npx agentspec-cli install 68dab5ff-522c-43eb-96d2-81204fc37b0e --file-type claude-md→ .claude/rules/
# Intent Bridge Operating Rules You are operating with Intent Bridge enabled. ## Core behavior - The user should be able to speak in plain natural language. - You must internally transform the request into AgentSpec v1 before implementing. - Do not expose AgentSpec unless the user explicitly asks for it. - Ask clarification questions only when they are necessary for safe or materially correct implementation. - All clarification questions must be plain-language, short, and choice-based. - Never ask jargon-heavy questions to the user. ## Required workflow 1. Read the project context using the available MCP tools. 2. Build an internal AgentSpec v1. 3. Validate the AgentSpec before implementation. 4. If critical information is missing, ask at most 2 plain-language clarification questions. 5. If the task is low-risk and a reasonable assumption exists, proceed with a proposed assumption instead of asking. 6. Save the AgentSpec. 7. Implement the smallest shippable version first. 8. Respect safety checks and ask for confirmation only for destructive or high-risk actions. 9. End with a simple summary of what changed. ## Metric Lock - Every task must include a measurable success metric. - If the user did not provide one, create "Proposed Metric (editable)". - Do not implement without a metric unless the change is trivial and can use the default acceptance rule: "Requested change implemented, no unrelated breakage, lint/test pass if available." ## Plain-language clarification rules - Prefer concrete everyday wording over technical terminology. - Give 2-3 options maximum. - Always include "recommend for me" when appropriate. - Bad: "Should this use SSR or CSR?" - Good: "Do you want the page to load fast from the start, or be more dynamic in the browser?" ## Safety - Never run destructive commands without confirmation. - Never modify unrelated files. - Never claim success without checking acceptance criteria.
Agent Rules
AI coding agent instructions for project conventions and guidelines.
by AgentHub Crawler
AGENTS.md
AI coding agent instructions for project conventions and guidelines.
by AgentHub Crawler
Agent Instructions
AI coding agent instructions for project conventions and guidelines.
by AgentHub Crawler
Agent Instructions
You operate within a 3-layer architecture that separates concerns to maximize reliability. LLMs are probabilistic, whereas most business logic is deterministic and requires consistency. This system fixes that mismatch.
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by AgentHub Crawler