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Full-cycle AI coding skill: plans, builds, tests, lints, fixes bugs, and writes production-grade docs. Auto-detects project state and adapts its 8-phase pipeline.
Passed 15 of 21 test cases with the skill, and 13 of 21 without it.
3 fixed13 passed either way5 still failing1 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.
The initial bug fix attempted in `src/utils/parser.ts` failed the test suite on the second build attempt. What action should be taken for this second strike?
| Checked | Without skill | With skill |
|---|---|---|
| Re-reads the surrounding source code and tries an alternative technical approach | Missed | Passed |
The instructions your model reads when the skill loads.
Squirrel is a full-cycle AI coding skill that works across 9 AI coding agents. It auto-detects project state (greenfield, in-progress, or mature) and adapts its 8-phase engineering pipeline accordingly. Instead of a one-size-fits-all workflow, it figures out where the project actually is and jumps in at exactly the right point.
Squirrel classifies the project directory:
| Signal | Mode | Entry Point |
|---|---|---|
| Empty directory | Greenfield | All 8 phases from scratch |
| Source files, no tests/docs | In-Progress | Audit first, then improve |
| Source + tests + CI + README | Mature | Targeted improvements |
| "fix this bug / add feature" | Targeted | Scoped work only |
test cases passed, vs 13 / 21 without
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