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Give an AI a usable project memory

Compile supplied documents into a source-linked wiki and retrieve the right evidence for a question.

Download complete workflow .md ↓Use with your AI

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What you need

A writable repository, source documents and representative questions.

Why these fit together

Immutable evidence anchors maintained claims; a small routing map makes them discoverable; source verification prevents a previous summary becoming its own proof.

Follow this order

  1. Keep immutable sources beside a maintained wiki

    Preserve evidence and compile dated linked claims.

  2. Make research discoverable to coding agents

    Make the evidence discoverable in the actual checkout.

  3. Route an AI to relevant notes on demand

    Route questions to a small relevant set of pages.

  4. Verify inherited claims at the owning source

    Check action-driving claims at their owning source.

Give this task to your AI

Use the Give an AI a usable project memory workflow. My task and inputs are supplied below. Read the prerequisites and check your available tools. Follow the core steps in order, passing the actual output of each step to the next. Adapt installation and commands to this environment; do not copy another agent's configuration blindly. If a required tool or input is missing, identify it before that step. Run the completion check and report observed results and unresolved work.

Setup to provide or build

A starter directory, page schema, index generator, lint command, sample sources and questions with expected evidence.

Check the result

A fresh agent finds the source for a sample answer; a corrected claim preserves its predecessor; absent private sources are reported as absent.

Curated implementation workflow. End-to-end execution must be verified in your environment.

Start with a free reusable skill