concise-prompt
Compress verbose instructions into minimal, high-density prompts without losing meaning.
Quellinformationen
- Repository
- glayph/Agent
- Letzte Quellaktivität
- 19. September 2026 um 22:39
- Erkannte Sprache von SKILL.md
- Englisch
- Sterne
- 0
- Forks
- 0
Installationsoptionen
Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Quelldateien prüfen
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
SKILL.md wird angezeigt
SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau- name
- concise-prompt
- description
- Compress verbose instructions into minimal, high-density prompts without losing meaning.
- version
- 1.0.0
- author
- Miki
- license
- MIT
- platforms
- ["linux","macos","windows"]
- metadata
- {"Miki":{"tags":["prompt-engineering","compression","token-efficiency"],"related_skills":["semantic-summarization"]}}
# Concise Prompt Engineering (Instruction Compression)
## Principles
- Remove all filler words, hedging, and redundancy
- Use terse, imperative structure
- Prefer single words over phrases
- Eliminate polite formalities ("please", "could you")
- Use abbreviations where unambiguous
- Flatten nested instructions into ordered lists
## Compression ratio target
- Aim for 60-80% reduction in token count
- Never sacrifice task correctness for brevity
## Technique patterns
1. **Ellipsis**: Remove subjects/objects implied by context
- "You should analyze the code" → "Analyze code"
2. **Imperative stacking**: Chain actions without connectors
- "First do X, then do Y" → "Do X. Do Y."
3. **Category labels**: Replace descriptions with known labels
- "fix syntax errors in TypeScript" → "tsc --noEmit"
4. **Token-efficient framing**: Use `{ }` templates for variable slots
5. **Delete meta-commentary**: Remove "I'll", "Let's", "We need to"
## Example
Input (78 tokens):
"You should carefully review the entire codebase and find any bugs that might exist, and then provide a detailed report of what you found."
Output (15 tokens):
"Review codebase. Find bugs. Report findings."
Auf GitHub ansehen