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cccskills

「version」の検索結果

2,989 件 ・ 関連度順

概要と使いどころ

Build and audit PFC2D/PFC3D 5.0 model foundations for asphalt cases, including lifecycle, domain, balls, walls, clumps, groups, ranges, top-level cmat, staged saves, and source-version purity.

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。

Echo-aloha/asphalt-codex-skills-5262026年8月26日 更新

Plan and validate PFC 5.0 asphalt fluid, pore-pressure, buoyancy, seepage, and PFC-FLAC coupling contracts while keeping version-specific commands and licensed coupling assets external.

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。

Echo-aloha/asphalt-codex-skills-5262026年8月26日 更新

Build PFC 5.0 asphalt-mixture specimens with explicit aggregate objects, a declared homogenized-mastic or fine-particle abstraction, residual air voids, measured gradation conversion, contact-pair assignment, compaction, equilibrium, and mass-volume closure; use before Marshall, rutting, creep, or strength tests.

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。

Echo-aloha/asphalt-codex-skills-5262026年8月26日 更新

Upgrade gstack to the latest version.

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。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Apply behavioral finance theory to identify systematic investor biases and their impact on asset prices. Use this skill when the user needs to analyze irrational market behavior, explain pricing anomalies through cognitive biases, diagnose investor decision errors, or when they ask 'why do investors hold losers too long', 'how does loss aversion affect pricing', or 'what biases drive this market pattern'.".

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。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Design conversational commerce experiences across messaging platforms including chatbot flows, product cards, and conversion strategies. Use this skill when the user needs to sell through LINE, WhatsApp, Instagram DM, or other messaging channels, design chatbot purchasing flows, or integrate messaging into their sales funnel — even if they say 'sell through LINE', 'build a shopping chatbot', 'customers ask to buy in our DMs', or 'conversational sales strategy'.".

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。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Apply auction theory to compare the four canonical auction formats and assess revenue equivalence. Use this skill when the user needs to choose an auction format, evaluate bidding strategies, or determine when revenue equivalence breaks down due to risk aversion, asymmetry, or correlated values.".

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。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Conduct cohort analysis to track user behavior over time, build retention matrices, and compare cohort performance. Use this skill when the user needs to measure retention, understand how user behavior changes after acquisition, compare product versions' impact on engagement, or predict LTV — even if they say 'what's our retention rate', 'are newer users behaving differently', 'build a retention table', or 'how long do customers stick around'.".

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。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Map and analyze the customer journey across Awareness, Consideration, Decision, Usage, and Advocacy stages. Use this skill when the user needs to understand the customer experience end-to-end, identify drop-off points, optimize touchpoints, or improve conversion — even if they say 'where are we losing customers', 'what's our funnel look like', or 'map the 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。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Design multi-objective e-commerce product ranking combining relevance, conversion, and business metrics. Use this skill when the user needs to build a product ranking system beyond text relevance, balance relevance with commercial objectives, or implement learning-to-rank — even if they say 'product sorting', 'search result ranking', or 'how to rank products'.".

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。

charlieviettq/awesome-agent-skill262026年7月20日 更新

Fetch library and framework documentation via context7-mcp and fetch-mcp for comprehensive documentation research with version-specific 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。

matteocervelli/llms252026年5月22日 更新

health

無料

Holistic project audit across endpoints, versions, docs, security, quality, CI, and library dimensions. Use when checking overall project health or running a periodic cross-cutting audit. Trigger on "project health", "audit the project", "health check", "is this project in good shape".

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。

matteocervelli/llms252026年5月22日 更新

Generate CHANGELOG entries following conventional commits format with semantic versioning. Use when finalizing features to maintain proper change history.

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。

matteocervelli/llms252026年5月22日 更新

Create high-converting, visually distinctive landing pages. Use when building marketing pages, product launches, SaaS homepages, or any single-page conversion-focused website. Guides section-by-section composition with anti-AI-slop principles.

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。

2389-research/landing-page-design252026年7月7日 更新

Analyze sales pipeline, historical revenue, conversion rates, and assumptions to produce forecast scenarios. Use for sales reviews, RevOps planning, and founder revenue forecasting.

