Entries matching “skills”

@bluman1

@bluman1

An open-source collection of 150 auditable connector skills for Muse that install with one pasted prompt, declare their allowed hosts and keep credentials in the user's Muse vault.

@Nomadiction8991

@Nomadiction8991

Portuguese-language repository of versioned agent skills for OpenCode and Muse, each a lean SKILL.md with references and templates (ticketing, conventional commits, skill authoring, frontend design).

@QuJindai

@QuJindai

A Muse skill and thin gh-style CLI for the GitHub REST API that authenticates through a stored custom.github connector, so the skill never handles the raw token.

@sureshsankaran

@sureshsankaran

A Muse workspace skill that searches Ticketmaster's Discovery API for events, attractions and venues using a vault-stored API key.

@stellakaval

@stellakaval

A read-only Muse skill for Beli: your ranked restaurant list, want-to-try bookmarks, restaurant search, friends' ratings and recent activity.

@chinami-michaels

@chinami-michaels

A Muse agent skill with one-paste install that files Instagram saved reels into topic collections you define during setup.

@stellakaval

@stellakaval

A read-only Muse skill for Partiful: invitations and RSVP statuses, event details, guest lists and mutuals, via community reverse-engineering of Partiful's backend.

@vcspr

@vcspr

Unofficial terminal skill for Muse that calls the Apify API to list actors, start runs, poll status and pull dataset items from a single stdlib-only Python CLI.

@JustinAllen03-stack

@JustinAllen03-stack

A Muse skill that lets you prod friends' Muse agents with a designed speech pattern, like a Facebook poke: the imprint shows in their next replies, then fades.

@DevvGwardo

@DevvGwardo

muse-spark-crew is an opencode skill that orchestrates ten specialist subagents on Muse Spark 1.3, from architect to security auditor, with a phased fan-out and review gates.

@seb-patron

@seb-patron

Adversarial-review and fix-verification skills for Muse, built after two round-1 reviewers approved a diff with 0 blocking findings while an independent review found 13 real issues.

@pjpoulose

@pjpoulose

An installable Muse skill that deep-reads your Instagram saved posts with AI and keeps them searchable on your own machine, also exposed as an MCP server for other tools.

@cherry-nft

@cherry-nft

Experimental dependency-free Codex skill that lets Codex send tasks to Muse and read its responses through the user's signed-in Muse browser session, no server or API key.

@nmhjklnm

@nmhjklnm

A SKILL.md-driven setup that makes a machine without a public IP, such as a Muse/Hatch hosted VM, reachable over SSH through a public relay and self-recovers after reboots.

@theglitcharchitect

@theglitcharchitect

Wires TypeSafe Jev into a Muse agent's decision loop via a shadow-mode router that asks typed questions before expensive or irreversible steps, plus a 23-skill library the router picks from.

@terramike

@terramike

A terminal skill for trading any XRP Ledger token pair and minting NFTs, with a hard boundary between proposing and signing; testnet by default, and mainnet needs the Muse vault signer or a protected signer with per-transaction approval.

I've been migrating my workflow from ChatGPT Work / Codex over to Meta's Muse, and I've been auditing the harness as I go — reading cron files, checking diffs, mapping what the system actually does versus what it claims to do. It's a documentation gap. What the docs describe Meta's documentation is written for a normal user. It talks about the Ideas tab, the Goals tab, the Feed, and "background jobs that help Muse improve over time." Everything is described in terms of what it does for you. There is no architectural documentation. Nothing about how any of it is built. What is actually on disk Meanwhile, the home directory contains a fully legible agent architecture, just sitting there(these are just SOME examples, the system file structure is HUGE): • ~/dreams/alignment/ — a nightly job that regenerates an alignment synthesis: a written portrait of the user, how to handle them, current frictions, relationship guidance. • ~/workspace/objectives/goals/STUDYING.md — a daily learning-state projection with mastery bands, next-review dates, and retrieval prompts, plus a file of inferred goal leads the system guessed from behavior (with confidence levels and what would confirm or re

BeefyDan

@B33fyDan

Don’t sleep on @Muse! You can eliminate so much friction if you’re a content creator. Just give it a few skills and it’ll use @HyperFrames_ to create explainer videos for you, straight from the app. 🤯#muse

@Israelmusondaayliffe

@Israelmusondaayliffe

Muse workspace skills ported from a Codex/Claude Code plugin marketplace, translating manifests and hooks into procedures Muse can run with its terminal, browser and files.

