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Design tools that agents can use effectively, including when to reduce tool complexity. Use when creating, optimizing, or reducing agent tool sets.

日本語の概要は準備中です。原文の説明を表示しています。

Programmatic React video best practices for Remotion. Use this skill whenever the user is writing, debugging, or rendering Remotion code — compositions, useCurrentFrame animations, interpolate, spring, Sequence timing, <Img>/<Video>/<Audio> from @remotion/media, staticFile, calculateMetadata, the Studio preview, `npx remotion render`, captions, subtitles, voiceover, audio visualization, ffmpeg, transitions, light leaks, transparent video, Lottie, 3D scenes, Mapbox flyovers. Triggers especially on HtmlInCanvas / "html in canvas" requests, CRT terminal effects, glitch effects, video shaders, WebGL video, and any request to scaffold a new programmatic React video. Owns `remotion render` and everything about Remotion code. Do NOT trigger for finished MP4 ad assembly from existing slides (that is `/video-content`) or for the inspiration-to-MP4 reference-video pipeline (that is `/cmo-video`).

日本語の概要は準備中です。原文の説明を表示しています。

Ongoing link-building campaigns that raise domain authority and expand a site's KD ceiling beyond what on-page work alone can earn. Use when the user mentions 'off-page SEO', 'link building', 'directory link building', 'backlink campaign', 'listicle placements', 'guest posts', 'outreach targets', 'get listed in listicles', or asks 'how do I get more domain authority'. Generates a prioritized, researched target list across directories, listicles, and guest-post candidates — does NOT submit anything on the user's behalf. Pairs with `mktg-backlink-prospector` agent for parallel research. For a launch-day push (submit to directories, Product Hunt, BetaList), see /startup-launcher. For measured backlink data — referring domains, backlink counts, rank tracking — see /openseo. Distinct from `seo-machine` (on-page programmatic) and `seo-audit` (technical diagnostic). The off-page half of the SEO operation.

日本語の概要は準備中です。原文の説明を表示しています。

Cluster keywords by search intent and map each cluster to an existing or proposed page, with cannibalization detection from Search Console. Use this skill when the user has a keyword list (saved set, brand/keyword-plan.md, GSC export, or seed topic) and needs page targets, content briefs, or a site map for SEO pages — especially before seo-content or seo-machine page generation. Triggers: "cluster keywords", "keyword mapping", "map keywords to pages", "keyword cannibalization", "which page should target".

日本語の概要は準備中です。原文の説明を表示しています。

Scan the current market landscape and produce a ground-truth ecosystem snapshot. Chains /last30days for live research, validates with user, and writes brand/landscape.md with a Claims Blacklist that hard-gates all content generation. Use when: "landscape", "ecosystem", "market snapshot", "ground truth", "what's happening", "refresh landscape", "market trends", or before any content campaign to verify claims.

日本語の概要は準備中です。原文の説明を表示しています。

Use when a user needs SCI/SCIE/ESCI/SSCI journal-submission help: evidence-backed candidate-journal discovery from a title, abstract, keywords, or manuscript text; public-metric and risk lookup for a known journal; or a pre-submission compliance check of a draft against a chosen journal's Author Guidelines and same-journal conventions. Also for Chinese requests such as 选刊、投稿期刊推荐、期刊查询、中科院分区、投稿前检查、期刊要求核对. This skill produces candidates, evidence, checks, and uncertainty; it does not judge research quality, predict acceptance, choose a uniquely best journal, draft prose, or simulate peer review.

日本語の概要は準備中です。原文の説明を表示しています。

Show recent Claude Code sessions across all projects, so the user can re-enter work after a reboot or context switch. Lists per session the absolute project path, a short summary, where the session stopped, last activity, turn count, git branch, model, and a ready-to-paste resume command; can search sessions by what was said in them, flag projects with uncommitted or unpushed work, and re-open every session at once in new terminal tabs. Use when the user asks "what was I working on", "which projects did I touch recently", "where did I leave off", "list my recent sessions", "how do I get back into that session", "open all my sessions again", "which session did I fix X in", "where do I still have uncommitted work", or invokes /recap. Reads only local files; the default run is instant and offline.

日本語の概要は準備中です。原文の説明を表示しています。

Design a viable business model for a one-person company using Lean Canvas and a simplified Business Model Canvas. Use when Codex needs to explain the business-model concepts when needed, verify niche and value-proposition prerequisites, ask one question at a time, present multiple model choices, and write user-confirmed outputs into `opc-doc/`.

日本語の概要は準備中です。原文の説明を表示しています。

Use before repeatedly placing GLB models in PlayCanvas to record each asset's uniform scale, grounding offset, pivot compensation, and yaw once.

日本語の概要は準備中です。原文の説明を表示しています。

Use when writing PlayCanvas Engine code touching transforms, cameras, lights, materials, meshes, bounds, or imports, to apply Engine conventions and avoid legacy APIs.

日本語の概要は準備中です。原文の説明を表示しています。

Use when composing PlayCanvas entity hierarchies from models, colliders, rigid bodies, and scripts, so each object has one semantic root and clear lifecycle.

日本語の概要は準備中です。原文の説明を表示しています。

Use when static PlayCanvas lighting, shadows, or ambient occlusion cost too much per frame and should be baked into lightmaps.

日本語の概要は準備中です。原文の説明を表示しています。

Use when lighting or rendering a PlayCanvas scene, covering lights, ambient and environment lighting, sky, shadows, tone mapping, exposure, fog, and post-processing.

日本語の概要は準備中です。原文の説明を表示しています。

Use before playing, blending, or retargeting GLB animation clips in PlayCanvas, or when diagnosing T-pose, frozen playback, or binding failures.

日本語の概要は準備中です。原文の説明を表示しています。

Use when a PlayCanvas app has too many draw calls or is CPU-bound, before hand-merging meshes or writing custom renderers.

日本語の概要は準備中です。原文の説明を表示しています。

Use when implementing a PlayCanvas feature the project does not use yet, to find and adapt the official example matching the installed version.

日本語の概要は準備中です。原文の説明を表示しています。

Use when a PlayCanvas rendering change is meant to leave the image unchanged, to prove it with deterministic captures and pixel comparison.

日本語の概要は準備中です。原文の説明を表示しています。

Use when reading state from a running PlayCanvas app, to reach its live Application through the Engine devtools hook without changing app code.

日本語の概要は準備中です。原文の説明を表示しています。

Use when loading glTF/GLB models or textures in PlayCanvas, choosing Draco or Basis/KTX2 compression, or setting up decoders and preloading.

日本語の概要は準備中です。原文の説明を表示しています。

Use when adding visual effects to a PlayCanvas app, to choose between particle systems, shader chunks, runtime meshes, and post-processing.

日本語の概要は準備中です。原文の説明を表示しています。

Use before loading, placing, scaling, or animating GLB models in PlayCanvas to measure bounds, grounding, clips, joints, and hierarchy with the bundled offline inspector.

日本語の概要は準備中です。原文の説明を表示しています。

Use before writing PlayCanvas behaviour from scratch, to reuse the scripts and helpers the installed Engine already ships.

日本語の概要は準備中です。原文の説明を表示しています。

Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.

日本語の概要は準備中です。原文の説明を表示しています。

Core Kilo-Kit skill enforcing Hard-Gate and Iron Law principles. Ensures AI agents scan the system and codebase before proposing solutions. Keywords: hard-gate, iron-law, evidence, scan, verify, system-check, codebase

日本語の概要は準備中です。原文の説明を表示しています。