Claude Code Skills · page 124

Token-saving session automation — statusline, prompt guard, precompact handoffs, session rotation, and handoff commands for Claude Code

LLM-powered generation pipeline for Claude Code skills and CLAUDE.md — doc-init command, prompt system, context building, and output parsing

Bundled agents, commands, hooks, and settings that users install via `aspens add`, `aspens doc init`, and `aspens save-tokens` into their .claude/ directories

Persistent memory, recall, session replay, and memory-governance workflow adapted from rohitg00/agentmemory for OMK. Use when setting up agent memory, deciding what to remember, importing/replaying sessions, reducing repeated context, or auditing memory safety.

Minimal, goal-driven, surgical coding workflow adapted from forrestchang/andrej-karpathy-skills for OMK. Use for coding, refactoring, debugging, and review tasks where assumptions, overengineering, or broad edits could cause regressions.

Legal workflow drafting, triage, review, research planning, legal operations, law-student or clinic support, and legal AI governance adapted from Anthropic claude-for-legal. Use for commercial, privacy, product, corporate, employment, regulatory, AI governance, IP, litigation, legal-clinic, and law-student tasks. Draft-only; attorney review and current source verification required.

Real-engineering alignment, shared-language, TDD, diagnosis, and architecture-review workflow adapted from mattpocock/skills for OMK. Use before non-trivial implementation, ambiguous product work, debugging loops, test-first changes, or codebase architecture cleanup.

Managed-agent teamwork, issue assignment, progress tracking, reusable-skill compounding, and handoff workflow adapted from multica-ai/multica for OMK. Use when coordinating multiple agents, converting work into agent-ready tasks, tracking blockers, or turning repeated solutions into skills.

Review AdaptOrch, OMK, and similar DAG multi-agent orchestration frameworks. Use when assessing DAG node responsibility, dependency edges, worker write authority, fallback/retry/timeout/evidence gates, review/merge boundaries, or reproducible decision traces.

Optional read-only OMK web/social/video research workflow inspired by Panniantong/Agent-Reach. Use for web search, current social evidence, YouTube/Bilibili/Reddit/Twitter/X/RSS/GitHub public research, and Agent Reach availability checks without auto-installing or collecting credentials.

Backend API review for NestJS, Express, FastAPI, database access, validation, auth, error handling, and API contracts.

Adversarial code review for diffs, logic correctness, type safety, test coverage, and security risk.

Context and memory policy for long-running Kimi coding sessions, DAG workers, and repeated project work.

Diagnose agent, runtime, tool, hook, context, provider-routing, DAG, retry, fallback, and evidence-gate failures using an industrial automation feedback-control loop. Use when workflows oscillate, stall, lose context, misroute tools, or need setpoint/sensor/controller/actuator/disturbance/correction analysis.

Build and maintain a terminal-native, orchestration-first design system for agent team HUDs, status surfaces, and control planes.

Documentation, changelog, release note, README, migration guide, and developer handoff workflow.

Generate task-specific evidence contracts before a done/completed claim. Use for feature, bugfix, refactor, research, release, security, docs, or orchestration tasks that need changed files, non-empty diffs, test/build/typecheck results, citations, uncertainty, conflicting evidence, and final risk notes.

Implement frontend UI components from DESIGN.md, mockups, or screenshots with strict adherence to existing component system and accessibility.

Frontend UI review for React, Next.js, Tailwind, accessibility, responsive layout, state handling, and component architecture.

Git commit and pull request summary workflow using Conventional Commits and evidence from the current diff.

Industrial automation and feedback-control inspired review for AI workflows, agents, orchestration loops, state machines, and reliability.

Read-only planning workflow before implementation. Use for architecture, refactor, feature development, risky edits, and ambiguous tasks.

Project-level operating rules extracted from AGENTS.md, DESIGN.md, and .omk/memory/. Apply silently before implementation.

Python typed development standards using type hints, pytest, ruff, pyright, uv, and maintainable package structure.

Run lint, typecheck, test, and build gates before completing any implementation task.

Efficient repository exploration without dumping the whole codebase. Use before feature work, debugging, refactoring, and review.

