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Skills de Claude Code · página 109

Skills individuales de Claude Code extraídas de todos los repositorios del directorio: cada SKILL.md, instalable con un comando, con su definición completa y las señales de confianza del repo.

13.969 skillsinstalación en 1 comando
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  3. Open, create, read, analyze, edit, or validate Excel/spreadsheet files (.xlsx, .xlsm, .csv, .tsv). Use when the user asks to create, build, modify, analyze, read, validate, or format any Excel spreadsheet, financial model, pivot table, or tabular data file. Covers: creating new xlsx from scratch, reading and analyzing existing files, editing existing xlsx with zero format loss, formula recalculation and validation, and applying professional financial formatting standards. Triggers on 'spreadsheet', 'Excel', '.xlsx', '.csv', 'pivot table', 'financial model', 'formula', or any request to produce tabular data in Excel format.

  4. Use Ontoly's deterministic Software Graph and MCP capabilities for repository architecture, request tracing, dependency analysis, configuration lookup, and impact analysis before falling back to source search.

  5. Use when writing an OpenCLI adapter for a new site or adding a new command to an existing site. Guides end-to-end from first recon through field decoding, adapter coding, and verify. Replaces opencli-oneshot / opencli-explorer. For ad-hoc browser driving (no adapter), see opencli-browser instead; for a top-level orientation to opencli, see opencli-usage.

  6. Automatically fix broken OpenCLI adapters when commands fail. Load this skill when an opencli command fails — it guides you through collecting a trace artifact, patching the adapter, retrying, and filing an upstream GitHub issue after a verified fix. Works with any AI agent.

  7. Use when an agent needs to drive a real Chrome window via opencli — inspect a page, fill forms, click through logged-in flows, or extract data ad-hoc. Covers the selector-first target contract, compound form fields, stale-ref handling, network capture, and the agent-native envelopes the CLI returns. Not for writing adapters — see opencli-adapter-author for that.

  8. Use when driving a website with opencli browser and sitemap context is available, requested, or needed to avoid blind navigation. Guides agents to consume site sitemap files lazily, choose adapter/browser fallback paths, resume from state signatures, and mark stale sitemap entries without trusting them over live browser state.

  9. Use when creating or maintaining OpenCLI site sitemaps: agent-facing navigation, page-state, action, workflow, API-reference, pitfall, and fallback knowledge for a website. Use after browser exploration discovers durable site context, when a sitemap is stale, or when promoting local site knowledge into the repo.

  10. Use at the start of any OpenCLI session — this is the top-level map of what `opencli` can do, how to discover adapters, what flags and output formats are universal, and which specialized skill to load next. Point here when an agent asks "what can opencli do?" or "how do I find the right command?".

  11. Fetch dependency source code to give AI agents deeper implementation context. Use when the agent needs to understand how a library works internally, read source code for a package, fetch implementation details for a dependency, or explore how an npm/PyPI/crates.io package is built. Triggers include "fetch source for", "read the source of", "how does X work internally", "get the implementation of", "opensrc path", or any task requiring access to dependency source code beyond types and docs.

  12. Manus-style persistent file-based planning for AI coding agents: keeps task_plan.md, findings.md, and progress.md on disk so work survives context loss and /clear. Use when asked to plan out, break down, or organize a multi-step project, research task, or any work requiring 5+ tool calls. Supports automatic session recovery after /clear.

  13. Generate, edit, and read PowerPoint presentations. Create from scratch with PptxGenJS (cover, TOC, content, section divider, summary slides), edit existing PPTX via XML workflows, or extract text with markitdown. Triggers: PPT, PPTX, PowerPoint, presentation, slide, deck, slides.

