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概要と使いどころ
AI-powered diary generation for agents - creates rich, reflective journal entries (400-600 words) with Quote Hall of Fame, Curiosity Backlog, Decision Archaeology, and Relationship Evolution. Generates personal, emotional entries from the agent's perspective. Works best with Claude models (Haiku, Sonnet, Opus).
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。
Helps create, analyze, and maintain Architecture Decision Records
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。
Peer-сессия DP.SC.154 где Kimi = писатель, Claude = напарник. Запускается простой фразой. Включает ОРЗ Opening и Closing, turn-loop, эскалации, Decision Gate (зафиксировать vs реализовать → ревью → проверить → задеплоить), отложенную финализацию и верификацию.
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。
ADI-cycle structured reasoning (Abduction-Deduction-Induction-Audit-Decide). Use for complex decisions when multiple hypotheses need to be considered.
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。
Гейт создания любого нового репозитория IWE (экосистемного или личного пространства). Проводит запрос через: классификацию намерения (Pack / SpacePlan / именованный проект / экосистемный DS), проверку имени и класса, разметку данных (типы 2.1-2.4, карантин), объявление писатель/владелец/читатели, решение о публичности, обязательный Decision Gate (по умолчанию — одобрение пилота, для CI — ограниченное делегирование), затем исполнение (создание, регистрация, развёртывание скелета). Используй когда пилот хочет создать новый репозиторий, или спрашивает, куда и как разместить новый вид данных. Не для расширения существующего репозитория (→ Repo-Touch/Residency Gate) и не для Pack-репозиториев (делегируется `/pack-new`).
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。
Knowledge Extraction — captures and routes knowledge at work boundaries. Use when you discover a pattern, make a decision, find a distinction, or complete a sub-task.
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。
Многотуровый диалог писателя (Claude) с одним или несколькими напарниками (любой набор из kimi/codex/hermes/claude-headless) по задаче пилота (DP.SC.154). Ведёт turn-loop (2 участника) или round-loop (3+, WP-509), обнаруживает CONSENSUS/ESCALATE, после консенсуса — Decision Gate (зафиксировать vs реализовать → ревью → проверить → задеплоить), синтезирует report.md через Agent tool.
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。
Build structured ICP documentation by scraping case studies, testimonials, and solutions pages from your website. Produces firmographics, champion + economic buyer personas, pain points, decision criteria, anti-ICP, customer proof points, and voice-of-customer synthesis. Writes to marketing/icp/ICP.md as the canonical ICP every downstream skill reads. Triggers - "icp research", "ideal customer profile", "persona research", "customer segments", "who are our customers", "build ICP"
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。
End-to-end research workflow skill for investment analysts and policy researchers. Three scope modes the user picks at trigger time — light (4-5 page decision memo, ~15 min, 0 charts), medium (12-15 page topic brief, ~1 h, 6-10 charts), heavy (flagship report 30-40 pages / 15k+ words, ~2-3 h, 25-35+ charts, multi-stage workflow, multi-LLM, PDF + Word + WeChat + HTML derivations). Reports default to English; the AI replies in the user's chat language. Battle-tested on real macro/policy/equity reports (e.g. Saudi Vision 2030 deep-dive). Triggers when user types /analyst-research, /flagship-research, or describes needs like "research report", "topic analysis", "investment research", "做研报", "投研报告", "主题分析", "深度分析", "policy assessment", "industry deep-dive". Not for: pure news commentary (use topic-brief), slide decks (use deckster-slide-generator), one-shot Q&A.
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。
Git Context Controller (GCC) v2 — Lean agent memory backed by real git. Stores hash + intent + optional decision notes instead of verbose markdown. Auto-bridges to aiyoucli vector memory when available. Dual mode: git-backed (lean index.yaml) or standalone (markdown fallback). Triggers on /gcc commands or natural language like 'commit this progress', 'branch to try an alternative', 'merge results', 'recover context'.
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。
Master orchestration for the VNX multi-terminal system. Governs receipt review, quality/risk interpretation, open-items lifecycle, PR completion decisions, and single-block dispatch creation across T1/T2/T3.
