「lia」の検索結果

Reviews pull requests with scope validation, requirements compliance, and line comments. Use when reviewing GitHub or GitLab 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。

Assesses architecture decisions, ADR compliance, and coupling. Use when evaluating design changes or validating structural decisions before merging.

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。

Applies NASA Power of 10 rules for safety-critical verifiable code. Use when auditing financial, medical, or high-reliability system code.

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。

Evaluates test suites for coverage gaps, TDD/BDD compliance, and anti-patterns. Use when auditing test quality or before a major release.

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。

Classifies and enforces constraints via soft vows, hard vows, and Nen Court layers. Use when designing or auditing enforcement mechanisms for project 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。

Audits changes for additive bias and Iron Law compliance. Use when reviewing completed work before merging or after AI-assisted implementation.

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。

Evaluate hook security, performance, and SDK compliance. Use for 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 designing a study that benchmarks AI systems against a human-expert panel, before data collection. Plans the arms, decoupled rubrics with anchors, planted calibration probes, reviewer panel, inter-rater reliability targets and LLM-as-judge versus human adjudication.

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。

Tạo AI Skill mới từ ý tưởng hoặc quy trình công việc. Kết hợp phỏng vấn thông minh, pattern detection, và quantitative evaluation để tạo skill chất lượng production. Dùng khi user nói "tạo skill", "biến quy trình thành skill", "make a new skill", "tự động hóa công việc này", hoặc mô tả quy trình lặp lại mà họ muốn AI tự làm. Cũng dùng khi user muốn cải thiện, test, hoặc optimize skill hiện có.

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。

Swift Concurrency review and remediation for Swift 6.2+. Use when asked to review Swift Concurrency usage, improve concurrency compliance, or fix Swift concurrency compiler errors in a feature or file.

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。

Drive msfconsole across the workflow - DB-backed recon (db_nmap, auxiliary scanners), version->exploit search/check/run, multi/handler reverse shells (meterpreter-first, plain shell_reverse_tcp backup for Windows/EDR), sessions + local_exploit_suggester + post modules, and autoroute/portfwd/socks pivoting. Points to the metasploit cheatsheet for syntax. Use for "metasploit", "msfconsole", "msfvenom", "meterpreter", "multi/handler", or driving an exploit/reverse-shell through msf.

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。

Validate, lint, audit, or check Terragrunt .hcl/terragrunt.hcl files, stacks, modules, compliance.

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。

Position an AI product when everyone claims AI and skeptics call it "just a wrapper." Find the real wedge (data, workflow, trust, domain), make reliability the differentiator, answer "won't the big labs just build this," and stop leading with "AI-powered." Use when your AI or dev tool blends into a sea of similar demos, buyers doubt the accuracy, or you can't say why you win when the model is a commodity.

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。

Liminal space and Backrooms art direction for Blender with empty transitional architecture, wrong familiarity, and endless repetition.

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。

Vegetation and foliage authoring for Blender including trees, plants, grass cards, canopy LODs, and game-friendly leaf atlases via MCP.

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。

This skill should be used when the user asks about "pantsing", "discovery write", "write without an outline", "discovery draft", "write into the dark", "story kernel", "reconcile a chapter", "dead end", "drafting sprint", "writing cadence", or wants to draft a story by discovery with retrospective bible reconciliation. NOT for outline-first drafting, or mysteries and other clue-dependent genres where setup must come before payoff (use chapter-writing), or a reverse outline of an existing linear draft, a subplot cut, or another revision pass on existing chapters (use revision-continuity).

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。

Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability.

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, audit, and improve analytics tracking systems that produce reliable, decision-ready 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。

Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.

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。

Conduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.

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 summarizing agent evaluations where autonomous, assisted, failed, timed-out, or invalid outcomes must remain distinct and comparable.

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。

Autonomous DevSecOps & FinOps Guardrails. Orchestrates Gemini 3 Flash to audit Linux Kernel patches, Terraform cost drifts, and K8s compliance.

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。

Advogado criminalista especializado em Maria da Penha, violencia domestica, feminicidio, direito penal brasileiro, medidas protetivas, inquerito policial e acao penal.

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。

Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.

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。