@chasko-labs

@chasko-labs

Field notes on Muse Spark, a local Glimmer delegate and the Muse Code CLI, covering setup, skills hygiene, an MCP fleet and operational lessons from a ROCm box.

Full Value Dan

@fullvaluedan

I'm really surprised with what you can do with @Muse Most agents struggle with making decent images. For marketers, Muse automate can: - Create detailed carousels with custom images - Create skills and verification steps to learn your style - Post to social media - DM people

WEBdoze pairs Muse Spark 1.3 and Gemini 3.8 Flash with the Impeccable design skill and browser testing to turn plain AI-generated pages into polished frontends.

@nano-muse

@nano-muse

nanoMuse is an open-source personal AI agent inspired by Meta Muse that runs on Android with a shell, browser, MCP, skills and scheduled tasks, and can be pointed at DeepSeek, OpenAI or Ollama models.

@amanbthakkar

@amanbthakkar

An open protocol plus Muse skill and Cloudflare Workers reference server that lets each family member's Muse join shared boards (groceries, trips, household lists) with per-board identities and an approval card before anything is ordered.

Meta's developer blog introducing Muse Spark 1.2, co-trained with the new Muse Code terminal harness, with 1M-token context for multi-file refactors and hours-long tasks.

Andrew Brown's three-hour freeCodeCamp course on building apps and agent workflows with Muse Spark and the Muse Code CLI, ending in a full-stack Go/SQLite/Docker build.

https://github.com/mvrius/bluebubbles-muse BlueBubbles server on my Mac, Muse hook polling it every ~5s. How it works: the poll driver (bash shim + Python filter) checks for new messages and filters on an allowlist of senders, 1:1 chats, and group GUIDs. A new message from an allowlisted sender wakes Muse into a side chat with the message as context. Replies go back out as normal iMessages through the Mac. Why this instead of a messaging connector: connectors need an approval tap on every send, otherwise similar could be acheived via Messenger connector. Setup: BlueBubbles on the Mac, Tailscale so the agent VM can reach it, run the installer. Repo has the hook scripts, installer, architecture doc, and skill definition. Known issues: I am noticing that sometimes Tailscale connection drops on the Mac. I found that I need to bring down/up tailscale every hour for connection to stay up. A fun example from earlier today, I updated my calendar, moved dinner with my wife by 30 minutes - Muse mesaged the Family chat and informed my wife of the change. Cool findings: - Muse has a Tailscale option, you can connect the VM it runs on in Client model with other machines running Tailscal

I think a lot of people are boxing Muse in as “Hermes for normies.” My guess is Meta intentionally keeps the deeper capabilities out of sight because the target audience does not want a complicated Hermes/Grok Bot-style setup. They aren't trying to capture the nerdy Hermes using market, they want this to be an AI agent for normies but they don't limit it as such. What it advertises its for is far from what it actually can do with very little work. But Muse gets much more interesting once you stop thinking of its VM as the whole system. I joined the Muse VM to my Tailscale network, gave it SSH access to a restricted user on my home Ubuntu box, and now it can run commands and browser automation through hardware I already own. I figured out Muse can do this because I asked it if it had a Tailscale skill and it said it did, then after a series of "proceed" replies, it set it up for me outside of the parts where I had to join it. At that point, Muse stops being a “shopping assistant” and starts looking more like a control plane for your own infrastructure. With Tailscale + SSH/API access, it can potentially: • Manage Docker, VMs, NAS, Proxmox, and homelab services • Pull repos,

I built an agent skill registry where every skill is signed and human-moderated, because agents keep running untrusted code Hey [r/AI_Agents](r/AI_Agents) — long-time lurker, finally have something worth sharing. The problem I kept hitting: agents install "skills" that are just random code from the internet. No signatures, no review, no way to confirm what you're running is what the author actually published. The big marketplaces don't audit anything — earlier this year a malicious skill got pulled from one and stayed downloadable through their mirror. So I built the alternative: a free, open skill registry where every skill is Ed25519-signed by its author (verifiable before you install), every submission passes human moderation before going public, and there's install/rating telemetry so you can see what's actually used. 9 skills up so far — API debugging, browser automation patterns, headless Blender, video QC, web research, and a few more. Thin, I know. That's the honest state of it. It's live: https://muse.ai/s/skill-exchange-hk6ihmab3mxh Repo/API are open: https://github.com/sentientbias/skill-exchange If you build agent stuff I'd genuinely love feedback — and if you've

@jnyross

@jnyross

Muse Code adaptation of Lauren Tan's pstack engineering skills from Cursor: all 45 skills with upstream-verbatim bodies and only the install frontmatter adjusted for Muse.

