cache-components

138.1k

vercel

Expert guidance for Next.js Cache Components and Partial Prerendering (PPR). **PROACTIVE ACTIVATION**: Use this skill automatically when working in Next.js projects that have `cacheComponents: true` in their next.config.ts/next.config.js. When this config is detected, proactively apply Cache Components patterns and best practices to all React Server Component implementations. **DETECTION**: At the start of a session in a Next.js project, check for `cacheComponents: true` in next.config. If enabled, this skill's patterns should guide all component authoring, data fetching, and caching decisions. **USE CASES**: Implementing 'use cache' directive, configuring cache lifetimes with cacheLife(), tagging cached data with cacheTag(), invalidating caches with updateTag()/revalidateTag(), optimizing static vs dynamic content boundaries, debugging cache issues, and reviewing Cache Component implementations.

mechanic

1.8k

openclaw

Vehicle maintenance tracker and mechanic advisor. Tracks mileage, service intervals, fuel economy, costs, warranties, and recalls. Researches manufacturer schedules, estimates costs, projects service dates, tracks providers, and proactively reminds about upcoming/overdue services. Supports VIN decode and auto-population of vehicle specs, NHTSA recall monitoring, MPG tracking with anomaly detection, warranty expiration alerts, pre-trip/seasonal checklists, mileage projection, service provider history, tax deduction integration, emergency info cards, and cost-per-mile analysis. Use when discussing vehicle maintenance, oil changes, service intervals, mileage tracking, fuel economy, warranties, recalls, RV maintenance, roof sealing, generator service, slide-outs, winterization, or anything mechanic-related. Supports any vehicle type including trucks, cars, motorcycles, dirt bikes, ATVs, RVs, and boats.

detecting-memory-leaks

1.5k

jeremylongshore

This skill enables Claude to detect potential memory leaks and analyze memory usage patterns in code. It is triggered when the user requests "detect memory leaks", "analyze memory usage", or similar phrases related to memory leak detection and performance analysis. The skill identifies potential issues such as unremoved event listeners, closures preventing garbage collection, uncancelled timers, unbounded cache growth, circular references, detached DOM nodes, and unnecessary global state accumulation. It then provides detailed fix recommendations. Use this skill to proactively identify and resolve memory leaks, improving application performance and stability.

cache-components

353

sangrokjung

Expert guidance for Next.js Cache Components and Partial Prerendering (PPR). **PROACTIVE ACTIVATION**: Use this skill automatically when working in Next.js projects that have `cacheComponents: true` in their next.config.ts/next.config.js. When this config is detected, proactively apply Cache Components patterns and best practices to all React Server Component implementations. **DETECTION**: At the start of a session in a Next.js project, check for `cacheComponents: true` in next.config. If enabled, this skill's patterns should guide all component authoring, data fetching, and caching decisions. **USE CASES**: Implementing 'use cache' directive, configuring cache lifetimes with cacheLife(), tagging cached data with cacheTag(), invalidating caches with updateTag()/revalidateTag(), optimizing static vs dynamic content boundaries, debugging cache issues, and reviewing Cache Component implementations.

code-review

315

popup-studio-ai

Code review skill for analyzing code quality, detecting bugs, and ensuring best practices. Provides comprehensive code review with actionable feedback. Use proactively when user requests code review, quality check, or bug detection. Triggers: code review, review code, check code, analyze code, bug detection, 코드 리뷰, 코드 검토, 버그 검사, コードレビュー, バグ検出, 代码审查, 代码检查, revisión de código, revisar código, detección de errores, revue de code, réviser le code, détection de bugs, Code-Review, Code überprüfen, Fehlererkennung, revisione del codice, rivedere codice, rilevamento bug Do NOT use for: design document creation, deployment tasks, or gap analysis (use phase-8-review).

bkit-rules

315

popup-studio-ai

Core rules for bkit plugin. PDCA methodology, level detection, agent auto-triggering, and code quality standards. These rules are automatically applied to ensure consistent AI-native development. Use proactively when user requests feature development, code changes, or implementation tasks. Triggers: bkit, PDCA, develop, implement, feature, bug, code, design, document, 개발, 기능, 버그, 코드, 설계, 문서, 開発, 機能, バグ, 开发, 功能, 代码, desarrollar, función, error, código, diseño, documento, développer, fonctionnalité, bogue, code, conception, document, entwickeln, Funktion, Fehler, Code, Design, Dokument, sviluppare, funzionalità, bug, codice, design, documento Do NOT use for: documentation-only tasks, research, or exploration without code changes.