Web research and source verification workflow for current technical facts, libraries, APIs, pricing, policies, and documentation.

Protect sensitive files and prevent secret leakage during Kimi coding workflows.

Security review for secrets, authentication, authorization, injection, unsafe shell commands, dependency risk, and sensitive file edits.

Debug failing lint, typecheck, test, and build commands with minimal fixes and repeated verification.

Systematic troubleshooting for build failures, test failures, environment issues, dependency conflicts, and agent workflow blockers.

TypeScript strict-mode development standards for Next.js, NestJS, Node.js, React, and full-stack projects.

Git worktree based multi-agent team workflow for isolated parallel coding, review, QA, and integration.

React, Next.js, Vite, and React Native diagnostics workflow adapted from millionco/react-doctor for OMK. Use for React health checks, component/effect bugs, performance regressions, accessibility issues, dead code, and agent-generated React review.

Use VoltAgent awesome-design-md as a curated DESIGN.md template catalog for OMK, Kimi, and Open Design UI/prototype work.

Slash command to set the official DeepSeek API key through OMK without printing it.

Slash command to disable OMK DeepSeek workers and force Kimi-only fallback.

Slash command to enable OMK DeepSeek opportunistic read-only workers.

Slash command to store a DeepSeek API key in the user-local OMK secret env file.

Generate and optionally open the OMK ontology graph viewer from project-local graph memory.

Install, validate, and manage MCP servers for OMK using the curated catalog and parallel processing.

Generate, read, validate, diff, and apply Google DESIGN.md files for Kimi UI/frontend tasks, Tailwind themes, screenshots, and visual coding.

Bugfix flow from reproduction to root cause, minimal fix, regression test, and verification.

Convert DESIGN.md, screenshots, mockups, or Stitch outputs into reviewed frontend implementation.

End-to-end feature development flow with exploration, plan, implementation, test, review, and final report.

Pull request review flow for current diff, risk classification, test gap analysis, and merge recommendation.

Safe refactor flow with behavior preservation, incremental edits, tests, and regression review.

Safe release flow with version bump, changelog update, quality gates, tag, and deployment verification.

Run a multi-agent Kimi worktree team with task split, isolated implementation, QA, review, and integration.

Global open-multi-agent-kit operating rules: avoid repeated instructions, use todos, subagents, relevant skills, MCP tools, quality gates, and concise factual reports.

Kimi K2.6 runtime policy for thinking mode, no-thinking research mode, tool use, context budget, and long-horizon coding tasks.

Review UI from screenshots, mockups, browser captures, traces, or videos before proposing frontend code changes.

Route tasks between Kimi native subagents, external worktree workers, print workers, and root coordinator for optimal parallel execution.

Launch nexu-io Open Design on localhost so OMK/Kimi can generate prototypes, decks, and design artifacts in a local web UI.

Use only when user explicitly asks to "open dashboard", "show dashboard", "launch dashboard", or "learning UI". Opens a local web interface for viewing and editing learning plans, quiz progress, and spaced repetition data.

Use when user wants to learn a topic or create a study plan. Triggers on "teach me", "I want to learn", "explain X to me", "study", "help me understand", "where do I start with", "how do I get into", or any request to understand a subject in depth. Covers both technical topics (programming, system design, DevOps) and general knowledge (history, science, languages, music theory). Also use when someone asks for a "learning path", "roadmap", or "curriculum" for a topic — even if they don't explicitly say "learn".

Use when user wants to be tested or quizzed on any topic. Triggers on "quiz me", "test me", "test my knowledge", "practice questions", "check my understanding", or when asking for a quiz on something they've been learning. Also use when user finishes a learning module and wants to check understanding. Works with or without a prior learning plan.

Use when user asks for learning resources, recommendations, or materials on any topic. Triggers on "find me resources", "what should I read about", "best tutorials for", "recommend a book on", "good courses for", "where can I learn more about", "any videos on", or any request for curated study materials. Also use when user wants to browse what's available before committing to a full learning plan — this skill works with or without an existing plan.

