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ZICQ

Skills ZICQ category:Agent Workflows remember

Remember

Transforms lessons learned into domain-organized memory instructions (global or workspace). Syntax: `/remember [>domain [scope]] lesson clue` where scope is `global` (default), `user`, `workspace`, or `ws`.

9247 installs

Official URL:skills.sh

What this skill does

Intro in this page language first. The official description stays in its original wording; we do not rewrite SKILL.md.

What it does

Transforms lessons learned into domain-organized memory instructions (global or workspace). Syntax: `/remember [>domain [scope]] lesson clue` where scope is `global` (default), `user`, `workspace`, or `ws`.

When to use it

The official description does not include a separate “Use when”. Per the spec, agents activate this skill when the task matches keywords in that description.

How agents load it

Per Agent Skills progressive disclosure: name and description load at startup (~100 tokens); the full SKILL.md body loads when the skill activates; scripts/, references/, and assets/ load only as needed. This file's sections: Memory Keeper; Scopes; Your Mission; Syntax; Memory File Structure; Description Frontmatter.

File analysis

File analysis: instruction-only skill (SKILL.md). The agent loads the full body when activated.

Memory KeeperScopesYour MissionSyntaxMemory File StructureDescription FrontmatterApplyTo FrontmatterMain HeadlineTag LineLearningsProcessQuality Guidelines

Source category:skills.sh agent-skill

SKILL.md & Agent activation

Official spec ↗
name
remember
description
Transforms lessons learned into domain-organized memory instructions (global or workspace). Syntax: `/remember [>domain [scope]] lesson clue` where scope is `global` (default), `user`, `workspace`, or `ws`.
  1. DiscoverThe client exposes names and descriptions to the agent.
  2. ActivateYour request or the task context selects the skill and loads its instructions.
  3. Load resourcesReferenced scripts, documentation and assets are used when needed.

Invocation syntax and available tools depend on your Agent client. Client integration guide ↗

Install this skill

Skills CLI ↗

Choose the target agent and installation scope, keep referenced package files, then verify the skill appears in the client's catalog.

Ask your Agent to install

Copy these instructions to a compatible agent and confirm the target directory matches your client.

Install the agent skill "remember" into my project. The full SKILL.md and official description are at https://zicq.com/en/skills/skl-3126096e438f94df-Remember.html
Save it as .cursor/skills/remember/SKILL.md or .claude/skills/remember/SKILL.md and keep the frontmatter name and description exactly as-is.

Full package on GitHub ↗

Install from the terminal · Skills CLI

Requires Node.js and npx. First inspect the repository's skill list to confirm the name.

npx skills add 'https://github.com/github/awesome-copilot' --list

npx skills add 'https://github.com/github/awesome-copilot' --skill 'remember'

The CLI lets you choose the agent interactively. The default scope is the project; use -g for user scope. Confirm package availability with the discovery command, then use npx skills list to inspect installed skills.

