screenpipe-research-synthesis · git:20261020.402f6b7 · 2026-10-20 · sha256 5ff933743d7d273e

screenpipe-research-synthesis git:20261020.402f6b7A

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name: screenpipe-research-synthesis
description: "Synthesize repeated themes from selected research conversations or notes."
---

# research synthesis

Confirm the source set and research question. Extract observations with source pointers before grouping them. A repeated claim in one conversation is one source, not multiple participants.
For each theme, state the supporting evidence, counterexamples, confidence, and practical implication. Separate observed behavior from preferences and hypotheses. Do not force consensus or invent prevalence.
Recommend a small next experiment with an observable success criterion. Use role labels in shareable output and avoid identifying quotes unless explicitly requested.

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**Like this skill?** It is part of [second-brain-starter-kit](https://github.com/tonydzi/second-brain-starter-kit): the second brain we built for ourselves and run every day at Palo Alto AI Research Lab. Install the whole set with `npx skills add tonydzi/second-brain-starter-kit`. Everything is open source and free, so take what you need.

Flagships worth a look on their own: [secondop-panel](https://github.com/tonydzi/secondop-panel) (a second opinion from a panel of external models), [claude-memory-tidy](https://github.com/tonydzi/claude-memory-tidy) (stop your agent's memory from rotting), [telegram-mcp-kit](https://github.com/tonydzi/telegram-mcp-kit) (your own Telegram over MCP in about 15 minutes).

Author: **Anton Dziatkovskii**, Palo Alto AI Research Lab. Telegram [@tonydzi](https://t.me/tonydzi) - WhatsApp [+1 341 222 9178](https://wa.me/13412229178) - X [@Tony_Stef_](https://x.com/Tony_Stef_)

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