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Analyzes your codebase and asks 3 targeted questions to recommend the right AI-assisted development methodology stack
Passed 12 of 20 test cases with the skill, and 7 of 20 without it.
and 6 more in the full report
8 fixed4 passed either way5 still failing3 broke4 errored
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
When inspecting a repository's team size during silent analysis, what git command is used to count unique contributor emails over the past 90 days?
| Checked | Without skill | With skill |
|---|---|---|
| The response specifies using git log with the --since="90 days ago" flag. | Passed | Passed |
| The response uses %ae to extract author email addresses. | Missed | Passed |
The instructions your model reads when the skill loads.
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 CLAUDE.md 2>/dev/null || cat claude.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 files exist?
find . -name "*.test.*" -o -name "*.spec.*" -o -name "*_test.*" -o -name "test_*.py" \
2>/dev/null | grep -v node_modules | grep -v ".git" | wc -l
# Test framework hints
grep -rn --include="*.json" --include="*.toml" --include="*.yaml" \
test cases passed, vs 7 / 20 without
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