screenpipe-durable-learning git:20261003.a2d662fA

Immutable. This exact content never changes and is served at /api/v1/blob/865cbe7f40f27e25.

---
name: screenpipe-durable-learning
description: "Turn a verified correction or repeated workflow into a reusable local learning."
---

# durable learning

Verify the original request, correction, and result. Treat assistant success claims as claims until checked. Search existing skills before proposing a new one.
Save a concise reusable method, not a transcript, private identity, credential, or temporary task state. Include when to use it, steps, validation, and a stop condition.
Use skill_manage when available. Read first, preserve user/imported skills, and use the current hash for an agent-owned patch. Creating a skill requires the user’s explicit request or an enabled task whose stated scope authorizes it. No new permissions, outbound actions, or recursive agents.
A no-change result is valid. Assess the next relevant use before claiming improvement.


<!--kit-footer-->

---

**Like this skill?** It is one of 100 in [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_)

**Engineers: want to test-drive this setup?** Message me. I hand out free starter seeds to engineers who test and report back, and custom skill requests are welcome.