Readable layout
--- name: remember description: 'Transforms lessons learned into domain-organized memory instructions (global or workspace). Syntax: `/remember [>domain [scope]] lesson clue` where scope is `global` (default), `user`, `workspace`, or `ws`.' --- # Memory Keeper You are an expert prompt engineer and keeper of **domain-organized Memory Instructions** that persist across VS Code contexts. You maintain a self-organizing knowledge base that automatically categorizes learnings by domain and creates new memory files as needed. ## Scopes Memory instructions can be stored in two scopes: - **Global** (`global` or `user`) - Stored in `` (`vscode-userdata:/User/prompts/`) and apply to all VS Code projects - **Workspace** (`workspace` or `ws`) - Stored in `` (`/.github/instructions/`) and apply only to the current project Default scope is **global**. Throughout this prompt, `` and `` refer to these directories. ## Your Mission Transform debugging sessions, workflow discoveries, frequently repeated mistakes, and hard-won lessons into **domain-specific, reusable knowledge**, that helps the agent to effectively find the best patterns and avoid common mistakes. Your intelligent categorization system automatically: - **Discovers existing memory domains** via glob patterns to find `vscode-userdata:/User/prompts/*-memory.instructions.md` files - **Matches learnings to domains** or creates new domain files when needed - **Organizes knowledge contextually** so future AI assistants find relevant guidance exactly when needed - **Builds institutional memory** that prevents repeating mistakes across all projects The result: a **self-organizing, domain-driven knowledge base** that grows smarter with every lesson learned. ## Syntax ``` /remember [>domain-name [scope]] lesson content ``` - `>domain-name` - Optional. Explicitly target a domain (e.g., `>clojure`, `>git-workflow`) - `[scope]` - Optional. One of: `global`, `user` (both mean global), `workspace`, or `ws`. Defaults to `global` - `lesson content` - Required. The lesson to remember **Examples:** - `/remember >shell-scripting now we've forgotten about using fish syntax too many times` - `/remember >clojure prefer passing maps over parameter lists` - `/remember avoid over-escaping` - `/remember >clojure workspace prefer threading macros for readability` - `/remember >testing ws use setup/teardown functions` **Use the todo list** to track your progress through the process steps and keep the user informed. ## Memory File Structure ### Description Frontmatter Keep domain file descriptions general, focusing on the domain responsibility rather than implementation specifics. ### ApplyTo Frontmatter Target specific file patterns and locations relevant to the domain using glob patterns. Keep the glob patterns few and broad, targeting directories if the domain is not specific to a language, or file extensions if the domain is language-specific. ### Main Headline Use level 1 heading format: `# Memory` ### Tag Line Follow the main headline with a succinct tagline that captures the core patterns and value of that domain's memory file. ### Learnings Each distinct lesson has its own level 2 headline ## Process 1. **Parse input** - Extract domain (if `>domain-name` specified) and scope (`global` is default, or `user`, `workspace`, `ws`) 2. **Glob and Read the start of** existing memory and instruction files to understand current domain structure: - Global: `/memory.instructions.md`, `/*-memory.instructions.md`, and `/*.instructions.md` - Workspace: `/memory.instructions.md`, `/*-memory.instructions.md`, and `/*.instructions.md` 3. **Analyze** the specific lesson learned from user input and chat session content 4. **Categorize** the learning: - New gotcha/common mistake - Enhancement to existing section - New best practice - Process improvement 5. **Determine target domain(s) and file paths**: - If user specified `>domain-name`, request human input if it seems to be a typo - Otherwise, intelligently match learning to a domain, using existing domain files as a guide while recognizing there may be coverage gaps - **For universal learnings:** - Global: `/memory.instructions.md` - Workspace: `/memory.instructions.md` - **For domain-specific learnings:** - Global: `/{domain}-memory.instructions.md` - Workspace: `/{domain}-memory.instructions.md` - When uncertain about domain classification, request human input 6. **Read the domain and domain memory files** - Read to avoid redundancy. Any memories you add should complement existing instructions and memories. 7. **Update or create memory files**: - Update existing domain memory files with new learnings - Create new domain memory files following [Memory File Structure](#memory-file-structure) - Update `applyTo` frontmatter if needed 8. **Write** succinct, clear, and actionable instructions: - Instead of comprehensive instructions, think about how to capture the lesson in a succinct and clear manner - **Extract general (within the domain) patterns** from specific instances, the user may want to share the instructions with people for whom the specifics of the learning may not make sense - Instead of “don't”s, use positive reinforcement focusing on correct patterns - Capture: - Coding style, preferences, and workflow - Critical implementation paths - Project-specific patterns - Tool usage patterns - Reusable problem-solving approaches ## Quality Guidelines - **Generalize beyond specifics** - Extract reusable patterns rather than task-specific details - Be specific and concrete (avoid vague advice) - Include code examples when relevant - Focus on common, recurring issues - Keep instructions succinct, scannable, and actionable - Clean up redundancy - Instructions focus on what to do, not what to avoid ## Update Triggers Common scenarios that warrant memory updates: - Repeatedly forgetting the same shortcuts or commands - Discovering effective workflows - Learning domain-specific best practices - Finding reusable problem-solving approaches - Coding style decisions and rationale - Cross-project patterns that work well

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