  14. 中文产品决策 Agent。用于中国大陆互联网产品、运营、增长、商业化、数据、项目推进和组织协作场景:产品规划、需求分析、PRD、需求优先级、排期、版本规划、Roadmap、MVP、灰度、上线、迭代、增长停滞、拉新、投放、渠道、裂变、CAC、LTV、ROI、留存、转化、DAU/MAU、GMV、漏斗、社区运营、内容供给、创作者、用户运营、活动运营、私域、会员、定价、指标异常、数据口径、埋点、A/B Test、用户反馈、客服/销售反馈、竞品冲击、资源不足、项目延期、需求反复、老板临时插需求、跨部门协作、团队冲突、OKR/KPI、目标拆解、复盘等。触发时像资深互联网产品负责人一样,先判断真实问题、当前阶段、核心阻塞、关键约束、相关方和证据充分性,再给出最值得执行的下一步。默认中文回答,不讲理论、不引用原文、不解释历史、不暴露后台方法来源。

  15. Build a throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right, or explore what a UI should look like.

  16. Comprehensive GLSL shader techniques for creating stunning visual effects — ray marching, SDF modeling, fluid simulation, particle systems, procedural generation, lighting, post-processing, and more.

  17. 基于 opencli 命令的智能搜索路由器。当用户想要使用 OpenCLI、CLI 或 API 搜索、查询、查找或研究信息时,尤其是涉及指定网站、社交媒体、技术资料、新闻、购物、旅游、求职、金融或中文内容时,务必使用此 skill

  18. Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

  19. tdd504

    Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.

  20. Teach the user a new skill or concept, within this workspace.

  21. Author a Lottie (Bodymovin) JSON animation that renders in a local skia player. Use whenever the user asks to create, generate, edit, or fix a Lottie animation, or asks for "an animation" to load.

  22. Use when the user needs X (Twitter) data through Xquik: tweet search, user lookup, follower export, media download, monitoring, webhooks, MCP, SDK setup, or confirmation-gated publishing workflows. Read-only by default, API-key only, no X login material, and every write, private read, monitor, webhook, or metered bulk job requires explicit approval.

  23. LLM and AI application security testing — prompt injection, jailbreak resistance, OWASP LLM Top 10 (2025), RAG and agent/tool-use security, model supply chain, and AI red teaming for authorized assessments

  24. System hardening, detection engineering, security baseline monitoring, patch management, defense-in-depth architecture, and security posture improvement

  25. AWS/Azure/GCP security auditing, container and Kubernetes hardening, Infrastructure as Code scanning, and cloud compliance assessment

  26. SSL/TLS auditing, cipher suite analysis, hash algorithm identification, encryption implementation review, and cryptographic weakness detection in code

  27. SOC alert triage, incident playbook automation, escalation workflows, shift reporting, and SOC KPI tracking

  28. Proof-of-concept development, payload crafting, shellcode analysis, and exploitation technique research for authorized security testing

  29. Governance, risk, and compliance — risk assessment and scoring, control mapping across NIST CSF 2.0 / ISO 27001:2022 / SOC 2 / CIS Controls v8, gap analysis, audit evidence preparation, and security policy generation

  30. IR playbook execution, evidence collection, forensic timeline analysis, memory forensics, and post-incident reporting following NIST SP 800-61 and SANS PICERL methodology

  31. Security log parsing, anomaly detection, SIEM query building, Sigma rule creation, and correlation rule development across Splunk, Elastic, QRadar, and Microsoft Sentinel

  32. Static and dynamic malware analysis, YARA rule generation, sandbox configuration, behavioral profiling, and malware family classification

  33. Android and iOS application security testing — static and dynamic analysis, APK/IPA inspection, OWASP MASVS/MASTG verification, secure-storage and transport review, and mobile malware triage for authorized assessments

  34. Network traffic analysis, PCAP parsing, IDS/IPS rule creation, firewall configuration auditing, and network anomaly detection

  35. Operational Technology and industrial control system security — Purdue model segmentation, industrial protocol analysis (Modbus, DNP3, S7, EtherNet/IP), PLC/HMI exposure, IEC 62443 alignment, and MITRE ATT&CK for ICS, for authorized and safety-conscious assessments

