French language expert for grammar, pronunciation, conversation, and cultural fluency
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。
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French language expert for grammar, pronunciation, conversation, and cultural fluency
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。
Saves learning notes from the current conversation. Classic mode makes concise notes, Mastery mode keeps detailed training artifacts.
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。
Manage and resolve [Intercom](https://composio.dev/toolkits/intercom) conversations — triage, reply, snooze, or close
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。
Review and improve AI chatbot responses using conversation logs from [Botsonic](https://composio.dev/toolkits/botsonic), [Docsbot](https://composio.dev/toolkits/docsbot-ai), or [Landbot](https://composio.dev/toolkits/landbot)
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。
Handle WhatsApp customer support conversations via [Wati](https://composio.dev/toolkits/wati) or [Whautomate](https://composio.dev/toolkits/whautomate)
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。
Activate a persistent visible-reasoning mode that requires detailed internalcot CLI notes before substantive tools and answers, throughout the conversation. Use only when the user explicitly invokes $internalcot, says "internalcot on", or asks to enable internalcot mode. Keep it active until the user explicitly turns it off. Do not trigger merely because a user asks to think carefully, reason deeply, or show work.
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。
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
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。
Add, edit, or audit guidance docs. Default writes guidance for Claude (.claude/guidance/, Markdown, moflo universal rules). -h writes for human readers (docs/, lighter ruleset). --html emits HTML with a minimal default stylesheet instead of Markdown. -a audits the .claude/guidance/ directory.
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。
Qualitative quality review of game design documents — answers "is this design good, and does it follow best practices?" — across all three GDD axes: systems, flows, and content types. Fans out adversarial lenses (completeness, clarity, pillar alignment, systems-math, fantasy-delivery, feasibility, scope) plus domain lenses that check it against the game-design rules, each prompted to find problems rather than validate; produces a severity-graded verdict and a two-bucket report (apply-ready fixes vs research), handed to /unikit-gd-apply or /unikit-gd-explore in one move. Scope is inferred: a named system, flow, or content type reviews that document; "all" runs a cross-document review. Use when the user wants a critique, quality judgment, or rules check of the design, e.g. "review the combat GDD", "review the onboarding flow". This is the subjective quality pass — for a mechanical consistency check (numbers, terms, IDs, references matching the registry) use /unikit-gd-verify.
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。
ครูสอนภาษาต่างประเทศ (Eng/Chi/Jpn/Kor) — ประเมิน CEFR + lesson plan + conversation practice + error correction + คำศัพท์เป็น chunk
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。
Good-faith adversarial scrutiny of an idea or plan. Spawns critical skeptics across relevant lenses, pairs them with an advocate defending the idea, and synthesizes the exchange into a report. Produces feedback only — no code, no tickets, no artifacts.
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。
Adversarial deliberation process for making decisions. Spawns advocate agents for each option who argue their cases before a judge (you) who renders a verdict.
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。
Prospective failure imagination for a plan, decision, or running system. Operates in two modes — **plan mode** (a plan has not yet been committed to; imagine its catastrophic failure broadly) and **scenario mode** (a specific catastrophic scenario is posed against an existing system; investigate causes against the actual code and architecture). Spawns parallel pre-mortemers in isolation across three categories of lens: standard failure classes (technical, operational, estimation, scope, adoption, dependency, team, incentive, detection, reversibility, adversarial), 0-3 ad-hoc target-specific lenses the orchestrator names when warranted, and a first-principles lens that always runs to catch what the prescribed taxonomy misses. Synthesizes into a prioritized risk register with early-warning signals. Produces feedback only — no code, no tickets, no artifacts.
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。
Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says "just do it".
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。
Design and build cohesive web pages with custom visual identity — landing pages and portfolios get rich anatomy + section archetypes; any other page type (blog, about, pricing, contact, coming-soon, dashboard, admin, e-commerce, custom) is supported through generic anatomy + skeleton. Use this skill whenever the user mentions: landing page, portfolio, personal site, hero section, marketing page, product page, sales page, splash page, blog page, about page, pricing page, contact page, coming-soon, waitlist, dashboard, admin panel, e-commerce store, redesign my site, design my portfolio, build a portfolio, work showcase, hire-me page, perfect-ui, perfect landing, or asks to create any web page surface. Two tiers: special (landing | portfolio — rich treatment) and generic (everything else — universal craft toolkit). Self-contained 8-phase pipeline: vibe discovery → visual direction (color/typography/mood) → custom icon set (NO emoji, NO icon library) → AI-generated visuals → optional shader effects layer → inline plan + implement on Next.js + Tailwind + shadcn. Always proposes effect layer as optional. No refusals; outputs distinctive sites, not AI slop.
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。
Universal project bootstrapper: CREATE new or TRANSFORM existing project to production-ready structure
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。
Universal platform artifact cleaner: Replit, StackBlitz, CodeSandbox, Glitch
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。
Universal seed data generator: MIGRATE from ORM schemas or GENERATE from entity definitions to any target format
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。
Universal skill reviewer: SKILL mode (D1-D9 + M1-M5) or COMMAND mode (skill review)
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。
Manages custom Agent resources on Gemini Enterprise Agent Platform. Use when the user wants to programmatically create, configure, list, update, or delete stateful, server-managed Agent resources (including mounting files, skills, and tools) before executing conversations.
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。
Guides the usage of Gemini Interactions API on Gemini Enterprise Agent Platform. Use when the user wants to use the stateful, server-managed Interactions API for multi-turn conversations, background execution, streaming, structured output, and function calling on the Agent Platform.
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。
Adversarially verifies DATA_MODEL.md property rows against cited Source files. Use after data-model-documenter when DATA_MODEL.md changed — inventories each property in added/changed catalog sections and classifies VERIFIED / REFUTED / UNVERIFIABLE. Triggers on "verify DATA_MODEL", "check catalog against source", "data model verification".
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。
Use when recording, tallying, or triaging stochastic review findings — the append-only JSONL ledger where Tier 2 (advisory, unevidenced) reviewer output goes instead of blocking language. Triggers on "log this finding", "ledger add", "tally the findings", "triage findings", "is this finding recurring", "retire this noise", or whenever a reviewer produces an unevidenced concern that should be measured for recurrence rather than chased. For the review itself see code-review-and-quality or skill-library-review; for verifying formal claims with deterministic evidence see adversarial-claims-reviewer.
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。
Use when writing, reviewing, or architecting Rust code — systems programming, async services, CLI tooling, web backends, or any work in `.rs` files. Triggers on editing `.rs` or `Cargo.toml` files, or mentions of "Rust", "Tokio", "Axum", "cargo", "borrow checker", "lifetime", "trait object", "async Rust", "crate", "rustc", or explicit requests to "build this in Rust" / "rewrite X in Rust". For adversarial security review of Rust code see security-reviewer.
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。