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llm-friendly-context

shinpr/ai-coding-project-boilerplateSkill

Clarifies inputs, outputs, success criteria, decisions, and unresolved conditions so downstream agents can execute without guessing. Use when writing or revising LLM-facing prompts, handoffs, planning artifacts, reviews, reports, or generated instructions.

ScannedSkillSource: GitHub
234 stars Updated 21d ago License MIT Context ≈69 tokens always loaded
62popular

Why this score

Stars10/35
Usage (forks)2/15
Upkeep25/25
License15/15
Owner history10/10

This repo hosts 10 skills, so its 234 stars are split between them (about 23 each) for scoring.

Popularity score: 62/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Oct 20, 2026 at commit e58f65cf9af3, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

Alternatives

Nothing from another maker does quite the same job yet.