Use when user asks about their learning progress or wants study guidance. Triggers on "how am I doing", "my progress", "what should I study next", "show my scores", "what are my weak areas", "review my learning", "how well do I know X", or any request to see quiz results, track improvement, or decide what to focus on next. Also use when the user seems unsure what to study — this skill provides data-driven recommendations.

CesiumJS 3D Tiles - Cesium3DTileset, MVTDataProvider, styling, metadata, feature picking, voxels, point clouds, I3S, Gaussian splats, clipping planes and polygons. Use when loading 3D Tiles tilesets or Mapbox Vector Tiles as runtime 3D Tiles, styling building/vector features, querying metadata properties, working with voxels or point clouds, or clipping spatial data.

CesiumJS camera control - Camera, flyTo, lookAt, setView, ScreenSpaceCameraController, CameraEventAggregator, flight animation. Use when positioning the camera, creating flyTo animations, constraining user navigation, tracking entities, or converting between screen and world coordinates.

CesiumJS core utilities and networking - Resource, Color, Event, Request, RequestScheduler, error handling, helper functions, feature detection. Use when fetching remote data, managing HTTP requests, working with colors, handling events, debugging errors, or using utility functions like defined, clone, or buildModuleUrl.

CustomShader authoring — vertexShaderText and fragmentShaderText against VertexInput, FragmentInput, FeatureIds, Metadata, czm_modelMaterial. Use when reading EXT_mesh_features or EXT_structural_metadata property textures/tables, vertex displacement, or shading VoxelPrimitive.

CesiumJS entities and data sources - Entity, EntityCollection, DataSource, GeoJsonDataSource, KmlDataSource, CzmlDataSource, Graphics types, Visualizers. Use when adding points, labels, models, polygons, or polylines to the map, loading GeoJSON/KML/CZML/GPX data, or working with the high-level Entity API.

CesiumJS imagery layers - ImageryProvider, ImageryLayer, ImageryLayerCollection, WMS, WMTS, Bing, OpenStreetMap, ArcGIS, Mapbox, tile discard policies. Use when adding or swapping base map layers, configuring imagery providers, layering multiple map sources, or creating split-screen imagery comparisons.

CesiumJS interaction and picking - ScreenSpaceEventHandler, multi-key KeyboardEventModifier input actions, Scene.pick, Scene.drillPick, Scene.pickPosition, mouse and touch events. Use when handling user clicks on the globe, selecting entities or 3D Tiles features, registering modifier-key shortcuts, implementing hover effects, or building drag-based interactions.

CesiumJS materials and post-processing — Material, Fabric JSON, MaterialAppearance, ImageBasedLighting, PostProcessStage, PostProcessStageLibrary, bloom, depth of field, ambient occlusion, FXAA, tonemapping, BlendingState. Use when defining Fabric materials for entities or primitives, configuring PBR image-based lighting, or adding screen-space post-processing effects.

CesiumJS models, glTF, and particle effects - Model, EdgeDisplayMode, ModelAnimation, ModelNode, ParticleSystem, emitters, GPM extensions. Use when loading glTF/GLB 3D models, controlling edge rendering, playing model animations, positioning particle effects like fire or smoke, or working with geospatial positioning metadata.

CesiumJS primitives and geometry - Primitive, GeometryInstance, Appearance, BufferPrimitive collections, GeoJsonPrimitive, Billboard/Label/PointPrimitive collections, built-in geometry shapes, ground primitives, classification. Use when rendering performance-critical static or vector geometry, loading GeoJSON without entities, creating custom shapes, batching draw calls, or using low-level collections.

CesiumJS spatial math - Cartesian3, Cartographic, Matrix4, Quaternion, Transforms, Ellipsoid, BoundingSphere, projections, coordinate conversions. Use when converting between coordinate systems, computing positions on the ellipsoid, performing spatial intersection tests, building model matrices, or working with geographic projections.

CesiumJS terrain, globe, and environment - TerrainProvider, Globe, sampleTerrain, atmosphere, sky, fog, lighting, shadows, panoramas. Use when configuring terrain providers, querying terrain heights, customizing atmosphere or sky rendering, adding panoramas, or adjusting scene lighting and shadows.

