
Context Compression
- 11 installs
- 8.1k repo stars
- Updated August 4, 2026
- vudovn/antigravity-kit
This is a copy of context-compression by vudovn - installs and ranking accrue to the original listing.
Helps with ai & agent building tasks.
About
context-compression is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.
- context-compression
- AI & Agent Building
- AI-coding skill
Context Compression by the numbers
- 11 all-time installs (skills.sh)
- +1 installs in the week ending Jul 27, 2026 (Skillselion tracking)
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 11 |
|---|---|
| repo stars | ★ 8.1k |
| Last updated | August 4, 2026 |
| Repository | vudovn/antigravity-kit ↗ |
What it does
Helps with ai & agent building tasks.
Files
Context Compression — Long Session Management
Keep sessions productive by compressing completed work while preserving key decisions.
Overview
Long sessions (30+ turns) cause context degradation — the AI loses track of earlier work, repeats itself, or forgets decisions. Context compression proactively summarizes completed phases so the context window stays focused on active work.
Token Impact: Recovers 5,000-15,000 tokens in long sessions by replacing verbose tool outputs with semantic summaries.
---
When to Compress
| Signal | Action |
|---|---|
| Session has 20+ turns | Consider proactive compression |
| Agent repeats earlier suggestions | Context is saturated — compress now |
| User says "we already discussed this" | Compress immediately |
| Switching to a new phase of work | Compress the completed phase |
| Large tool output (500+ lines) | Micro-compact the output |
---
Compression Levels
Level 1: Micro-Compact (Tool Output)
Compress individual tool outputs while retaining semantic content:
❌ Before (raw grep output — 200 lines, ~4,000 tokens):
src/auth/jwt.ts:15: import { verify } from 'jsonwebtoken'
src/auth/jwt.ts:23: export function validateToken(token: string) {
src/auth/jwt.ts:24: try {
src/auth/jwt.ts:25: const decoded = verify(token, SECRET)
... (195 more lines)
✅ After (micro-compact — 5 lines, ~100 tokens):
Grep results for "jwt": Found 8 files, 42 matches.
Key files: src/auth/jwt.ts (main JWT logic), src/middleware/auth.ts (middleware),
src/api/login.ts (token creation). Token validation at jwt.ts:23-40.
Error handling at jwt.ts:42-55. Secret loaded from env at jwt.ts:8.Level 2: Phase Summary
Replace a completed work phase with a summary:
❌ Before (full research transcript — ~3,000 tokens):
[turn 1] Read package.json...
[turn 2] Read src/index.ts...
[turn 3] Grep for "auth"...
[turn 4] Found 8 files related to auth...
[turn 5] Read src/auth/jwt.ts...
... (10 more turns of exploration)
✅ After (phase summary — ~200 tokens):
## Research Phase Complete
- Project: Next.js 15 app with JWT auth
- Auth files: 8 files in src/auth/, src/middleware/, src/api/
- Token flow: login → create JWT → store in httpOnly cookie → validate in middleware
- Bug location: src/auth/jwt.ts:45 — expiry check uses `<` instead of `<=`
- Decision: Fix the comparison operator, add edge case testLevel 3: Session Checkpoint
Full session summary for long-running work:
## Session Checkpoint (Turn 35)
### Completed
- [x] Researched auth system (8 files, JWT flow mapped)
- [x] Fixed token expiry bug in jwt.ts:45
- [x] Added edge case test in jwt.test.ts
- [x] Verified: all 42 tests passing
### In Progress
- [ ] Update API documentation
- [ ] Review related middleware
### Key Decisions
1. Keep httpOnly cookies (not localStorage) for token storage
2. Use `<=` for expiry check to include exact-moment expiry
3. Add 5-minute grace period for clock skew
### Files Modified
- src/auth/jwt.ts (line 45: comparison fix)
- tests/auth/jwt.test.ts (added 3 edge case tests)---
Compression Protocol
Step 1: Identify Completed Phases
What work is DONE and won't be revisited?
→ Research findings already synthesized
→ Implementation already verified
→ Decisions already made and appliedStep 2: Extract Key Information
From the completed phase, preserve:
✅ Decisions made and WHY
✅ File paths and line numbers of changes
✅ Key findings that inform ongoing work
✅ Error messages or test results (summarized)
Discard:
❌ Step-by-step tool invocation details
❌ Full file contents that were read
❌ Exploratory dead-ends that didn't lead anywhere
❌ Verbose error stack traces (keep the message only)Step 3: Write Summary
Use the Phase Summary format above.
Keep to 100-300 tokens per completed phase.
Include enough detail to resume work without re-reading.---
Best Practices
1. Compress phases, not facts — Individual decisions should stay, full transcripts should go 2. Preserve "why" over "what" — Why a decision was made matters more than the exact commands run 3. Never auto-compress — Always tell the user "I'm summarizing the completed research phase to keep context focused" 4. Keep file references — Always preserve file paths and line numbers in summaries 5. Checkpoint on phase transitions — Natural compression point when switching from research to implementation