Agent skill

Loom Deploy

by valkor-ai in valkor-ai/loom

A skill your agent uses when the user invokes /loom deploy or /loom-deploy to prepare, run, inspect, validate, stop, bootstrap, or repair deployment through Loom MCP.

Apache-2.0Auto-check passedDevOps & Cloud

Install Loom Deploy

skills CLI
$ npx skills add valkor-ai/loom --skill loom-deploy -a claude-code

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

GitHub CLI
$ gh skill install valkor-ai/loom loom-deploy --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/valkor-ai/loom.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/claude-code/skills/loom-deploy .claude/skills/loom-deploy && 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
loom-deploy
GitHub stars
1.2k
Token cost
~546 tokens
SKILL.md length
252 words
Files
1
Skills in repo
17
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when the user invokes /loom deploy or /loom-deploy to prepare, run, inspect, validate, stop, bootstrap, or repair deployment through Loom MCP.

  • The user invokes /loom deploy
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • /loom-deploy to prepare
  • Repair deployment through Loom MCP

What it does

Loom Deploy is an agent skill from valkor-ai/loom. Use when the user invokes /loom deploy or /loom-deploy to prepare, run, inspect, validate, stop, bootstrap, or repair deployment through Loom MCP.

Its SKILL.md is about 550 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 DevOps & Cloud, covering Deployment. It works with Model Context Protocol. The repository describes itself as: Loop engineering for agentic software delivery. The licence is Apache-2.0.

When your agent uses it

  • The user invokes /loom deploy
  • /loom-deploy to prepare
  • Repair deployment through Loom MCP

Example prompts

  • “/loom-deploy”

What it can do on your machine

Read from SKILL.md and the folder at commit a30a7e6. 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

Loom Deploy loads about 546 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 252 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~546

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 valkor-ai/loom at commit a30a7e6, republished under its Apache-2.0 licence (© valkor-ai). 252 words, ~546 tokens.

Download SKILL.mdSave it as .claude/skills/loom-deploy/SKILL.md (or your agent's skills folder).
name
loom-deploy
description
Use when the user invokes /loom deploy or /loom-deploy to prepare, run, inspect, validate, stop, bootstrap, or repair deployment through Loom MCP.

loom-deploy

Deployment is controlled by Loom MCP deploy tools. Use the matching loom.deploy* tool and follow its structured action result. For user_gate with preResponseContract, execute the contract before any visible response: call loom.inspectRequest, then call loom.readFieldGroup for only required requestReadPlan.groups, and present the returned deployment decision.

During active_operation, call only the observation tools named by the result, obey observationPolicy, obey forbiddenActions, and do not report completion while finalResponsePolicy forbids it. During asset repair, edit only the returned generated deployment assets or the returned modelRepairRef, then call the returned retryTool; never edit generated source-model/topology/facts snapshots directly. Do not retry asset repair through loom.deployRun. During deploy execution repair, edit only the returned application/runtime files and submit through the returned repair submit tool.

Do not infer stack topology, generated file paths, preview URLs, ports, or repair scope outside the current MCP result.

Reference Loading

The current MCP deploy result remains the authority. Load no reference by default; load deploy references only when the MCP result supplies an exact reference load plan.

Protocol:

  • After a deploy MCP result, look for next.deployReferenceProfile.referenceLoadPlan or details.deployReferenceProfile.referenceLoadPlan.
  • Each referenceLoadPlan entry contains refId, path, and reason. Resolve path relative to this skill's references/ directory.
  • Read only the listed paths. Do not infer extra files from refId, stack names, failure text, or the references/ directory.
  • Use references as implementation guidance for generated or repaired deployment files; do not paste reference prose into deployment artifacts, repair results, or final chat output.
  • If the current deploy action has no deployReferenceProfile, leave deploy references unread.

© valkor-ai, Apache-2.0. 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 plugins/claude-code/skills/loom-deploy of valkor-ai/loom.

Open the folder on GitHubat commit a30a7e6

Compare with similar skills

Loom Deploy 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.

Loom Deploy compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Loom Deploy this skillvalkor-ai/loom1.2k—~546Automated safety check: PassApache-2.0
AWS Cdk Developmentzxkane/aws-skills3672 repos~2.5kAutomated safety check: PassMIT
Prepare Cloudflare Production DeploymentLubomirGeorgiev/cloudflare-workers-nextjs-saas-template786—~5.9kAutomated safety check: NotesMIT
Deploy Observabilityaliyun/alibabacloud-observability-mcp-server166—~2.6kAutomated safety check: NotesNone
Release Allpaperboytm/spool592—~1.1kAutomated safety check: PassCustom licence
Deploynoskillish/bankmcp276—~744Automated safety check: PassMIT

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Categories

Questions about Loom Deploy

What does Loom Deploy do?

A skill your agent uses when the user invokes /loom deploy or /loom-deploy to prepare, run, inspect, validate, stop, bootstrap, or repair deployment through Loom MCP. Loom Deploy is an agent skill from valkor-ai/loom. Use when the user invokes /loom deploy or /loom-deploy to prepare, run, inspect, validate, stop, bootstrap, or repair deployment through Loom MCP.

When should I use Loom Deploy?

Loom Deploy fits situations like: the user invokes /loom deploy; /loom-deploy to prepare; repair deployment through Loom MCP.

How do I install Loom Deploy in Claude Code?

Run `npx skills add valkor-ai/loom --skill loom-deploy -a claude-code`. Or copy the skill folder (plugins/claude-code/skills/loom-deploy in valkor-ai/loom) into .claude/skills/loom-deploy in your project. Claude Code loads it when a task matches its description.

How do I install Loom Deploy in Codex?

Run `npx skills add valkor-ai/loom --skill loom-deploy -a codex`. Or copy the skill folder (plugins/claude-code/skills/loom-deploy in valkor-ai/loom) into .agents/skills/loom-deploy in your project. Codex loads it when a task matches its description.

Can I use Loom Deploy 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 valkor-ai/loom --skill loom-deploy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/loom-deploy, .gemini/skills/loom-deploy, .github/skills/loom-deploy and .opencode/skills/loom-deploy in your project.

What does Loom Deploy need to run?

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

Does Loom Deploy 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 Loom Deploy 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 Loom Deploy use?

Loom Deploy is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Loom Deploy use?

About 546 tokens (SKILL.md is roughly 2.2k 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 Loom Deploy?

Skills that share tags, products or a category with Loom Deploy: AWS Cdk Development (zxkane/aws-skills, 367 stars), Prepare Cloudflare Production Deployment (LubomirGeorgiev/cloudflare-workers-nextjs-saas-template, 786 stars), Deploy Observability (aliyun/alibabacloud-observability-mcp-server, 166 stars) and Release All (paperboytm/spool, 592 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Loom Deploy?

valkor-ai (a GitHub organization) maintains it in valkor-ai/loom, which has 1,198 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 6, 2026.

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