@alphaparkinc

@alphaparkinc

A GenPark agent skill that compacts context into a high-density form for Muse Spark sessions.

@NatesVibeCode

@NatesVibeCode

Portable SKILL.md bundles for handing work to Muse, Antigravity, OpenCode, Grok Build, Cursor, Codex and Claude Code, each with supporting references.

@alamorre

@alamorre

A Codex skill for selectively delegating bounded implementation tasks to Muse Spark 1.3 while the Astra model keeps strategic decisions and final review.

@sureshsankaran

@sureshsankaran

A Muse workspace skill for managing GitHub repos through the REST API, including pushing directories via the Git Data API, with the token kept in the Muse vault.

@terramike

@terramike

A Muse skill that helps people buy crypto (XRP by default) with a card through Changelly, giving CoinGecko spot estimates, prefilled buy links and plain fee disclosure without any API keys.

@sureshsankaran

@sureshsankaran

A Muse workspace skill that manages a Tailscale tailnet from chat, listing devices and generating auth keys, with the API token held in the Muse vault and attached via a runtime surrogate.

@bertybirdbot

@bertybirdbot

A reusable skill pattern for connecting a Muse agent directly to site APIs instead of driving a browser: a vaulted credential, a surrogate-auth helper and a tiny CLI per service.

@stevysmith

@stevysmith

An MCP server and skill that reports live review times for AI app, connector and plugin stores, including Meta Muse, so builders can see how long a connector submission is taking.

@terramike

@terramike

Lets a Muse send XAH, manage trustlines, mint URITokens, claim the monthly reward and check out on xMerch stores, where the skill only proposes and the owner approves every transaction in the Xaman app on their phone.

@troioi-vn

@troioi-vn

delegate-to-muse is a Claude Code skill for handing repository work to Muse Code via muse exec, with a handoff template and checks for reviewing the diff and re-running tests rather than trusting the summary.

@youdotcom-oss

@youdotcom-oss

You.com's harness for evaluating Muse Glimmer 30B on DeepSearchQA with You.com MCP tools inside pi sessions. A custom RLM v5 extension reached F1 0.8054 on 50 tasks (0.6910 over 900x3) versus 0.50 for plain skill injection.

@metacpp

@metacpp

Hand-picked list of tools, extensions, skills, integrations and learning resources for Meta's Muse Code.

@Anil-matcha

@Anil-matcha

A community catalog of Meta Muse integrations and 150 connector skills with capability, authentication and permission notes, plus workflow templates for using Muse with connectors.

@LayerMakerLab

@LayerMakerLab

A Cloudflare Worker starter for Muse connectors that keeps upstream API keys server-side behind one bearer token, with an OpenAPI spec, SKILL.md template and proof checklist.

@siddicky

@siddicky

An oh-my-claudecode-style gated pipeline for the Muse Code CLI, from deep-interview to verified code, shipped as a native Muse plugin manifest with a skills fallback.

@jefalcon

@jefalcon

Native Muse Code plugin with 18 specialist skills, 7 orchestrator commands and turn/session-end notifications, installed via the omm npm CLI. Requires Muse Code 1.3.0+.

@danny-hines

@danny-hines

Call Muse Code from Codex or ChatGPT desktop via MCP tools and skills for independent code review, approach comparison or delegated implementation, using a Muse Code subscription or API key.

@hypery11

@hypery11

oh-my-musecode is a content bundle and CLI for Muse Code that installs 35 skills, slash commands, hooks, an MCP server and themes, with an ownership ledger so uninstall restores the machine byte for byte.

OpenTools maintains a source-backed directory of about 163 Muse connector setup guides, separating Meta-documented, partner-documented and community skills (e.g. HubSpot, Attio, Ashby, Plaid, Slack), with status labels such as draft or maintainer-tested.

Federico Ramirez uses Muse Code and Spark 1.3 for GitHub issue-to-PR workflows. He finds output readable and $15/month good for 2-4 hours of continuous coding, but skill execution inconsistent and the sandbox too restrictive.