propose-jep
Skill233 starsChanged 37 days agoApache-2.0View on GitHub
Create a new Jumpstarter Enhancement Proposal (JEP)
In this repository8 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- .cursor/rules/creating-new-drivers.mdcCursor rule
- .cursor/rules/e2e-doc-sync.mdcCursor rule
- .cursor/rules/jep-process.mdcCursor rule
- .cursor/rules/project-structure.mdcCursor rule
- .cursor/rules/releasing-operator.mdcCursor rule
- .cursor/rules/working-with-operator.mdcCursor rule
- releaseSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 2 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 25
Before writing the JEP, ask the user clarifying questions to understand:
- Very specific: line 32
If the user provided a description in $ARGUMENTS, use it as a starting point but still ask about gaps.
- Distinctive: line 44
All mandatory sections based on the information gathered
- Very specific: line 49
Add the new JEP to the appropriate table in docs/source/contributing/jeps/index.md (Process, Standards Track, or Informational).
- Very specific: line 51
Add the new JEP file to the {toctree} directive at the bottom of docs/source/contributing/jeps/index.md.
≈ “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
Propose a JEP
You are helping the user create a new Jumpstarter Enhancement Proposal (JEP).
Context
JEPs are design documents for substantial changes to the Jumpstarter project - changes that affect multiple components, alter public APIs or protocols, or require community consensus. Read .cursor/rules/jep-process.mdc for the full process definition.
JEP topic: $ARGUMENTS
Steps
1. Determine the next JEP number
List existing files in docs/source/contributing/jeps/ and pick the next available incrementing integer. JEP-0000 through JEP-0009 are reserved for process/meta-JEPs, so start from JEP-0010 for regular proposals.
2. Gather information
Before writing the JEP, ask the user clarifying questions to understand:
- What problem does this solve? - The motivation section needs a concrete problem description.
- Who is affected? - Which components, drivers, or user workflows are impacted?
- What are the alternatives? - Each design decision needs at least two alternatives considered.
- What are the compatibility implications? - Does this break existing APIs, protocols, or workflows?
If the user provided a description in $ARGUMENTS, use it as a starting point but still ask about gaps.
3. Create the JEP file
Copy the template from docs/source/contributing/jeps/JEP-NNNN-template.md and create a new file at docs/source/contributing/jeps/JEP-NNNN-short-title.md where:
NNNNis the zero-padded next numbershort-titleis a descriptive slug derived from the proposal title
Fill in:
- The metadata table with the JEP number, title, author (ask the user), status
Draft, type, and today's date - All mandatory sections based on the information gathered
- Mark optional sections that need further input with TODO comments
4. Update the JEP index
Add the new JEP to the appropriate table in docs/source/contributing/jeps/index.md (Process, Standards Track, or Informational).
Add the new JEP file to the {toctree} directive at the bottom of docs/source/contributing/jeps/index.md.
5. Present the result
Show the user:
- The file path of the new JEP
- A summary of sections that are complete vs need further work
- Remind them to set status to
Discussionwhen the PR is ready for review - Remind them to apply the
jeplabel to their pull request
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.

