16 skills found
Idiomatic context.Context usage in Golang — propagation through API boundaries, cancellation, timeouts and deadlines, request-scoped values, context.WithoutCancel for background work outliving requests. Apply when designing context propagation across layers, debugging leaked or unexpired contexts, choosing between context.Background/TODO/WithoutCancel, or storing values in context. Not for code that merely accepts ctx as first parameter.
When the user wants to create or update their product marketing context document. Also use when the user mentions 'product context,' 'marketing context,' 'set up context,' 'positioning,' 'who is my target audience,' 'describe my product,' 'ICP,' 'ideal customer profile,' or wants to avoid repeating foundational information across marketing tasks. Use this at the start of any new project before using other marketing skills — it creates `.agents/product-marketing-context.md` that all other skills
Compose technology-specific agent identity and patterns. Invoke before spawning agents (Developer, SSE, QA, Tech Lead, RE, Investigator) to enhance expertise based on project stack. Returns composed specialization block with token budgeting.
This skill should be used when the user asks to design agent tools, create tool descriptions, reduce tool complexity, implement MCP tools, or mentions tool consolidation, architectural reduction, tool naming conventions, or agent-tool interfaces.
This skill should be used when the user asks to start an LLM project, design batch pipeline, evaluate task-model fit, structure agent project, or mentions pipeline architecture, agent-assisted development, cost estimation, or choosing between LLM and traditional approaches.
This skill should be used when the user asks to design multi-agent system, implement supervisor pattern, create swarm architecture, coordinate multiple agents, or mentions multi-agent patterns, context isolation, agent handoffs, sub-agents, or parallel agent execution.
This skill should be used when the user asks to implement agent memory, persist state across sessions, build knowledge graph, track entities, or mentions memory architecture, temporal knowledge graphs, vector stores, entity memory, or cross-session persistence.
This skill should be used when the user asks to build background agent, create hosted coding agent, set up sandboxed execution, implement multiplayer agent, or mentions background agents, sandboxed VMs, agent infrastructure, Modal sandboxes, self-spawning agents, or remote coding environments.
This skill should be used when the user asks to offload context to files, implement dynamic context discovery, use filesystem for agent memory, reduce context window bloat, or mentions file-based context management, tool output persistence, agent scratch pads, or just-in-time context loading.
This skill should be used when the user asks to evaluate agent performance, build test framework, measure agent quality, create evaluation rubrics, or mentions LLM-as-judge, multi-dimensional evaluation, agent testing, or quality gates for agent pipelines.
This skill should be used when the user asks to optimize context, reduce token costs, improve context efficiency, implement KV-cache optimization, partition context, or mentions context limits, observation masking, context budgeting, or extending effective context capacity.
This skill should be used when the user asks to understand context, explain context windows, design agent architecture, debug context issues, optimize context usage, or discusses context components, attention mechanics, progressive disclosure, or context budgeting. Provides foundational understanding of context engineering for AI agent systems.