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。

hoavdc/CodexKit252026年10月11日 更新

Review REST and GraphQL API designs for consistency, usability, and best practices. Covers naming conventions, versioning strategy, error format, pagination, authentication patterns, and breaking change detection. Use when reviewing API specs, designing new APIs, or auditing existing endpoints.

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。

hoavdc/CodexKit252026年10月11日 更新

Design rigorous A/B test plans with hypothesis, sample size calculation, Minimum Detectable Effect (MDE), randomization strategy, and decision rules. Includes guardrail metrics and rollout playbook. Use when planning product experiments, conversion optimization, or data-driven feature decisions.

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。

hoavdc/CodexKit252026年10月11日 更新

Use when implementing a PlayCanvas feature the project does not use yet, to find and adapt the official example matching the installed version.

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。

playcanvas/skills252026年10月13日 更新

TLS/SSL configuration audit. Tests protocol versions (SSLv2/3, TLS 1.0/1.1/1.2/1.3), cipher strength and ordering, certificate chain validation (intermediates, CT logs, OCSP stapling, pinning), known vulnerabilities (POODLE, BEAST, CRIME, Heartbleed, ROBOT, DROWN, Ticketbleed, GOLDENDOODLE), session management (ticket reuse, resumption, fixation), renegotiation attacks, TLS 1.3-specific issues (0-RTT replay, PSK modes, downgrade), HSTS deep analysis (preload, subdomains, bypass), and certificate revocation (CRL, OCSP responder, stapled response freshness). Compliance-mapped to PCI DSS 4.0 (full Section 4), NIST SP 800-52r2, and FedRAMP. Uses testssl.sh, sslscan, sslyze, openssl, nmap NSE scripts, and nuclei SSL templates. Multi-port scanning across 20+ TLS-bearing services.

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。

ShulkwiSEC/bb-huge242026年7月11日 更新

Perform advanced network scanning and service enumeration using Nmap for penetration testing and security assessments. Use this skill when conducting network reconnaissance, port scanning, service version detection, OS fingerprinting, and vulnerability scanning. Covers stealth scanning, firewall evasion, NSE script usage, and network mapping for infrastructure penetration tests.

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。

ShulkwiSEC/bb-huge242026年7月11日 更新

Detects code quality vulnerabilities in mobile apps (Android/iOS). Trigger on: SQL injection in SQLite, JavaScript injection in WebViews, intent injection, unsafe deserialization, NSKeyedUnarchiver, NSCoding, Java serialization, Parcelable, buffer overflow, JNI native code, PIE disabled, NX disabled, stack canary absent, RELRO, ARC disabled, third-party library CVE, vulnerable dependency, outdated SDK, targetSdkVersion, update enforcement missing, implicit Intent, URL loading in WebView, object persistence, memory corruption, OWASP dependency check. Covers MASVS-CODE-1/2/3/4.

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。

ShulkwiSEC/bb-huge242026年7月11日 更新

Execute sophisticated Data Extraction and Privacy Leakage attacks explicitly against Large Language Models (LLMs) to natively force the neural network entirely into organically regurgitating exact, verbatim strings of Highly Confidential Personally Identifiable Information (PII), proprietary source code, or copyrighted material categorically memorized intrinsically during its foundational pre-training phase.

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。

ShulkwiSEC/bb-huge242026年7月11日 更新

bola-idor

無料

Use when hunting Broken Object Level Authorization (BOLA) or Insecure Direct Object Reference (IDOR) vulnerabilities in APIs or web applications. Trigger on: "BOLA", "IDOR", "broken object level", "access other users", "object reference", numeric or UUID IDs in URLs or request bodies, user-scoped resources, horizontal privilege escalation, "change the ID in the request", second-order IDOR, blind IDOR, indirect reference, encoded ID, deprecated API version, JSON globbing.

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。

ShulkwiSEC/bb-huge242026年7月11日 更新

Identify and exploit OS Command Injection vulnerabilities where web applications insecurely pass user input into system shell commands. Use this skill when applications feature ping utilities, file conversions, network diagnostics, or PDF generators to execute arbitrary system commands and achieve Remote Code Execution (RCE).

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。

ShulkwiSEC/bb-huge242026年7月11日 更新