3,639 skills found · Page 21 of 122
HKUSTDial / figure-designerAdvises on the design of the three core figures in a technical paper: the Motivated Example (Figure 1), the Solution Overview (Methodology), and the Experimental Results figures. Recommends the right design paradigm, layout, labelling, and tool for each figure type, then runs a quality-control audit
HKUSTDial / intro-drafterDrafts the Introduction prose for a technical paper, guided internally by a six-paragraph flowchart: background and running example, existing limitations, problem essence and goal, key challenges, solution overview, contributions.
HKUSTDial / rebuttal-guidanceProvides actionable peer-review rebuttal guidance (not full rebuttal prose) using conditional persuasion P(Z|X,Y): match reviewer mindset X, recommend strategy Y, optionally ground in manuscript evidence and similar successful historical (review, rebuttal) pairs
lijigang / ljg-rank给一个领域，找出背后真正撑着它的几根独立的力。十几个现象砍到不可再少的生成器——砍完能把现象一个个生回来，才算数。Use when user says '降秩', '找秩', '秩是什么', '这个领域靠什么撑着', '背后是什么', or wants to decompose any domain to its irreducible generators.
lijigang / ljg-blind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 fil…
lijigang / ljg-cardContent caster (铸). Transforms text into PNG through precise HTML typography and, when the mold needs it, generated raster imagery. Four molds: -l (default) long reading card, -f source-faithful full text, -c comic, -w whiteboard.
lijigang / ljg-constraint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 wa…
lijigang / ljg-relationshipRelationship analyst combining structural diagnostics (5-layer framework) with psychoanalytic depth (transference, unconscious patterns, resistance). Guides users through dialogue to "see" the real structure of their relationship issues
lijigang / ljg-structure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。
lijigang / ljg-is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）。
lijigang / ljg-qa信息提问机。给一篇文章/论文/书，把核心观点抽成 Q-A 对——Question 切要害，不教科书；Answer 简洁清晰，有形式化收口，逻辑链完整。读者顺 Q 链走过，每个 A 砸下一枚钉子，复现作者整套推理。Use when user says '问答', 'Q&A', 'QA', '提问', '抽取问题', '/ljg-qa', or shares an article/paper/book and asks for Q-A extraction.
lijigang / ljg-explain把概念、公式、机制与原理讲到能辨认、能推导、能迁移：用通俗中文接通具体情境、判别依据、运作过程和成立条件。USE WHEN 用户调用 ljg-explain、说「通俗易懂地讲解」「讲透这个概念或公式」「费曼讲解」「ELI5」，或希望从零理解一个知识点并能用于新情境。NOT FOR 单纯润色或翻译、整篇伴读、整本书或论文解读、只要求形式证明或操作步骤。
lijigang / ljg-invest投资分析。给一个项目（公司名、BP、创始人对话记录），写一份深度投资分析报告。不走传统投资分析的路——核心判断只有一个：这个项目是不是一台「秩序创造机器」。Use when user says '投资报告', '投资分析', '分析这个项目', '写投资报告', 'investment report', 'invest analysis', or provides entrepreneur conversation records wanting investment evaluation.
Devin-AXIS / daytona-windows-certtest on Windows, enterprise CA, corporate certificate, GPO cert, TLS fetch failed, Windows sandbox, daytona windows, self-hosted cert
Devin-AXIS / shadcnManages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI. Provides project context, component docs, and usage examples. Applies when working with shadcn/ui, component registries, presets, --preset codes, or any project with a components.json file.
Devin-AXIS / fraimzcreate a fraimz, make fraimz, prove it works, frame proof, PR proof, validate experience, e2e evidence, fraimz.html. The full fraimz loop — frame the claim, drive the real app via CDP, validate/repair, output fraimz.html
Devin-AXIS / create-pluginCreate an OpenCode plugin for iPolloWork. Scaffolds the plugin file with the correct API shape, tool definitions, and hook registration
Devin-AXIS / ipollowork-video-component-authoringDevelop or update reusable visual components for iPolloWork Video, including maps, charts, rankings, diagrams, openings and endings. Use for component authoring rules, manifests, editable variables, shared data forms, inherited design themes, AI editing slots and seekable HyperFrames timelines.
Devin-AXIS / daytona-electron-denElectron and Den, desktop plus cloud, two-sandbox e2e, cloud auth, marketplace, org policy, worker proxy, provider sync, desktop handoff. Validate Electron against a Daytona Den server with unified proof.
Devin-AXIS / run-evalsdo e2e tests, run e2e, validate feature, prove it works, PR proof, frame proof, pnpm evals. Launches iPolloWork on Daytona or local Electron and runs the coded eval flows via CDP. Launch + run mechanics; the proof loop itself is the fraimz skill.
Devin-AXIS / ipollowork-template-generationCreate or update reusable iPolloWork templates through conversation for Design, Slides/native editable PPT, and HyperFrames Video
Devin-AXIS / daytona-devDaytona development environment overview
Devin-AXIS / daytona-chrome-cdpLaunch and control standalone Chrome in a Daytona sandbox via CDP. Use for web sign-in, OAuth, Den Web setup, browser-only flows, or when the app should not be driven through Electron CDP.
Devin-AXIS / upload-photoupload a photo/image/screenshot, host an image, get a public image URL, put images on Vercel Blob, embed images in a PR/comment/doc. Upload local images to Vercel Blob and print public URLs.
Devin-AXIS / get-env-varget an env var, fetch a secret, missing env var, missing token/API key, load secrets from Infisical, infisical. Fetch secrets from the team's Infisical workspace into the shell environment so subsequent commands can use them.
trailofbits / aflppSets up and runs AFL++ for multi-core fuzzing of C/C++ projects built with afl-clang-fast or afl-gcc-fast. Covers instrumentation modes, parallel main and secondary campaigns, persistent mode, corpus minimization, and crash triage
trailofbits / atherisSets up and runs Atheris, the coverage-guided Python fuzzer built on libFuzzer. Covers TestOneInput harnesses, FuzzedDataProvider, instrumenting both pure Python and native C extensions, and running under AddressSanitizer
trailofbits / constant-time-testingMeasures timing side channels in cryptographic implementations by running them, using dudect for statistical analysis and Timecop over Valgrind for dynamic tracing. Covers the formal, symbolic, dynamic, and statistical tool categories and how to read a result
trailofbits / coverage-analysisMeasures and interprets what a fuzzing campaign actually reaches, using llvm-cov, lcov, or a fuzzer's own coverage output. Covers baselining a new campaign, reading coverage reports, and turning uncovered regions into harness, seed, or dictionary work
trailofbits / fuzzing-obstaclesPatches past the barriers that stop a fuzzer making progress — checksum and hash verification, magic-value validation, time-based seeds, and other non-deterministic global state.
