MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Controls memory visibility across profiles — personal (private, default), shared (selected profiles), or global (all profiles on this machine).
$ npx skills add qualixar/superlocalmemory --skill slm-scope -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install qualixar/superlocalmemory slm-scope --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/qualixar/superlocalmemory.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugin/skills/slm-scope .claude/skills/slm-scope && rm -rf skills-srcUse ~/.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/
Install the "slm-scope" agent skill from https://github.com/qualixar/superlocalmemory/tree/main/plugin/skills/slm-scope into .claude/skills/slm-scope/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "slm-scope", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/qualixar/superlocalmemory/tree/main/plugin/skills/slm-scopeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add qualixar/superlocalmemory --skill slm-scope -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install qualixar/superlocalmemory slm-scope --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qualixar/superlocalmemory.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugin/skills/slm-scope .agents/skills/slm-scope && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "slm-scope" agent skill from https://github.com/qualixar/superlocalmemory/tree/main/plugin/skills/slm-scope into .agents/skills/slm-scope/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "slm-scope", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add qualixar/superlocalmemory --skill slm-scope -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install qualixar/superlocalmemory slm-scope --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qualixar/superlocalmemory.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugin/skills/slm-scope .cursor/skills/slm-scope && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "slm-scope" agent skill from https://github.com/qualixar/superlocalmemory/tree/main/plugin/skills/slm-scope into .cursor/skills/slm-scope/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "slm-scope", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/qualixar/superlocalmemory.git --path plugin/skills/slm-scope--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add qualixar/superlocalmemory --skill slm-scope -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install qualixar/superlocalmemory slm-scope --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qualixar/superlocalmemory.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugin/skills/slm-scope .gemini/skills/slm-scope && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "slm-scope" agent skill from https://github.com/qualixar/superlocalmemory/tree/main/plugin/skills/slm-scope into .gemini/skills/slm-scope/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "slm-scope", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install qualixar/superlocalmemory slm-scopeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add qualixar/superlocalmemory --skill slm-scope -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/qualixar/superlocalmemory.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugin/skills/slm-scope .github/skills/slm-scope && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "slm-scope" agent skill from https://github.com/qualixar/superlocalmemory/tree/main/plugin/skills/slm-scope into .github/skills/slm-scope/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "slm-scope", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add qualixar/superlocalmemory --skill slm-scope -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install qualixar/superlocalmemory slm-scope --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qualixar/superlocalmemory.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugin/skills/slm-scope .opencode/skills/slm-scope && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "slm-scope" agent skill from https://github.com/qualixar/superlocalmemory/tree/main/plugin/skills/slm-scope into .opencode/skills/slm-scope/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "slm-scope", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
slm-scopeControls memory visibility across profiles — personal (private, default), shared (selected profiles), or global (all profiles on this machine).
Slm Scope is an agent skill from qualixar/superlocalmemory. Controls memory visibility across profiles — personal (private, default), shared (selected profiles), or global (all profiles on this machine). Default is always personal. Only change scope when the user explicitly asks to share a memory across workspaces. Works with both remember (write scope) and recall (read scope flags).
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows. It works with Model Context Protocol. The repository describes itself as: Open-source governed, local-first memory control plane for AI agents and teams. arXiv:2608.08253. The licence is AGPL-3.0.
Read from SKILL.md and the folder at commit ce2d7a9. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
rememberrecallsearchlist_recentBashFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and json).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Slm Scope loads about 1.4k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 465 words of instructions outside code blocks.
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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: remember, recall, search, list_recent, BashAutomated 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.
The full file from qualixar/superlocalmemory at commit ce2d7a9, republished under its AGPL-3.0 licence (© qualixar). 465 words, ~1,395 tokens.
.claude/skills/slm-scope/SKILL.md (or your agent's skills folder).SuperLocalMemory is profile-isolated by default. Every profile is a fully independent memory namespace. The scope model adds controlled, opt-in sharing between profiles on the same machine — it is never active unless you explicitly set it.
| Scope | Visibility | When to use |
|---|---|---|
personal | Active profile only | Default — all facts. Never set explicitly. |
shared | Active profile + shared_with profiles | Team handoffs, shared project context |
global | Every profile on this machine | Machine-wide conventions, org-wide rules |
The default is always personal. A fact stored without a scope argument
is private to the profile that stored it. Recall without scope flags returns only
personal facts. This is identical to single-profile SLM.
Never set scope="shared" or scope="global" (or the recall equivalents
include_shared, include_global) unless the user explicitly asks you to share
or read across profiles. This is a hard rule — scope expansion is an action with
team-wide or machine-wide impact, and it must always be user-initiated.
remember(
content="API gateway rate limit is 1000 req/min per client",
tags="api,limits,ops",
project="platform",
importance=8,
session_id="<sid>",
scope="shared",
shared_with="devops-profile,backend-profile",
)shared_with is a comma-separated list of profile IDs that should be able to
recall this fact. Use slm status to see the current profile name — that is the
profile_id to supply.
remember(
content="All services must enforce TLS 1.3 minimum",
tags="security,tls,global",
project="infra",
importance=9,
session_id="<sid>",
scope="global",
)scope="global" makes the fact visible to every profile on this machine. Use
this only for machine-wide conventions (security rules, org-wide constraints).
