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Changelog
Sami Bajwa edited this page Jun 1, 2026
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Full version history and upcoming roadmap for Token Optimizer Skill.
- 5 Pillars of Token Optimization fully documented
- Pillar 1: Prompt Compression with shorthand syntax
- Pillar 2: Output Format Control with anti-filler instructions
- Pillar 3: XML Tag Structuring for precision prompting
- Pillar 4: Instruction Density and task bundling
- Pillar 5: Negative Space Instructions
- One-Shot Example Pattern
- Context Management overview
- Quick Reference Card — 34-token formula
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compression-patterns.md— 50+ shorthand patterns across 6 categories -
output-formats.md— 10 format templates + Universal Anti-Filler Block -
system-prompt-templates.md— 10 production-ready system prompts (all under 200 tokens) -
one-shot-examples.md— Ready-made examples for 10 domains -
context-management.md— 7 context pruning techniques with token cost analysis
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before-after.md— 20 real prompt comparisons with token counts - Average savings: 65%
- Output quality maintained or improved in all 20 cases
- Star-Required License
- README.md with full colorful documentation
- CONTRIBUTING.md
- CHANGELOG.md
- SECURITY.md
- SUPPORT.md
- CODE_OF_CONDUCT.md
- FAQ.md
- ACKNOWLEDGEMENTS.md
- CITATION.cff
- FUNDING.yml — Sponsor button
- Issue templates (bug report + feature request)
- PR template
- GitHub Actions star reminder workflow
- benchmarks/ — token counts + methodology
- assets/banner.png
- 10 more before/after examples (API and agent-focused)
references/chain-of-thought-optimization.md- Multi-model comparison (Claude vs GPT vs Gemini prompt differences)
- Token counting utilities reference
references/agentic-prompt-patterns.md- System prompt templates extended to 20 domains
- benchmarks/ folder expanded with community-verified measurements
- Community-contributed compression patterns
- Skill split into modular sub-skills by domain
- Interactive prompt optimizer tool (HTML artifact)
- Community-validated pattern ratings
- Multi-language support for non-English prompting patterns
Have a feature idea? Open a Feature Request or join the discussion on the WhatsApp Channel.
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