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cccskills

「deep」の検索結果

2,359 件 ・ 関連度順

概要と使いどころ

Create, track and update team goals via the Deeplake virtual filesystem at memory/goal/. Use whenever the user mentions a goal, objective, target, milestone, or asks to track progress on something measurable. ALSO use when the user says "task", "todo", "work item", "remind me to", "fix X", or any actionable work item — the goal system replaced the legacy `hivemind tasks` CLI and now covers both objectives and tasks.

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。

activeloopai/hivemind1,6262026年10月15日 更新

Builds an Azure portal deep link to a specific blade/menu item for supported Microsoft.ContainerService, Microsoft.Kubernetes, and Microsoft.Compute resources using the aks-search-direct-mid semantic search API. WHEN: 'find where in the Azure portal to do something', 'search the portal for an operation', 'construct a portal link from a search query and a resource'.

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。

microsoft/azure-skills1,5712026年10月14日 更新

Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.

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。

microsoft/azure-skills1,5712026年10月14日 更新

PR code review that surfaces decay risks, design smells, and maintainability issues with concrete Symptom → Source → Consequence → Remedy findings, drawing on twelve classic engineering books. Triggers when: user asks to review code, check a PR, shares a diff or pastes code asking "does this look right?" / "any issues here?" / "ready to merge?", or asks for feedback on a function, class, or file. Also triggers when user mentions: code smells / refactoring / clean architecture / DDD / SOLID principles / Hyrum's Law / deep modules / tactical programming / conceptual integrity / Brooks's Law / Mythical Man-Month / second system effect. Do NOT trigger for: questions about how to write code from scratch, language syntax questions, or framework/tool questions where no existing code is shared.

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。

hyhmrright/brooks-lint1,5272026年10月12日 更新

Guided, conversational walkthrough that explains code, UI, UX, features, or .copilot-tracking artifacts with navigable evidence links, a deep review before explaining, and a reconciled decisions-and-changes ledger. Use when the user wants to understand how something works or why it was changed.

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。

microsoft/hve-core1,5252026年10月14日 更新

Design Thinking method coaching knowledge across all nine methods including per-method techniques, deep expertise, and industry context (energy, financial services, healthcare, manufacturing, nonprofit and social impact, pharmaceuticals and life sciences, professional services, public sector, retail and CPG)

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。

microsoft/hve-core1,5252026年10月14日 更新

Attribute GPU time in one sglang-omni stage to specific lines of `sglang_omni/` python source. Drives the `llm-torch-profiler-analysis` backend with a mapping/formal trace pair plus steady-state gates, and carries the rules for reading its three tables on an omni stage. Use when a stage is slower than expected and the question is which python code is the bottleneck, not which kernel is hot.

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。

sgl-project/sglang-omni1,5062026年10月15日 更新

Answer questions using the Arkon knowledge base. Searches wiki first, drills into raw sources only when needed. Supports quick, standard, and deep modes. Triggers on: what do we know about, find in KB, look up, query:, arkon query, search the wiki, tell me about, based on the KB.

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。

nduckmink/arkon1,4932026年6月4日 更新

architect

無料

Run /architect when choosing between approaches, designing a feature or page, picking a tech stack, or when /develop says a decision is owed, anytime a load bearing technical decision is unmade. Asks deep questions, recommends an answer, and writes a build spec to docs/specs/. Owns all spec files.

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。

jsmastery-pro/skills1,4872026年8月10日 更新

Runs adversarial due-diligence on a benchmark the user envies — a founder, KOL, company, or product whose success looks inflated — splitting marketing bubble from real signal, then mapping the validated playbook onto the user's own resources. Use for 尽调/对标/拆解 a competitor, 抄/偷师 their playbook, or suspecting 水分/泡沫 in claims. Prefer over deep-research when debunking inflated claims, not a neutral briefing.

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。

daymade/claude-code-skills1,4642026年10月14日 更新

Gated checklist to choose or review a library, framework, storage, data format, model, build-vs-buy or architecture. Run favorites-search before external research when installed. Compare candidates and trade-offs; select within authorization or return user-owned choices. Use for 用哪个 / 选什么框架 / 要不要自建 / A 还是 B / 这个方案行不行 and before committing to one. Research reports → deep-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。

daymade/claude-code-skills1,4642026年10月14日 更新

Sets up and maintains isolated Claude Code CLI profiles to run Kimi, MiniMax, DeepSeek, GLM, StepFun or Anthropic in separate terminal windows. Use for multi-provider setup, switching models, csk/csd/csg aliases, CLAUDE_CONFIG_DIR, or ~/.claude-profiles. Owns profile-drift troubleshooting (missing skills/hooks, symlink drift, settings drift) and context-window setup ([1m] marker vs CLAUDE_CODE_MAX_CONTEXT_TOKENS).