By default, recall returns only the active profile's personal facts. To surface
shared and global facts, pass the opt-in flags:
recall(
query="rate limiting rules",
limit=20,
include_global=True, # include global-scope facts
include_shared=True, # include facts shared with this profile
session_id="<sid>",
)You can opt in to either or both flags independently. Only the active profile's permitted shared facts are returned — you cannot read another profile's personal facts.
# Recall with global facts included
slm recall "rate limiting rules" --include-global
# Recall with shared facts included
slm recall "rate limiting rules" --include-shared
# Both
slm recall "rate limiting rules" --include-global --include-shared
# Store a global fact
slm remember "TLS 1.3 minimum" --scope global
# Store a shared fact (shared-with is a comma-separated list of profile IDs)
slm remember "API rate limit 1000/min" --scope shared --shared-with devops,backendCLI flags verified in source: --include-global / --no-global, --include-shared / --no-shared,
--scope personal|shared|global, --shared-with <profile-ids>.
Per-profile defaults live in mode_a/b/c.json configuration. To make a profile
always include global facts without passing flags each time:
{
"recall": {
"include_global": true,
"include_shared": false
}
}Changing the default requires editing the profile config directly — this is an admin-level operation.
In a governed workspace (admin/member/viewer roles), scope expansion may be restricted:
scope="global" facts — their writes are always personal.scope="shared" with profiles in their access list.scope="global" unrestricted.See slm-governance for the full enterprise behavior model.
A scope="global" fact deleted by one profile is deleted for all profiles. A
scope="shared" fact is deleted from all profiles that had access to it.
Use slm forget "<query>" --dry-run before any deletion involving shared facts
to review the impact. See slm-remember for the full deletion discipline.
slm-remember — full fact storage reference including scope parametersslm-recall — full retrieval reference including include_global/include_sharedslm-profile — what a profile is and how to switch between themslm-governance — enterprise role restrictions on scopeSuperLocalMemory v4.1.21 · Qualixar · AGPL-3.0-or-later
© qualixar, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in plugin/skills/slm-scope of qualixar/superlocalmemory.
Open the folder on GitHubat commit ce2d7a9
Slm Scope 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Slm Scope this skillqualixar/superlocalmemory | 227 | — | ~1.4k | Automated safety check: Notes | AGPL-3.0 | |
| MCP Server Builderanthropics/skills | 180k | 64 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Fastmcp Client CLIPrefectHQ/fastmcp | 28k | 1 repos | ~823 | Automated safety check: Pass | Apache-2.0 | |
| MemPalace Memory SearchMemPalace/mempalace | 59k | — | ~1.4k | Automated safety check: Pass | MIT |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
anthropics/claude-plugins-official
Explains how to bundle Model Context Protocol servers in a Claude Code plugin, covering config files, stdio, SSE, HTTP and WebSocket server types, and authentication.
PrefectHQ/fastmcp
Query and invoke tools on MCP servers using fastmcp list and fastmcp call.
MemPalace/mempalace
Mines project files and conversation exports into a local, searchable memory palace and recalls past work by semantic search through the mempalace CLI.
charmbracelet/crush
Explains how to configure the Crush coding agent with crushrc or crush.json, covering providers, models, LSPs, MCP servers, hooks, permissions and config precedence.
qualixar/superlocalmemory
AI agent memory with mathematical foundations. An agent skill from qualixar/superlocalmemory.
qualixar/superlocalmemory
Index and query a codebase as a structural graph — build the code graph, trace blast radius of a change, find callers/callees/inheritors, semantic code search by meaning, assemble PR review context…
qualixar/superlocalmemory
Run gate-verified bounded loops with SuperLocalMemory as the durable ledger.
qualixar/superlocalmemory
Search and retrieve facts, decisions, and past context from SuperLocalMemory.
qualixar/superlocalmemory
Capture durable facts, decisions, constraints, and gotchas into SuperLocalMemory.
qualixar/superlocalmemory
Health and optimization stats for SuperLocalMemory — call slmoptimizestats() for live compression and cache counters (compressruns, tokenssavedcompress, cacheproxyhits, cacheproxymisses…
Works with
Categories
Controls memory visibility across profiles — personal (private, default), shared (selected profiles), or global (all profiles on this machine). Slm Scope is an agent skill from qualixar/superlocalmemory. Controls memory visibility across profiles — personal (private, default), shared (selected profiles), or global (all profiles on this machine).
Slm Scope fits situations like: explicitly asks to share a memory across workspaces.
Run `npx skills add qualixar/superlocalmemory --skill slm-scope -a claude-code`. Or copy the skill folder (plugin/skills/slm-scope in qualixar/superlocalmemory) into .claude/skills/slm-scope in your project. Claude Code loads it when a task matches its description.
Run `npx skills add qualixar/superlocalmemory --skill slm-scope -a codex`. Or copy the skill folder (plugin/skills/slm-scope in qualixar/superlocalmemory) into .agents/skills/slm-scope in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add qualixar/superlocalmemory --skill slm-scope -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/slm-scope, .gemini/skills/slm-scope, .github/skills/slm-scope and .opencode/skills/slm-scope in your project.
SKILL.md names no scripts, command-line tools or credentials: Slm Scope is instructions for the agent only. Its frontmatter pre-approves these tools: remember, recall, search, list_recent, Bash.
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.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Slm Scope is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Slm Scope: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Fastmcp Client CLI (PrefectHQ/fastmcp, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
qualixar (a GitHub organization) maintains it in qualixar/superlocalmemory, which has 227 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 8, 2026.
Source: qualixar/superlocalmemory on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.