  36. Passive and active reconnaissance, subdomain enumeration, DNS analysis, technology fingerprinting, and OSINT data correlation for authorized security assessments

  37. Authorized red team engagement planning, C2 architecture design, attack methodology, lateral movement strategy, OPSEC, and professional reporting

  38. Binary analysis, assembly interpretation, disassembly, decompilation, firmware RE, and protocol reverse engineering

  39. IOC extraction, threat intelligence correlation, MITRE ATT&CK mapping, hunt hypothesis generation, and detection rule creation

  40. Dependency auditing, CVE detection, configuration security review, CVSS scoring, and prioritized vulnerability reporting

  41. OWASP Top 10 testing, injection vulnerability detection, API security assessment, authentication testing, and web vulnerability reporting for authorized assessments

  42. When writing code against an external library, framework, SDK, or API, look up its CURRENT documentation with the context7 MCP tools instead of relying on memory. Use whenever you import/call a third-party package or hit an unfamiliar or fast-moving API.

  43. Before telling the user a coding task is done, actually verify it — build, run the relevant tests/linter, and confirm the change does what was asked with no regressions. Use whenever you are about to claim a change is finished, fixed, or working.

  44. Turn any source that describes how a kind of task gets done (a SKILL.md, a chat log, a runbook, plain prose) into a runnable Morph trace. Lift it into a DAG, write a contract per step, place inputs, and drive the full run lifecycle to verify it. Use whenever someone wants to make a trace from a source.

  45. Turn a concept, feature description, blog post, or pitch into a single beautiful, on-brand illustration by matching it to a real unDraw illustration in a local library and recoloring it to the brand accent — genuine illustrator quality, not an AI-drawn approximation. Use whenever the user asks to "make an illustration," "create a graphic," "visualize this concept," "explain this visually," wants something "unDraw-style" or "Storyset-style," needs a hero/feature/blog illustration, or says an idea needs a picture. Trigger even if they don't name a style — "make something to explain X" or "I need a graphic for this tweet" both qualify.

  46. Generate genuinely beautiful, on-brand UI instead of generic "AI slop" — use whenever the user asks to build, design, style, or improve a UI, landing page, dashboard, app screen, or component, whenever a PRD/spec needs a design pass before implementation, whenever the user pastes reference images/Pinterest/Dribbble links and wants the app to look like them, or whenever the user complains the AI-generated UI looks generic, boring, cookie-cutter, or "like every other AI app." Make sure to trigger this even if the user doesn't say "design" explicitly — phrases like "make this look good", "build the frontend for X", "this looks like every other SaaS site", or "match this vibe" all qualify. Also triggers on two verbs, "study"/"extract the look of" a reference screenshot or URL, and "audit"/"review"/"why does this look AI-generated" for critiquing existing UI.

  47. Run a Maestro-style accessibility audit for WCAG compliance, ARIA usage, keyboard navigation, and screen reader compatibility

  48. Archive the active Maestro session while preserving the shared state layout

  49. Скилл для очеловечивания русскоязычного текста. Убирает признаки AI-генерации, делает текст живым. Используй ВСЕГДА, когда пользователь просит: очеловечить текст, убрать следы нейросети, сделать текст живым/естественным, переписать как человек, humanize на русском, убрать канцелярит, убрать водянистость, сделать текст менее формальным. Также используй если пользователь вставляет русскоязычный текст и говорит что-то вроде 'перепиши', 'сделай лучше', 'звучит как робот', 'слишком искусственно'. Работает ТОЛЬКО с русским языком. Для английского используй оригинальный humanizer. НЕ используй для: перевод, написание с нуля, грамматика, код.

  50. Generate cinematic AI shortfilm prompts (works with Seedance 2.0, Xiaoyunque, Sora, Kling, Jimeng, Veo) using the 5-stage structure from Mx-Shell's Zombie Scavenger. Trigger when the user wants transformation sequences, multi-shot narrative shorts, weapon-charge/combat segments, emotional family/pet/farewell narratives (催泪/亲情/萌宠/离别), or any cinematic video prompt.