phase-8-review

315

popup-studio-ai

Skill for verifying overall codebase quality and gap analysis. Covers architecture consistency, convention compliance, design-implementation gaps, and potential issue detection. Includes analysis patterns and report writing. Use proactively when implementation is complete and quality verification is needed. Triggers: code review, architecture review, quality check, refactoring, gap analysis, 코드 리뷰, 설계-구현 분석, コードレビュー, ギャップ分析, 代码审查, 差距分析, revisión de código, revisión de arquitectura, control de calidad, análisis de brechas, revue de code, revue d'architecture, contrôle qualité, analyse des écarts, Code-Review, Architekturüberprüfung, Qualitätskontrolle, Gap-Analyse, revisione del codice, revisione dell'architettura, controllo qualità, analisi dei gap Do NOT use for: initial development, design phase, or deployment tasks.

remembering

107

oaustegard

Advanced memory operations reference. Basic patterns (profile loading, simple recall/remember) are in project instructions. Consult this skill for background writes, memory versioning, complex queries, edge cases, session scoping, retention management, type-safe results, proactive memory hints, GitHub access detection, and ops priority ordering.

cache-components

99

zoonk

Expert guidance for Next.js Cache Components and Partial Prerendering (PPR). **PROACTIVE ACTIVATION**: Use this skill automatically when working in Next.js projects that have `cacheComponents: true` in their next.config.ts/next.config.js. When this config is detected, proactively apply Cache Components patterns and best practices to all React Server Component implementations. **DETECTION**: At the start of a session in a Next.js project, check for `cacheComponents: true` in next.config. If enabled, this skill's patterns should guide all component authoring, data fetching, and caching decisions. **USE CASES**: Implementing 'use cache' directive, configuring cache lifetimes with cacheLife(), tagging cached data with cacheTag(), invalidating caches with updateTag()/revalidateTag(), optimizing static vs dynamic content boundaries, debugging cache issues, and reviewing Cache Component implementations.

security-secrets

88

IgorWarzocha

Review secret detection patterns and scanning workflows. Use for identifying high-signal secrets like AWS keys, GitHub tokens, and DB passwords. Use proactively during all security audits to scan code and history. Examples: - user: "Scan for secrets in this repo" → run high-signal rg patterns and gitleaks - user: "Check for AWS keys" → scan for AKIA patterns and server-side exposure - user: "Audit my .env files" → ensure secrets are gitignored and not committed - user: "Verify secret redaction" → check that reported secrets follow 4+4 format - user: "Scan build artifacts for keys" → search dist/ and build/ for secret patterns

refactoring-expert

60

cin12211

Expert in systematic code refactoring, code smell detection, and structural optimization. Use PROACTIVELY when encountering duplicated code, long methods, complex conditionals, or any code quality issues. Detects code smells and applies proven refactoring techniques without changing external behavior.

cli-expert

60

cin12211

Expert in building npm package CLIs with Unix philosophy, automatic project root detection, argument parsing, interactive/non-interactive modes, and CLI library ecosystems. Use PROACTIVELY for CLI tool development, npm package creation, command-line interface design, and Unix-style tool implementation.

skill-forge

37

WilliamSaysX

Automated skill creation workshop with intelligent source detection, smart path management, and end-to-end workflow automation. This skill should be used when users want to create a new skill or convert external resources (GitHub repositories, online documentation, or local directories) into a skill. Automatically fetches, organizes, and packages skills with proactive cleanup management.

vscode-bug-hunter

12

s-hiraoku

This skill provides systematic bug detection and discovery capabilities for VS Code extensions. Use when searching for hidden bugs, analyzing code for potential issues, investigating suspicious behavior, performing code audits, or proactively finding bugs before they manifest. Covers static analysis patterns, dynamic analysis techniques, code smell detection, and systematic codebase investigation.

security-reviewer

10

materialofair

Security vulnerability detection specialist. Use PROACTIVELY after writing code that handles user input, authentication, API endpoints, or sensitive data. Detects OWASP Top 10 vulnerabilities, secrets, and unsafe patterns.

