Review the current conversation and capture valuable knowledge — best practices, coding conventions, architecture decisions, workflows, and user feedback — into persistent memory (AGENTS.md) or reusable skills. Use when the user says: (1) remember this, (2) save what we learned, (3) update memory, (4) capture learnings.
npx skills add https://github.com/langchain-ai/deepagents --skill remember
Review our conversation and capture valuable knowledge. Focus especially on best practices we discussed or discovered—these are the most important things to preserve.
Scan the conversation for:
For each best practice or learning, choose the right destination:
Use memory when the knowledge is:
Global (~/.deepagents/agent/AGENTS.md): Universal preferences across all projects
Project (.deepagents/AGENTS.md): Project-specific conventions and decisions
Create a skill when we developed:
Skills are more powerful than memory entries because they can encode how to do something well, not just what to remember.
If we established best practices around a workflow or process, capture them in a skill.
Example: If we discussed best practices for code review, create a code-review skill that encodes those practices into a reusable workflow.
~/.deepagents/agent/skills/<skill-name>/SKILL.md
skill-name/
├── SKILL.md (required - main instructions with best practices)
├── scripts/ (optional - executable code)
├── references/ (optional - detailed documentation)
└── assets/ (optional - templates, examples)
---
name: skill-name
description: "What this skill does AND when to use it. Include triggers like 'when the user asks to X' or 'when working with Y'. This description determines when the skill activates."
---
# Skill Name
## Overview
Brief explanation of what this skill accomplishes.
## Best Practices
Capture the key best practices upfront:
- Best practice 1: explanation
- Best practice 2: explanation
## Process
Step-by-step instructions (imperative form):
1. First, do X
2. Then, do Y
3. Finally, do Z
## Common Pitfalls
- Pitfall to avoid and why
- Another anti-pattern we discovered
For preferences, guidelines, and simple rules that don't warrant a full skill:
## Best Practices
- When doing X, always Y because Z
- Avoid A because it leads to B
Use edit_file to update existing files or write_file to create new ones.
List what you captured and where you stored it:
Complete development kit for Microsoft 365 Copilot declarative agents with three comprehensive workflows (basic, advanced, validation), TypeSpec support, and Microsoft 365 Agents Toolkit integration
Format and structurally validate local treatment-plan documentation after clinical decisions have already been supplied and verified by authorized licensed professionals. Use for source traceability, clinician-authored intervention records, goals and checkpoints, shared-decision records, reconciliation handoffs, and release gates—not for clinical decision-making.
> provider/change budget/修改卖家/修改预算/draft/草稿/我的任务/my tasks/what am I working on/关闭/取消任务/决策列表/decision list/指定服务商/browse (sender.role = COUNTERPARTY, not you); (3) literal "Read the okx-ai skill" (or legacy "Read the okx-agent-task skill") in the envelope.
Automate payer review of prior authorization (PA) requests. This skill should be used when users say "Review this PA request", "Process prior authorization for [procedure]", "Assess medical necessity", "Generate PA decision", or when processing clinical documentation for coverage policy validation and authorization decisions.
Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration.
Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability.
Orchestrates design workflows by routing work through brainstorming, multi-agent review, and execution readiness in the correct order.
Structured persuasion for tech leads, PMs, and founders—not activity logs. Five scenarios (kickoff, status update, wrap-up, investor pitch, solution selling) on one 5-part framework (Hook→Context→Proposal→Evidence→Ask). AI prompts for missing materials and audience context; pre-submit checklist. Claude Code plugin; Cursor, Codex, and chat via prompts.
Take langchain-ai/remember from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.