Skills
18,283 skills, most installed first.
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code-security-auditleonmelamudPerform security audits on code changes, diffs, or branches to find high-confidence exploitable vulnerabilities. Use when asked to "audit security", "review for vulnerabilities", "security scan", "check for security issues", "audit this PR", "review these changes for security", or "find vulnerabilities in diff". Distinct from security-review (which provides secure coding patterns/checklists) — this skill actively audits code changes using a structured methodology with false positive filtering. Iletzai-apiletz-aiGenerate AI images and videos via the LetzAI API. Images with Nano Banana Pro, Seedream 5, Flux 2, GPT Image 2; videos with Veo 3.1, Kling V3, Seedance 2.0. Includes context editing, upscaling, asset uploads, and custom @model training. Use for content creation apps and automation.qmdlevineamLocal hybrid search for markdown notes and docs. Use when searching notes, finding related content, or retrieving documents from indexed collections.gc-minimal-zine-poster-v0-3liamgvchiGenerate or analyze poetic paper-texture minimal zine posters with large negative space, a small editorial collage or focal element, experimental typography, and one clear color accent. Use when the user gives a theme, sentence, article, mood, object, photo, content brief, reference images, or an image folder and wants a final poster image, a production-ready image prompt, reusable style rules, or varied layouts that stay in one visual family.video-summarizerliang121Download videos from 1800+ platforms (YouTube, Bilibili, Twitter/X, TikTok, Vimeo, Instagram, etc.) and generate complete resource package with video, audio, subtitles, and AI summary. Actions: summarize, download, transcribe, extract video content. Platforms: youtube.com, bilibili.com, twitter.com, x.com, tiktok.com, vimeo.com, instagram.com, twitch.tv. Outputs: MP4 video, MP3 audio, VTT subtitles with timestamps, TXT transcript, MD AI summary. Auto-installs uv, yt-dlp, ffmpeg. Python dependencqu-ai-weilifelonglazylearnerRewrite and humanize Simplified Chinese while preserving facts, meaning, evidence strength, register, and authorial voice. 用于 `/qu-ai-wei`、「去 AI 味」「改得说人话」「humanize 中文」「改自然点」「改写 / 重写这段中文」「润色得自然些」「太生硬了」等请求,包括段落、文章与长文的结构重写。不要用于翻译、新写中文、只查错别字、繁體中文,或未经授权替真人更换声口。developing-in-lightdashlightdashUse when reading, creating, and editing Lightdash dashboards and charts as JSON, including dashboard layout and chart-type-specific configuration.lightpandalightpanda-ioLightpanda browser, drop-in replacement for Chrome-based browsing in any AI agent - faster and lighter for tasks without graphical rendering like data retrieval. Use it via MCP server, CLI fetch, or CDP with Playwright/Puppeteer — or run/save automations as deterministic, token-free replay scripts (PandaScript) via its own agent mode.Academic Figure PromptligphidonkUse this skill whenever the user wants to generate detailed English prompts for AI image tools (NanoBanana / Gemini / DALL-E / Midjourney) to produce top-conference-quality academic figures — including framework diagrams, network architecture diagrams, pipeline flowcharts, module detail diagrams, comparison/ablation figures, and data pattern grids — especially when the user says "论文配图提示词", "生成论文配图", "学术论文生图", "架构图提示词", "框架图提示词", "顶会风格配图", "CVPR 风格图", "NeurIPS 风格图", "paper figure prompt", "academljg-blindlijigang盲区扫描——读昨天你与 AI 的全部对话,照出暴露的思维盲区(不是不懂的知识,是让某类真相一直看不见的思维习惯),再从微信读书挑一本书的一章精准补上,落成一篇完整分析笔记。Use when user says '扫盲区', '盲区', '照盲区', '看看我的思维盲区', '我昨天想漏了什么', 'blind spot', 'ljg-blind', '/ljg-blind', or wants yesterday's AI conversations analyzed for cognitive blind spots plus a targeted weread chapter to fill them. 可选参数:传一个日期(YYYY-MM-DD)扫那天而非昨天。NOT FOR 纵向深钻一个观点(用 ljg-think)、一个领域降秩(用 ljg-rank)、陪读一篇文本(用 ljg-read)、找一个领域的约束(用 ljg-constraint)。