  51. Review legal contracts, NDAs, employment agreements, SaaS terms, and M&A documents. Identifies unfavorable terms, suggests redlines, and compares to market standards. Use for contract analysis, due diligence, or negotiation prep.

  52. Multi-LLM collaborative brainstorming and planning. Use when user explicitly requests consultation with multiple AI models (ChatGPT, Gemini, other LLMs) before presenting an implementation plan, or asks to "consult the council", "ask other models", or "get perspectives from other AIs". Queries external LLM APIs, synthesizes their perspectives, and presents an adapted implementation plan.

  53. Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.

  54. Use when user asks to compare masters, compare schools, compare perspectives, 对比, 各宗怎么看, 不同宗派, 禅净之争, 性相之辩, 空有之争, or wants multiple masters to answer the same question. Triggers include "对比"、"比较"、"各宗"、"不同宗派怎么看"、"禅宗和净土"、"天台和华严"、"唯识和中观"、"空有之争"、"性相之辩"、"各位祖师"、"多个角度"、"compare"、"comparison" — invoke whenever user's question implicitly or explicitly seeks multi-tradition perspectives on a Buddhist topic.

  55. 基于佛教经典文献,生成特定高僧大德的 AI 教学角色

  56. Use when user asks about 南传佛教, 上座部, Theravada, 巴利经典, 正念 sati, 放下, 三法印, 四念处, 出入息念 anapanasati, 戒定慧, 毗婆舍那, 森林禅林派, 巴蓬寺, 阿姜查, 杜多行, 中道, or wants teaching in 阿姜查 Ajahn Chah's voice. Triggers include "阿姜查"、"Ajahn Chah"、"森林禅"、"上座部"、"南传"、"巴利"、"正念"、"放下"、"禅修方法"、"妄念太多"、"打坐坐不住"、"巴蓬寺"、"杜多行"、"心的训练" — invoke whenever user's question touches Theravada / Thai Forest / mindfulness practice or asks about Ajahn Chah, even without explicit request.

  57. Use when user asks about 藏传, 噶当派, Kadam, 三士道, 菩提道灯论, Bodhipathapradīpa, 阿底峡, Atiśa, 金洲大师, 七因果, 自他相换, 菩提心, 依止善知识, 暇满, 业果, 噶当六论, 仲敦巴, 热振寺, 藏地后弘期, or wants teaching in 阿底峡尊者 Atiśa's voice. Triggers include "阿底峡"、"觉沃杰"、"Atisha"、"Jowo Je"、"菩提道灯"、"道灯论"、"三士道"、"七因果"、"自他相换"、"金洲"、"噶当"、"仲敦巴"、"热振寺"、"道次第之祖" — invoke whenever user's question touches Kadam / lamrim foundations / bodhicitta cultivation, even without explicit request.

  58. Use when user asks about 南传, 上座部, Theravāda, 巴利, 清净道论, Visuddhimagga, 戒定慧, 四十种业处, kammaṭṭhāna, 十遍, kasiṇa, 七清净, 十六观智, 阿毗达摩, Abhidhamma, 觉音尊者, Buddhaghosa, 大寺派, Mahāvihāra, 缘起十二支, 三法印, or wants teaching in 觉音尊者 Buddhaghosa's voice. Triggers include "觉音"、"Buddhaghosa"、"清净道论"、"Visuddhimagga"、"戒定慧三学"、"四十业处"、"七清净"、"十六观智"、"阿毗达摩注释"、"尼柯耶注释"、"上座部论师"、"大寺派" — invoke whenever user's question touches Theravāda commentarial / Visuddhimagga / Abhidhamma exegesis, even without explicit request.

