uft-llm-prompt-engineering

uft-llm-prompt-engineering is a Prompt design & optimisation skill for AI agents, published by Axel051171 in the UnifiedFloppyTool repository on GitHub. Skillspace rates uft-llm-prompt-engineering D (61/100) and it passed the safety scan; the rating is based on static analysis only.

Use when crafting prompts for an LLM to work effectively on UFT — for Claude Code sessions, Claude Chat reviews, GPT-4 PR reviews, or any LLM you brief on a UFT task. Trigger phrases: "prompt für ML decoder review", "wie briefe ich Claude für hotpath optimization", "system prompt UFT", "agent prompt", "prompt engineering für UFT review", "reviewer prompt format". Templates that channel AI_COLLABORATION.md rules into ready-to-paste prompts. DO NOT use for: writing code itself (different skills), prompt engineering for unrelated projects (this is UFT-specific), conversational chat without a task (just talk), hyperparameter tuning prompts for ML training (separate ops domain).

Grade
D
Quality
61 / 100
Safety
Passed
GitHub stars
33

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
76 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.