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Official agent skill

Memory Merger

by github in github/awesome-copilot

Merges mature lessons from a domain memory file into its instruction file.

OfficialMITAuto-check passed

Install Memory Merger

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

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

GitHub CLI
$ gh skill install github/awesome-copilot memory-merger --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/memory-merger .claude/skills/memory-merger && 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
memory-merger
GitHub stars
40k
Used in
1 other repo
Token cost
~972 tokens
SKILL.md length
376 words
Files
1
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

Merges mature lessons from a domain memory file into its instruction file.

  • Works in 5 steps: Parse Input and Read Files → Analyze and Propose → Define Quality Bar → …
  • SKILL.md covers Scopes, Syntax, Process and Example
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Memory Merger is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Merges mature lessons from a domain memory file into its instruction file. Syntax: /memory-merger domain [scope] where scope is global (default), user, workspace, or ws.

Its SKILL.md is about 970 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. 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 memory-merger skill to merge mature lessons from a domain memory file into its instruction file”
  • “/memory-merger”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Parse Input and Read Files
  2. Analyze and Propose
  3. Define Quality Bar
  4. Merge and Iterate
  5. Update Files

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

Memory Merger loads about 972 tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 376 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~49
When it runs · the whole SKILL.md, loaded when a task matches
~972

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). 376 words, ~972 tokens.

Download SKILL.mdSave it as .claude/skills/memory-merger/SKILL.md (or your agent's skills folder).
name
memory-merger
description
Merges mature lessons from a domain memory file into its instruction file. Syntax: `/memory-merger >domain [scope]` where scope is `global` (default), `user`, `workspace`, or `ws`.

Memory Merger

You consolidate mature learnings from a domain's memory file into its instruction file, ensuring knowledge preservation with minimal redundancy.

Use the todo list to track your progress through the process steps and keep the user informed.

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.

Syntax

/memory-merger >domain-name [scope]
  • >domain-name - Required. The domain to merge (e.g., >clojure, >git-workflow, >prompt-engineering)
  • [scope] - Optional. One of: global, user (both mean global), workspace, or ws. Defaults to global

Examples:

  • /memory-merger >prompt-engineering - merges global prompt engineering memories
  • /memory-merger >clojure workspace - merges workspace clojure memories
  • /memory-merger >git-workflow ws - merges workspace git-workflow memories

Process

1. Parse Input and Read Files
  • Extract domain and scope from user input
  • Determine file paths:
    • Global: <global-prompts>/{domain}-memory.instructions.md → <global-prompts>/{domain}.instructions.md
    • Workspace: <workspace-instructions>/{domain}-memory.instructions.md → <workspace-instructions>/{domain}.instructions.md
  • The user can have mistyped the domain, if you don't find the memory file, glob the directory and determine if there may be a match there. Ask the user for input if in doubt.
  • Read both files (memory file must exist; instruction file may not)
2. Analyze and Propose

Review all memory sections and present them for merger consideration:

## Proposed Memories for Merger

### Memory: [Headline]
**Content:** [Key points]
**Location:** [Where it fits in instructions]

[More memories]...

Say: "Please review these memories. Approve all with 'go' or specify which to skip."

STOP and wait for user input.

Show full SKILL.md (135 more words)Show less
3. Define Quality Bar

Establish 10/10 criteria for what constitutes awesome merged resulting instructions:

  1. Zero knowledge loss - Every detail, example, and nuance preserved
  2. Minimal redundancy - Overlapping guidance consolidated
  3. Maximum scannability - Clear hierarchy, parallel structure, strategic bold, logical grouping
4. Merge and Iterate

Develop the final merged instructions without updating files yet:

  1. Draft the merged instructions incorporating approved memories
  2. Evaluate against quality bar
  3. Refine structure, wording, organization
  4. Repeat until the merged instructions meet 10/10 criteria
5. Update Files

Once the final merged instructions meet 10/10 criteria:

  • Create or update the instruction file with the final merged content
    • Include proper frontmatter if creating new file
    • Merge applyTo patterns from both memory and instruction files if both exist, ensuring comprehensive coverage without duplication
  • Remove merged sections from the memory file

Example

User: "/memory-merger >clojure"

Agent:
1. Reads clojure-memory.instructions.md and clojure.instructions.md
2. Proposes 3 memories for merger
3. [STOPS]

User: "go"

Agent:
4. Defines quality bar for 10/10
5. Merges new instructions candidate, iterates to 10/10
6. Updates clojure.instructions.md
7. Cleans clojure-memory.instructions.md

© 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/memory-merger 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

Memory Merger 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.

Memory Merger compared with similar skills
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Memory Merger this skillgithub/awesome-copilot40k1 repos~972Automated safety check: PassMIT
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GitHub Deep Researchbytedance/deer-flow83k5 repos~1.3kAutomated safety check: PassMIT
Greplooponyx-dot-app/onyx32k4 repos~3.3kAutomated safety check: PassMIT
Update V8 Versionopeninterpreter/openinterpreter69k2 repos~845Automated safety check: PassApache-2.0

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Works with

Questions about Memory Merger

What does Memory Merger do?

Merges mature lessons from a domain memory file into its instruction file. Memory Merger is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Merges mature lessons from a domain memory file into its instruction file.

How do I install Memory Merger in Claude Code?

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

How do I install Memory Merger in Codex?

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

Can I use Memory Merger 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 memory-merger -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memory-merger, .gemini/skills/memory-merger, .github/skills/memory-merger and .opencode/skills/memory-merger in your project.

What does Memory Merger need to run?

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

Does Memory Merger 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 Memory Merger 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 Memory Merger use?

Memory Merger 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 Memory Merger use?

About 972 tokens (SKILL.md is roughly 3.9k 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 Memory Merger?

Skills that share tags, products or a category with Memory Merger: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Diagnosing Superpowers Sessions (obra/superpowers, 296k stars), GitHub Deep Research (bytedance/deer-flow, 83k stars) and Greploop (onyx-dot-app/onyx, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Memory Merger?

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.