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Construct the LLM synthesis prompt from project surface scan + optional tree-sitter context + optional Q&A answers. Call the LLM. Parse and validate the response into 6-8 structured memory entries with clarity tags and source traceability. Used as Stage 3 of the /gaai:bootstrap pipeline.
Activate:
/gaai:bootstrap pipeline (after project-surface-scan and optional tree-sitter parse)Produces synthesis_result — structured memory entries ready for consent gate (Stage 5 pre-write gate) and memory ingest.
Each entry carries a clarity field. Use these definitions consistently:
| Value | Meaning |
|---|---|
confirmed | Evidence found directly in source files (imports, config, explicit declarations). Source[] must include file:line reference. |
inferred | Reasonable conclusion from structural patterns (directory layout, naming conventions, dep graph). Source[] should list supporting files. |
open-question | Significant ambiguity remains. Formulate as a question in content. Source[] may be empty. |
declared-by-user | User stated this explicitly in Q&A answers. Source[] should reference the Q&A input. |
npx skills add Fr-e-d/GAAI-framework --skill bootstrap-llm-synthesisHow clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
Clear and well structured, with only minor parts that might need a second read.
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
Mostly actionable with clear steps; only a few small gaps remain.