ljg-constraintlijigang给一个领域、专业、角色、产品或争论找出真正框住它的几条约束,判明它们属于世界/规则/解释(硬/软/自设),看这组约束如何定义身份、补全问题、框出解空间并解释实际行为;尤其用于区分目标相同但约束不同导致的方案分歧,识别被误当硬事实的旧解释。USE WHEN 用户说 '约束', '找约束', '这个领域的约束是什么', '本质约束', '什么框住了它', '硬约束还是自设约束', '边界在哪', '这行为什么这么做', 'constraint', '/ljg-constraint', or gives any domain/profession/role/product/debate and wants its defining constraints and solution space mapped. NOT FOR 往下挖生成器(用 ljg-rank,找的是生成力不是边界)、纵向深钻一个观点到底(用 ljg-think)、拆一本书(用 ljg-book)、一个概念解剖(用 ljg-learn)。ljg-islijigang把一个名词或概念写成可使用的理解:先用普通话讲清它是什么、与相邻概念差在哪里,再说明它怎样运作、会改写什么判断,最后给出面对它时的行动抓手。USE WHEN 用户问 X 是什么、怎么理解、意味着什么、为什么重要、以后怎样判断或使用;尤其适合技术概念、制度、产品、角色、方法、规范与实践。NOT FOR 单纯查事实、公式证明、逐步操作教程、纵向因果深挖(用 ljg-think)或母题结构(用 ljg-structure)。ljg-maplijigang以《学习观》的知识观洞察用户文稿,提炼概念、判别依据与有条件的联结,按文稿自身的关系绘制通俗的形式化知识地图;每个节点都有白话定义、短公式和具体语义,图形不预设层级。USE WHEN 用户调用 /ljg-map,或要求把文章、笔记、讲稿画成形式化地图、思考地形图、概念判别与关系图。NOT FOR 普通摘要、逐段改写、地理地图或单独的公式证明。ljg-structurelijigang找出一段信息中母题级别的结构,把抽象关系展开回具体可见的现象,再用风洞检验关键因果与边界。USE WHEN user says '找结构', '母题是什么', '结构风洞', '背后的结构', '不要只做AB测试', or wants the generative mechanism beneath a problem. 仅当用户明确要求时展开跨域来源或多母题组合。NOT FOR 普通摘要、单个类比、事实查询或已有明确唯一解的执行题。mck-ppt-designlikakuCreate professional, consultant-grade PowerPoint presentations from scratch using MckEngine (python-pptx wrapper) with McKinsey-style design. Use when user asks to create slides, pitch decks, business presentations, strategy decks, quarterly reviews, board meeting slides, or any professional PPTX. AI calls eng.cover(), eng.donut(), eng.timeline() etc — 67 high-level methods across 12 categories (structure, data, framework, comparison, narrative, timeline, team, charts, images, advanced viz, dashaimlilmgeniusWhen data lands with a thin ask — files, a repo, a paste, a chat scrollback — read it and propose what the user is trying to do with it, as a proposal to confirm rather than a question to answer. Use the moment material arrives without a fully-formed ask, or when the ask reads thinner than the data suggests.autobahnlilmgeniusCarve guardrail-adjacent items out of scope with safe alternatives before risk-adjacent work starts, then run the safe remainder at full strength in a fresh subagent that only ever sees the carved prompt, never the risky input. Use when a task includes stealth, scraping, privacy, IP, policy, licensing, security, or other safety-adjacent material that could be silently dropped, over-elaborated, or needlessly diluted. Fires on the impulse, not only the topic: the moment you notice yourself about tcatchuplilmgeniusRebuild the human's lost context on a project from live state, in plain language: what needs them, what changed, what new words mean. Use when the human returns after a gap, says they can't follow the project anymore, asks what happened or what a term means, or before deciding what to do next when their mental model is stale. Read-only; it briefs, it does not act.debloatlilmgeniusCompress an artifact that has accreted into bloat — padding, over-qualification, fused sentences, walls of enumeration, adjacent restatement — down to its load-bearing density, meaning preserved. Use when prose is correct and current but has grown verbose or patched-over and you want it tight without a full rewrite.detoollilmgeniusMake durable artifacts portable by replacing incidental stack, vendor, model, CLI, path, quota, or harness nouns with the mechanism they mean, while keeping provenance, runbooks, and tool-subject claims concrete.factchklilmgeniusVerify reality-grounded claims against external sources in both directions before they ship — could the 'absurd' be real, could the 'obvious' be false or long-established? Use whenever an artifact, or the sentence you are about to write, asserts something as plausible, realistic, absurd, novel, or impossible from intuition rather than a checked source; before relying on a factual claim in prose, a design rationale, a research claim, or a plan. Fires on metacognitive doubt — when you can't actualfeynmanlilmgeniusPress a