A comprehensive multi-platform collection of Agent Skills for context engineering, harness engineering, multi-agent architectures, and production agent systems. Covers GitHub Copilot, Cursor, Amazon Kiro, Google Antigravity, and Amazon Q Developer. Use when building, optimizing, evaluating, or debugging agent systems…
This skill should be used for LLM-as-a-Judge evaluation techniques — direct scoring, pairwise comparison, rubric generation, reference-based grading, bias mitigation, calibration, and evaluator reliability measurement. Route deterministic evaluation checks and pipeline design to evaluation. Route agent harness design…
Understand how Amazon Q Developer assembles context — .amazonq/rules/ glob loading, README and AmazonQ.md defaults, /context profiles, context file token budgets, and IDE vs CLI context channels. Use when tuning what Q sees, diagnosing oversized context files, or budgeting against token limits. Do not activate for…
Author Amazon Q Developer steering files — .amazonq/rules/ markdown rules, nested rule organization, custom CLI agents, MCP configuration, and AmazonQ.md scaffolds. Use when writing Q project rules, when rules are ignored, or when rule bloat degrades responses. Do not activate for Q context loading internals…
Manage the context-window lifecycle in Amazon Q Developer IDE chat and CLI — /context monitoring, /compact summarization, automatic compaction nudge at 80% capacity, /clear, and saved conversations. Use when Q forgets earlier decisions, context approaches limits, or planning multi-phase CLI work. Do not activate for…
Understand how Google Antigravity assembles and persists context — AGENTS.md discovery, Knowledge Items, Skills in .agents/, Artifacts (plans, task lists, walkthroughs), Editor vs Manager surfaces, and browser/tool subagents. Use when tuning Antigravity context behavior, designing durable project memory, or diagnosing…
Author Google Antigravity steering files — root and nested AGENTS.md, .agents/skills/ with SKILL.md manifests, workflows, and MCP configuration. Use when writing project instructions for Antigravity, when agents ignore conventions, or when AGENTS.md bloat degrades responses. Do not activate for Artifact lifecycle…
Manage persistent context across long Google Antigravity agent sessions — Artifact review cycles, Knowledge Item curation, Manager Surface handoffs, and deciding when to spawn fresh agents vs continue. Use when Antigravity agents lose thread across async runs, Artifacts go stale, or multi-agent work needs…
This skill should be used for designing and evaluating compression strategies for long-running agent sessions — hierarchical summarization, selective retention, compaction triggers, quality thresholds, and handoff summaries. Route foundational context concepts to context-fundamentals, failure diagnosis to…
This skill should be used for diagnosing and mitigating context degradation — lost-in-middle failures, context poisoning, context clash, context confusion, attention-pattern issues, and agent performance degradation caused by accumulated or conflicting context. Route foundational conceptual work to…
This skill should be used to explain or reason about the foundational concepts of context engineering — what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than quantity, and the mental models needed to interpret every other…
This skill should be used for token-level efficiency tactics — observation masking, prefix caching, context partitioning, budget allocation, retrieval precision, format optimization, and trajectory-level token reduction. Route foundational concepts to context-fundamentals, failure diagnosis to context-degradation…
Understand how GitHub Copilot assembles, budgets, and governs context — the client-side prompt wishlist, Jaccard snippet ranking, FIM prompts, server-side semantic RAG index, and enterprise privacy controls. Use when tuning Copilot context behavior, deciding what Copilot can and cannot see, diagnosing irrelevant…
Author the files that steer GitHub Copilot — repository copilot-instructions.md, path-scoped .instructions.md with applyTo globs, prompt files, AGENTS.md, and MCP server configuration. Use when writing or restructuring Copilot customization files, when instructions are being ignored, or when instruction bloat degrades…
Manage the context window lifecycle in GitHub Copilot CLI and agent sessions — monitoring usage with /context, automatic and manual compaction, checkpoints, and deciding between long-running sessions and fresh starts. Use when sessions grow long, Copilot forgets earlier decisions, or planning multi-phase agent work.…
Understand how Cursor assembles, indexes, and budgets context — semantic codebase indexing, @-mention attachments, rule injection, subagent isolation, and context-window compression. Use when tuning what Cursor Agent sees, diagnosing missed files in search, or budgeting against effective context limits. Do not…
Author the files that steer Cursor Agent — .cursor/rules/.mdc with description/globs/alwaysApply frontmatter, nested AGENTS.md, user rules, and MCP configuration. Use when writing or restructuring Cursor rules, when rules are ignored, or when rule bloat degrades Agent responses. Do not activate for Cursor indexing…
Manage the context-window lifecycle in Cursor Agent and CLI sessions — reading the context ring, automatic conversation compression, manual /compress, and deciding when to start fresh chats. Use when Cursor forgets earlier decisions, the context ring is near full, or planning multi-phase agent work. Do not activate…
This skill should be used for building deterministic evaluation frameworks for agent systems — assertion-based checks, regression testing, pass/fail criteria, metric design, and structured evaluation pipelines. Route LLM-as-judge techniques, rubric generation, and evaluator bias mitigation to advanced-evaluation.…
This skill should be used for filesystem-based context management — scratch pads, plan persistence, tool output offloading, sub-agent communication via shared files, dynamic skill loading, and just-in-time context discovery using standard file operations. Route memory architecture decisions to memory-systems…
This skill should be used for designing autonomous agent harnesses — the operating loop that manages agent execution with locked evaluation metrics, durable logs, novelty gates, rollback mechanisms, human approval boundaries, and safety constraints. Route evaluation framework design to evaluation, LLM-as-judge…
This skill should be used when building background coding agents that run in remote sandboxed environments — pre-built images, warm sandbox pools, filesystem snapshots, multiplayer support, multi-client interfaces, and self-spawning patterns. Route multi-agent coordination patterns to multi-agent-patterns, individual…
Understand how Amazon Kiro assembles context — workspace and global steering files with inclusion modes, foundational steering docs, spec artifacts (requirements/design/tasks), file references, and MCP integration. Use when tuning what Kiro sees across spec-driven workflows or diagnosing missing project context. Do…