  59. Use when user asks for a sequenced learning path within a Buddhist tradition — 学修次第, 先学什么, 从哪入门, 下一步读什么, curriculum, 学习计划, 路径推荐. Differs from /compare-masters (parallel opinion) and /master-debate (adversarial dialectic) by being 纵向 / 时序: stage-by-stage plan keyed on tradition × level (L0-L3) → foundation → intermediate → advanced + blind spots. Trigger is planning intent — "禅宗对比" goes to /compare-masters; "禅宗从哪开始学" goes here.

  60. Use when user explicitly asks for an adversarial / multi-round dialectic between masters — 祖师辩论, 各执一词, 谁更对, debate, 应成 vs 顿悟, 顿渐之争. Differs from /compare-masters (parallel single-round) by being adversarial multi-round via fresh-subagent orchestration. Topics 空有 / 禅净 / 性相 / 戒律 vs 内观 — trigger is adversarial framing: "禅净比较" → compare; "禅净辩论 / 谁更究竟" → here.

  61. Use when user asks about 华严宗, 法界缘起, 四法界, 事事无碍, 十玄门, 六相圆融, 金师子章, 一即一切, 因陀罗网, 华严经, 五教判, or wants teaching in 法藏大师 Fazang's voice. Triggers include phrases like "华严"、"法藏"、"贤首"、"法界"、"事事无碍"、"十玄"、"六相"、"金师子"、"一即一切"、"理事无碍"、"因陀罗网"、"别教一乘"、"五教"、"毗卢遮那"、"一真法界" — invoke whenever user's question touches Huayan doctrine, even without explicit request.

  62. Use ONLY when the user says they do not know which master or which teaching mode to use — 不知道问谁, 该找哪位祖师, 该用哪个模式, 有哪些法师, which master should I ask, help me choose. This is a router, not a teacher: it names a destination and stops. If the user asks an actual doctrinal or practice question, do NOT invoke this — let the matching master skill answer directly.

  63. Use when user asks about 禅宗, 六祖, 坛经, 顿悟, 见性成佛, 直指人心, 不立文字, 自性, 本心, 无念, 无相, 无住, 般若, 定慧一体, 明心见性, 南宗禅, or wants teaching in 慧能大师 Huineng's voice. Triggers include phrases like "禅"、"慧能"、"六祖"、"坛经"、"顿悟"、"见性"、"本来面目"、"菩提本无树"、"风动幡动"、"本来无一物"、"自性"、"机锋"、"烦恼即菩提"、"不二"、"弘忍" — invoke whenever user's question touches Chan/Zen doctrine, even without explicit request.

  64. Use when user asks about 中观, 三论宗, 般若, 空性, 中道, 八不, 缘起性空, 法华经, 金刚经, 维摩诘, 不二法门, 一佛乘, 大智度论, or wants teaching in 鸠摩罗什 Kumārajīva's voice. Triggers include phrases like "中观"、"三论"、"空"、"般若"、"中道"、"八不"、"缘起性空"、"法华"、"金刚经"、"维摩诘"、"不二"、"实相"、"一佛乘"、"鸠摩罗什"、"罗什"、"会三归一"、"火宅"、"方便"、"中论"、"大智度论"、"百论"、"十二门论" — invoke whenever user's question touches Madhyamaka/Prajñā/Lotus doctrine, even without explicit request.

  65. Use when user asks about 南传, 上座部, 缅甸内观, Mahasi Method, 标记法, Noting Method, 腹部起伏, 毗婆舍那, vipassanā, 四念处, 七清净, 十六观智, 刹那定, 行舍智, 马哈希尊者, Mahasi Sayadaw, Mahasi Sasana Yeiktha, IMS, or wants teaching in 马哈希尊者 Mahāsi Sayādaw's voice. Triggers include "马哈希"、"Mahasi"、"Sayadaw"、"标记法"、"腹部起伏"、"缅甸内观"、"密集禅修"、"十六观智"、"刹那定"、"妄念太多" — invoke whenever user's question touches Burmese vipassanā / Mahasi noting method, even without explicit request.

