Analyze decisions with the CLEAR META framework and output a MetaScore, rationale, and implementation plan.
npx skills add https://github.com/demithras/ClearMeta --skill meta-demithras
Please help me install this Agent Skill. Skill: meta Source: https://github.com/demithras/ClearMeta/tree/main/.claude/skills/meta Command: npx skills add https://github.com/demithras/ClearMeta --skill meta-demithras
Clear strategic decisions are often opaque, inconsistent, or hard to reproduce. The CLEAR META framework provides a disciplined structure to surface context, validate claims, set exit criteria, decide on actions, and capture learnings.
Use /meta <question> to trigger a depth-selected analysis (quick, deep, or comparative). Use --depth to force depth, --plan to derive a task plan, and --beads to persist decisions across sessions.
High-intent search queries and answers about installing and using this skill.
Architecture decision analysis evaluates options using structured CLEAR phases and epistemic labels to validate claims. It produces a reproducible recommendation with a MetaScore, rationale, and an actionable implementation plan for your technology selection.
Comparative decision analysis applies the CLEAR META framework to rank multiple technology options using a MetaScore. It outputs a structured recommendation with rationale and an actionable implementation plan tailored to your workflow architecture.
You can force decision analysis depth using the --depth parameter to trigger quick, comparative, or deep evaluation. This controls the rigor of the CLEAR META framework applied to your architecture or technology selection question.
Derive a task plan from decision analysis by using the --plan parameter. This converts the CLEAR META framework's structured recommendation and implementation plan into actionable tasks for your technology selection and workflow execution.
Persist strategic decisions across sessions using the --beads parameter. This captures the MetaScore, rationale, and implementation plan from your decision analysis, ensuring reproducible technology selection and workflow architecture outcomes over time.
Use deep analysis for complex architecture decisions requiring rigorous validation of epistemic claims, and quick analysis for simple technology selection. Deep analysis generates a more detailed MetaScore and implementation plan for high-stakes workflow decisions.
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