CesiumJS time, properties, and animation - Clock, JulianDate, TimeInterval, Property, SampledProperty, CallbackProperty, interpolation, splines, CZML temporal data. Use when making entity attributes time-dynamic, configuring the simulation clock, interpolating positions over time, or working with sampled or callback properties.

CesiumJS viewer setup - Viewer, CesiumWidget, widgets, Ion token, Scene configuration, SceneMode, factory helpers, geocoders, platform services. Use when initializing a CesiumJS application, configuring viewer widgets, setting Ion access tokens, creating default terrain or imagery, or bootstrapping a 3D globe.

Use when starting any conversation involving CesiumJS development - provides orientation on available domain skills and how they activate

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Use when the user asks to audit what's wrong with a project, "make it right", "看看项目出了什么问题", "为什么用户的需求还没上线", "为什么没提交App Store", "为什么没新build", or wants a holistic state-of-the-project check covering unmerged branches, stalled PRs, failed GitHub Actions, stale builds, plan drift (TODOS.md / ROADMAP), unreleased commits, and log errors. Runs read-only investigation, presents a grouped checklist, fixes only after explicit user confirmation. Aware of the Cathier iOS app workflow (Xcode + fastlane + auto-merge @claude PRs from in-app feedback).

Use when the user has a video + an SRT and wants the subtitles either burned into the pixels (libass, always-visible) or soft-muxed as a togglable track. Also handles the final composite step for the localization pipeline — burn subs, mix a dub track, and keep the original audio as a low-volume bed, all in ONE ffmpeg encode (no cascade). Verifies libass availability and auto-downloads a static evermeet ffmpeg build when Homebrew's stripped binary lacks it. Triggers — "烧字幕", "硬字幕", "burn subtitles", "burn-in subs", "embed subtitle", "soft mux SRT", "把字幕烧进视频", "做最终合成".

Use when the user complains about spam on his X/Twitter posts — 同城面付 / 寻固炮 / 线下上门 / 免费破处 这类引流号在他推文下刷的 emoji 垃圾回复 — and wants them removed. Covers the last 7 days (X recent-search window). Triggers — "把这些spam删掉", "清理X垃圾回复", "推文下面好多引流号", "clean spam replies", "/wjs-cleaning-spam".

Use when the user wants a 王建硕-style WeChat article (article.md) turned into a narrated short MP4 video — TTS voiceover via 火山引擎 Volcano TTS, HyperFrames CSS/GSAP animation per scene, subtle SFX, abstract watercolor background, full pipeline rendering to 1080×1920 portrait MP4 (30-90s). Triggers — "把这篇文章做成视频", "做一个解说视频", "讲解视频", "/wjs-converting-text-to-video".

Use when migrating a WordPress site to a Hugo static site on GitHub Pages from a WXR export (.xml) plus the wp-content/uploads folder — preserving /archives/<id>/ URLs, localizing images, and deploying via GitHub Actions. Triggers — "把 WordPress 迁成 Hugo", "wordpress 转静态站", "migrate WordPress to Hugo", "WXR to Hugo", "publish WordPress to GitHub Pages", "/wjs-converting-wp-to-hugo".

Use when the user has a video + a target-language SRT and wants the video to actually speak that language — generates a time-aligned TTS voice dub. Routes by voice ID — Volcano (豆包) TTS for Chinese, edge-tts neural for any language. Defaults to one voice (single-speaker); opt-in multi-speaker via visual diarization. Outputs `*_<lang>_dub.mp4` with the dub audio in place of the original. Final mixing (audio bed + burn-in) is handed off to `/wjs-burning-subtitles`. Triggers — "配音", "中文配音", "Chinese dub", "voice over this", "dub the video", "TTS this SRT", "different voice for each speaker".

吃一堑长一智 — 走完 5 步交互式反思（堑 → 自动输出 → 旧权重 → 新参数 → 替代动作），从「情绪复盘」推进到「行为训练」，把第一反应这一层 L3 权重练新。Use when 王建硕 reflects on a personal setback, mistake, or recurring pattern (反思, 复盘, 回顾, 总结教训, 吃一堑, 长一智, "这次又栽了", "怎么又这样", "为什么我总是…", "想开点都做不到", "知道道理但做不到"). For the user as a human, not for Claude's task post-mortems.

