Decision Extraction is an AI Engineering skill for Claude Code, published by Fr-e-d in GAAI-framework.
Decision Extraction identifies durable product and technical decisions in agent outputs and records them as structured ADRs. Use it after discovery, delivery, or QA reveals trade-offs, constraints, or a meaningful direction change.
Decision Extraction is cataloged under AI Engineering on DirSkills. Decision Extraction comes from a repository tagged agentic-coding, ai-agents, ai-coding, ai-developer-tools and ai-governance.
Documentation
Activate after:
Do NOT use for trivial steps, implementation details, brainstorming, or reversible micro-choices.
This is the opening of the README. Read the full README on GitHub.
Decision Extraction is one of 25 skills that DirSkills catalogs from Fr-e-d/GAAI-framework, the repository it ships in. Its siblings there include Abort-Safe Handler, Ambiguity Detector and Approach Evaluation. Each one is a separate skill with its own page in this directory, installs the same way Decision Extraction does, and is maintained by Fr-e-d in that same repository. The rest of the collection is listed on the Fr-e-d/GAAI-framework page.
Decision Extraction ranks #3422 by stars among the 3670 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. 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 Decision Extraction against them. Open each page to compare what they document and how they install.
Decision Extraction is one of 25 skills cataloged on DirSkills from Fr-e-d/GAAI-framework.
Decision Extraction is one of 3670 AI Engineering skills cataloged on DirSkills, ranked #3422 by stars among them.