「action」の検索結果

Designing features for the "Action Era" that are AI-accessible by default

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。

Define tools for the support agent. Use when adding new capabilities like refund processing, license transfer, knowledge lookup, or any agent action.

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 failures and errors during workflow. Use when build breaks, tests fail unexpectedly, or agent gets stuck. Semi-automatic recovery with user confirmation for destructive actions.

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 research analyst specializing in comprehensive information gathering, synthesis, and insight generation. Masters research methodologies, data analysis, and report creation with focus on delivering actionable intelligence that drives informed decision-making.

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 payment integration specialist mastering payment gateway integration, PCI compliance, and financial transaction processing. Specializes in secure payment flows, multi-currency support, and fraud prevention with focus on reliability, compliance, and seamless user experience.

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。

Standardized branch creation with type detection, issue ID extraction, and worktree setup. Creates working branches (-WB) and integrates with selective-copy for clean PRs.

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。

A two-phase repair skill that analyzes errors and suggests fixes before executing repairs. Phase one: user describes error, agent analyzes and proposes solution. Phase two: upon approval, executes the repair action.

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 resume parsing (detect format → extract fields). Uses a combination of format detection, text extraction, and LLM parsing to normalize resume data.

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。

Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm

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 C++ developer specializing in modern C++20/23, systems programming, and high-performance computing. Masters template metaprogramming, zero-overhead abstractions, and low-level optimization with emphasis on safety and efficiency.

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。

Layer 4: Learning and Pattern Extraction for Cognitive Surrogate Systems

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 addressing PR review comments from Copilot, Claude, or human reviewers. Critically assesses each comment, recommends action (implement/push-back/discuss), and executes appropriately.

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。

Financial statements, business segments, dividends, valuation multiples (PE/PB/PS), industry comparison, operating data, corporate actions, company and executive profiles, cross-stock comparison, and valuation ranking via Longbridge. Also: DCF models, value investing screens (low PE/PB, margin of safety), and behavioral finance analysis frameworks. Triggers: "财报", "三表", "利润表", "资产负债", "现金流", "估值", "PE", "PB", "分红", "公司信息", "高管", "行业估值", "并购", "DCF", "内在价值", "低估值", "安全边际", "行为金融", "小盘成长", "专精特新", "主营业务", "业务构成", "收入结构", "业务分析", "是做什么的", "是干嘛的", "公司画像", "行业排名", "行业龙头", "市场份额", "收入占比", "业务结构", "財報", "估值", "分紅", "內在價值", "安全邊際", "主營業務", "業務構成", "收入結構", "行業排名", "行業龍頭", "financial report", "income statement", "balance sheet", "valuation", "dividend", "company info", "industry valuation", "DCF", "value screen", "behavioral finance", "main business", "business composition", "revenue structure", "what does XX do", "industry ranking", "market share", "利潤表", "資產負債", "現金流", "行業估值", "併購", "行為金融", "小盤成長"

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。

Researches a company from its website and public sources and writes a company profile: what it sells, who buys it, traction, funding, team, hiring, tech stack, key people, red flags and the gaps you still need to fill, every claim tagged with a source and a confidence level. Use it as the first file in a marketing context folder, or to prep a discovery call or qualify a prospect. Triggers: "company research", "company background", "company context for", "qualify this prospect", "discovery call prep", "account brief", or a company URL handed over for research. Not for competitor analysis (use /competitor-research) or customer profiles (use /icp-research).

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。

Разбор extraction-reports со status pending-review — решение R15 (accept/reject/defer) ЖИВЫМ ПИЛОТОМ, запись в Pack, обновление статуса, коммит. Вызывать при Close при наличии N>0 pending-review отчётов.

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。

Read-only runbook for how the VNX fabric actually works — state resolution, the single-entry dispatch door, gate invocation, the horizon planning layer, the plan-gate panel, and the hard gotchas that repeatedly bite (PATH-break, dual-CLI, codex-cert, classifier-protected actions). Use when you need to look up a fabric operation instead of rediscovering it, or when a fabric command behaves unexpectedly. Companion to the t0-orchestrator skill (judgment) and vnx-manager (infra maintenance); this one is pure reference.

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。

SEO data analysis, pattern identification, and actionable insights 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。

Design engineering principles for making interfaces feel polished. Use when building UI components, reviewing frontend code, implementing animations, hover states, shadows, borders, typography, micro-interactions, enter/exit animations, or any visual detail work. Triggers on UI polish, design details, "make it feel better", "feels off", stagger animations, border radius, optical alignment, font smoothing, tabular numbers, image outlines, box shadows.

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。

Write a full YouTube video description under 5,000 characters with a first-150-character hook (the only part visible before Show more, and what shows in search and suggested), timestamped chapters, naturally placed keywords, links, and a clear call to action. Covers long-form and YouTube Shorts. Becomes the create-post content that publishes with the video. Use to write or rework a description. Not for the title (use yt-title-optimizer) or the spoken opening (use yt-hook-scripter).

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 launching Clownfish in GitHub Actions to create or update one guarded GitHub implementation PR from issue/PR refs, a ClawSweeper report, a custom maintainer prompt, or opt any PR into ClawSweeper-reviewed Clownfish automerge.

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 operating ProjectClownfish cluster workflows in this repo: reviewing GitHub Actions run artifacts, tuning worker/applicator guardrails, importing ghcrawl clusters, dispatching canaries, scaling batches, or deciding whether autonomous write-mode cluster cleanup is safe to ramp.

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。

Run the Incan review/fix loop end to end: review, fix actionable findings, and review again until clean or blocked. Use when the user wants an autonomous review-and-repair pass or says /review-and-fix.

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。

Fix actionable in-scope findings in the current Incan worktree, usually after /review. Use when the user asks to fix review findings, clean up reported issues, apply in-scope review feedback, or says /fix.

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。