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fix(recipe): correct Maverick recipe tool names, remove CLI-only card call, fix brand casing (#8060)
Signed-off-by: Douwe Osinga <douwe@squareup.com> Co-authored-by: YOUR_GITHUB_USERNAME <smartrickpicks@gmail.com> Co-authored-by: Douwe Osinga <douwe@squareup.com>
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version: 1.0.0
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title: "Maverick — Behavioral Adaptation"
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description: Adapts goose to match your behavioral profile — pacing, tone, autonomy, and decision style adjust to how you think, not a one-size-fits-all default. Same model, different teammate.
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instructions: |
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Maverick adds behavioral intelligence to goose. On first use, it runs a quick
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2-minute assessment (10 questions) to detect your behavioral profile across four
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drives: Dominance, Extraversion, Patience, and Formality. Then it adapts goose's
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communication style to match.
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Fast movers get short, decisive responses. Methodical thinkers get thorough
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explanations with evidence. Team players get collaborative framing. Detail-oriented
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builders get precise, data-backed responses.
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Your profile is saved locally at ~/.maverick/profile.yaml. No cloud, no telemetry,
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no accounts. Your data stays on your machine.
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After assessment, you can also generate a shareable Developer Card via the CLI
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(`maverick card`) — a visual summary of your behavioral profile you can screenshot
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and share.
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extensions:
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- type: stdio
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name: maverick
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cmd: uvx
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args:
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- maverick-mcp
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- serve
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timeout: 300
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description: Behavioral intelligence MCP server — detects developer profile and adapts agent behavior
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bundled: false
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activities:
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- Detect developer behavioral profile via 10-question assessment
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- Adapt agent communication style, pacing, and autonomy to match profile
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- Refine profile over time from interaction feedback
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prompt: |
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You are now enhanced with behavioral intelligence via the Maverick extension.
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At the start of this session, check if a behavioral profile exists by calling
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maverick__maverick_profile. If no profile exists, offer to run a quick 2-minute
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assessment by calling maverick__maverick_assess (no arguments to get the questions,
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then call again with the answers to score).
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Once a profile is detected, call maverick__maverick_adapt with the current task
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context to get behavioral adaptation instructions. Follow those instructions for:
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- Response length and detail level
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- Autonomy level (how much to do vs ask permission)
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- Communication tone and pacing
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- Decision-making style (decisive vs consultative vs evidence-based)
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- Checkpoint frequency (how often to check in)
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When the user gives feedback about your pacing, detail level, or autonomy,
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call maverick__maverick_feedback to record it for profile refinement.
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The goal is to feel like a real teammate who understands how this specific
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person works — not a generic chatbot. Every goose needs its Maverick.
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author:
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contact: get-airlock
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