token-optimization
Token economy and context optimization. Use when seeking to minimize token consumption or the context exceeds 60%.
Source facts
- Repository
- dabydat/alpha-omega
- Last source activity
- September 25, 2026 at 06:21
- Detected SKILL.md language
- English
- Stars
- 1
- Forks
- 0
Install options
The review-first prompt is selected by default. You can switch to a direct command or download a local copy.
Review the source files
Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.
Showing SKILL.md
SKILL.md
Source instructions · Read-only preview- name
- token-optimization
- description
- Token economy and context optimization. Use when seeking to minimize token consumption or the context exceeds 60%.
# neuron: token-optimization
- triggers_when: seeking to save tokens or the context exceeds 60% of the limit
- tier: T1
- budget: 300 tokens
- eval: context <=60% and no repeated context -> threshold 1
- reward: pheromone +1 if eval >= threshold
## Procedure
1. Never repeat context: use memory/STATE.md, AGENTS.md and diagrams.
2. Prefer diagrams over text (5x fewer tokens).
3. Use short prompts with file references.
4. Always update memory/STATE.md when finishing.
5. Compact when exceeding 60% or changing phase.
## Checklist
- [ ] Context in files, not repeated in the prompt
- [ ] Diagrams for complex flows
- [ ] One task per prompt
- [ ] Explicit response format; memory/STATE.md updated
## Pitfalls
- Pasting complete files when one section suffices
- Re-explaining context already in memory/STATE.md
- Not compacting on multi-day tasks
View on GitHub