decision you just made until you can explain it to a skeptic in your own words, or surface the gap where you can't. The Feynman test aimed at a choice: understanding is cheapest to fake the moment after you decide, so a fresh critic presses for what you can't actually explain. Use right after picking an option, especially one an agent laid out without arguing for.hatelilmgeniusAttack a plan, design, or argument like you want it to fail before you commit real effort — return the single load-bearing objection and the cheapest experiment that would prove it matters, not a checklist. User-invoked on purpose: a hate-it reflex always in the agent's reach would bias it toward demolition. Weighs many failure axes but owns the synthesis to one root.macrothinklilmgeniusUser-invoked read-only pass for checking whether the current direction is tunnel-visioned: strip the session's bait, fan out 2 to 5 same-model fresh reads, and report divergence first without treating convergence as proof.mandelalilmgeniusAudit any eval, metric, experiment, or benchmark for leakage — does external ground-truth enter independently, or are the model, scorer, and designer just confirming a result no outside truth ever produced? Use before trusting any 'how we'll know it worked' — an A/B, a holdout, a score, a validation — and whenever a result feels too clean or self-confirming. Walks an 8-pattern leakage taxonomy and returns only the patterns that fire, each with an independence fix. Read-only.modelchklilmgeniusSize a task's run before spending it: the cheapest sufficient capability tier (fast, standard, frontier) and the reasoning effort within it, on a neutral scale that binds to whatever levels the model exposes. Use when work seems over- or under-powered, costly, ambiguous, or high-risk, or asks which model class and how much thinking is enough.nbalilmgeniusRead the live cycle state and return the single highest-leverage next best action, not a menu. Use when a project is between phases, the author asks what to do next, too many valid threads are open, or the work needs re-entry into frame, build, drive, re0-memo, hate, re0-work, or ship.prismlilmgeniusSplit one artifact — a claim, plan, or file — across 2 to 5 independent lenses, one per genuinely distinct failure mode (correctness, security, readability, cost, adversarial-user), and return their convergence: where they agree, where they disagree, and the single next question that resolves the disagreement. Use when one reviewer isn't enough because the failure modes are heterogeneous, or a claim looks strong to its author and needs cross-lens pressure before it ships.re0lilmgeniusRefresh an existing artifact into the current best v0. Use when the user asks to clean up, sync up, dedupe, de-noise, smooth, rewrite, or update an artifact after iteration; when nearby artifacts may have drifted; or when changes in one place should be reflected across related artifacts while keeping the result minimal.re0-gitlilmgeniusRewrite a finished commit's message into a clean, handoff-ready form in your own log style, so `git log` alone tells the story. User-invoked: run it after a commit.re0-looplilmgeniusRun repeated build -> QA -> re0-memo -> re0-work cycles while preserving learning and letting code die. Use for long agentic projects where progress must be measured by quality-cleared templates, reusable modules, and eliminated anti-patterns rather than hours spent or features accumulated.re0-memolilmgeniusTurn a finished, failed, or disappointing work cycle into portable lessons, anti-patterns, quality gates, and next-cycle vocabulary. Use after a build, QA pass, demo, user complaint, or abandoned attempt when the useful output is what the next pass must learn rather than the code itself.re0-mergelilmgeniusReview and land an external contribution the way this suite does: gate it against the thesis, land it with the author's credit intact, complete a new