Skip to main content

remember

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.

Quellinformationen

Repository
langchain-ai/deepagents
Letzte Quellaktivität
26. August 2026 um 02:09
Erkannte Sprache von SKILL.md
Englisch
Sterne
30.321
Forks
4.263

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
remember
description
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.
license
MIT
compatibility
designed for deepagents-code
Review our conversation and capture valuable knowledge. Focus especially on **best practices** we discussed or discovered—these are the most important things to preserve. ## Step 1: Identify Best Practices and Key Learnings Scan the conversation for: ### Best Practices (highest priority) - **Patterns that worked well** - approaches, techniques, or solutions we found effective - **Anti-patterns to avoid** - mistakes, gotchas, or approaches that caused problems - **Quality standards** - criteria we established for good code, documentation, or processes - **Decision rationale** - why we chose one approach over another ### Other Valuable Knowledge - Coding conventions and style preferences - Project architecture decisions - Workflows and processes we developed - Tools, libraries, or techniques worth remembering - Feedback I gave about your behavior or outputs ## Step 2: Decide Where to Store Each Learning For each best practice or learning, choose the right destination: ### -> Memory (AGENTS.md) for preferences and guidelines Use memory when the knowledge is: - A preference or guideline (not a multi-step process) - Something to always keep in mind - A simple rule or pattern **Global** (`$DEEPAGENTS_HOME/agent/AGENTS.md`): Universal preferences across all projects **Project** (`.deepagents/AGENTS.md`): Project-specific conventions and decisions ### -> Skill for reusable workflows and methodologies **Create a skill when** we developed: - A multi-step process worth reusing - A methodology for a specific type of task - A workflow with best practices baked in - A procedure that should be followed consistently Skills are more powerful than memory entries because they can encode **how** to do something well, not just **what** to remember. ## Step 3: Create Skills for Significant Best Practices If we established best practices around a workflow or process, capture them in a skill. **Example:** If we discussed best practices for code review, create a `code-review` skill that encodes those practices into a reusable workflow. ### Skill Location `$DEEPAGENTS_HOME/agent/skills/<skill-name>/SKILL.md` ### Skill Structure ``` skill-name/ ├── SKILL.md (required - main instructions with best practices) ├── scripts/ (optional - executable code) ├── references/ (optional - detailed documentation) └── assets/ (optional - templates, examples) ``` ### SKILL.md Format ```markdown --- 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 ``` ### Key Principles 1. **Encode best practices prominently** - Put them near the top so they guide the entire workflow 2. **Concise is key** - Only include non-obvious knowledge. Every paragraph should justify its token cost. 3. **Clear triggers** - The description determines when the skill activates. Be specific. 4. **Imperative form** - Write as commands: "Create a file" not "You should create a file" 5. **Include anti-patterns** - What NOT to do is often as valuable as what to do ## Step 4: Update Memory for Simpler Learnings For preferences, guidelines, and simple rules that don't warrant a full skill: ```markdown ## 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. ## Step 5: Summarize Changes List what you captured and where you stored it: - Skills created (with key best practices encoded) - Memory entries added (with location)
Auf GitHub ansehen