  66. Use when user asks about 藏传佛教, 噶举派, 大手印, phyag chen, 拙火, tummo, 那洛六法, 苦行, 闭关, 道歌, mgur, 米拉日巴, 玛尔巴, 上师瑜伽, 出离, 暇满, 中阴, 气脉明点, 觉受, nyams, 本觉, rig pa, or wants teaching in 米拉日巴尊者 Milarepa's voice. Triggers include "米拉日巴"、"密勒日巴"、"Milarepa"、"道歌"、"十万歌集"、"大手印"、"拙火"、"那洛六法"、"玛尔巴"、"噶举"、"白教"、"山洞修行"、"苦行"、"上师瑜伽"、"中阴"、"明空" — invoke whenever user's question touches Tibetan Kagyu / Mahāmudrā / yogi practice or asks about Milarepa's life and teachings, even without explicit request.

  67. Use when user asks about 中观, 空性, 缘起性空, 八不中道, 二谛, 世俗谛, 第一义谛, 戏论, 毕竟空, 不可得, 如幻, 离四句, 破自性, 难行道易行道, 龙树, or wants teaching in 龙树菩萨 Nāgārjuna's voice. Triggers include phrases like "空"、"中观"、"缘起"、"性空"、"八不"、"中道"、"二谛"、"世俗谛"、"第一义谛"、"戏论"、"毕竟空"、"不可得"、"如幻"、"离四句"、"涅槃与世间"、"龙树"、"中论"、"大智度论"、"十二门论"、"回诤论"、"易行道" — invoke whenever user's question touches Madhyamaka/emptiness/two-truths doctrine, even without explicit request.

  68. Use when user asks about 蕅益大师, 教宗天台, 行归净土, 六信, 弥陀要解, 教观纲宗, 灵峰宗论, 性相融会, 禅教律净, 念佛, 事持理持, 现前一念, 一念心性, 净土宗第九祖, 明末四大高僧, 占察忏, or wants teaching in 蕅益 Ouyi's voice. Triggers include "蕅益"、"智旭"、"弥陀要解"、"教宗天台"、"行归净土"、"六信"、"事持"、"理持"、"性相融会"、"禅教律净"、"教观纲宗"、"灵峰"、"现前一念"、"明末四大高僧"、"占察轮相" — invoke whenever user's question touches Ouyi's cross-school synthesis or Tiantai-Pureland integration, even without explicit request.

  69. Use when user asks about 藏传, 格鲁派, Gelug, 黄教, 三主要道, 菩提道次第广论, lam rim, 密宗道次第广论, 应成中观, 缘起性空, 辨了不了义, 宗喀巴, Tsongkhapa, Je Rinpoche, 甘丹寺, 戒律, 因明, 月称, 入中论, or wants teaching in 宗喀巴大师 Tsongkhapa's voice. Triggers include "宗喀巴"、"杰仁波切"、"Je Rinpoche"、"格鲁"、"黄教"、"道次第"、"广论"、"三主要道"、"应成中观"、"辨了不了义"、"甘丹"、"达赖喇嘛传承根基" — invoke whenever user's question touches Gelug doctrine / lamrim / Madhyamaka prasaṅgika / Tibetan tantra-shastra studies, even without explicit request.

  70. Use when user asks about 唯识, 法相宗, 阿赖耶识, 末那识, 三性, 遍计所执, 依他起, 圆成实, 五位百法, 因明, 转识成智, 种子, 熏习, 瑜伽师地论, 成唯识论, or wants teaching in 玄奘法师 Xuanzang's voice. Triggers include phrases like "唯识"、"法相"、"玄奘"、"阿赖耶"、"末那"、"三性"、"百法"、"因明"、"转识成智"、"种子"、"遍计所执"、"依他起"、"圆成实"、"五种不翻"、"唯识三十颂"、"瑜伽"、"慈恩" — invoke whenever user's question touches Yogācāra/Vijñānavāda doctrine, even without explicit request.

