Documentation
README
autocontext
autocontext is an iterative strategy generation and evaluation system that uses LLM-based judging to score and improve agent outputs.
Available Tools
This is the opening of the README. Read the full README on GitHub.
AutoContext is a Quality skill for Claude Code, published by greyhaven-ai in autocontext.
AutoContext uses LLM-based judging with rubric-driven scoring to evaluate and improve agent outputs. Use it to run improvement loops, queue background evaluations, check run status, inspect artifacts and session lineage, or discover scenarios.
AutoContext is cataloged under Quality on DirSkills. AutoContext comes from a repository tagged agents, ai, autoresearch, claude and claude-code.
Documentation
autocontext is an iterative strategy generation and evaluation system that uses LLM-based judging to score and improve agent outputs.
This is the opening of the README. Read the full README on GitHub.
AutoContext is one of 5 skills that DirSkills catalogs from greyhaven-ai/autocontext, the repository it ships in. Its siblings there include Autocontext, Autocontext Consumer and Autocontext Creator. Each one is a separate skill with its own page in this directory, installs the same way AutoContext does, and is maintained by greyhaven-ai in that same repository. The rest of the collection is listed on the greyhaven-ai/autocontext page.
AutoContext ranks #707 by stars among the 1354 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of AutoContext against them. Open each page to compare what they document and how they install.
AutoContext is one of 5 skills cataloged on DirSkills from greyhaven-ai/autocontext.
AutoContext is one of 1354 Quality skills cataloged on DirSkills, ranked #707 by stars among them.