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.
Tells the agent when to offer, and how to file, a feature request or bug report with the Muse team through a feature-request command line tool, only with your approval.
Install Muse Feedback Filer
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add win4r/MuseAI-Skills --skill muse-feedback -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install win4r/MuseAI-Skills muse-feedback --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/win4r/MuseAI-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/opt/hatch/skills/muse-feedback .claude/skills/muse-feedback && 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 "muse-feedback" agent skill from https://github.com/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/muse-feedback into .claude/skills/muse-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "muse-feedback", 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/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/muse-feedbackType 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 win4r/MuseAI-Skills --skill muse-feedback -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install win4r/MuseAI-Skills muse-feedback --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/win4r/MuseAI-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/opt/hatch/skills/muse-feedback .agents/skills/muse-feedback && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "muse-feedback" agent skill from https://github.com/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/muse-feedback into .agents/skills/muse-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "muse-feedback", 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 win4r/MuseAI-Skills --skill muse-feedback -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install win4r/MuseAI-Skills muse-feedback --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/win4r/MuseAI-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/opt/hatch/skills/muse-feedback .cursor/skills/muse-feedback && 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 "muse-feedback" agent skill from https://github.com/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/muse-feedback into .cursor/skills/muse-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "muse-feedback", 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/win4r/MuseAI-Skills.git --path opt/hatch/skills/muse-feedback--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 win4r/MuseAI-Skills --skill muse-feedback -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install win4r/MuseAI-Skills muse-feedback --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/win4r/MuseAI-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/opt/hatch/skills/muse-feedback .gemini/skills/muse-feedback && 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 "muse-feedback" agent skill from https://github.com/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/muse-feedback into .gemini/skills/muse-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "muse-feedback", 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 win4r/MuseAI-Skills muse-feedbackInstalls 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 win4r/MuseAI-Skills --skill muse-feedback -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/win4r/MuseAI-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/opt/hatch/skills/muse-feedback .github/skills/muse-feedback && 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 "muse-feedback" agent skill from https://github.com/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/muse-feedback into .github/skills/muse-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "muse-feedback", 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 win4r/MuseAI-Skills --skill muse-feedback -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install win4r/MuseAI-Skills muse-feedback --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/win4r/MuseAI-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/opt/hatch/skills/muse-feedback .opencode/skills/muse-feedback && 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 "muse-feedback" agent skill from https://github.com/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/muse-feedback into .opencode/skills/muse-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "muse-feedback", 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.
Facts
- Skill name
muse-feedback- GitHub stars
- 336
- Used in
- 1 other repo
- Token cost
- ~2.7k tokens
- SKILL.md length
- 1,549 words
- Files
- 1
- Skills in repo
- 25
- Repo updated
- First seen
- Licence
- None found
At a glance
Tells the agent when to offer, and how to file, a feature request or bug report with the Muse team through a feature-request command line tool, only with your approval.
- Works in 5 steps: Describe the feedback in terms any user… → Present the returned summary as an… → File it in the later turn, once the user… → …
- The agent says it cannot connect to a service or device you asked for
- SKILL.md covers Purpose, When to offer feedback, Positive feedback and Filing, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
This skill governs feedback to the Muse team, sent through a feature-request command line tool. Each report reaches the team as a private note and is not published. The agent offers once, in the same reply where it says it cannot do something you wanted: an integration it lacks, a capability it does not have, or a task that keeps failing at one specific point. It files only after you agree.
Every report carries a kind and a subject. A missing-integration report names an outside service or device, using its own name as a lowercase, dash-separated slug. A missing-capability report covers gaps with no outside service involved, and broken-behavior covers problems with Muse itself, including a connect flow that fails until you give up. Offering a workaround does not cancel the offer. The skill also tells the agent not to bring up slowness, cost, outages, sign-in failures, model quality or intentional restrictions on its own, and it applies when you ask to send, view, check or withdraw feedback.
When your agent uses it
- The agent says it cannot connect to a service or device you asked for
- A task keeps failing at the same step and you are about to give up
- You want to send a feature request to the Muse team
- You want to check or withdraw feedback you already filed
Example prompts
- “Send feedback to the Muse team that I want it to read my smartwatch sleep data.”
- “Show me the feedback I have filed with the Muse team so far.”
- “Withdraw my earlier request about scanning paper forms.”
- “Checkout on that store's website never loads, so please report it to the team.”
Requirements
- A Muse environment with the feature-request command line tool
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Describe the feedback in terms any user could share, free of private data
- Present the returned summary as an unsent draft, quoting it in full and
- File it in the later turn, once the user says yes. Pass the same --kind,
- Describe the report category in ordinary words, such as "a missing
- Read the error text when the command fails. Every refusal below recorded
What it can do on your machine
Read from SKILL.md and the folder at commit 38bbb45. 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 (its code samples are bash).
