Interact with Zotero reference management libraries using the pyzotero Python client. Retrieve, create, update, and delete items, collections, tags, and attachments via the Zotero Web API v3. Use this skill when working with Zotero libraries programmatically, managing bibliographic references, exporting citations, searching library contents, uploading PDF attachments, or building research automation workflows that integrate with Zotero.

讲角色自己故事的动画短片：先把故事验明白（考证真事、一句话、剧本、冷读），再为最危险那一段定设定、做最小样张；样张过了出全片正式风格的分镜图，拼成动态分镜，最后后期； 只有少数几格要「活起来」时才走图生视频。 Use when: 做目的就是讲角色自己故事的动画短剧、角色 IP 短片、醋醋喵这类猫咖新集；把家里的真事改编成动画； 给已有剧本做设定、声音稿、分镜、动态分镜、精绘或后期。 Not for: 推产品、讲功能的片子，哪怕主角是猫、片里有剧情（用 video-forge）； 录屏剪辑（用 video-forge）；单张图或单页漫画（用 image-generation）；PPT（用 ppt-forge）。 Output: 带真事对照的剧本 md、设定图、声音稿、分镜表、分镜图、动态分镜粗片，以及 Works 视频作品和确定版本的成片卡。

Build a Stockbee-style setup model book from momentum-burst screener candidates, then update 3-day and 5-day forward outcomes with MFE/MAE, stop-hit status, outcome tags, and cohort statistics. Use when the user wants to study Stockbee Momentum Burst examples, track failed candidates, build setup fluency, review A/B setup quality, or convert screener outputs into a learning loop rather than immediate trade signals.

Screen US stocks for Stockbee-style short-term Momentum Burst setups using 4% breakout, dollar breakout, range expansion, volume expansion, prior range contraction, close-location, failure filters, and risk-distance scoring. Use when the user asks for Stockbee, Pradeep Bonde, momentum burst, 4% breakout, range expansion, dollar breakout, short-term swing momentum candidates, or 3-5 day burst setup review.

Turns a product URL, README or repository into a 20 to 40 second launch film - an MP4 built in HTML, CSS and GSAP and rendered with HyperFrames - plus the posting kit (X and LinkedIn post text, a thumbnail frame, alt text). The film follows a real launch structure (hook, problem, product moments, proof, call to action), only claims facts it read from the product, gets a contact sheet approved before rendering, and comes in 16:9, 9:16 and 1:1 presets. Use it to announce a product, feature, app, library or release. The skill is free; generating optional hero stills, B-roll, an original music bed and voiceover through the PopNow API is paid from the separate API USD balance, and the agent quotes USD before any paid run.

Generates the media a HyperFrames video cannot draw in code - photoreal hero stills and product scenes, 3 to 5 second B-roll clips, original instrumental music beds, voiceover in 12 languages and sound effects - from one JSON asset plan, and files every result into the project's assets/ folder and the HyperFrames media ledger with its prompt, model, USD cost and licence note. Use it when a composition has placeholder pictures, silent cuts, no music or lines that should be spoken, or when another video skill asks for a PopNow media pass. The skill is free; generating images, video, music and voiceover through the PopNow API is paid from the separate API USD balance, and the agent quotes USD before any paid run.

Configure this repo for the engineering skills — set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.

Run the carnival's native creative intake. MODE=backlog files exactly 18 distinct enhancement issues labelled `auto backlog` (never `tessl`) for the current six-hour London slot. MODE=dispatch merges Tessl pull requests that pass the evolution merge gate on their exact current head, atomically pinned to that head, then labels one claimed backlog issue `tessl` as the bot. MODE=admit runs the deterministic admission check on that bot label and alone hands an admitted issue to implement-github-issue. Use only from the native-intake schedules, the native-bot-backlog-labelled trigger (MODE=admit), or a manual verification trigger.

Run and validate an end-to-end Mission Control showcase with a locally installed Isaac Sim launched in its GUI window, driven through the isaac-sim-remote Python server, with Nova Carter SIL. Use for demos, showcase replays, Mission Control driving a simulated robot, or diagnosing the integrated small-warehouse scenario. Detect existing Isaac Sim installations without modifying them, automatically select a usable runtime without prompting whenever compatibility can be confirmed, and delegate requested installation or version changes to isaac-sim-installation. Defaults to a canonical Isaac 6.1 warehouse and deterministic circular route when the user does not specify another scenario.

