rollout-settings
Skill1 starsChanged 36 days agoMIT-0View on GitHub
Elicitly demo (starts nothing). Collect staged-rollout settings for the sample Brightwater Portal release in one form. Use only when the user asks to set up the Brightwater Portal demo rollout or to run the rollout-settings demo.
In this repository7 other files it gives its agents.
- AGENTS.mdAGENTS.md
- account-enrichmentSkill
- jupiter-moonsSkill
- release-go-no-goSkill
- renewal-approvalSkill
- salespeople-leaderboardSkill
- which-accountSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 18
Call elicit_form with timeoutSeconds: 600 (a five-field form takes a while to fill in), the message Configure the Brightwater Portal v3.2.0 …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Rollout settings
Demo. Uses made-up sample data from
assets/, connects to no real system, and changes nothing. It's a reference for how to use Elicitly: adapt it to your own data and systems.
One elicit_form dialog collects every answer the rollout needs — text, a
number, a toggle, a single choice and a multi-choice — instead of five rounds
of chat questions.
Steps
Call
elicit_formwithtimeoutSeconds: 600(a five-field form takes a while to fill in), the messageConfigure the Brightwater Portal v3.2.0 rollout, and thisrequestedSchema:{ "type": "object", "properties": { "releaseName": { "type": "string", "title": "Release name", "description": "Shown in the changelog", "maxLength": 50 }, "rolloutPercent": { "type": "integer", "title": "Initial rollout %", "minimum": 0, "maximum": 100, "default": 10 }, "notifyCustomers": { "type": "boolean", "title": "Email customers", "default": false }, "channel": { "type": "string", "title": "Channel", "oneOf": [ { "const": "stable", "title": "Stable" }, { "const": "beta", "title": "Beta" }, { "const": "canary", "title": "Canary" } ], "default": "beta" }, "regions": { "type": "array", "title": "Regions", "minItems": 1, "items": { "type": "string", "enum": ["us-east", "eu-west", "ap-south"] }, "default": ["us-east"] } }, "required": ["releaseName", "rolloutPercent", "channel", "regions"] }- Act on
action:accept: restate the plan in one sentence fromcontent(for example, "Rolling out 'Autumn release' to 10% of beta users in us-east, without customer email."). This demo starts nothing; say "In a real skill, the rollout would start here."declineorcancel: acknowledge and stop.error: the dialog couldn't be shown or timed out. Don't guess the settings; offer to try again.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

