Image Visual Check
jjjkkkjjj/Matft
Procedure for adding tests for Matft's image processing (Matft.image., indexing or channel swapping on images, etc.), generating comparison images that put the result next to an OpenCV reference…
Review and improve Python docstrings for Great Docs API reference generation.
$ npx skills add pymc-labs/pathmc --skill revise-docstrings -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install pymc-labs/pathmc revise-docstrings --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/pymc-labs/pathmc.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/revise-docstrings .claude/skills/revise-docstrings && rm -rf skills-srcUse ~/.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/
Install the "revise-docstrings" agent skill from https://github.com/pymc-labs/pathmc/tree/main/.agents/skills/revise-docstrings into .claude/skills/revise-docstrings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "revise-docstrings", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/pymc-labs/pathmc/tree/main/.agents/skills/revise-docstringsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add pymc-labs/pathmc --skill revise-docstrings -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install pymc-labs/pathmc revise-docstrings --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pymc-labs/pathmc.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/revise-docstrings .agents/skills/revise-docstrings && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "revise-docstrings" agent skill from https://github.com/pymc-labs/pathmc/tree/main/.agents/skills/revise-docstrings into .agents/skills/revise-docstrings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "revise-docstrings", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add pymc-labs/pathmc --skill revise-docstrings -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install pymc-labs/pathmc revise-docstrings --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pymc-labs/pathmc.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/revise-docstrings .cursor/skills/revise-docstrings && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "revise-docstrings" agent skill from https://github.com/pymc-labs/pathmc/tree/main/.agents/skills/revise-docstrings into .cursor/skills/revise-docstrings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "revise-docstrings", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/pymc-labs/pathmc.git --path .agents/skills/revise-docstrings--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add pymc-labs/pathmc --skill revise-docstrings -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install pymc-labs/pathmc revise-docstrings --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pymc-labs/pathmc.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/revise-docstrings .gemini/skills/revise-docstrings && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "revise-docstrings" agent skill from https://github.com/pymc-labs/pathmc/tree/main/.agents/skills/revise-docstrings into .gemini/skills/revise-docstrings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "revise-docstrings", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install pymc-labs/pathmc revise-docstringsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add pymc-labs/pathmc --skill revise-docstrings -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/pymc-labs/pathmc.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/revise-docstrings .github/skills/revise-docstrings && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "revise-docstrings" agent skill from https://github.com/pymc-labs/pathmc/tree/main/.agents/skills/revise-docstrings into .github/skills/revise-docstrings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "revise-docstrings", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add pymc-labs/pathmc --skill revise-docstrings -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install pymc-labs/pathmc revise-docstrings --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pymc-labs/pathmc.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/revise-docstrings .opencode/skills/revise-docstrings && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "revise-docstrings" agent skill from https://github.com/pymc-labs/pathmc/tree/main/.agents/skills/revise-docstrings into .opencode/skills/revise-docstrings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "revise-docstrings", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
revise-docstringsReview and improve Python docstrings for Great Docs API reference generation.
Revise Docstrings is an agent skill from pymc-labs/pathmc. Review and improve Python docstrings for Great Docs API reference generation. Covers NumPy and Google style conventions, parameter documentation, return types, examples, cross-references, and Great Docs directives (%seealso, %nodoc). Use when auditing, writing, or fixing docstrings in a Python package.
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/docstring-checklist.md` and `references/style-examples.md`). Compatibility notes: Requires Great Docs =0.8, Quarto CLI installed.
It sits in Development, covering Technical documentation. It works with NumPy and Python. The repository describes itself as: Structural causal models with Bayesian estimation and interventional simulation via a concise DSL. The licence is MIT.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit e3b9467. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python, bash and yaml).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires Great Docs >=0.8, Quarto CLI installed.
From compatibility in the SKILL.md frontmatter.
Revise Docstrings loads about 2.3k tokens when it runs, and up to ~4.3k if it reads all its reference files. Until then it costs about 80 tokens; SKILL.md has 674 words of instructions outside code blocks.
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.
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.
The full file from pymc-labs/pathmc at commit e3b9467, republished under its MIT licence (© pymc-labs). 674 words, ~2,272 tokens.
.claude/skills/revise-docstrings/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Skill for reviewing and improving Python docstrings so they render correctly and completely in a Great Docs API reference site.
# Preview what Great Docs will document
great-docs scan --verbose
# Build and check the rendered reference
great-docs build && great-docs previewskills/revise-docstrings/
├── SKILL.md
└── references/
├── docstring-checklist.md
└── style-examples.md| Need | Action |
|---|---|
| Audit docstring completeness | Run checklist on each public symbol |
| Convert Google→NumPy (or reverse) | Reformat following style-examples.md |
| Add missing parameter descriptions | Fill in Parameters section |
| Add a live example | Use Examples section with >>> prompts |
| Cross-reference related symbols | Add %seealso directive |
| Hide an internal symbol | Add %nodoc directive |
| Fix rendering issues | Check against common pitfalls below |
Great Docs supports two formats. Set the parser in config:
# great-docs.yml
parser: numpy # or "google"Both produce identical rendered output. Use whichever your codebase already uses.
def connect(host: str, port: int = 5432) -> Connection:
"""
Open a connection to the database server.
Establishes a TCP connection to the specified host and port, authenticates
with default credentials, and returns an active connection handle.
Parameters
----------
host
Hostname or IP address of the database server.
port
TCP port number. Defaults to `5432`.
Returns
-------
Connection
An authenticated connection ready for queries.
Raises
------
ConnectionError
If the server is unreachable.
Examples
--------
Connect to a local server and run a simple query:
```{python}
conn = connect("localhost")
conn.execute("SELECT 1")
```
See Also
--------
disconnect : Close a connection.
