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概要と使いどころ
Stop AI agents from secretly bypassing your rules. Mechanical enforcement with git hooks, secret detection, deployment verification, and import registries. Born from real production incidents: server crashes, token leaks, code rewrites. Works with Claude Code, Clawdbot, Cursor. Install once, enforce forever.
日本語の概要は準備中です。原文の説明を表示しています。
Expert LLM architect specializing in large language model architecture, deployment, and optimization. Masters LLM system design, fine-tuning strategies, and production serving with focus on building scalable, efficient, and safe LLM applications.
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Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.
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Quality validation specialist covering functional, performance, and security testing to ensure production readiness through evidence-based testing.
日本語の概要は準備中です。原文の説明を表示しています。
Frontend specialist creating distinctive, production-grade interfaces
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Use whenever the user wants to find, shortlist, vet, or enrich US marketing agencies — including branding, content marketing, PPC/paid media, social media, email marketing, performance/demand-gen, video production, and full-service digital agencies. Triggers on requests like "shortlist three B2B branding agencies in California", "find a PPC shop with ecommerce experience", "we need a content marketing partner for a SaaS launch", or "pull contact info for these 12 agency domains", even when the need is described indirectly. Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm catalog filterable by industry, services, location, size, ratings, and third-party listings. Skip SEO-only asks (use find-seo-agency), web/software-development asks (use find-web-developer or find-software-developer), recruiting an in-house marketing hire, "write me a marketing plan" do-the-work asks, non-US firms, individual freelancers, marketing-software-product recommendations, and consumer/personal-brand asks.
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Use whenever the user wants to find, shortlist, vet, or enrich US AI/ML/data consulting firms (consultancies) — AI/ML development, MLOps, generative AI / LLM apps (RAG, chatbots, agents), computer vision, NLP, recommendation systems, data engineering, BI/analytics. Triggers on "find an AI/ML consulting firm to build our recommendation engine", "shortlist three RAG/LLM consultancies for an enterprise chatbot", "compare three AI/ML consulting firms with strong ratings", or "pull contact info for these 8 AI consultancy domains", even when described indirectly (we want to use AI for X, deploy ML to production). Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm catalog filterable by industry, services, location, size, ratings. Defer to find-software-developer for general app/backend work where AI is just a feature. Skip in-house ML/data hires, LLM/AI-tool comparisons (ChatGPT vs Claude), "how do I fine-tune X" DIY questions, AI courses for individuals, non-US firms, individual freelancers.
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Writing `as` in TypeScript or TSX production code, modifying a file that contains a bare `as` cast, silencing a type error with a cast, encountering `as unknown as`, or reviewing a cast site.
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Use only for reviewing completed Biome PRs, branches, commit ranges, diffs, or working trees against business logic and requirements. Excludes broad code-quality and process audits, triage, reproduction, and implementation.
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What this project has already learned the hard way, and where any new such fact belongs. Two jobs. (1) Routing: this project keeps NO per-project Claude memories — read this before writing anything down, and pick a durable home from the list here. (2) An index, by area, of non-obvious facts worth knowing before you guess: debugging rigs and measurements that lie, iOS/WebKit and the tethered iPhone, the Windows app, production and deployment, and general codebase traps. Use before setting up a browser- or server-driven debugging session, when a bug reproduces only on iPhone, in Safari or in the Windows app, before changing deployment configuration or reading store/crash data, when something behaves unexpectedly and you are about to guess why, and whenever you are tempted to record a fact for later.
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Publish a tested Voxt release to the stores: Google Play production, App Store review (iOS + Mac Catalyst), Microsoft Store certification. Use when the user says "promote the release", "publish the apps", "release to the stores", "/promote-release", or after /prepare-release once the staged builds have been tested.
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Plan webinar and event marketing — topic selection, promotion strategy, content production, registration flow, and post-event follow-up sequences. Use when "webinar", "event marketing", "virtual event", "live event", "workshop", "online event", or any request to plan, promote, or produce a webinar or marketing event.
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Launch a podcast or plan podcast guest strategy — format, content planning, episode production, guest outreach, and distribution. Use when "podcast", "start a podcast", "podcast marketing", "podcast guest", "podcast strategy", "be a podcast guest", "launch a show", or any request related to podcast creation or guest appearances.
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Plan and produce newsletter editions — content selection, subject lines, scheduling, and production with quality gates. Use when "newsletter", "plan newsletter", "newsletter content", "email newsletter", "weekly digest", or any request to create or manage a newsletter.
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Full marketing audit — runs all relevant checklists against your product, site, and marketing in one go. Covers SEO, content, email, ads, social media, CRO, landing pages, technical SEO, and creative production. Produces a "state of your marketing" report with health scores per area and a prioritized fix list. Use when "marketing audit", "full audit", "audit everything", "marketing health check", "what's broken", "state of marketing", or any request to comprehensively assess marketing across all channels.
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Use when 高教社杯/CUMCM mathematical modeling work needs lightweight reusable paper assets, national-prize style paragraph templates, section controls, per-question code/plot/test scaffolds, evidence registries, paper fragments, reproduction scripts, or safe reuse of prior contest project structure without copying old problem-specific content.
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Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for custom binary or text protocol recovery, handshake reconstruction, framing, sequence control, checksums, stateful replay, and accepted-session reproduction. Use when the user asks to decode an unknown protocol, recover custom framing, build a replay harness, satisfy sequence or checksum rules, replay a captured session, or prove the smallest message order that reaches an accepted branch. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.
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配置构建工具 / 部署 / 环境管理时使用。覆盖 Vite / Turbopack / Webpack / Rspack / Vercel / Cloudflare Pages / Netlify / Docker。融合多环境配置 + CDN + Preview / Production 部署 + 回滚。
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Use when setting up deployment infrastructure for any project - establishes multi-gate deploy pipeline with test gates, build verification, frontend safety checks, and rollback strategy before code reaches production
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Use when starting any new project from scratch. Asks for project identity (name, GitHub org, Cloudflare account), detects project type, sets up design system, staging+production, i18n from day 1, SEO foundation, AGENTS.md manifest, test infrastructure, 8-gate deploy pipeline, and disciplined development workflows. Prevents wrong deploys, redundant repos, and technical debt from day 0.
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Bootstrap any new project: identity, design system, staging+production, i18n, SEO, test infrastructure, 8-gate deploy pipeline. Prevents tech debt from day 0.
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Start the CM Workflow to execute your objective from idea to production code.
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Implement production changes with or without new test coverage.
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Use Kiln to create eval datasets, rate outputs, optimize prompts and models, and ship the same AI task or agent definition from a local workbench into production code.
日本語の概要は準備中です。原文の説明を表示しています。