skills, AGENTS.md, and CLAUDE.md.

Resolve in-progress git merge or rebase conflicts by preserving both intents and running automated checks.

agent-browser is a fast browser automation CLI for AI agents, enabling web interaction, form filling, screenshots, data extraction, and Electron app automation.

Use this skill to re-pitch a message that didn't land, providing context, using Simplified Technical English, and following project terminology.

Turn a decision you can't fully answer into a questionnaire for someone else to fill in.

Browser automation for AI agents via inference.sh, enabling web navigation, element interaction, screenshots, and video recording.

Run a stateful grilling session to help you design and refine workflow specs within this workspace.

Anti-slop frontend skill for landing pages, portfolios, and redesigns, using design inference and strict pre-flight checks to ship non-templated interfaces.

Hand the current conversation off to a fresh background agent that picks up the work immediately.

Shape raw material into an article, paragraph by paragraph.

A writing exploration skill that mines raw fragments through relentless interviewing, without committing to structure.

Writing skill: assemble raw material into a journey of beats, grounding each term before a beat leans on it.

Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo.

Implement a specification in code on a single branch, guided by a task graph, and produce a pull request.

Wire dependency-cruiser into a TypeScript repo so each package is a deep module, with implementation hidden in subfolders and reachable only through its entry-point files.

Create exercise directory structures with sections, problems, solutions, and explainers that pass linting.