Official agent skill

Remember

by github in github/awesome-copilot

Transforms lessons learned into domain-organized memory instructions (global or workspace).

OfficialMITAuto-check passed

Install Remember

skills CLI
$ npx skills add github/awesome-copilot --skill remember -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install github/awesome-copilot remember --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/remember .claude/skills/remember && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
remember
GitHub stars
40k
Used in
1 other repo
Token cost
~1.6k tokens
SKILL.md length
729 words
Files
1
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

Transforms lessons learned into domain-organized memory instructions (global or workspace).

  • Works in 8 steps: Parse input - Extract domain (if… → Glob and Read the start of existing… → Analyze the specific lesson learned from… → …
  • SKILL.md covers Scopes, Your Mission, Syntax and Memory File Structure, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Remember is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. 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.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with GitHub and Visual Studio Code. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.

Example prompts

  • “Use the remember skill to transform lessons learned into domain-organized memory instructions (global or workspace)”
  • “/remember”

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  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
  3. Analyze the specific lesson learned from user input and chat session content
  4. Categorize the learning
  5. Determine target domain(s) and file paths
  6. Read the domain and domain memory files
  7. Update or create memory files
  8. Write succinct, clear, and actionable instructions

What it can do on your machine

Read from SKILL.md and the folder at commit 727ff2e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Remember loads about 1.6k tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 729 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). 729 words, ~1,632 tokens.

Download SKILL.mdSave it as .claude/skills/remember/SKILL.md (or your agent's skills folder).
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 <global-prompts> (vscode-userdata:/User/prompts/) and apply to all VS Code projects
  • Workspace (workspace or ws) - Stored in <workspace-instructions> (<workspace-root>/.github/instructions/) and apply only to the current project

Default scope is global.

Throughout this prompt, <global-prompts> and <workspace-instructions> 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: # <Domain Name> 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

Show full SKILL.md (353 more words)Show less

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: <global-prompts>/memory.instructions.md, <global-prompts>/*-memory.instructions.md, and <global-prompts>/*.instructions.md
    • Workspace: <workspace-instructions>/memory.instructions.md, <workspace-instructions>/*-memory.instructions.md, and <workspace-instructions>/*.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: <global-prompts>/memory.instructions.md
      • Workspace: <workspace-instructions>/memory.instructions.md
    • For domain-specific learnings:
      • Global: <global-prompts>/{domain}-memory.instructions.md
      • Workspace: <workspace-instructions>/{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
    • 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

© github, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/remember of github/awesome-copilot.

Open the folder on GitHubat commit 727ff2e

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Remember next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Remember compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Remember this skillgithub/awesome-copilot40k1 repos~1.6kAutomated safety check: PassMIT
Make Custom Agentdotnet/efcore15k—~2.3kAutomated safety check: PassMIT
ReleasePowerShell/vscode-powershell1.9k—~1.1kAutomated safety check: PassMIT
Release Roslynatordotnet/roslynator3.5k—~1kAutomated safety check: PassCustom licence
Promotion Branches E2E Testhardisgroupcom/sfdx-hardis400—~4.7kAutomated safety check: NotesAGPL-3.0
Capture As Gh IssuetwentyTwo/vsc-ext-coding-time-tracker151—~1kAutomated safety check: PassMIT

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Questions about Remember

What does Remember do?

Transforms lessons learned into domain-organized memory instructions (global or workspace). Remember is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Transforms lessons learned into domain-organized memory instructions (global or workspace).

How do I install Remember in Claude Code?

Run `npx skills add github/awesome-copilot --skill remember -a claude-code`. Or copy the skill folder (skills/remember in github/awesome-copilot) into .claude/skills/remember in your project. Claude Code loads it when a task matches its description.

How do I install Remember in Codex?

Run `npx skills add github/awesome-copilot --skill remember -a codex`. Or copy the skill folder (skills/remember in github/awesome-copilot) into .agents/skills/remember in your project. Codex loads it when a task matches its description.

Can I use Remember in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add github/awesome-copilot --skill remember -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/remember, .gemini/skills/remember, .github/skills/remember and .opencode/skills/remember in your project.

What does Remember need to run?

SKILL.md names no scripts, command-line tools or credentials: Remember is instructions for the agent only.

Does Remember access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Remember safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Remember use?

Remember is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Remember use?

About 1.6k tokens (SKILL.md is roughly 6.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Remember?

Skills that share tags, products or a category with Remember: Make Custom Agent (dotnet/efcore, 15k stars), Release (PowerShell/vscode-powershell, 1.9k stars), Release Roslynator (dotnet/roslynator, 3.5k stars) and Promotion Branches E2E Test (hardisgroupcom/sfdx-hardis, 400 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Remember?

github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,748 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 7, 2026.

Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.