Agent skill · software engineering · github
tiny-stepping
Incremental development workflow that makes the smallest meaningful change per step and pauses for feedback, so the direction gets validated early before continuing. Use for careful, iterative implementation with continuous validation.
Why this skill is useful
Codifies an incremental development workflow that helps the AI suggest structured, iterative implementation processes.
What it needs
About 1k tokens when loaded. Last updated 2026-08-07. 37,534 stars on the source repository.
What this skill does
Tiny Stepping Drive implementation in the smallest possible meaningful increments, pausing for feedback after each step so the work stays reviewable and easy to course-correct. Purpose Make the smallest possible meaningful change at each step Get user feedback after every step before proceeding Reduce risk of going in the wrong direction Keep changes reviewable and easy to understand Workflow 1. Agree on the next tiny step 2. Implement only that step — nothing more 3. Review uncommitted changes together to verify the step looks right 4. Short check-in: is this the right direction? 5. Commit the step before moving on 6. Agree on the next step 7. Repeat Principles One concern per step — don't mix unrelated changes Each step should be independently understandable Prefer compiling/working state after each step Don't anticipate future steps — wait for feedback first If a step feels too big, split it further
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills github/tiny-stepping