Context Intelligence Evaluation Methodology

microsoft/amplifier-bundle-context-intelligence/skills/context-intelligence-evaluation-methodology

analysisOfficial

Official Provider SkillView repo

Use when deciding how to measure a context-intelligence tool signal — metric design across quality/efficiency/efficacy axes, artifact-metric avoidance via precursor measurement, A/B and statistical-N discipline, and test-data fidelity.

Files1 files

SKILL.md62 lines

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Skill details

Versionv1.0.0

AuthorMicrosoft

Categoryanalysis

Skill IDmicrosoft/amplifier-bundle-context-intelligence/skills/context-intelligence-evaluation-methodology

Related skills

Blob ReadingSafe resolution of ci-blob:// URIs — extract specific fields without dumping full payloads Context Intelligence Eval DesignUse when designing evaluation scenarios for a context-intelligence tool signal — derives success criteria from domain-concepts.md and produces evaluation-scenarios.md entries and DTU profile templates.Context Intelligence Graph QueryUse when querying the context-intelligence property graph for session history, tool call traces, LLM iteration analysis, execution scale metrics, agent delegation trees, skill loading, and recipe orchestration. Covers all graph layers, cross-layer SOURCED_FROM joins, SST navigation, blob handling, and verified Cypher patterns.Context Intelligence Session NavigationUse when extracting session data directly from JSONL files — the baseline path when the graph server is unavailable or when operating outside graph-analyst Context Intelligence Session ReconstructionReconstruct local Amplifier session files from the context-intelligence graph server — events.jsonl, transcript.jsonl, and metadata.json Context Intelligence Tool DesignUse when selecting a detection strategy and implementation primitive for a context-intelligence signal — classifies signals as deterministic/probabilistic/llm-evaluated/hybrid and applies the cheapest-sufficient-capability principle.