SkillCheatSheet
tlc-spec-driven
An AI agent skill from tech-leads-club/agent-skills, scored 83 out of 100 by code and Verified.
Code score by group
It loses the most points in Done criteria (11), the group that checks whether there is a checklist and a step that verifies the work.
What the author says it does
Feature planning and implementation with 4 adaptive phases (Specify, Design, Tasks, Execute). Auto-sizes depth by complexity. Asks every product decision before the spec is approved, writes testable requirements in EARS notation, atomic tasks with a gate and a commit each, and one check per criterion with the test that proves it. Captures that come with the request bind, and each screen is judged against them. Ships deterministic Python scripts so the gates are enforced by code, not memory; the project's own tests run once at the end, and an independent Verifier (author != verifier) judges ea…
This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.
- Repository
- tech-leads-club/agent-skills
- Folder
- packages/skills-catalog/skills/(development)/tlc-spec-driven
- License
- Not identified by GitHub
- GitHub stars
- 7,160
- SKILL.md lines
- 177
- Other files
- 19
Add tlc-spec-driven to your agent
npx skills add tech-leads-club/agent-skills --skill tlc-spec-drivenThe command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored. GitHub identifies no license for this repository, so check its terms before you use it.
Labelled for
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Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.