Golang performance optimization patterns and methodology - if X bottleneck, then apply Y. Covers allocation reduction, CPU efficiency, memory layout, GC tuning, pooling, caching, and hot-path optimization. Use when profiling or benchmarks have identified a bottleneck and you need the right optimization pattern to fix it. Also use when performing performance code review to suggest improvements or benchmarks that could help identify quick performance gains. Not for measurement methodology (see golang-benchmark skill) or debugging workflow (see golang-troubleshooting skill).

Decompose complex tasks, design dependency graphs, and coordinate multi-agent work with proper task descriptions and workload balancing. Use this skill when breaking down work for agent teams, managing task dependencies, or monitoring team progress.

Techniques for patching code to overcome fuzzing obstacles. Use when checksums, global state, or other barriers block fuzzer progress.

Scans Algorand smart contracts for 11 common vulnerabilities including rekeying attacks, unchecked transaction fees, missing field validations, and access control issues. Use when auditing Algorand projects (TEAL/PyTeal).

Quickly deslop UI code by fixing spacing, hierarchy, typography, and small layout issues. Use when the interface needs a fast cleanup or polish pass.

Optimize Langfuse tracing performance for high-throughput applications. Use when experiencing latency issues, optimizing trace overhead, or scaling Langfuse for production workloads. Trigger with phrases like "langfuse performance", "optimize langfuse", "langfuse latency", "langfuse overhead", "langfuse slow".

Build Amazon Machine Images (AMIs) with Packer using the amazon-ebs builder. Use when creating custom AMIs for EC2 instances.

Receive and verify Deepgram webhooks (callbacks). Use when setting up Deepgram webhook handlers, processing transcription callbacks, or handling asynchronous transcription results.

Receive and verify Clerk webhooks. Use when setting up Clerk webhook handlers, debugging signature verification, or handling user events like user.created, user.updated, session.created, or organization.created.

Collect Langfuse debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Langfuse problems. Trigger with phrases like "langfuse debug", "langfuse support bundle", "collect langfuse logs", "langfuse diagnostic", "langfuse troubleshoot".

Monitor and optimize LLM costs using Langfuse analytics and dashboards. Use when tracking LLM spending, identifying cost anomalies, or implementing cost controls for AI applications. Trigger with phrases like "langfuse costs", "LLM spending", "track AI costs", "langfuse token usage", "optimize LLM budget".

Receive and verify Chargebee webhooks. Use when setting up Chargebee webhook handlers, debugging Basic Auth verification, or handling subscription billing events.

Execute Langfuse secondary workflow: Evaluation, scoring, and datasets. Use when implementing LLM evaluation, adding user feedback, or setting up automated quality scoring and experiment datasets. Trigger with phrases like "langfuse evaluation", "langfuse scoring", "rate llm outputs", "langfuse feedback", "langfuse datasets", "langfuse experiments".

Execute Langfuse primary workflow: Tracing LLM calls and spans. Use when implementing LLM tracing, building traced AI features, or adding observability to existing LLM applications. Trigger with phrases like "langfuse tracing", "trace LLM calls", "add langfuse to openai", "langfuse spans", "track llm requests".

Organize SpecStory AI coding sessions in .specstory/history into year/month folders. Run when user says "organize my history", "clean up specstory", "sort my sessions", or "organize specstory files".

Configure Instantly.ai across development, staging, and production environments. Use when setting up multi-workspace deployments, isolating test from production, or managing per-environment API keys and webhook endpoints. Trigger with phrases like "instantly environments", "instantly staging", "instantly dev prod", "instantly multi-env", "instantly workspace isolation".

Deploy Granola native integrations — Slack, Notion, HubSpot, Attio, Affinity, and Zapier. Step-by-step setup for each platform with configuration, testing, and automation chains. Trigger: "granola slack", "granola notion", "granola hubspot", "granola attio", "connect granola", "granola integration".

Deep dive into migrating to Gamma from other presentation platforms. Use when migrating from PowerPoint, Google Slides, Canva, or other presentation tools to Gamma. Trigger with phrases like "gamma migration", "migrate to gamma", "gamma import", "gamma from powerpoint", "gamma from google slides".

Upgrade Firecrawl SDK versions and migrate between API versions (v0 to v1/v2). Use when upgrading the SDK, handling breaking changes between versions, or migrating from the old API to the current v2 API. Trigger with phrases like "upgrade firecrawl", "firecrawl migration", "firecrawl v2", "update firecrawl SDK", "firecrawl breaking changes".

Implement Exa load testing, capacity planning, and scaling strategies. Use when running performance tests, planning capacity for Exa integrations, or designing high-throughput search architectures. Trigger with phrases like "exa load test", "exa scale", "exa capacity", "exa k6", "exa benchmark", "exa throughput".