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Analyzes your codebase and asks 3 targeted questions to recommend the right AI-assisted development methodology stack
Passed 7 of 15 test cases with the skill, and 7 of 15 without it.
and 1 more in the full report
3 fixed8 passed either way9 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
Where should users be directed if they want to explore interactive methodology comparisons or full documentation?
| Checked | Without skill | With skill |
|---|---|---|
| Includes the link https://cc.bruniaux.com/methodologies/. | Missed | Passed |
| Includes the link https://cc.bruniaux.com/guide/methodologies/. | Missed | Passed |
The instructions your model reads when the skill loads.
Use this skill when the user asks to run the migrated source command methodology-advisor.
Analyze this project and recommend the best AI-assisted development methodology stack. Read what you can from the codebase first, then ask only what you cannot infer.
Time: 2-4 minutes | Output: One recommended stack + contextual quick start
Run these reads silently. Do not output results yet — build an internal picture only.
# Config files
cat AGENTS.md 2>/dev/null || cat AGENTS.md 2>/dev/null
cat package.json 2>/dev/null | grep -E '"name"|"description"|"scripts"' | head -10
cat Cargo.toml 2>/dev/null | grep -E '^name|^description' | head -5
cat pyproject.toml 2>/dev/null | grep -E '^name|^description' | head -5
cat go.mod 2>/dev/null | head -3
# Unique contributors in last 90 days
git log --since="90 days ago" --format="%ae" 2>/dev/null | sort -u | wc -l
# Total commits
git log --oneline 2>/dev/null | wc -l
test cases passed, vs 7 / 15 without
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