Use when the user has 2+ recordings of the same event (each with a `.sync.json` sidecar from wjs-syncing-multicam) and wants them combined into a single MP4 — auto-switching between cams second-by-second on audio energy, with optional picture-in-picture inset. Triggers — "auto-edit multicam", "做个剪辑", "切几个机位", "把这几个视频合成一个", "combine these angles", "PiP overlay".

Thin orchestrator for the end-to-end video localization pipeline. Routes to the four focused sub-skills — /wjs-transcribing-audio, /wjs-translating-subtitles, /wjs-dubbing-video, /wjs-burning-subtitles. Use when the user asks for full localization in one go ("帮我把这个西班牙语视频做成中文字幕+配音", "translate and dub this video", "做完整的本地化"). For any individual step (just transcribe, just translate, just dub, just burn), invoke the sub-skill directly — it's faster and the boundary is cleaner.

Use when the user wants to add an in-site feedback loop to a website repo — a floating "提个建议" button where allowlisted visitors submit suggestions that become a GitHub Issue, which GitHub Actions turns into an automatic code change via Claude Code, auto-merges and deploys, and records on a /_feedback dashboard with one-click revert. Triggers — "给网站加个反馈对话框", "提一句话就自动改网站", "装上反馈闭环", "feedback loop", "/wjs-looping-feedback".

Use when the user has a video's SRT subtitle file — a 王建硕 monologue / 讲解, OR a 对谈 / 访谈 where 王建硕 is one of the speakers — and wants to mine it into multiple standalone 微信公众号 articles, one article per distinct topic. Triggers — "把这个视频写成文章", "从字幕里挖文章", "这个 SRT 能写几篇", "把对谈写成文章", "/wjs-mining-articles <srt>".

Use when the user has one or more video clips and wants to add post-production on top — AI-generated cover as first frame, HTML/CSS captions synced to SRT, kinetic illustration overlays at hook moments, chapter chips, end-card CTA, or any other timed motion graphics. Most often used as the downstream of `/wjs-segmenting-video` — pick up where that skill stopped (raw cropped clip + per-clip SRT) and produce the upload-ready MP4. Backed by HyperFrames so everything compiles to ONE final encode — no cascade of re-encodes. Triggers — "加封面", "加字幕", "加动画", "加 CTA", "做后期", "post-production", "title card", "kinetic captions", "end card".

把一条平淡的中文 tweet/推文/帖子改写成"有真实事实支撑 + 带互动钩子"的高参与度版本,每次给 2-3 个不同钩子的版本,风格务必短、白、口语。只要用户贴出一条中文 tweet/推文/微博/帖子,并提到"润色""改写""优化""让它更有互动""涨互动""涨粉""提高回复""帮我把这条发得更好"等任何意图,就使用本 skill——哪怕用户没明确说"用 skill"。也适用于把某个观点/事实/日常做成"忍不住想回答"的提问帖或填空帖时。

Use when the user wants to set up automated daily promotion / marketing for their Claude Code skills — researching how top skills are promoted on marketplaces (ClawHub / openclaw / SkillsMP / agentskills.io), generating a per-skill marketing plan, auto-posting to X (Twitter) via xurl, and drafting community discussion posts (Reddit / HN / Discord). Triggers — "推广 skills", "营销 skills", "自动发推广", "每天自动推广", "skill marketing", "promote my skills", "/wjs-promoting-skills".

