「rev」の検索結果

Plan days, prioritize tasks, and protect focus time with time blocking, weekly reviews, and energy-aware scheduling.

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 the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.

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。

AI legal document generation powered by CellCog. Contracts, NDAs, terms of service, privacy policies, freelance agreements, employment contracts, compliance reviews, legal research. Precision legal drafting from natural language prompts. Not legal advice.

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。

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

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。

Security audit engine for OpenClaw configurations. Detects vulnerabilities, misconfigurations, secret leaks, and over-privileged agents. Use when the user asks about security, hardening, config review, or audit of their OpenClaw setup.

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。

Reviews marketing content against FTC, HIPAA, GDPR, SEC 482, SEC Marketing, CCPA, COPPA, and CAN-SPAM — 208 specific laws with URLs.

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。

Legal contract analysis using CUAD dataset (41 risk categories). Supports NDA, SaaS, M&A, employment, payment/merchant, and finder/broker agreements. Identifies red flags, suggests redlines, compares to market standards.

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 a two-pass, multidisciplinary code audit led by a tie-breaker lead, combining security, performance, UX, DX, and edge-case analysis into one prioritized report with concrete fixes. Use when the user asks to audit code, perform a deep review, stress-test a codebase, or produce a risk-ranked remediation plan across backend, frontend, APIs, infra scripts, and product flows.

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。

Audit codebases, infrastructure, AND agentic AI systems for security issues. Covers traditional security (dependencies, secrets, OWASP web top 10, SSL/TLS, file permissions) PLUS agentic security (prompt injection scanning, identity spoofing detection, memory poisoning checks, multi-agent communication audit, OWASP Agentic Top 10). Use when scanning for vulnerabilities, detecting hardcoded secrets, reviewing agent workspace configuration, checking prompt injection vectors, or auditing agent permissions and boundaries.

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。

Complete B2B sales system — from ICP to closed-won. Discovery frameworks, objection handling, pipeline management, forecasting, and deal acceleration. Works for any B2B company.

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。

Mechanism conflict detection and coordination for AI assistant systems. Automatically detects crontab conflicts, systemd service conflicts, script overlaps, and log path inconsistencies. Use for maintaining system harmony and preventing internal conflicts.

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。

Maxim 3D CGI product render — engineered for purchase confidence and premium positioning. Uses Material Realism + Endowment Effect + Photorealism Trust Signals to move premium-product viewers toward purchase. Use for luxury product reveals, architectural visualization, tech hardware marketing, high-ticket commerce.

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。

86 peer-reviewed behavioral frameworks applied to every Maxim output. The flagship moat.

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。

Security review and threat work — threat modeling, vulnerability assessment, penetration test, incident response, OWASP Top 10, LLM Top 10, API Top 10, CVE triage, STRIDE, NIST CSF, SBOM. Auto-loops on any task touching PII, auth, payments or regulated 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。

Tear down a company on request — "do a teardown of", "break down this company", "analyze this competitor's business". Fixed-template output: business model, how they make money, positioning, and where they are exposed.

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。

Founder and CEO automation — morning standup, overnight cycle, burn rate, runway, pipeline review, investor and fundraising prep, executive summary, daily digest. Operates on the .mxm-executive-summary context.

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。

Periodic dependency update run. Reads what the package manager says is outdated, upgrades what is safe, applies the code changes the new versions need, verifies, and opens one reviewable PR. Supports a read-only dry run that reports what it would do. Use when the user says "dependency update", "/dependency-update", "update deps", "dry run the dep update", or when a scheduled cloud routine fires.

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。

Audit context files (CLAUDE.md, .claude/ tree, READMEs, docs) for broken references and verifiably stale content. Runs a deterministic offline link/path checker first, then a bounded semantic review where every finding must cite evidence. Reports findings; fixes only on request. Use when the user says "docs check", "/docs-checker", "check the docs for stale content", "audit CLAUDE.md", or when a scheduled cloud routine fires.

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。

Distill your previous response into its leanest form. Use when the user says "tldr", "too long", "shorter", or asks you to condense or summarise what you just said.

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。

Triage requirements, specs, or tickets. Detect input (pasted text, markdown path, tracker ticket id/URL, or empty prompt). Explore codebase + docs, score completeness, ask clarifying questions, write a markdown report. Trigger when user says "triage", "review this spec", "is this requirement complete", or provides a ticket/spec to assess.

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。

Comprehensive guide for creating professional UI/UX designs in Penpot using MCP tools. Use this skill when: (1) Creating new UI/UX designs for web, mobile, or desktop applications, (2) Building design systems with components and tokens, (3) Designing dashboards, forms, navigation, or landing pages, (4) Applying accessibility standards and best practices, (5) Following platform guidelines (iOS, Android, Material Design), (6) Reviewing or improving existing Penpot designs for usability. Triggers: "design a UI", "create interface", "build layout", "design dashboard", "create form", "design landing page", "make it accessible", "design system", "component library".

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。

Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, review experiments, inspect datasets, and query the GraphQL API. Use when debugging AI/LLM applications, analyzing trace data, working with Phoenix observability, or investigating LLM performance issues.

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。

Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath).

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 and scale partner ecosystems that drive revenue and platform adoption. Use when building partner programs from scratch, tiering partnerships, managing co-marketing, making build-vs-partner decisions, or structuring crawl-walk-run partner 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。