27 tagged agent engineering, measured the same way as everything else here.
Browse within: Multi-Agent 12Orchestration 12github-copilot 12orchestration-systems 12
Skill Claude CodeCodex
A foundational meta-agent skill for generating Multi-Agent Systems (MAS). It systematically drives the process from conceptual task decomposition to agent engineering, and finally to workflow orchestration.
Skill Claude CodeCodexCursor
Use when a repository task needs a strict ControlFlow-style implementation plan before coding, especially for small, medium, or large scope, cross-file edits, risky migrations, architectural uncertainty, or any work that should produce a saved Markdown plan artifact in plans/.
Skill Claude CodeCodexCursor
Use when a task broadly matches ControlFlow for Codex and you need to decide whether to start with spec capture, strict workflow, strict planning, pre-execution plan review, orchestration, code review, or memory hygiene, or whether to combine several of those skills in sequence.
Skill Claude CodeCodex
Use when a repository task needs a high-quality ControlFlow plan before coding — small, medium, or large scope, cross-file edits, risky migrations, architectural uncertainty, or any work that should produce a saved Markdown plan artifact in plans/. Single-sources the plan format from schemas/planner.plan.schema.json…
Skill Claude CodeCodex
Build automated evaluations for an AI agent from scratch: collecting tasks from real failures, choosing code/model/human graders, picking pass@k vs pass^k, building an isolated harness, and keeping the suite honest over time. Use this whenever someone wants to measure, benchmark, or regression-test an agent, write an…
Skill Claude CodeCodex
Stop the machine from deciding your benchmark. Configure and validate the container and runtime resources for an agentic coding eval so infrastructure noise stays inside statistical bounds instead of swinging scores more than the models do. Use this whenever someone runs SWE-bench or any agentic coding benchmark in…
Skill Claude CodeCodex
Decide where an agent should reason during a task and how to prompt for it. Covers three places a model can think and how to choose between them: extended thinking before the turn, interleaved thinking between tool calls, and the no-op "think" tool that logs reasoning mid-chain at a point you pick. Also covers when a…