当用户想给自己的 Hugo 静态博客（如 maggiacito.com）新增或编辑帖子、管理类目、上传图片并发布上线时使用——对话式后台，说一句就改文件、commit、推送、自动部署，不需要任何 CMS/服务器。触发词：「发一篇博客」「给 Hugo 加文章」「写篇帖子到博客」「管理博客类目」「上传图片到博客」「博客后台」「/wjs-publishing-hugo」。

当用户想写或发布微信公众号文章时使用——他们给出零散思路、草稿或笔记，请你润色、生成题图和解释图，或准备上传到 mp.weixin.qq.com。触发词："写一篇微信文章"、"公众号"、"润色"、"题图"、"发公众号"、"/wjs-publishing-wechat"。

Use when the user wants to convert a video between horizontal and vertical orientations while preserving the inverted aspect ratio (16:9 ↔ 9:16, 4:3 ↔ 3:4, 21:9 ↔ 9:21). The skill crops a narrow band from the source and tracks the active speaker — the person whose mouth is moving — via MediaPipe face landmarks and mouth-aspect-ratio variance, so the talker stays in frame even when other people are visible. Triggers — "横转竖", "竖转横", "做成竖屏发抖音/视频号/小红书", "16:9 to 9:16", "make this vertical for Reels / TikTok / YouTube Shorts", "crop to portrait", "convert to landscape".

Use when the user has a long-form video (interview / lecture / podcast / conversation) and a transcript SRT, and wants to extract 3–6 stand-alone topical short clips from it. This skill ONLY cuts and crops — it produces raw clips + per-clip SRTs as a hand-off package for downstream post-production (`/wjs-overlaying-video`). Triggers — "切成几段", "分主题", "拆成短视频", "切片", "topic segments", "split into clips".

Use when the user has 2+ video / audio recordings of the same event captured by different devices (cameras, phones, separate audio recorders) and wants them aligned to a single common timeline. Outputs only a lightweight `.sync.json` sidecar per input — original files are never re-encoded. Triggers — "多机位同步", "对齐这几个机位", "match camera timelines", "sync these angles", "audio drift between cameras", "separate audio recorder", "Riverside / Zoom recording that needs to line up".

Use when the user wants to auto-syndicate their latest 微信公众号 article across social platforms — picks the newest un-syndicated article, extracts one core copy, auto-posts to API platforms (X / Bluesky / Threads / LinkedIn) and prepares a copy-paste outbox for manual platforms (Facebook / 小红书 / 即刻 / 知乎). Triggers — "分发文章到各平台", "同步到社交平台", "今天的文章发各平台", "/wjs-syndicating-articles".

Use when the user wants to teach / learn an English word as a video — turn a single English word into a self-contained HLS "supercut" lesson built from the mira video base. Stitches every season2 clip where the word is spoken (via the search-app API) into one .m3u8, prepended with a Claude-written bilingual word-intro card (word + IPA + 中文 gloss + usage, Volcano TTS) and appended with a 关注王建硕 CTA card. No MP4 burn. Triggers — "teach <word>", "讲讲 <word>", "学英语 <word>", "把 <word> 做成视频", "/wjs-teaching-english <word>".

Use when the user has audio or video and wants a timestamped transcript (SRT) in the source language. Routes by source language — Chinese defaults to Volcano (豆包) ASR; other languages (Spanish, English, Portuguese, French, Italian, Japanese, Korean, etc.) use OpenAI Whisper API with word-level timestamps and self-assembled cues. Outputs SRT with punctuation-bounded cues capped for on-screen reading. Triggers — "转写", "转成字幕", "做 SRT", "transcribe", "make subtitles", "speech to text", "出字幕".

Use when the user has an SRT (or transcript text) in one language and wants it translated to another, with punctuation-bounded re-segmentation so cues end at real sentence breaks. Simplified Chinese (zh-CN) and English (en) are first-class targets; other targets follow the same rules. Outputs a target-language SRT or bilingual SRT — no audio, no burn-in. Triggers — "翻译字幕", "翻成中文", "translate this SRT", "中英双语字幕", "把这个 SRT 翻译成 X", "bilingual subtitles".

Use when the user wants to post a daily X/Twitter tweet inspired by one of their recently-published 微信公众号 articles. Picks the newest article that hasn't been tweeted yet, drafts 3 tweet candidates from it (different angles — quote / metaphor / one-liner), posts the chosen one via xurl, records to history. Triggers — "每天发一个 tweet", "从文章里发推", "今天的 tweet", "/wjs-tweeting-from-articles".