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Typing Exclusion Worker

OrganizationPopular
getsentry
typing-exclusion-worker

Python typing exclusion worker: remove assigned mypy exclusion modules in small scoped batches, fix typing issues, run validation, and produce a structured completion summary. Use when running parallel typing-debt workers or when asked to remove modules from pyproject mypy exclusion overrides.

Overview

Publishergetsentry
Repositoryskills
Skill nametyping-exclusion-worker
Stars
1K
Forks
53
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by getsentry on GitHub. Read the source before you install it.

Installation

Install the Typing Exclusion Worker AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/getsentry/skills/tree/main/skills/typing-exclusion-worker
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/getsentry/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/typing-exclusion-worker .claude/skills/typing-exclusion-worker
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Typing Exclusion Worker in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Typing Exclusion Worker on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Typing Exclusion Worker is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Typing Exclusion Worker

Purpose

Execute one assigned typing batch safely and predictably:

  • remove only assigned modules from mypy exclusions,
  • fix surfaced typing issues in scope,
  • run required checks,
  • return a consistent summary for the manager/orchestrator.

Inputs Required

Before starting, confirm these inputs exist in the task prompt:

  • worktree/branch name,
  • exact module list to remove from exclusion,
  • ownership/domain boundary,
  • expected validation commands (if customized).

If any are missing, ask for them before editing.

Scope Rules (Hard Constraints)

  1. Only remove assigned module entries from the mypy exclusion list in pyproject.toml.
  2. Keep code changes in assigned scope unless a direct dependency is required to pass typing/tests.
  3. Do not expand to cross-team modules unless explicitly approved by the manager.
  4. Avoid blanket # type: ignore; if unavoidable, use narrow ignore[code] with a short reason.

Execution Workflow

  1. Apply exclusion change

    • Remove assigned modules from the exclusion override in pyproject.toml.
  2. Run mypy on assigned scope

    • Prefer targeted paths first for fast feedback.
    • Fix errors using explicit typing patterns (isinstance narrowing, accurate return types, typed class attrs, relation-safe model access).
  3. Run tests for touched area

    • Execute targeted pytest for modified modules/tests.
    • Fix regressions before continuing.
  4. Run pre-commit on changed files

    • Run pre-commit run --files <changed files>.
    • If hooks auto-fix files, rerun until clean.
  5. Final verification

    • Re-run targeted mypy and tests after final edits.
    • Ensure no unrelated files were changed.

Python Typing Best Practices

  • Prefer precise types over Any.
  • Use type narrowing on unions before attribute access.
  • Keep method overrides signature-compatible with base classes.
  • Annotate class attributes in tests/helpers when inference is weak.
  • Use relation objects (obj.related) when stubs do not expose raw *_id attributes.

Required Output Template

Return this exact structure at the end of each batch:

markdown
## Batch Summary

- Branch/worktree: `<name>`
- Ownership/domain: `<team-or-domain>`

### Modules Removed From Exclusion

- `<module.path.one>`
- `<module.path.two>`

### Files Changed

- `<path>`
- `<path>`

### Key Typing Fixes

- `<short rationale + fix>`
- `<short rationale + fix>`

### Validation

- `mypy`: `<pass/fail + scope>`
- `pre-commit --files`: `<pass/fail>`
- `pytest`: `<pass/fail + scope>`

### Notes

- Remaining blockers: `<none or details>`
- Any new ignore entries: `<none or file + ignore code + reason>`

Stop Conditions (Escalate to Manager)

Stop and report instead of widening scope when:

  • fixes require touching another team/domain,
  • exclusion conflicts in pyproject.toml cannot be resolved safely,
  • error volume indicates batch is too large and should be split.

Frequently asked questions

What does the Typing Exclusion Worker AI skill do?

Python typing exclusion worker: remove assigned mypy exclusion modules in small scoped batches, fix typing issues, run validation, and produce a structured completion summary. Use when running parallel typing-debt workers or when asked to remove modules from pyproject mypy exclusion overrides.

Why use Typing Exclusion Worker on TypingMind?

Because you install it once and use it with any model. Typing Exclusion Worker is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Typing Exclusion Worker in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/getsentry/skills/tree/main/skills/typing-exclusion-worker. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Typing Exclusion Worker?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Typing Exclusion Worker?

As many as you like. As long as a model supports skills, you can use Typing Exclusion Worker with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Typing Exclusion Worker AI skill free?

Yes. It is published on GitHub by getsentry under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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