  71. Use when user asks about 虚云, 参禅, 话头, 念佛是谁, 疑情, 开悟, 桶底脱落, 禅七, 行香, 丛林, 五宗兼嗣, 临济, 曹洞, 沩仰, 云门, 法眼, 老实修行, 头陀行, 持戒, 禅净双修, 云居山, 南华寺, or wants teaching in 虚云老和尚 Xuyun's voice. Triggers include "虚云"、"参话头"、"念佛是谁"、"疑情"、"禅七"、"行香"、"丛林规矩"、"桶底脱落"、"五宗"、"杯子扑落地"、"老实修行"、"头陀"、"禅堂"、"坐禅"、"数息" — invoke whenever user's question touches Chan practice, meditation methods, or monastic discipline, even without explicit request.

  72. Use when user asks about 印光大师, 净土, 念佛, 持名念佛, 十念法, 摄耳谛听, 老实念佛, 信愿行, 带业往生, 仗佛慈力, 自力他力, 竖出横超, 往生, 极乐, 阿弥陀佛, 净土三经, 敦伦尽分, 闲邪存诚, 因果报应, 文钞, 一函遍复, or wants teaching in 印光大师 Yinguang's voice. Triggers include "印光"、"文钞"、"老实念佛"、"信愿行"、"带业往生"、"仗佛慈力"、"横超竖出"、"都摄六根"、"净念相继"、"敦伦尽分"、"闲邪存诚"、"因果"、"十念法"、"摄耳谛听"、"一函遍复"、"净土三经"、"往生" — invoke whenever user's question touches Pure Land practice, Amitabha recitation, or faith-vow-practice, even without explicit request.

  73. Use when user asks about 天台宗, 止观, 一念三千, 三谛圆融, 五时八教, 摩诃止观, 法华经, or wants teaching in 智者大师 Zhiyi's voice. Triggers include phrases like "天台"、"智者大师"、"止观怎么修"、"三谛"、"法华"、"一心三观"、"判教"、"圆教"、"四种三昧" — invoke whenever user's question touches Tiantai doctrine, even without explicit request.

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  75. >

  76. Use the Claude Code CLI to consult Claude and delegate coding tasks for prototyping, debugging, and code review. Supports multi-turn sessions via SESSION_ID. Optimized for low-token, file/line-based handoff.

  77. Use the Gemini CLI to consult Gemini and delegate coding tasks for prototyping, debugging, and code review. Supports multi-turn sessions via SESSION_ID. Optimized for low-token, file/line-based handoff.

  78. >

  79. Prevent Kubernetes hallucinations by diagnosing and fixing failure modes: insecure workload defaults, resource starvation, network exposure, privilege sprawl, fragile rollouts, and API drift. Use when generating, reviewing, refactoring, or migrating manifests, Helm charts, Kustomize overlays, cluster policies, and platform-specific Kubernetes work for EKS, GKE, AKS, OpenShift, GitOps controllers, or observability stacks.

  80. Execute natural language tasks using AI

  81. Make AI-powered assertions about screen state

  82. Deploy TestDriver on your AWS infrastructure using CloudFormation

  83. Speed up tests with screenshot-based caching

  84. 1.7x faster test execution with intelligent caching and optimization

  85. Solve captchas using 2captcha service

  86. Run TestDriver tests in CI/CD with parallel execution and cross-platform support

  87. Click at specific coordinates or on elements

  88. Initialize and configure the TestDriver SDK client

  89. The fastest way to get started with TestDriver. Just set your API key and start testing.

  90. Configure TestDriver sandbox options and environment settings

  91. Record test execution with video and logs

  92. View and analyze saved screenshots using MCP commands for test debugging and development

  93. Launch browsers, desktop apps, and extensions in your TestDriver sandbox

  94. Perform a double-click action on an element or at specific coordinates

  95. Locate and interact with UI elements using AI

  96. Self-hosted enterprise deployments with assisted setup and dedicated support

  97. Custom error classes and error handling

  98. Listen to SDK lifecycle events with wildcard support

  99. TestDriver examples skill

  100. Execute shell or PowerShell commands in the sandbox