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Generates llms.txt and llms-full.txt files for LLM-friendly project documentation following the llms.txt specification.
Passed 16 of 21 test cases with the skill, and 10 of 21 without it.
and 5 more in the full report
8 fixed9 passed either way4 still failing1 broke
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 starting the generation process for AI documentation indexes across a repository, what git operations must be executed at the very beginning before producing markdown output?
| Checked | Without skill | With skill |
|---|---|---|
| Runs git commands to query remote origin URL and current branch name. | Missed | Passed |
The instructions your model reads when the skill loads.
Generate llms.txt and llms-full.txt files that provide LLM-friendly access to wiki documentation, following the llms.txt specification.
llms.txt or mentions the llms.txt standardllms-full.txt or context-expanded documentationBefore generating, resolve the source repository context:
git remote get-url originREPO_URLgit rev-parse --abbrev-ref HEADThe file follows the llms.txt specification:
# {Project Name}
> {Dense one-paragraph summary — what it does, who it's for, key technologies}
{Important context paragraphs — constraints, architectural philosophy, non-obvious things}
## {Section Name}
- [{Page Title}]({relative-path-to-md}): {One-sentence description of what the reader will learn}
## Optional
- [{Page Title}]({relative-path-to-md}): {Description — these can be skipped for shorter context}
test cases passed, vs 10 / 21 without
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