sparq:prompt-optimizations
sparq:prompt-optimizations is a Prompt design & optimisation skill for AI agents, published by STUkh in the sparq-assistant repository on GitHub. Skillspace rates sparq:prompt-optimizations D (67/100) and it passed the safety scan; the rating is based on static analysis only.
Advanced prompt optimization for Claude Code agents. Token budgeting, context engineering, Claude 4.6 specifics, data format selection, and prompt compression. Use when writing or refining skills, CLAUDE.md rules, multi-agent prompts, or debugging verbose/irrelevant output. Complements base formatting rules in CLAUDE.md.
- Grade
- D
- Quality
- 67 / 100
- Safety
- Passed
- GitHub stars
- 27
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
- 93 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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
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