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Expert ISO 27001 compliance assistant for security and compliance teams. Use this skill whenever a user asks about ISO 27001 or ISO/IEC 27001, including any of the following: gap analysis, auditing, compliance assessments, control checklists, policy writing, document generation, Statement of Applicability (SoA), risk assessment, risk registers, risk treatment plans, Annex A controls, ISMS implementation, clause requirements, certification readiness, transitioning from 2013 to 2022, control implementation guidance, incident response policies, access control policies, supplier security, or any information security management system (ISMS) topic. Trigger even if the user doesn't say "skill" — any ISO 27001 or ISMS question should use this skill.

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 Terraform HCL code following HashiCorp's official style conventions and best practices. Use when writing, reviewing, or generating Terraform configurations.

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。

Transform monolithic Terraform configurations into reusable, maintainable modules following HashiCorp's module design principles and community 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。

Claude Code agent generation system that creates custom agents and sub-agents with enhanced YAML frontmatter, tool access patterns, and MCP integration support following proven production patterns

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 ISO 27001 compliance assistant for security and compliance teams. Use this skill whenever a user asks about ISO 27001 or ISO/IEC 27001, including any of the following: gap analysis, auditing, compliance assessments, control checklists, policy writing, document generation, Statement of Applicability (SoA), risk assessment, risk registers, risk treatment plans, Annex A controls, ISMS implementation, clause requirements, certification readiness, transitioning from 2013 to 2022, control implementation guidance, incident response policies, access control policies, supplier security, or any information security management system (ISMS) topic. Trigger even if the user doesn't say "skill" — any ISO 27001 or ISMS question should use this skill.

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。

Outside counsel guidelines (OCGs) — drafting, review, gap analysis, and targeted updates for in-house legal teams. Build new OCGs calibrated to maturity level (light, standard, comprehensive), review existing OCGs against 15-component best practice framework, add or update specific sections (AI policy, AFA terms, D&I, rate review), and produce GC briefing notes for internal buy-in. Trigger on: 'draft billing guidelines', 'outside counsel guidelines', 'OCG', 'billing expectations', 'review our guidelines', 'update the AI clause', 'what should our billing guidelines cover', 'we don't have billing guidelines', 'firms aren't following our guidelines', 'rate review terms', 'GC briefing on billing guidelines', 'AFA policy', 'block billing', 'prohibited fees', 'staffing expectations for outside counsel'.

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。

Analyze any OFAC or OFSI enforcement action — by URL, pasted text, or uploaded document — and produce a structured root cause analysis as a formatted Excel (.xlsx) spreadsheet. Use this skill whenever a user names, links to, pastes, or uploads an OFAC or OFSI enforcement action and asks for any of the following: root cause analysis, compliance gaps, what went wrong, lessons learned, organizational self-assessment, or remediation planning. Also trigger when a user asks "analyze this enforcement action", "what were the root causes", "turn this into a checklist", or "how do I make sure this doesn't happen to us". Outputs a single-sheet .xlsx table with six columns: Root Cause | What Went Wrong | How It Went Wrong | What Could Have Stopped It | Is my organization immune to this? (Yes/No/Partial) | Notes.

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 soft glare sweeps across a card following the cursor on hover — a premium, tactile sheen. Keep it subtle; a few hero cards, not a grid. Disabled on touch and under prefers-reduced-motion.

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。

Scaffold an emergent project from observed children's interests using Reggio-inspired approaches. Use when following children's fascinations into deeper inquiry in early years or primary settings.

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 patterns for 2D/3D camera control including smooth following (lerp, position_smoothing), camera shake (trauma system), screen shake with frequency parameters, deadzone/drag for platformers, look-ahead prediction, and camera transitions. Use for player cameras, cinematic sequences, or multi-camera systems. Trigger keywords: Camera2D, Camera3D, SpringArm3D, position_smoothing, camera_shake, trauma_system, look_ahead, drag_margin, camera_limits, camera_transition.

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。

Create new China-specific financial skills following the established patterns and conventions. Use this meta-skill to scaffold new china-* skills that integrate with iFind MCP (Tier-1) and AkShare MCP (Tier-2 fallback), follow CAS accounting standards, and adapt workflows for the Chinese market. Triggers on "创建中国skill", "新建A股skill", "create china skill", "new china-skill", "制作skill", or when creating any new china-* skill.

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 Baidu ERNIE-Image / ERNIE-Image-Turbo workflows, primarily TEXT-TO-IMAGE. Pick ERNIE when you need precise multilingual text rendering, posters/signage, manga/anime multi-panel layouts, or strong instruction following for complex multi-object scenes. Also supports denoise-based image-to-image refine (NOT instruction-grounded editing; use Qwen-Image-Edit or Flux Kontext for "change X in this photo" edits).

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。

15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.

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。

Provides R wrappers of several on-target and off-target scoring methods for CRISPR guide RNAs (gRNAs). The following nucleases are supported: SpCas9, AsCas12a, enAsCas12a, and RfxCas13d (CasRx). The available on-target cutting efficiency scoring methods are RuleSet1, Azimuth, DeepHF, DeepCpf1, enPAM+GB, and CRISPRscan. Both the CFD and MIT scoring methods are available for off-target specificity prediction. The package also provides a Lindel-derived score to predict the probability of a gRNA to

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。

Analyzes your Claude Code conversation history to identify patterns, common mistakes, and opportunities for workflow improvement. Use when user wants to understand usage patterns, optimize workflow, identify automation opportunities, or check if they're following 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。

Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for single-cell 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。

Creates evidence-based documentation following DIVIO/Diataxis principles. Use when writing tutorials, how-to guides, reference docs, or explanations.

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。

Inserts stable test ids into production components for each selector gap named by a test plan, following the per-framework insertion policy and never renaming existing ids. Use when a test plan or page object lists selector gaps that block E2E 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。

Write PHP following PSR coding standards, SOLID principles, and code-quality guidelines. Use for PHP style, design, refactoring, naming, and guard clauses—not Composer/PSR-4 project configuration.

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。

Core idioms, style guides, and best practices for writing idiomatic Go code. Use when writing Go code following official style guides and idiomatic patterns.

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 effective code comments, READMEs, and technical documentation following intent-first principles. Use when adding comments, writing docstrings, creating READMEs, or updating any documentation.

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。

Migrate an Android XML View to Jetpack Compose following a structured 10-step workflow. Use when converting XML layouts to Compose, setting up Compose in an existing View-based project, or incrementally adopting Compose.

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 comprehensive PR descriptions following repository templates

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。

IR playbook execution, evidence collection, forensic timeline analysis, memory forensics, and post-incident reporting following NIST SP 800-61 and SANS PICERL methodology

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。