Claude-skill-registry dynamic-budget-orchestrator
Dynamically scale model token budgets using resource telemetry, prompt size, and profile presets. Use when token limits must adapt to hardware constraints, per-request size, or safe/fast/quality modes.
install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/dynamic-budget-orchestrator" ~/.claude/skills/majiayu000-claude-skill-registry-dynamic-budget-orchestrator && rm -rf "$T"
manifest:
skills/data/dynamic-budget-orchestrator/SKILL.mdsource content
Dynamic Budget Orchestrator
Use this skill to make LLM token limits elastic to local resources and request size.
Workflow
- Capture RAM and VRAM snapshot (best effort).
- Estimate prompt size and compute a prompt-based cap.
- Apply a profile factor (safe, fast, balanced, quality).
- Clamp to min/max and emit an effective token budget.
Scripts
- Run: python skills/automation/dynamic-budget-orchestrator/scripts/probe_budget.py
References
- references/profile_presets.json