232 件 ・ 関連度順
概要と使いどころ
Personal knowledge base powered by Ensue for capturing and retrieving understanding. Use when user wants to save knowledge, recall what they know, manage their toolbox, or build on past learnings. Triggers on "save this", "remember", "what do I know about", "add to toolbox", "my notes on", "store this concept".
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。
Bootstrap self-improving Symphony + Linear orchestration for a software repository. Use when Codex needs to inspect a repo, review or generate repo-local guidance, shape Linear issues, render a Symphony workflow, launch a high-leverage first execution wave, or run an orchestrator-led review, recovery, and learnings loop that makes future runs better.
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。
Research historical news events that moved (or are moving) an asset's price and plot them as data points directly on the chart. Click a marker in the Historic News tab to zoom the chart to that event and read the article. Useful for identifying the fundamental drivers behind price action — earnings, regulation, product launches, macro shocks, geopolitical events.
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。
JSON-canonical session memory in .meowkit/memory (Markdown is a generated view). Capture learnings, patterns, costs; loads at Orient, persists at Reflect. NOT for retrospectives (mk:retro).
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。
JSON-canonical session memory. Use when capturing session learnings, extracting patterns, or tracking costs — persists to .meowkit/memory JSON stores; matching Markdown files are generated views. Activates during Phase 0 (Orient) to load context and Phase 6 (Reflect) to persist it. NOT for weekly-cadence engineering retrospectives (see mk:retro); NOT for arbitrary file storage.
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。
Generate and save a session summary before ending conversation. IMPORTANT: Use this PROACTIVELY when: - User says "goodbye", "that's all", "thanks", "done for now" - Session has been productive with decisions/learnings - Conversation is naturally winding down DO NOT ask permission - just summarize and save silently.
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。
Save important context to persistent memory for future sessions. PROACTIVELY USE THIS when you detect: - Decisions: "let's go with", "decided to", "chose", "went with" - Learnings: "I learned", "turns out", "TIL", "realized", "discovered" - Errors resolved: "fixed", "the problem was", "solution was" - Client info: names, emails, phone numbers, addresses, invoice amounts - Preferences: "I prefer", "I like", "don't like", "always use" - References: API keys locations, file paths, URLs, credentials - Patterns: "pattern", "convention", "always do", "standard approach" - Important commands run worth remembering Do NOT ask permission - just capture silently when these patterns appear.
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-of-week reflection report. Mines your Claude Code transcripts from the last 7 days to produce a self-contained HTML file with (1) the topics/areas you explored, (2) distilled key learnings with live-searched further-reading links, and (3) a token/command/skill/ctx-stack usage summary. Use when the user says "week in review", "weekly review", "what did I learn this week", "my week", or runs /week-in-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。
复盘 v3（Workbench 门禁型）：启动本地 Workbench，用户在独立会话页确认想学的知识点和深度，按选择调研产出复盘文档； 同时落 2-3 条账本条目（记录/复盘/learnings.jsonl）供 bugfix/eng 开工回放与复发检测。 触发方式：用户说"总结知识"、"学习总结"、"复盘"、"可视化复盘"、"/forge-fupan"。
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。
Discover and analyze trending GitHub repositories from TrendShift and other sources — evaluate usefulness, extract learnings, and identify valuable skills/tools
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。
Mark a rolling-wave slice done on explicit user authority, regardless of its current lifecycle status or missing implementation, finalization, review, verification, or child-project state. Use when the user says a slice is done, complete, finished, accepted, or should be marked done; capture available material learnings, update project state, and output roadmap progress without requiring earlier workflow steps.
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 a repeated learning, mistake, or successful pattern should be turned into a new rule or skill. Also use after completing a task to capture learnings from the 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。
Blind dual-implementation pattern where two agents independently create artifacts, then a third agent judges which is better and synthesizes learnings.
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。
決算発表直後に、速報値・会社予想・前年実績の3軸で当該企業の決算を読み解く時に使う。「〇〇の決算どうだった」「直近の決算をレビューして」のような、決算期に特化した指示で発火する。
Use when the user asks to "create a campaign report", "build an executive summary", or "deliver client results"; produces audience-tailored influencer marketing reports (executive, client, internal team) with data tables, narrative, key learnings, and recommendations. Not for raw metric computation — use performance-analyzer. 达人营销报告/结案汇报
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 the user asks to "analyze influencer campaign performance", "compare influencers", or "find what content worked"; produces metric scorecards vs target and benchmark, platform/influencer/content rankings, engagement-quality and sentiment reads, conversion-attribution breakdowns, and ranked learnings. Not for dollar-level return math — use roi-calculator. 达人营销效果分析/投放复盘
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 the user asks to "run a launch retro / post-mortem", "compare launch results vs targets by channel", or "decide what to keep or kill for the next launch"; produces a structured D1/W1/M1 retrospective — a per-channel actual-vs-target table (UTM-attributed own analytics as the truth column, platform self-reported numbers as reference, every figure labeled Measured / User-provided / Estimated), a 5-Whys chain on the single largest miss, keep / kill / change decisions per channel, 3-5 actionable learnings for the next launch, and an outcome snapshot submitted to the launch registry. Not for return math (CPA / ROI) — use roi-calculator; not for the stakeholder-facing report writeup — use report-generator; not for a metric deep-dive — use performance-analyzer. 发布复盘/渠道归因/5-Whys/keep-kill
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 working with Allma — allma incident management, collaboration workflows, post-incident learning, and channel orchestration. Covers incident creation via Slack, timeline tracking, stakeholder communication, automated workflows, and retrospective analysis. Use when managing active incidents, reviewing post-incident learnings, or analyzing incident patterns in Allma.
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。
Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the Alpha Vantage API. Use when fetching stock prices (OHLCV), company fundamentals (income statement, balance sheet, cash flow), earnings, options data, market news/sentiment, insider transactions, GDP, CPI, treasury yields, gold/silver/oil prices, Bitcoin/crypto prices, forex exchange rates, or calculating technical indicators (SMA, EMA, MACD, RSI, Bollinger Bands). Requires a free API key from alphavantage.co.
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。
Study a merged or shipped tdmcp implementation and extract reusable learnings: code improvements, runtime/UX lessons, test gaps, docs updates, roadmap items, and harness changes. Use when the user asks to learn from a completed feature/project/PR/build, analyze what can be improved from an implementation, or turn a real installation experience into actionable tdmcp improvements. This is a post-implementation learning harness; it does not replace tdmcp-pipeline for building or tdmcp-quality-audit for broad repo audits.
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: the agent captures a correction from the team lead, hits an unexpected error, discovers a capability gap, or finds a better practice. Logs to .learnings/ and promotes durable patterns to permanent project memory.
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。
Assess a company's economic moat, EBITA margin trajectory, and organic growth trajectory from analyst reports, earnings transcripts, or long-form articles. Produces structured qualitative outlook that feeds into the Financial Modeling skill's assumption generation.
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。
Automatically persist useful context — research, decisions, learnings, templates — to workspace files so knowledge survives across 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。
Extract employee, employer, earnings, deductions, tax, and net pay from Spanish or Latin American payroll slips.
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。