python-pep-author
Drafting Python Enhancement Proposals (PEPs) — proposing a Python language feature, a standard library change, an interoperability standard, or an…
Skill by pproenca
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: documents, writing
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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- Secrets
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- Install scripts
- None found
- Runs as
- Shell scripts
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/python-pep-author
What's inside
- Skill name
python-pep-author- Description
- Drafting Python Enhancement Proposals (PEPs) — proposing a Python language feature, a standard library change, an interoperability standard, or an informational/process document for the Python community. Covers all three PEP types (Standards Track, Informational, Process): choosing the right type, scaffolding a valid reStructuredText pep-NNNN file, filling each required section to the acceptance bar, linting the headers, and navigating the sponsor / submission / Steering Council review process. Trigger on "write a PEP", "draft a PEP", "propose a Python feature", "create a Python Enhancement Proposal", "PEP template", or when someone is preparing a proposal for the Python Discourse or python-dev. Use it even if the user only says "PEP" or doesn't mention reStructuredText — the headers, sections, and process are exactly what trips PEP authors up.
- License
- MIT
- Instructions
- 149 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (11)
- SKILL.md
- pep-template.rst · assets/templates/
- gotchas.md
- metadata.json
- header-fields.md · references/
- pep-types.md · references/
- sections.md · references/
- status-lifecycle.md · references/
- workflow.md · references/
- check-pep.sh · scripts/
- new-pep.sh · scripts/
SKILL.md (first lines)
# Write a Python Enhancement Proposal (PEP)
A PEP is the design document the Python community uses to propose a new language
feature, a stdlib change, an interoperability standard, or a process/informational
guideline. This skill takes an author from a rough idea to a correctly-formatted,
process-compliant draft ready for submission to the [python/peps](https://github.com/python/peps)
repository.
The hard parts of a PEP are not the prose — they are getting the **type** right,
the **header preamble** valid, the **sections** complete to the acceptance bar,
and following the **process** (vetting, sponsorship, review). This skill bundles
two scripts for the deterministic parts and reference docs for the judgement calls.
## When to Apply
- The user asks to **write / draft / structure a PEP** or a "Python Enhancement Proposal".
- The user wants to **propose a Python language or standard-library feature** and needs it written up formally.
- The user has an idea they've been discussing on the Python Discourse and wants to **turn it into a PEP draft**.
- The user needs the **PEP template, header fields, or section structure** explained or generated.
- The user is **revising an existing PEP** (changing status, adding a Resolution, addressing review feedback).
Do **not** use this skill for internal company RFCs / design docs (use `dev-rfc`) — a
PEP is specifically a proposal to the upstream CPython / Python community governed by
[PEP 1](https://peps.python.org/pep-0001/).
## Prerequisites
- **Bash + coreutils** (`awk`, `sed`, `grep`, `date`) for the two scripts — present by default on macOS/Linux.
- A clone of, or a fork of, [github.com/python/peps](https://github.com/python/peps) only when you're ready to *submit* (Step 6). Drafting needs no repo.
- No Python runtime is required to draft or lint; the reference implementation (if any) is the author's separate codebase.
## Workflow Overview
```
1. Vet the idea ────► 2. Choose the type ────► 3. Scaffold the file
(is it PEP-able?) (Standards/Info/Process) (scripts/new-pep.sh)
│
6. Submit ◄──── 5. Self-check ◄──── 4. Draft each section
(sponsor, PR) (scripts/check-pep.sh) (to the acceptance bar)
│
▼
7. Review & resolution ──► update Status + Resolution header
```
### 1. Vet the idea (before writing anything)
A PEP that duplicates prior work or isn't community-wide in scope will be rejected on
sight. Post the idea to the **Ideas** category of the [Python Discourse](https://discuss.python.org/c/ideas/6)
first (or the Typing / Packaging category if specialised). Confirm it's original,
applicable to the whole community, and not already settled by a past discussion.
See [references/workflow.md](references/workflow.md) for venues and what to check.
### 2. Choose the PEP type
There are exactly three: **Standards Track**, **Informational**, **Process**. The type
determines required headers (e.g. `Python-Version`, `Resolution`) and the bar for
acceptance. Pick with [references/pep-types.md](references/pep-types.md).
### 3. Scaffold the file
Generate a valid, correctly-headed reStructuredText file rather than hand-typing the
preamble (the field set and ordering are exact):
```bash
scripts/new-pep.sh \
--title "A short descriptive title" \
--author "Random J. User <random@example.com>" \
--type "Standards Track" \
--python-version 3.15 # Standards Track only; omit otherwise
```
This writes `pep-9999.rst` (`9999` = placeholder; PEP editors assign the real number),
sets `Status: Draft` and today's `Created` date, and enforces the 44-character title
limit. Run `scripts/new-pep.sh` with no args for full usage.
### 4. Draft each section
Fill the body sections in the canonical PEP 12 order: **Abstract → Motivation →
Specification → Rationale → Backwards Compatibility → Security Implications → How to
Teach This → Reference Implementation → Rejected Ideas → Open Issues →
Acknowledgements → Footnotes → Change History → Copyright**.
Each section has a specific job and a quality bar — read
[references/sections.md](references/sections.md) before drafting, and consult
[references/header-fields.md](references/header-fields.md) for any header you need to
fill in (Sponsor, Discussions-To, Requires, etc.).
The acceptance bar (from PEP 1): the proposal must be a **clear and complete**
description, represent a **net improvement**, have a **solid** implementation that
doesn't unduly complicate the interpreter, and be **"pythonic"**. Write to that bar.
### 5. Self-check the draft
Lint the headers and required structure before showing it to anyone:
```bash
scripts/check-pep.sh pep-9999.rst
```
It verifies the required headers are present, the title length, valid `Status`/`Type`
values, the `Created` date format, the mandatory CC0 copyright notice, and an
`Abstract` section — reporting PASS / WARN / FAIL and exiting non-zero on any FAIL.
Fix every FAIL.
### 6. Submit
If **no co-author is a CPython core developer**, you must first find a **sponsor**
(a core developer who shepherds the PEP). Then fork python/peps, add `pep-NNNN.rst`,
list authors/sponsors in `.github/CODEOWNERS`, and open a pull request. PEP editors
review for format and soundness and assign the number. Full steps and the role
definitions are in [references/workflow.md](references/workflow.md).
### 7. Review & resolution
When the authors (and sponsor) judge it ready, content review and the
accept/reject decision rest with the **Steering Council** (or an appointed
**PEP-Delegate**). On a decision, update the `Status` and add a `Resolution`
header linking to the pronouncement. The full status lifecycle and valid
transitions are in [references/status-lifecycle.md](references/status-lifecycle.md).
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Signals
- Stars
- 218
- Forks
- 19
- Open issues
- 3
- Last commit (this folder)
- Jul 5, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/pproenca/dot-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
python-pep-author skill. Agent Mart. https://agentmart.dev/skills/pproenca-python-pep-author (last updated 2026-10-24)