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Use for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds. Discovers available MCPs and queries each evidence category (source control, issue tracker, long-form docs, real-time chat, infrastructure observability, error tracking, product analytics warehouse) in parallel, then returns a cited read on decisions and tradeoffs. Use how for runtime behavior.
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。
Comprehensive UI design guidance based on Refactoring UI principles covering design personality, color theory, layout strategy, visual hierarchy, typography, spacing, mobile-first responsive design, and writing copy that doesn't read like AI wrote it. Use this skill whenever the user is creating new pages, building components, making design additions or changes, reviewing UI code, asking about design decisions (colors, fonts, spacing, layout), writing or editing interface copy, or discussing visual improvements. Trigger for any design-related conversation including "how should this look", "what color", "font size", "spacing", "layout", "responsive", "mobile", "this copy", "headline", "button text", "microcopy", or when reviewing/critiquing existing interfaces.
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。
Search the company's enterprise knowledge index. Use this FIRST when starting any task that touches company-specific context - projects, people, policies, internal docs, prior decisions - before searching individual sources like Drive, Slack, or Jira directly. Also use it when the user asks "do we have a doc about X", "what's our policy on Y", or references internal initiatives by name. Always start from this skill when interacting with this service — its bundled scripts and recipes are the fastest path.
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Execute Anarlog work immediately while recording issues, decisions, progress, and lessons in Linear. Use for Anarlog repository or Anarlog desktop, web, mobile, and API work, including related worktrees and ANLG issues. Explicit brainstorming stays discussion-first. Do not use for unrelated repositories or meeting-data queries.
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Лёгкий советник «раздвигающий шторки» — premortem-сессия которая находит дыры в плане с разных углов, предлагает варианты решений по каждой и помогает юзеру быстро принять осознанные решения. История запусков сохраняется в ./docs/premortem/. Use when user types «премортем», «premortem», «найди дыры в плане», «посмотри со стороны на план», «what could kill this plan». Do NOT use for: vague ideas without a concrete plan; one-right-answer questions; creative editing of a draft; already-irreversible decisions.
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。
Maintain required external authorization decisions, gatekeeper and validator hooks, the HTTP JSON plugin, reusable parsers, and protected-request E2E coverage. Excludes credential authentication and claims enrichment.
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Maintain AuthCrunch logging skip rules, the reusable logging directive parser, immutable Zap filters, root server logger wiring, and TLS log-output tests. Excludes host-specific access-log configuration and changes to authentication decisions.
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Interview the user relentlessly about the task plan until reaching a shared understanding, resolving each branch of the question decision tree. Use when the user wants to stress-test a plan, get grilled on their plan, or mentions "grill me" or "grill plan".
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Evaluate alternatives through a weighted multi-criteria decision matrix. Use when the user calls for the *evaluation* of *alternatives*, wants to *compare* things, or asks what the best is from a list of choices.
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。
Builds, revises, restyles, and critiques deliberate, editable Feishu / Lark whiteboards from content, references, existing SVGs, or live boards. Use for whiteboards, infographics, diagrams, system maps, timelines, decision boards, posters, and visual explainers that need factual fidelity, strong hierarchy, intentional composition, and evidence-based review rather than a generic grid of equal cards. Routes creation, revision, and critique through separate playbooks; commits to a content-and-design contract before drawing; validates deterministic SVG defects; renders and inspects the actual artifact; and uses an independent final reviewer for material deliveries.
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。
Search your conversation history using ripgrep. Use when you need to find previous messages, file edits, tool calls, or decisions from earlier in the session.
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Use when the user says "review bugs", "/review-bugs", "pull new bugs", "what was reported in Bugs", "update the bug list", or asks for an auto-review of reported bugs. Pulls the new messages from the Voxt Bugs and Bugs (Mobile) chats, turns them into entries in docs/bugs.md, reconciles the list with GitHub issues, pull requests and dev commits, moves finished bugs to docs/bugs-closed.md, and lists what needs a human decision.
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。
Git-as-knowledge-graph workflow for traceability. Use when planning work, brainstorming designs, creating/managing issues and PRs, tracking architectural decisions, or resuming prior sessions. Slash command /shiplog.
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。