Automate 21risk tasks via Rube MCP (Composio). Always search tools first for current schemas.
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Rules for when an agent should recall from long-term memory before acting and when it should save decisions, corrections and failures afterwards. Works with any memory backend.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Connecting a memory tool does not make an agent use it: tools register, the session runs, and nothing gets recalled or saved. This skill supplies the missing part, standing rules for when to read memory and when to write it.
The problem it solves is specific. An agent with memory available still repeats settled questions, reverts corrected habits, and loses decisions between sessions, because nothing tells it when recall and save are due. The rules below make both moments explicit.
The agent needs a memory tool it can call. Any backend works, and the rules are identical for each:
memory/ folder of Markdown notes, one fact per file. No dependencies, fully greppable, versionable in git.Authentication is whatever the chosen backend requires: none for a local folder, the server's own configuration for a local MCP server, an API key or OAuth sign-in for a hosted service. This skill never handles credentials itself and never writes them into memory.
Read memory before doing any of these, not after:
Skip recall for one-off factual questions, arithmetic, or anything fully specified in the current message. Recall costs a tool call and context; spending it on a self-contained question is waste.
Search with the words the user actually used, plus the project or repository name. If the first search returns nothing useful, try one broader query, then stop and proceed without memory rather than looping.
Write to memory when one of these has just happened:
Do not save: the contents of files that can be read again, restatements of the current task, transient state, anything the user marked as temporary, and anything containing secrets, tokens, or personal data.
One memory, one fact. A paragraph containing four decisions cannot be superseded cleanly when one of them changes.
A memory that is useless in three weeks was written wrong. Give each entry, in the text if the backend has no fields for it:
Prefer the user's own words over a paraphrase. Paraphrase drifts.
When something changes, the old memory is not wrong. It is closed.
If the project moved from Redux to Zustand, "we use Redux" was true from January to June. Deleting it destroys the explanation for every component written in that window. Mark it superseded, keep its validity window, and write the new one alongside.
This is the single most destructive habit in agent memory, and it stays invisible until someone asks a question about old code.
If recall returns two entries that disagree, do not pick the closer match and proceed. Surface both, with their dates, and ask or flag. A convention that a recent failure contradicts is exactly the situation where the user needs to be told, not smoothed over.
An observation becomes policy when a human confirms it, when
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Automate 21risk tasks via Rube MCP (Composio). Always search tools first for current schemas.
中文简介正在准备中。当前显示原文说明。
Automate 2chat tasks via Rube MCP (Composio). Always search tools first for current schemas.
中文简介正在准备中。当前显示原文说明。
Usar al iniciar o mejorar un proyecto de IA: diagnostica código y restricciones, propone skills existentes y redacta tareas y un plan de implementación en español.
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Usar para crear o mejorar una skill de Andru.ia: define entradas y resultados, redacta SKILL.md con ejemplos y límites, valida la estructura y prepara una PR.
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Usar tras definir el sector de un proyecto: prepara un dossier en español con contexto, normas aplicables, patrones UX y riesgos, distinguiendo fuentes verificadas de hipótesis.
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AI-powered presentation generation via the 2slides API — create slides from text, match a reference image style, summarize documents into decks, add AI voice narration, and export pages/audio. Use f
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