Fast Jev Agents — Development skill for Claude Code
High-performance verbatim context compaction for coding agents (Claude, Codex, Antigravity, Gemini, OpenCode).
How to install Fast Jev Agents
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open satiricalguru/Fast-jev-agents and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Fast Jev Agents does
High-performance verbatim context compaction for coding agents (Claude, Codex, Antigravity, Gemini, OpenCode).
Alternatives in Development
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README
Fast-jev-agents
**Continuous, Verbatim Context Compaction for Autonomous Coding Agents**
*Never lose an exact line number, compiler error, or user constraint to lossy LLM summarization.*
[](https://www.npmjs.com) [](https://www.typescriptlang.org) [](https://github.com/satiricalguru/Fast-jev-agents) [](https://opensource.org/licenses/MIT) [](#supported-coding-agents)
Why Verbatim? • Optimizations • Quickstart • Agent Integrations • CLI Tool • Configuration • Contributors
The Problem: Lossy Summarization Breaks Agents
When an AI coding agent runs for 20+ turns, its conversation context approaches LLM window limits. Standard agent frameworks solve this with **summary compaction**: asking an auxiliary model to write a prose summary of older turns.
[!WARNING] **Summary Compaction is Destructive**:
- File paths (
src/core/auth/tokens.tsbecomes "the auth module")- Exact error traces (
Expected 200 OK, got 403 Forbidden at line 48vanishes)- Strict user constraints (
"Never edit files under src/generated") are often dropped or hallucinated away- Re-running tasks becomes erro
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