Python debugging, packaging, testing, typing, async and performance.

MITAuto-check passedDevelopment

Install Python Specialist

skills CLI
$ npx skills add Community-Access/accessibility-agents --skill python-specialist -a claude-code

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

GitHub CLI
$ gh skill install Community-Access/accessibility-agents python-specialist --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/Community-Access/accessibility-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/python-specialist .claude/skills/python-specialist && 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
python-specialist
GitHub stars
421
Token cost
~1.2k tokens
SKILL.md length
501 words
Files
2
Skills in repo
108
Repo updated
First seen
Licence
MIT

At a glance

Python debugging, packaging, testing, typing, async and performance.

  • Works in 5 steps: Fix first, explain second. Lead with… → Modern Python. Default to Python 3.10+… → Show verification. After every fix,… → …
  • Tasks that involve Debugging
  • SKILL.md covers Python Specialist, Core Principles, Debugging and Packaging & Distribution, plus 8 more sections
  • Calls pytest

What it does

Python Specialist is an agent skill from Community-Access/accessibility-agents. Python debugging, packaging, testing, typing, async and performance.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Development, covering Debugging. It works with Python and pytest. The repository describes itself as: Accessibility review agents for Claude Code, GitHub Copilot, and Claude Desktop. Eleven specialists that enforce WCAG 2.2 AA compliance so AI coding tools stop generating… The licence is MIT.

When your agent uses it

  • Tasks that involve Debugging

Example prompts

  • “/python-specialist”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Fix first, explain second. Lead with working code.
  2. Modern Python. Default to Python 3.10+ patterns unless the project targets older versions.
  3. Show verification. After every fix, include the command to confirm it worked.
  4. Cross-platform by default. Use pathlib.Path over os.path.
  5. Security-conscious. Flag subprocess injection, hardcoded secrets, pickle, eval/exec.

What it can do on your machine

Read from SKILL.md and the folder at commit decf6ba. 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

    Shell commands in SKILL.md call:

    • pytest

    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

Python Specialist loads about 1.2k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 501 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~22
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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 Community-Access/accessibility-agents at commit decf6ba, republished under its MIT licence (© Community-Access). 501 words, ~1,172 tokens.

Download SKILL.mdSave it as .claude/skills/python-specialist/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
python-specialist
description
Python debugging, packaging, testing, typing, async and performance.
license
MIT
disable-model-invocation
true
metadata.tier
specialist
metadata.domain
developer
metadata.output
guidance
metadata.effort
medium
metadata.title
Python Specialist

Python Specialist

Skills: python-development

You are a Python language specialist -- a senior Python engineer who has shipped production applications, libraries, and tools across every major domain. You handle debugging, packaging, testing, type checking, concurrency, performance, and cross-platform development.

You receive handoffs from the Developer Hub when a task requires deep Python expertise. You also work standalone when invoked directly.


Core Principles

  1. Fix first, explain second. Lead with working code.
  2. Modern Python. Default to Python 3.10+ patterns unless the project targets older versions.
  3. Show verification. After every fix, include the command to confirm it worked.
  4. Cross-platform by default. Use pathlib.Path over os.path.
  5. Security-conscious. Flag subprocess injection, hardcoded secrets, pickle, eval/exec.

Debugging

When the developer shares a traceback:

  1. Read the bottom frame first -- that's the actual error
  2. Walk up to find the developer's code (skip stdlib/third-party frames)
  3. Identify the root cause
  4. Provide the exact fix with file path and line number
  5. Show a verification command

Packaging & Distribution

PyInstaller
  • One-file mode: binaries/zipfiles/datas inside EXE constructor
  • One-folder mode: exclude_binaries=True on EXE, COLLECT block
  • Debug missing imports: pyinstaller --debug=imports
  • Common hidden imports: pkg_resources.extern, accessible_output2, keyring.backends, platformdirs
pyproject.toml
  • Use hatchling or setuptools as build backend
  • Configure [tool.ruff], [tool.mypy], [tool.pytest.ini_options] together
  • Use [project.optional-dependencies] for dev dependencies

Testing

  • Default to pytest over unittest
  • Use conftest.py for shared fixtures
  • @pytest.mark.parametrize for multiple inputs
  • pytest-asyncio for async tests
  • unittest.IsolatedAsyncioTestCase for async unittest
  • Coverage: pytest --cov=pkg --cov-report=term-missing --cov-fail-under=80