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。

daymade/claude-code-skills1,4642026年10月14日 更新

Creates reusable, source-traced research reports and coordinates provider/mode lanes with original exports. Use for 深度研究, 调研报告, literature reviews, market or company research, and ChatGPT/Kimi/UniFuncs research routes. Technology choice uses tech-selection; competitor code uses competitors-analysis.

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。

daymade/claude-code-skills1,4642026年10月14日 更新

Clones and audits competitor repositories into evidence-based intelligence with file:line citations. Use to track competitors, add a competitor repo, review competitor code, compare capabilities, build a competitor landscape, or check for code updates: 竞品分析 / 竞品 / competitor scan / analyze competitor / compare with X / latest competitor code. Not for market research without code (use deep-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。

daymade/claude-code-skills1,4642026年10月14日 更新

Monitor competitor signals and surface strategic implications for your roadmap. Use when asked to monitor competitors, track the competitive landscape, produce a competitive briefing, or understand what has changed in the market this week or month. Produces a structured intelligence brief with high/medium/low priority signals, roadmap implications, and a strategic landscape summary. For a single competitor announcement use competitor-signal-tracker; for a one-off deep dive use competitor-teardown.

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。

mohitagw15856/pm-claude-skills1,4582026年10月14日 更新

Use when asked 帮我准备大厂技术面试, 八股文怎么背, 模拟一面二面, 系统设计面试题, 项目深挖怎么答, 手撕算法, or run a mock technical interview for a Chinese internet company. Produces a preparation plan for the interview rounds Chinese tech companies run (笔试, 技术一面二面, 交叉面, HR 面), a 八股 question bank by stack with answer points, a system design walkthrough, a project deep-dive script, and a mock round asked one question at a time with follow-ups (追问) and scores.

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。

mohitagw15856/pm-claude-skills1,4582026年10月14日 更新

Provides checklist for reviewing Typer CLI command implementations. Covers structure, Annotated syntax, error handling, exit codes, display module usage, destructive action patterns, and help text conventions. Use when user asks to review/check/verify a CLI command, wants feedback on implementation, or asks if a command follows best practices.

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。

https-deeplearning-ai/sc-agent-skills-files1,4152026年6月9日 更新

Generate pytest tests for Typer CLI commands. Includes fixtures (temp_storage, sample_data), CliRunner patterns, confirmation handling (y/n/--force), and edge case coverage. Use when user asks to "write tests for", "test my CLI", "add test coverage", or any CLI + test request.

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。

https-deeplearning-ai/sc-agent-skills-files1,4152026年6月9日 更新

Provides Typer templates, handles registration, and ensures consistency. ALWAYS use this skill when adding or modifying CLI commands. Use when user requests to add/create/implement/build/write a new command (e.g., "add edit command", "create search feature") OR update/modify/change/edit an existing command.

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。

https-deeplearning-ai/sc-agent-skills-files1,4152026年6月9日 更新

Analyze weekly marketing campaign performance data across channels. Use when analyzing multi-channel digital marketing data to calculate funnel metrics (CTR, CVR) and compare to benchmarks, compute cost and revenue efficiency metrics (ROAS, CPA, Net Profit), or get budget reallocation recommendations based on performance rules.

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。

https-deeplearning-ai/sc-agent-skills-files1,4152026年6月9日 更新

CraftedWell brand guidelines for presentations and documents. Use this skill whenever creating or styling documents (docx, pdf) or presentations (pptx) for CraftedWell. Apply warm, artisanal aesthetic with chocolate/caramel color palette, Georgia headings, and Arial body text.

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。

https-deeplearning-ai/sc-agent-skills-files1,4152026年6月9日 更新

Comprehensive diagnostic analysis of time series data. Use when users provide CSV time series data and want to understand its characteristics before forecasting - stationarity, seasonality, trend, forecastability, and transform recommendations.

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。

https-deeplearning-ai/sc-agent-skills-files1,4152026年6月9日 更新

Generate educational practice questions from lecture notes to test student understanding. Use when users request practice questions, exam preparation materials, study guides, or assessment items based on lecture content.

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。

https-deeplearning-ai/sc-agent-skills-files1,4152026年6月9日 更新

Create learning paths for programming tools, and define what information should be researched to create learning guides. Use when user asks to learn, understand, or get started with any programming tool, library, or framework.

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。

https-deeplearning-ai/sc-agent-skills-files1,4152026年6月9日 更新