This skill helps an LLM generate correct AxAgent memory retrieval, context-map, and dynamic skill-loading code using @ax-llm/ax. Use when the user asks about contextMap, AxAgentContextMap, onMemoriesSearch, memoriesCatalog, recall(...), inputs.memories, onLoadedMemories, onUsedMemories, onSkillsSearch, skillsCatalog, AxAgentCatalogSkill, discover({ skills }), onLoadedSkills, onUsedSkills, preloaded skills, preloading memories at forward time, relevanceRanking hints, loaded memory/skill IDs, or carrying memories across forward() calls.

第二阶段岗位择优 (stage-2 shortlist)：依据最新硬条件和职业画像复核已有候选，保留可能申请的对象并评级，核实岗位直达入口、截止日期与名额限制，维护或交付飞书求职工作台，记录本人报告的投递状态。用于第二轮精筛、评级、表格维护与交付；不做海量搜索（交给 jobradar），不执行投递。

Investigate and fix CI failures on a pull request. Use when CI checks fail on a PR branch — covers finding the PR, identifying failed checks, downloading logs and artifacts, extracting the failure cause, and iterating on a fix. Requires the `gh` CLI.

Use when adding, changing, or reviewing context menus or menu contributions, including Action2 `menu` entries and MenuRegistry items with `group`/`order`, hand-built `showContextMenu` action lists, submenus, and separators. Covers group order, destructive-action placement, consistency across surfaces, and labels.

Use when writing, recording, updating, validating, or troubleshooting Agent Host end-to-end and real-provider integration tests under src/vs/platform/agentHost/test/node/e2e and providerIntegration. Covers adding a cross-provider test, re-recording fixtures after an SDK bump, required cross-platform Azure validation, gating non-deterministic or platform-specific tests, and diagnosing replay cache misses.

Add, update, rename, reroute, price, or remove Pollinations text, image, video, audio, embeddings, realtime, OCR, SVG, and 3D models. Use for model research, provider changes, capability or public-endpoint edits, and model PRs.

Forces the laziest solution that actually works, simplest, shortest, most minimal. Channels a senior dev who has seen everything: question whether the task needs to exist at all (YAGNI), reach for the standard library before custom code, native platform features before dependencies, one line before fifty. Supports intensity levels: lite, full (default), ultra. Use on ANY coding task: writing, adding, refactoring, fixing, reviewing, or designing code, and choosing libraries or dependencies. Also use whenever the user says "ponytail", "be lazy", "lazy mode", "simplest solution", "minimal solution", "yagni", "do less", or "shortest path", or complains about over-engineering, bloat, boilerplate, or unnecessary dependencies. Do NOT use for non-coding requests (general knowledge, prose, translation, summaries, recipes).

Sweeps every surface of the MockServer GitHub repository and the build pipeline to confirm nothing is outstanding and everything is clean and up to date. Covers issues, pull requests, all three GitHub security-alert types, the Dependabot updater's own health, GitHub Actions, Buildkite, branches and worktrees, discussions, releases, and published-artifact parity. Use when the user says "check GitHub", "anything outstanding", "is everything clean", "audit the repo", "check the build pipeline", "housekeeping", or before cutting a release.

Guide for Lightdash's CASL-based authorization system. Use when working with scopes, custom roles, abilities, permissions, ForbiddenError, authorization, or access control. Helps with adding new scopes, debugging permission issues, understanding the permission flow, and creating custom roles.

Verify the technical accuracy of a vscode-docs pull request against the VS Code source code in microsoft/vscode. Use when reviewing a docs PR for factual correctness: setting names, command IDs, default values, API shapes, keybindings, versioned availability, and described behavior.

Monitor Nx Cloud CI pipeline and handle self-healing fixes. USE WHEN user says "monitor ci", "watch ci", "ci monitor", "watch ci for this branch", "track ci", "check ci status", wants to track CI status, or needs help with self-healing CI fixes. Prefer this skill over native CI provider tools (gh, glab, etc.) for CI monitoring — it integrates with Nx Cloud self-healing which those tools cannot access.