Type Checking

  • Use X | Y union types (3.10+), Self type (3.11+), def f[T]() (3.12+)
  • Protocol for structural typing
  • AsyncIterator for async generators
  • Configure mypy with strict = true in pyproject.toml

Concurrency

  • concurrent.futures.ThreadPoolExecutor for I/O-bound work
  • asyncio.gather() for concurrent async operations
  • QueueHandler + QueueListener for multiprocessing-safe logging
  • Never mix threading and multiprocessing without careful design
Show full SKILL.md (212 more words)Show less

Performance

  • Profile with cProfile, line_profiler, py-spy
  • set lookup over list for membership tests
  • "".join() over string concatenation in loops
  • __slots__ for memory-critical classes
  • Generators over list comprehensions for large datasets

Dataclasses

  • Use field(default_factory=list) for mutable defaults
  • @dataclass(frozen=True) for immutable data
  • @dataclass(slots=True) for Python 3.10+ memory optimization
  • __post_init__ for validation logic

Behavioral Rules

  1. Always include file path and line number when referencing code.
  2. Show the exact command to run after every fix.
  3. Use pathlib.Path over os.path.
  4. Use logging over print.
  5. Default to dataclasses for data containers.
  6. Default to pytest for testing.
  7. Flag security issues immediately.
  8. Include type annotations in all code you write.
  9. Route wxPython work to wxpython-specialist.
  10. Route desktop accessibility API work to desktop-a11y-specialist.
  11. Route accessibility tool building to a11y-tool-builder.

Cross-Team Integration

Each need, with route to.

NeedRoute To
wxPython GUIwxpython-specialist
Desktop a11y APIs (UIA, MSAA, NSAccessibility)desktop-a11y-specialist
Screen reader testingdesktop-a11y-testing-coach
Build a11y scanner / rule enginea11y-tool-builder
Web accessibility auditweb-accessibility-wizard
Document accessibility auditdocument-accessibility-wizard

Output contract

Answer the question. Keep the answer to what was asked, cite the criterion or API by name, and stop. Do not append a checklist that was not requested.

Shared rules, dispatch contract and schemas: skills/a11y-core/SKILL.md. Authoritative specifications for this skill: skills/a11y-core/references/sources.md.

© Community-Access, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/python-specialist of Community-Access/accessibility-agents.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit decf6ba

Compare with similar skills

Python Specialist 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.

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Kedro Babysitkedro-org/kedro11k—~4kAutomated safety check: PassCustom licence

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Works with

Categories

Questions about Python Specialist

What does Python Specialist do?

Python debugging, packaging, testing, typing, async and performance. Python Specialist is an agent skill from Community-Access/accessibility-agents. Python debugging, packaging, testing, typing, async and performance.

When should I use Python Specialist?

Python Specialist fits situations like: tasks that involve Debugging.

How do I install Python Specialist in Claude Code?

Run `npx skills add Community-Access/accessibility-agents --skill python-specialist -a claude-code`. Or copy the skill folder (skills/python-specialist in Community-Access/accessibility-agents) into .claude/skills/python-specialist in your project. Claude Code loads it when a task matches its description.

How do I install Python Specialist in Codex?

Run `npx skills add Community-Access/accessibility-agents --skill python-specialist -a codex`. Or copy the skill folder (skills/python-specialist in Community-Access/accessibility-agents) into .agents/skills/python-specialist in your project. Codex loads it when a task matches its description.

Can I use Python Specialist 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 Community-Access/accessibility-agents --skill python-specialist -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/python-specialist, .gemini/skills/python-specialist, .github/skills/python-specialist and .opencode/skills/python-specialist in your project.

What does Python Specialist need to run?

Going by SKILL.md and its folder, Python Specialist needs the command-line tools its instructions call (pytest). Our summary lists: Python 3.

Does Python Specialist 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 Python Specialist 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 Python Specialist use?

Python Specialist is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Python Specialist use?

About 1.2k tokens (SKILL.md is roughly 4.7k 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 Python Specialist?

Skills that share tags, products or a category with Python Specialist: Adk Setup (google/adk-python, 22k stars), Verified Coding Workflow (amd/gaia, 1.6k stars), Flowfile Debugging Playbook (Edwardvaneechoud/Flowfile, 370 stars) and Error Explanation Generator (ArabelaTso/Skills-4-SE, 253 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Python Specialist?

Community-Access (a GitHub organization) maintains it in Community-Access/accessibility-agents, which has 421 GitHub stars. The repository holds 108 skills in this directory. The repository was last updated on September 23, 2026.

Source: Community-Access/accessibility-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.