skill rather than merging it raw, then approve, credit, and explain before closing. Use when reviewing a pull request, as any collaborator or maintainer, not only the author.re0-planlilmgeniusOpen a paperthin iteration's casebook before re0-loop's first turn — seeded with real content the moment the folder exists, never an empty directory. User-invoked, paperthin-only: assumes the full skill package installed. Run when opening a new build cycle in this repo.re0-releaselilmgeniusWalk a pending change through this repo's shipping and releasing checklist end to end, then tag and publish once confirmed. User-invoked: run it when you've decided to ship.re0-upgradelilmgeniusBring your installed paperthin skills up to the full current catalog in one step: retire what's been renamed, add every skill you don't have yet, and refresh the rest, all shown and confirmed before anything changes.re0-worklilmgeniusRestart a project or artifact from v0 while preserving only proven lessons, contracts, gates, vocabulary, real-surface tests, and negative corpus. Use when the foundation is wrong, accumulated code is misleading progress, or a new pass should learn from the old one without inheriting its accidental architecture.readchklilmgeniusVerify the model's understanding of a user's instruction before spending non-trivial work. Use when a request is long, bundled, high-stakes, hard to undo, or has ambiguous scope or referents such as this, that, it, the other one, whatever is cleaner, or whichever order makes sense. Restate internally, cross-check against available context, proceed silently when resolved, and surface only a genuine surviving fork.reorderlilmgeniusRealign a listing whose order has gone arbitrary — a list, table, catalog, sections, an enum — into a logical sequence under one stated principle. Move items only: nothing is reworded, added, or removed. Use when the order no longer helps a reader follow the set.showerlilmgeniusCold-read the artifact you're focused on from a fresh, zero-context sub-session to confirm it stands on its own — a shower-thought reset for accumulated session bias. Use when a long session has worn away your fresh eyes and you can no longer tell whether the artifact in focus is clear to someone with no prior context; before a handoff, publish, or merge; or when you want a clean-room comprehension smoke test. Spawns a separate context-free reviewer; it diagnoses, it does not fix.siplilmgeniusAfter you create or change an artifact or skill, taste-test it with our own skills instead of trusting your in-session judgment — recursive self-improvement, made automatic. Use right after writing or editing anything, before calling it done, committing, or handing it off.ssotizelilmgeniusAudit and consolidate a fact that's scattered across places into one canonical source, after approval, and replace the rest with references. Use when asked to find duplication, check consistency, locate the source of truth, deduplicate, consolidate, unify, or establish SSOT across artifacts or platforms. Starts read-only, reports the map and plan, then mutates only after explicit approval.webnovel-dashboardlingfengqaq启动只读小说管理面板,查看项目状态、实体图谱与章节内容。webnovel-initlingfengqaq深度初始化网文项目。通过分阶段交互收集完整创作信息,生成可直接进入规划与写作的项目骨架与约束文件。webnovel-learnlingfengqaq从当前会话提取成功写作模式并写入 project_memory.jsonwebnovel-planlingfengqaq基于总纲生成卷纲、时间线和章纲,并把新增设定增量写回现有设定集。webnovel-querylingfengqaq查询项目设定、角色、力量体系、势力、伏笔等信息。支持紧急度分析与金手指状态查询。webnovel-reviewlingfengqaq使用审查 Agent 评估章节质量,生成报告并写回审查指标。webnovel-writelingfengqaq产出可发布章节,完整执行上下文→起草→审查→润色→提交→备份。enhanced-message-contextlinguiAdd translator comments to Lingui messages so translations are accurate. Use when adding or modifying translatable messages, when strings are short or ambiguous ("Back", "Delete", "Post"), when placeholders are unclear ({count}, {name}), when deciding between comment and context, or when auditing extracted .po catalogs for missing translator context.