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
Muse Feedback Filer loads about 2.7k tokens when it runs. Until then it costs about 113 tokens; SKILL.md has 1,549 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.
Safety
Auto-check: warnings
The automated check found patterns that need a careful read before installing.
- WarningContains instruction-override wording (e.g. “without asking the user”)SKILL.md:162
a background retry, and do not tell the user you will make sure it lands.
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
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,549 words (~2,677 tokens).
“File a user's feedback with the Muse team via the feature-request CLI. Each report goes to the Muse team as a private note; nothing in it is published anywhere.”
- name
- muse-feedback
- title
- Muse feedback
- metadata.includeInPrompt
- true
Files
Just SKILL.md in opt/hatch/skills/muse-feedback of win4r/MuseAI-Skills.
Open the folder on GitHubat commit 38bbb45
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 win4r/MuseAI-Skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Muse Feedback Filer 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 |
|---|---|---|---|---|---|---|
| Muse Feedback Filer this skillwin4r/MuseAI-Skills | 336 | 1 repos | ~2.7k | Automated safety check: Warn | None | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Idea Refinementaddyosmani/agent-skills | 103k | 6 repos | ~2k | Automated safety check: Pass | MIT | |
| Hook Development for Claude Code Pluginsanthropics/claude-plugins-official | 38k | 10 repos | ~4.1k | Automated safety check: Notes | Apache-2.0 | |
| Using Superpowersfarm-fe/farm | 5.6k | 35 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Executing Plans Inlineobra/superpowers | 297k | 2 repos | ~5.1k | Automated safety check: Pass | MIT |
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- Official
Idea Refinement
addyosmani/agent-skills
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- Official
Hook Development for Claude Code Plugins
anthropics/claude-plugins-official
Explains how to write Claude Code plugin hooks, both prompt-based checks and bash commands, for events such as PreToolUse, Stop and SessionStart.
Using Superpowers
farm-fe/farm
A skill your agent uses when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
Executing Plans Inline
obra/superpowers
Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.
- Official
Skill Creator
Azure/azqr
Create new skills, modify and improve existing skills, and measure skill performance.
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Related
Categories
Questions about Muse Feedback Filer
What does Muse Feedback Filer do?
Tells the agent when to offer, and how to file, a feature request or bug report with the Muse team through a feature-request command line tool, only with your approval. This skill governs feedback to the Muse team, sent through a feature-request command line tool. Each report reaches the team as a private note and is not published.
When should I use Muse Feedback Filer?
Muse Feedback Filer fits situations like: the agent says it cannot connect to a service or device you asked for; A task keeps failing at the same step and you are about to give up; you want to send a feature request to the Muse team; you want to check or withdraw feedback you already filed.
How do I install Muse Feedback Filer in Claude Code?
Run `npx skills add win4r/MuseAI-Skills --skill muse-feedback -a claude-code`. Or copy the skill folder (opt/hatch/skills/muse-feedback in win4r/MuseAI-Skills) into .claude/skills/muse-feedback in your project. Claude Code loads it when a task matches its description.
How do I install Muse Feedback Filer in Codex?
Run `npx skills add win4r/MuseAI-Skills --skill muse-feedback -a codex`. Or copy the skill folder (opt/hatch/skills/muse-feedback in win4r/MuseAI-Skills) into .agents/skills/muse-feedback in your project. Codex loads it when a task matches its description.
Can I use Muse Feedback Filer 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 win4r/MuseAI-Skills --skill muse-feedback -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/muse-feedback, .gemini/skills/muse-feedback, .github/skills/muse-feedback and .opencode/skills/muse-feedback in your project.
What does Muse Feedback Filer need to run?
SKILL.md names no scripts, command-line tools or credentials: Muse Feedback Filer is instructions for the agent only. Our summary lists: A Muse environment with the feature-request command line tool.
Does Muse Feedback Filer 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 Muse Feedback Filer safe to install?
Our automated static check of SKILL.md flagged 1 warning(s): contains instruction-override wording (e.g. “without asking the user”). Read the flagged lines before installing; the check is not a guarantee either way.
What licence does Muse Feedback Filer use?
No licence was found for Muse Feedback Filer or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Muse Feedback Filer use?
About 2.7k tokens (SKILL.md is roughly 11k 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 Muse Feedback Filer?
Skills that share tags, products or a category with Muse Feedback Filer: MCP Server Builder (anthropics/skills, 180k stars), Idea Refinement (addyosmani/agent-skills, 103k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars) and Using Superpowers (farm-fe/farm, 5.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Muse Feedback Filer?
win4r (a GitHub user) maintains it in win4r/MuseAI-Skills, which has 336 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on September 28, 2026.
Source: win4r/MuseAI-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.