gabrielmoreira Prompt Token Efficiency
Use this skill to compress prompts while preserving intent and output quality.
Goals
- Minimize token count
- Maximize clarity
- Minimize ambiguity
- Optimize for LLM execution, not human prose style
Core Rules
- Keep only task-critical information.
- Remove pleasantries, repetition, and narrative framing.
- Prefer short, concrete instructions over descriptive paragraphs.
- Use explicit constraints and output format requirements.
- Use stable terminology (one term per concept).
- Replace vague words (
appropriate,some,better) with measurable criteria. - Put required context before optional context.
- Avoid conflicting instructions.
Prose Compression Pattern
Rewrite prose to be direct and compact:
- Start with the objective in one short sentence.
- Keep only facts needed to complete the task.
- Replace long qualifiers with concrete limits.
- Remove filler words that do not change behavior.
- End with explicit success criteria.
LLM-Optimized Writing Style
- Use imperative statements.
- Prefer bullets over long prose.
- Keep each instruction atomic.
- Avoid examples unless needed to prevent failure.
- If examples are required, include one minimal example.
Ambiguity Checks
Before finalizing a prompt, verify:
- Any undefined noun is resolved.
- Any pronoun has a clear antecedent.
- Scope limits are explicit (time range, file range, quantity limits).
- Success criteria are testable.
- Output format is unambiguous.
Prose Rewrite Checks
When rewriting, ensure the final prompt:
- Uses fewer words than the original.
- Preserves all required constraints.
- Uses concrete nouns instead of pronouns where possible.
- Avoids optional wording unless options are actually allowed.
- States required output and any length bound in plain language.