Results for “server”

Agent fallback for CEngineServer_SetFrameTimeAmnesty (auto-generated, category: vfunc). Locate CEngineServer::SetFrameTimeAmnesty in the CS2 engine module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CEngineServer_SetFrameTimeAmnesty, CEngineServer::SetFrameTimeAmnesty

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Agent fallback for CEngineServer_vtable (auto-generated, category: func). Locate CEngineServer_vtable in the CS2 engine module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CEngineServer_vtable, CEngineServer_vtable

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Agent fallback for CDelayedCall2_CServerSideClientBase_ProcessBaselineAckCall_vtable (auto-generated, category: func). Locate CDelayedCall2_CServerSideClientBase_ProcessBaselineAckCall_vtable in the CS2 engine module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CDelayedCall2_CServerSideClientBase_ProcessBaselineAckCall_vtable, CDelayedCall2_CServerSideClientBase_ProcessBaselineAckCall_vtable

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Agent fallback for CDelayedCall2_CServerSideClientBase_UpdateAcknowledgedFramecountCall_vtable (auto-generated, category: func). Locate CDelayedCall2_CServerSideClientBase_UpdateAcknowledgedFramecountCall_vtable in the CS2 engine module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CDelayedCall2_CServerSideClientBase_UpdateAcknowledgedFramecountCall_vtable, CDelayedCall2_CServerSideClientBase_UpdateAcknowledgedFramecountCall_vtable

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Implements React Server Components (RSC) patterns with Next.js App Router including data fetching, streaming, selective hydration, and server/client composition. Use when users request "server components", "RSC", "Next.js app router", "server-side rendering", or "streaming".

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Design and review Prisma database code for TypeScript backends. Use examples for schemas, queries, transactions, pagination, migrations, and connection management to identify common pitfalls in bulk operations and serverless deployments.

• Designing database models and relationships with Prisma
• Reviewing queries and pagination
• Investigating transaction and bulk update problems

Split a home network into VLANs, separate logical networks for trusted devices, IoT, servers, and guests. Plan switch ports, Wi-Fi network mapping, and firewall rules using UniFi, pfSense/OPNsense, or MikroTik.

• Isolate smart home devices from PCs and servers
• Create guest Wi-Fi with internet-only access
• Assign switch ports and Wi-Fi networks to VLANs

Helps you discover, authenticate, and call MCP servers from the terminal. MCP connects agents to external tools. You can inspect available tools, manage connections, make one-off calls, and generate command-line wrappers or TypeScript clients.

• Checking configured MCP servers and their tools
• Calling an MCP tool for a one-off task
• Managing server authentication and configuration

Set up claude-mem for Grok Bot with a local worker and CMEM Pro service for recording observations. The skill also covers an optional host-login setup and remote cmem.ai connection, without requiring Cursor.

• Install claude-mem for Grok Bot
• Set up a local worker with CMEM Pro
• Choose the optional host-login observer

Set up claude-mem in Cursor with a local or remote worker, the process that runs its work. Follow configuration steps for remote inference through cmem.ai or a local observer using the host's login.

• Installing claude-mem with a local worker in Cursor
• Connecting Cursor to a remote claude-mem worker
• Configuring host-login or cmem.ai inference

Measure Storybook startup from launching the process to displaying the first story. Separate server readiness from browser rendering, summarize repeated runs, and compare versions or feature flags to investigate slower startup.

• Measure startup through the first story render
• Compare Storybook versions or feature flags
• Summarize repeated startup measurements

Scan declared MCP servers and tools for permission, policy, and dependency issues without executing them. Produce JSON or a Markdown table, and set a severity threshold that determines whether a CI check fails.

• Review declared MCP server and tool permissions
• Check policy and dependency issues in MCP configuration
• Fail CI when findings reach a chosen severity

Review HTTP Content-Type headers, which identify file formats, across web pages and static assets. Find mismatches that can block stylesheets or scripts, and identify server configuration changes needed to serve resources correctly.

• Investigating stylesheets or scripts that fail to load
• Auditing server settings for static assets
• Checking character encoding and nosniff headers

Measure how Google Tag Manager affects page loading and rendering. Identify costly tags, triggers, and requests, then guide cleanup, asynchronous loading, or a move to server-side processing based on observed performance problems.

• Investigate slow pages using GTM
• Review unused tags and triggers
• Check asynchronous script loading

Check opencode commands, HTTP server behavior, lifecycle events, and terminal startup with purpose-built scripts. Find stored sessions by ID, title, or scoped message searches, and export conversations as JSON for further inspection.

• Check CLI commands and HTTP server health
• Observe lifecycle events associated with plugin hooks
• Check terminal startup and keyboard input

Plan product listings across startup, SaaS, AI, and MCP directories. Assess launch readiness, choose relevant sites, prepare tailored descriptions, and track submissions, published links, and referral results in a structured workflow.

• Planning directory listings for a product launch
• Tailoring descriptions to different directory audiences
• Preparing an MCP server registry submission

Configure MCP connections, which link AI agents to tools, for AWS documentation search and API access. Check existing settings, choose between documentation-only and full API access, verify available tools, and troubleshoot connection or credential problems.

• Set up AWS documentation search for an AI agent
• Configure an MCP connection for AWS API access
• Check existing AWS MCP settings

Design AWS applications that run without managing servers and respond to events. Get guidance on Lambda APIs, asynchronous workflows, retries, monitoring, and scaling, with implementation patterns based on the AWS Well-Architected Framework.

• Designing APIs backed by Lambda
• Building asynchronous job processing
• Coordinating services with Step Functions

Add interactive panels to an MCP server so users can select records, view charts, or follow progress inside a conversation. The skill guides tool connections, interface implementation, sandbox restrictions, and testing in hosts that support these panels.

• Build a searchable contact or file picker
• Display charts and previews inside a conversation
• Show live progress for a long-running job

Trace server-side request forgery, where a server fetches a supplied URL, through internal services and metadata endpoints in a CTF sandbox. Document credential scope and distinguish successful token extraction from access actually accepted by another service.

• Tracing server-side requests to internal services
• Checking metadata access and token scope
• Distinguishing token extraction from accepted access

Finds a local MCP server, a connector that adds tools to an agent, when existing tools or simple code cannot handle a task. It selects packages requiring no environment variables and starts them after approval.

• Finding a missing database or protocol client
• Adding a converter unavailable in current tools
• Starting a local MCP server without API key setup

Check an MCP server before release through a real client session. Compare available features with source code and documentation, test invalid requests and installation, and produce a verdict backed by reproducible commands and responses.

• Checking an MCP server before release
• Comparing live features with source code and documentation
• Testing invalid requests and error responses

Create a Go server for MCP, a protocol that connects AI agents to tools and data. Generate a structured project using the official SDK, with typed tools, configuration, error handling, tests, and setup documentation.

• Start a Go MCP server project
• Implement tools with typed inputs and outputs
• Add input validation and cancellation handling

Launch an SGLang server, run a quick accuracy check, and capture an execution trace for performance inspection. Return the trace location and generated files, ready to open in Perfetto or Chrome tracing.

• Capture an execution trace of SGLang inference
• Check basic accuracy before profiling
• Record input processing and token generation separately