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Guide creation of minimum viable agentic layer for a codebase.
Passed 23 of 25 test cases with the skill, and 9 of 25 without it.
and 12 more in the full report
15 fixed9 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
When the `/chore` command template executes, into which relative directory path does it write the resulting task plan specification?
| Checked | Without skill | With skill |
|---|---|---|
| specs/ | Missed | Passed |
The instructions your model reads when the skill loads.
Guide teams through creating the essential agentic layer components to start agentic coding.
"For your minimum viable agentic layer, you really only need these pieces: AI developer workflow directory, prompts, and plans."
project/
├── specs/ # Plans for agents
│ └── (generated plans go here)
├── .claude/
│ └── commands/ # Agentic prompts
│ ├── chore.md # Chore planning
│ └── implement.md # Implementation HOP
└── adws/ # AI Developer Workflows
├── adw_modules/
│ └── agent.py # Core execution
└── adw_chore_implement.py # Gateway script
Total: 4-5 files to bootstrap.
mkdir -p specs
mkdir -p .claude/commands
test cases passed, vs 9 / 25 without
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