remember
/remember
Przegląda bieżącą rozmowę i zapisuje wartościową wiedzę (dobre praktyki, konwencje, decyzje architektoniczne, workflowy, opinie użytkownika) w trwałej pamięci AGENTS.md lub w skillach wielokrotnego użytku.
- Autor
- langchain-ai ↗
- Repozytorium
- deepagents ↗
- Licencja
- MIT
- Ostatnia zmiana repozytorium
- 25.10.2026
Ocena i bezpieczeństwo
- Pliki w paczce
- 1
- Skrypty
- 0
- Komentarze HTML
- 0
- Adresy URL w SKILL.md
- 0
Brak sygnałów. Repozytorium zmienione 25.10.2026, bez odwołań do wycofanych modeli i API.
MIT, otwarta: można używać i zmieniać, z zachowaniem informacji o autorze.
Co robi i kiedy
Przegląda bieżącą rozmowę i zapisuje wartościową wiedzę (dobre praktyki, konwencje, decyzje architektoniczne, workflowy, opinie użytkownika) w trwałej pamięci AGENTS.md lub w skillach wielokrotnego użytku.
Oryginalny opis (EN)
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.
Jak działa
- Step 1: Identify Best Practices and Key Learnings
- Step 2: Decide Where to Store Each Learning
- Step 3: Create Skills for Significant Best Practices
- Step 4: Update Memory for Simpler Learnings
- Step 5: Summarize Changes
Podgląd SKILL.md
--- 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)
Wersje
| Repozytorium | Wynik | Licencja |
|---|---|---|
| Ta strona · langchain-ai/deepagents | 100 | MIT |
| yonatangross/orchestkit | 100 | MIT |
| zereight/gitlab-mcp | 100 | MIT |
| stxrmik/antigravity-plus | 100 | MIT |
| rohitg00/agentmemory | 100 | Apache-2.0 |
| eleboucher/memini | 100 | AGPL-3.0 |
| ffMathy/hey-jarvis | 100 | MIT |
| alirezarezvani/claude-skills | 100 | MIT |
| cristobaltormo/cortex-md | 100 | MIT |
Migawka bazy z 13.11.2026 · wersja paczki ad98ba3eaaf7 (skrót SHA-256 całej paczki)
Pobrania w ostatnich 30 dniach: 0 · ranking
Zgłoś problem z tym skillem: szkodliwa treść, błędny opis albo prośba autora o usunięcie.
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Zapisuje nowy kontekst, terminy, wnioski i lekkie decyzje w warstwie pamięci projektu (gorący cache AGENTS.md, docs/memory, docs/inbox.md) na prośbę lub na koniec sesji.