security-secrets

6

justinlevinedotme

Review secret detection patterns and scanning workflows. Use for identifying high-signal secrets like AWS keys, GitHub tokens, and DB passwords. Use proactively during all security audits to scan code and history. Examples: - user: "Scan for secrets in this repo" → run high-signal rg patterns and gitleaks - user: "Check for AWS keys" → scan for AKIA patterns and server-side exposure - user: "Audit my .env files" → ensure secrets are gitignored and not committed - user: "Verify secret redaction" → check that reported secrets follow 4+4 format - user: "Scan build artifacts for keys" → search dist/ and build/ for secret patterns

k8s-troubleshooting

4

kcns008

Comprehensive Kubernetes and OpenShift cluster health analysis and troubleshooting based on Popeye's issue detection patterns. Use this skill when: (1) Proactive cluster health assessment and security analysis (2) Analyzing pod/container logs for errors or issues (3) Interpreting cluster events (kubectl get events) (4) Debugging pod failures: CrashLoopBackOff, ImagePullBackOff, OOMKilled, etc. (5) Diagnosing networking issues: DNS, Service connectivity, Ingress/Route problems (6) Investigating storage issues: PVC pending, mount failures (7) Analyzing node problems: NotReady, resource pressure, taints (8) Troubleshooting OCP-specific issues: SCCs, Routes, Operators, Builds (9) Performance analysis and resource optimization (10) Security vulnerability assessment and RBAC validation (11) Configuration best practices validation (12) Reliability and high availability analysis

detecting-insider-threat-behaviors

2

mukul975

Detect insider threat behavioral indicators including unusual data access, off-hours activity, mass file downloads, privilege abuse, and resignation-correlated data theft.

hunting-for-data-exfiltration-indicators

2

mukul975

Hunt for data exfiltration through network traffic analysis, detecting unusual data flows, DNS tunneling, cloud storage uploads, and encrypted channel abuse.

detecting-pass-the-hash-attacks

2

mukul975

Detect Pass-the-Hash attacks by analyzing NTLM authentication patterns, identifying Type 3 logons with NTLM where Kerberos is expected, and correlating with credential dumping.

detecting-email-forwarding-rules-attack

2

mukul975

Detect malicious email forwarding rules created by adversaries to maintain persistent access to email communications for intelligence collection and BEC attacks.

detecting-kerberoasting-attacks

2

mukul975

Detect Kerberoasting attacks by monitoring for anomalous Kerberos TGS requests targeting service accounts with SPNs for offline password cracking.

hunting-for-persistence-mechanisms-in-windows

2

mukul975

Systematically hunt for adversary persistence mechanisms across Windows endpoints including registry, services, startup folders, and WMI subscriptions.

performing-threat-hunting-with-elastic-siem

2

mukul975

Performs proactive threat hunting in Elastic Security SIEM using KQL/EQL queries, detection rules, and Timeline investigation to identify threats that evade automated detection. Use when SOC teams need to hunt for specific ATT&CK techniques, investigate anomalous behaviors, or validate detection coverage gaps using Elasticsearch and Kibana Security.

hunting-for-webshell-activity

2

mukul975

Hunt for web shell deployments on internet-facing servers by analyzing file creation in web directories, suspicious process spawning from web servers, and anomalous HTTP patterns.

hunting-for-registry-persistence-mechanisms

2

mukul975

Hunt for registry-based persistence mechanisms including Run keys, Winlogon modifications, IFEO injection, and COM hijacking in Windows environments.

detect-anomalies-aiops

2

pjt222

Implement AI-powered anomaly detection for operational metrics using time series analysis (Isolation Forest, Prophet, LSTM), alert correlation, and root cause analysis. Reduce alert fatigue by intelligently identifying true anomalies in system metrics, logs, and traces. Use when operations teams are overwhelmed by alert volume, when detecting complex multi-metric anomalies beyond static thresholds, when seasonal patterns make thresholds ineffective, or when needing to predict issues proactively before they impact users.

hunting-for-shadow-copy-deletion

2

mukul975

Hunt for Volume Shadow Copy deletion activity that indicates ransomware preparation or anti-forensics by monitoring vssadmin, wmic, and PowerShell shadow copy commands.

detecting-credential-dumping-with-edr

2

mukul975

Detect OS credential dumping techniques including LSASS access, SAM extraction, and DCSync using EDR telemetry and Sysmon logs.

hunting-for-command-and-control-beaconing

2

mukul975

Detect C2 beaconing patterns in network traffic using frequency analysis, jitter detection, and domain reputation to identify compromised endpoints communicating with adversary infrastructure.

