Design, evaluate, and improve agentic harnesses — the orchestration layer around LLM-powered tools, agents, assistants, copilots, workflow runtimes, and AI-driven product features. Use this skill whenever the user mentions building an agentic system, structuring tool use, adding permissions or approval gates, designing multi-step AI workflows, managing context windows or memory, making agents durable or resumable, evaluating or pressure-testing an existing harness, planning phased implementation for an AI product, reviewing agent architecture, improving agent UX or observability, or asking how to know if their harness is actually good. Also use when the user describes problems that imply harness gaps — like agents doing unexpected things, context getting stale, sessions not surviving crashes, tools running without permission, or costs spiraling — even if they do not use the word "harness."
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Use this skill as a router for designing, building, and evaluating agentic harnesses.
Read only the files you need. Do not load the entire reference set unless the request genuinely spans multiple subsystems.
Default posture:
Before routing, make sure you have enough to work with.
If the user is asking for a design, confirm you understand:
If the user is asking for an evaluation, you need access to the harness itself:
If the request is vague ("help me build an agent" or "is my harness any good"), ask one or two clarifying questions before proceeding. Do not stall the conversation with an interview — get enough to pick a mode and start.
Choose one mode before reading reference files.
designUse when the user is creating a new harness, planning a major rebuild, or asking for architecture, MVP, or implementation sequencing.
Default reads:
references/01-principles-and-solo-dev-defaults.mdreferences/02-harness-shapes-and-architecture.mdreferences/08-design-and-build-playbook.mdAdd subsystem files only as needed.
evaluationUse when the user already has a harness and wants gaps, risks, missing primitives, UX upgrades, or architectural cleanup.
Default reads:
references/01-principles-and-solo-dev-defaults.mdreferences/09-evaluation-and-improvement-playbook.mdAdd subsystem files only for the parts under review.
design + evaluationUse when the user wants a target architecture and a way to verify it, compare it with an existing system, or define acceptance criteria before building.
Default reads:
references/01-principles-and-solo-dev-defaults.mdreferences/02-harness-shapes-and-architecture.mdreferences/08-design-and-build-playbook.mdreferences/09-evaluation-and-improvement-playbook.mdDetermine the closest product shape before going deeper:
If the request is ambiguous, pick the closest shape and state the assumption.
Read these only when the request needs them:
references/01-principles-and-solo-dev-defaults.md
Use first for almost every request. It defines the default decision posture.references/02-harness-shapes-and-architecture.md
Read when choosing system shape, boundaries, lifecycle, transports, or deployment structure.references/03-tools-execution-and-permissions.md
Read when the request involves tool registries, tool calling, approval gates, sandboxes, or trust tiers.references/04-state-sessions-and-durability.md
Read when the request involves sessions, resumability, retries, idempotency, approval waits, or long-running work.references/05-context-memory-and-evaluation.md
Read when the request involves context windows, retrieval, memory, provenance, evals, replay tests, or regression detection.references/06-agents-and-extensibility.md
Read when the request involves multi-agent design, plugins, hooks, skills, or extension surfaces.references/07-ux-observability-and-operations.md
Read when the request involves streaming UX, health checks, logs, analytics, budgets, or supportability.references/08-design-and-build-playbook.md
Read when the user needs a build-ready plan from idea to implementation.references/09-evaluation-and-improvement-playbook.md
Read when the user needs findings, missing primitives, upgrade priorities, or acceptance tests.references/10-example-requests-and-output-patterns.md
Read when you need prompt examples or response structure examples.references/11-codex-translation-notes.md
Read only when adapting this Anthropic-style skill into a Codex-oriented version or when mapping concepts between the two environments.Do not rely on reference-to-reference chains. This file is the index.
designReturn:
evaluationReturn:
design + evaluationReturn:
6779106
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.