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Agent Operation Driven Development (AODD)

Agent Operation Driven Development places an autonomous agent's real-world interaction logs at the center of product improvement, treating friction points where the agent gets stuck as development sig

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Install in one line

mfkvault install agent-operation-driven-development-aodd

Requires the MFKVault CLI. Prefer MCP?

Install for your agent

Pick your agent → choose your OS → copy the command. The CLI does both steps for you.

Recommended · MFKVault CLI
Works on all agents
npx mfkvault install agent-operation-driven-development-aodd

Requires MFKVault CLI — writes skill.md to the right folder for the agent you pick.

Manual install
cp skill.md "~/.claude/skills/agent-operation-driven-development-aodd/"

Assumes you already have skill.md in your working directory. Need it? See the curl alternative below.

curl alternative · one-shot download + install
mkdir -p "~/.claude/skills/agent-operation-driven-development-aodd" && curl -fsSL https://raw.githubusercontent.com/Koh0920/aodd/main/SKILL.md -o "~/.claude/skills/agent-operation-driven-development-aodd/skill.md"

Third-party skill — review the source, license, and security before installing. Folders default to ~/.claude/skills/agent-operation-driven-development-aodd/.

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🤖 Claude Code Cursor💻 Codex🦞 OpenClaw
This helper was discovered by MFKVault crawlers from public sources. Original author retains all rights. To request removal: [email protected]
Community helper
This helper was discovered by MFKVault crawlers from public sources. MFKVault does not create, maintain, or guarantee the output of this helper. Results are AI-generated and may be incomplete, inaccurate, or outdated. Use at your own risk. Original author retains all rights. Request removal
FREE

Free to install — no account needed

Copy the command below and paste into your agent.

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What you get in 5 minutes

  • Full skill code ready to install
  • Works with 4 AI agents
  • Lifetime updates included
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Description

Agent Operation Driven Development places an autonomous agent's real-world interaction logs at the center of product improvement, treating friction points where the agent gets stuck as development signals rather than test failures. Use this when you need to discover usability gaps, onboarding friction, or end-to-end feasibility issues by having an agent attempt actual user workflows through the real product interface and documenting where it struggles or hesitates. It's most valuable for prioritizing fixes based on genuine user experience rather than assertion-based testing or reproducing know

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Attribution

This skill was discovered by an automated crawler from a public GitHub repository. The original author retains all rights. MFKVault shows a short, AI-generated summary — not the original content — to help users find it.

View original on GitHub →

License: MIT

If you are the author and want this removed, contact [email protected]. We will remove it within 24 hours.