detect-anomalies-aiops

2

pjt222

Implement AI-powered anomaly detection for operational metrics using time series analysis (Isolation Forest, Prophet, LSTM), alert correlation, and root cause analysis. Reduce alert fatigue by intelligently identifying true anomalies in system metrics, logs, and traces. Use when operations teams are overwhelmed by alert volume, when detecting complex multi-metric anomalies beyond static thresholds, when seasonal patterns make thresholds ineffective, or when needing to predict issues proactively before they impact users.

detecting-privilege-escalation-attempts

2

mukul975

Detect privilege escalation attempts including token manipulation, UAC bypass, unquoted service paths, kernel exploits, and sudo/doas abuse across Windows and Linux.

detecting-process-hollowing-technique

2

mukul975

Detect process hollowing (T1055.012) by analyzing memory-mapped sections, hollowed process indicators, and parent-child process anomalies in EDR telemetry.

hunting-for-scheduled-task-persistence

2

mukul975

Hunt for adversary persistence via Windows Scheduled Tasks by analyzing task creation events, suspicious task actions, and unusual scheduling patterns.

hunting-for-spearphishing-indicators

2

mukul975

Hunt for spearphishing campaign indicators across email logs, endpoint telemetry, and network data to detect targeted email attacks.

detecting-lateral-movement-with-splunk

2

mukul975

Detect adversary lateral movement across networks using Splunk SPL queries against Windows authentication logs, SMB traffic, and remote service abuse.

hunting-for-unusual-network-connections

2

mukul975

Hunt for unusual network connections by analyzing outbound traffic patterns, rare destinations, non-standard ports, and anomalous connection frequencies from endpoints.

detecting-dll-sideloading-attacks

2

mukul975

Detect DLL side-loading attacks where adversaries place malicious DLLs alongside legitimate applications to hijack execution flow for defense evasion.

hunting-for-living-off-the-cloud-techniques

2

mukul975

Hunt for adversary abuse of legitimate cloud services for C2, data staging, and exfiltration including abuse of Azure, AWS, GCP services, and SaaS platforms.

configure-alerting-rules

2

pjt222

Configure Prometheus Alertmanager with routing trees, receivers (Slack, PagerDuty, email), inhibition rules, silences, and notification templates for actionable incident alerting. Use when implementing proactive monitoring with automated incident detection, routing alerts to the appropriate team by severity, reducing alert fatigue through grouping and deduplication, integrating with on-call systems like PagerDuty, or migrating from legacy alerting to Prometheus-based alerting.

detecting-mimikatz-execution-patterns

2

mukul975

Detect Mimikatz execution through command-line patterns, LSASS access signatures, binary indicators, and in-memory detection of known modules.

scale-colony

2

pjt222

Scale distributed systems and organizations through colony budding, role differentiation, and growth-triggered architectural transitions. Covers growth phase recognition, age polyethism, fission protocols, inter-colony coordination, and scaling limit detection. Use when a team or system that worked at 10 agents breaks down at 50, when communication overhead grows faster than productive output, when planning a growth phase proactively, or when coordination failures correlate with size such as lost messages, duplicated work, or unclear ownership.

detecting-suspicious-powershell-execution

2

mukul975

Detect suspicious PowerShell execution patterns including encoded commands, download cradles, AMSI bypass attempts, and constrained language mode evasion.

hunting-for-supply-chain-compromise

2

mukul975

Hunt for supply chain compromise indicators including trojanized software updates, compromised dependencies, unauthorized code modifications, and tampered build artifacts.

scale-colony

2

pjt222

Scale distributed systems and organizations through colony budding, role differentiation, and growth-triggered architectural transitions. Covers growth phase recognition, age polyethism, fission protocols, inter-colony coordination, and scaling limit detection. Use when a team or system that worked at 10 agents breaks down at 50, when communication overhead grows faster than productive output, when planning a growth phase proactively, or when coordination failures correlate with size such as lost messages, duplicated work, or unclear ownership.

building-threat-hunt-hypothesis-framework

2

mukul975

Build a systematic threat hunt hypothesis framework that transforms threat intelligence, attack patterns, and environmental data into testable hunting hypotheses.

hunting-for-living-off-the-land-binaries

2

mukul975

Proactively hunt for adversary abuse of legitimate system binaries (LOLBins) to execute malicious payloads while evading detection.

detecting-service-account-abuse

2

mukul975

Detect abuse of service accounts through anomalous interactive logons, privilege escalation, lateral movement, and unauthorized access patterns.