Runtime context compression for agents approaching model context limits. Defines 3 compression tiers (full/summarized/minimal) with per-artifact templates. USE FOR: reducing artifact loading size at runtime, context budget management. DO NOT USE FOR: diagnostic context auditing (use context-optimizer), Azure infrastructure.
Scanned 5/27/2026
Install via CLI
openskills install jonathan-vella/bmit-2026---
name: context-shredding
description: "Runtime context compression for agents approaching model context limits. Defines 3 compression tiers (full/summarized/minimal) with per-artifact templates. USE FOR: reducing artifact loading size at runtime, context budget management. DO NOT USE FOR: diagnostic context auditing (use context-optimizer), Azure infrastructure."
---
# Context Shredding Skill
Runtime compression system that actively reduces context when agents approach
model limits. Agents check approximate context usage before loading artifact
files and select the appropriate compression tier.
## When to Use
- Before loading a predecessor artifact file (01 through 07)
- When conversation length suggests >60% of model context is used
- When an agent needs to load multiple large artifacts
## Compression Tiers
| Tier | Context Usage | Strategy |
| ------------ | ------------- | ------------------------------------------ |
| `full` | < 60% | Load entire artifact — no compression |
| `summarized` | 60-80% | Load key H2 sections only |
| `minimal` | > 80% | Load decision summaries only (< 500 chars) |
## Action Rules
Before loading any artifact file:
1. **Estimate context usage** — count approximate conversation tokens
2. **Select tier** based on the thresholds above
3. **Apply compression template** from the reference doc below
4. If loading multiple artifacts, compress the older/less-critical ones first
## Tier Selection Protocol
```text
1. Estimate current context usage (rough: 1 token ≈ 4 chars)
2. Check model limit (Opus: 200K, GPT-5.3-Codex: 128K)
3. Calculate usage percentage
4. Select tier:
< 60% → full (no compression needed)
60-80% → summarized (key sections only)
> 80% → minimal (decision summaries only)
5. Load artifact/skill using the appropriate variant
```
## Skill Loading Tiers
Skills also have compression tiers (digest and minimal variants):
| Context Usage | Skill Variant | Path Pattern | Approx Tokens |
| ------------- | ------------- | ------------------ | ------------- |
| < 60% | Full | `SKILL.md` | 400-800 |
| 60-80% | Digest | `SKILL.digest.md` | 150-320 |
| > 80% | Minimal | `SKILL.minimal.md` | 40-100 |
Available for: `azure-defaults`, `azure-artifacts`, `session-resume`,
`golden-principles`, `context-shredding`.
## Reference Index
| Reference | File | Content |
| --------------------- | ------------------------------------- | --------------------------------- |
| Compression Templates | `references/compression-templates.md` | Per-artifact H2 sections per tier |
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