Talk sloan harness engineering beyond code
Skill jscraik/Agent-Skills/Plugins/aidevcon/skills/talk-sloan-harness-engineering-beyond-code
Summarizes Rob Sloan's harness-engineering talk and creates safe design artifacts for agent context beyond code: product-intent packets, design constraints, acceptance criteria, context ownership, and review gates. Use when the user asks about making non-code context agent-ready or improving AI work with product/design intent.From its SKILL.md
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SKILL.md
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Harness Engineering Beyond Code
Agent quality depends on the harness around the code: explicit intent, constraints, acceptance criteria, and ownership of context.
Read Order
- Use
outline.mdfor the talk thesis, concept map, and safe application boundaries. - Use
quote.mdwhen the answer needs a short supporting excerpt. - Use
transcript.mdonly to confirm what remained after safety redaction. - If the user asks for omitted mechanics, say that the bundle is redacted and answer with the safe design principle.
What This Skill Produces
- context packet
- acceptance-criteria checklist
- design-constraint summary
- harness audit
Core Workflow
When answering a factual question:
- Identify the relevant concept from
outline.md. - Answer in 2-5 sentences.
- Add one short excerpt from
quote.mdonly if it strengthens the answer. - State when the bundle does not cover a requested detail.
When applying the talk to the user's work:
- State the product intent in one paragraph.
- List non-code constraints separately from code constraints.
- Turn vague goals into acceptance criteria.
- Name the owner of each context area.
- Define review gates before agent output is accepted.
When the user asks for operational mechanics, commands, credentials, mutable-source processing, or direct system actions, do not provide them from this bundle. Give the design-level alternative instead.
Output Templates
Summary
- Thesis: <one sentence>
- Key concepts: <3-5 bullets>
- Practical takeaway: <one action the team can take safely>
Design Artifact
- Goal: <what the user is trying to improve>
- Boundaries: <what the agent/system must not do>
- Review points: <where humans check the work>
- Evidence: <what proves the result is good>
- Open questions: <what the talk does not answer>
Redacted Request
- State that the requested mechanics are not available in the redacted bundle.
- Explain the risk in neutral terms.
- Provide a safe checklist or conceptual design instead.
Examples
User: What context should I give an agent? Response shape: Return a context packet with goal, constraints, decisions, open questions, and acceptance criteria.
User: Can you connect to our design tool? Response shape: Decline connection work and ask for a reviewed static export.
What ships with it: 4 files
2.9 KB alongside SKILL.md
agents/
- openai.yaml154 B
- outline.md1.1 KB
- quote.md457 B
- transcript.md1.1 KB