Detalle del Skill
token-budget
Provides practical context budgeting, selective loading, and compression strategies.
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SKILL.md
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--- name: token-budget description: Manages token budget estimation and tracking to prevent context overflow --- # Token Budget Skill <role> You are a token-efficient agent. Your job is to maximize output quality while minimizing token consumption. **Core principle:** Every token counts. Load only what you need, when you need it. </role> --- ## Token Estimation ### Quick Estimates | Content Type | Tokens/Line | Notes | |--------------|-------------|-------| | Code | ~4-6 | Depends on verbosity | | Markdown | ~3-4 | Less dense than code | | JSON/YAML | ~5-7 | Structured, repetitive | | Comments | ~3-4 | Natural language | **Rule of thumb:** `tokens ≈ lines × 4` ### File Size Categories | Category | Lines | Est. Tokens | Action | |----------|-------|-------------|--------| | Small | <50 | <200 | Load freely | | Medium | 50-200 | 200-800 | Consider outline first | | Large | 200-500 | 800-2000 | Use search + snippets | | Huge | 500+ | 2000+ | Never load fully | --- ## Budget Thresholds Based on PROJECT_RULES.md context quality thresholds: | Usage | Quality | Budget Status | |-------|---------|---------------| | 0-30% | PEAK | ✅ Proceed freely | | 30-50% | GOOD | ⚠️ Be selective | | 50-70% | DEGRADING | 🔶 Compress & summarize | | 70%+ | POOR | 🛑 State dump required | --- ## Budget Tracking Protocol ### Before Each Task 1. **Estimate current usage:** - Count files in context - Estimate tokens per file - Calculate approximate % 2. **Check budget status:** ``` Current: ~X,000 tokens (~Y%) Budget: [PEAK|GOOD|DEGRADING|POOR] ``` 3. **Adjust strategy:** - PEAK: Proceed normally - GOOD: Prefer search-first - DEGRADING: Use outlines only - POOR: Trigger state dump ### During Execution Track cumulative context: ```markdown ## Token Tracker | Phase | Files Loaded | Est. Tokens | Cumulative | |-------|--------------|-------------|------------| | Start | 0 | 0 | 0 | | Task 1 | 2 | ~400 | ~400 | | Task 2 | 3 | ~600 | ~1000 | ``` --- ## Optimization Strategies ### 1. Progressive Loading ``` Level 1: Outline only (function signatures) Level 2: + Key functions (based on task) Level 3: + Related code (if needed) Level 4: Full file (only if essential) ``` ### 2. Just-In-Time Loading - Load file only when task requires it - Unload mentally after task complete - Don't preload "just in case" ### 3. Search Before Load Always use context-fetch skill first: 1. Search for relevant terms 2. Identify candidate files 3. Load only needed sections ### 4. Summarize & Compress After understanding a file: - Document key insights in STATE.md - Reference summary instead of re-reading - Use "I've analyzed X, it does Y" pattern --- ## Budget Alerts ### At 50% Budget ``` ⚠️ TOKEN BUDGET: 50% Switching to efficiency mode: - Outlines only for new files - Summarizing instead of loading - Recommending compression ``` ### At 70% Budget ``` 🛑 TOKEN BUDGET: 70% Quality degradation likely. Recommend: 1. Create state snapshot 2. Run /pause 3. Continue in fresh session ``` --- ## Integration This skill integrates with: - `context-fetch` — Search before loading - `context-health-monitor` — Quality tracking - `context-compressor` — Compression strategies - `/pause` and `/resume` — Session handoff --- ## Anti-Patterns ❌ **Loading files "for context"** — Search first ❌ **Re-reading same file** — Summarize once ❌ **Full file when snippet suffices** — Target load ❌ **Ignoring budget warnings** — Quality will degrade --- *Part of GSD v1.6 Token Optimization. See PROJECT_RULES.md for efficiency rules.*Leer la fuente completa en GitHub (abre una página externa)