Notes
-----
The connection uses TLS by default when port 5433 is specified.
"""def connect(host: str, port: int = 5432) -> Connection:
"""Open a connection to the database server.
Establishes a TCP connection to the specified host and port, authenticates
with default credentials, and returns an active connection handle.
Args:
host: Hostname or IP address of the database server.
port: TCP port number. Defaults to `5432`.
Returns:
An authenticated connection ready for queries.
Raises:
ConnectionError: If the server is unreachable.
Examples:
Connect and run a query:
```{python}
conn = connect("localhost")
conn.execute("SELECT 1")
```
"""| Section | NumPy header | Google header | Purpose |
|---|---|---|---|
| Summary | first line | first line | One-line description |
| Extended summary | body text | body text | Multi-paragraph explanation |
| Parameters | Parameters | Args: | Function/method arguments |
| Returns | Returns | Returns: | Return value description |
| Raises | Raises | Raises: | Exceptions that may be raised |
| Examples | Examples | Examples: | Usage examples (Quarto cells or >>>) |
| Notes | Notes | Notes: | Implementation details |
| See Also | See Also | — | Related symbols |
| Warns | Warns | — | Warnings issued |
| References | References | References: | Citations or links |
Special inline directives using % prefix:
def my_function():
"""
Description.
%seealso other_func, SomeClass: related utilities
%nodoc
"""| Directive | Effect |
|---|---|
%seealso | Renders a "See Also" box with cross-reference links |
%nodoc | Excludes this symbol from the API reference |
host
not host : str) and let the signature annotation render on the
reference page.host : str), it
overwrites the annotation in the rendered output. This can be
useful to show a simplified form (e.g., str or Path instead of
str | pathlib.Path), but it creates a maintenance risk: the
docstring type and the annotation can drift apart silently.Task Progress:
- [ ] Step 1: List public API
- [ ] Step 2: Check each symbol
- [ ] Step 3: Fix issues
- [ ] Step 4: Rebuild and verifyStep 1: Run great-docs scan --verbose to see every symbol
Great Docs will document.
Step 2: For each symbol, run through the checklist in references/docstring-checklist.md.
Step 3: Fix missing or incorrect sections. Use references/style-examples.md as a template.
Step 4: Rebuild with great-docs build and check the rendered
pages in the browser.
Raises if the function can raise exceptions.Examples section with Quarto code cells (preferred)
or >>> prompts. Use {python} for executable cells,
{.python} for display-only. Wrap cells with short prose.%seealso for closely related symbols.Common rendering problems and their fixes:
| Problem | Cause | Fix |
|---|---|---|
| Parameter not showing | Wrong indentation | Align to 4 spaces under section header |
| Code block not rendering | Missing blank line before code | Add blank line above cell or >>> |
| Type mismatch warning | Annotation ≠ docstring type | Remove type from docstring, keep annotation |
| Symbol missing from reference | Not exported in __init__.py | Add import to __init__.py |
| Entire docstring shown as prose | Wrong parser setting | Check parser: in great-docs.yml |
Args: for Google).%nodoc hides completely. Use exclude in config for
selective hiding without modifying source code.>>> prompts. {python} cells
render output automatically and support prose between steps.
Use {.python} for non-executable illustration.__init__. Great Docs
reads the class-level docstring for the class page.© pymc-labs, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in .agents/skills/revise-docstrings of pymc-labs/pathmc.
Open the folder on GitHubat commit e3b9467
Revise Docstrings 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Revise Docstrings this skillpymc-labs/pathmc | 132 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Image Visual Checkjjjkkkjjj/Matft | 147 | — | ~2.3k | Automated safety check: Pass | BSD-3-Clause | |
| Scientific DocumentationYikai-Liao/symusic | 189 | — | ~5.5k | Automated safety check: Pass | MIT | |
| Adk Sample Creatorgoogle/adk-python | 22k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Crafting Effective Readmescumbucadev/cinemaempoa | 146 | 5 repos | ~669 | Automated safety check: Pass | GPL-3.0 | |
| Python Performance Optimizationwshobson/agents | 40k | 13 repos | ~814 | Automated safety check: Pass | MIT |
jjjkkkjjj/Matft
Procedure for adding tests for Matft's image processing (Matft.image., indexing or channel swapping on images, etc.), generating comparison images that put the result next to an OpenCV reference…
Yikai-Liao/symusic
Set up and maintain documentation for scientific Python packages.
google/adk-python
Creates a new sample agent in the ADK Python repository — the sample directory, its agent.py, and its README.md — following the conventions the existing samples already use.
cumbucadev/cinemaempoa
A skill your agent uses when writing or improving README files.
wshobson/agents
Profiles slow Python code with cProfile and memory profilers, then applies targeted fixes for CPU, memory, I/O and query bottlenecks.
github/awesome-copilot
Maps an unfamiliar codebase into seven evidence-backed documents in docs/codebase/, using a scan script and templates, for onboarding or architecture write-ups.
pymc-labs/pathmc
Generate documentation sites for Python packages with Great Docs.
pymc-labs/pathmc
Author, configure, and distribute Agent Skills for a Great Docs site.
pymc-labs/pathmc
Configure a Great Docs documentation site through great-docs.yml.
pymc-labs/pathmc
Write and maintain narrative user-guide pages for a Great Docs site.
pymc-labs/pathmc
Autonomous bug-fix workflow. An agent skill from pymc-labs/pathmc.
pymc-labs/pathmc
Bayesian path analysis (observed-variable SEM) in PyMC. An agent skill from pymc-labs/pathmc.
Categories
Review and improve Python docstrings for Great Docs API reference generation. Revise Docstrings is an agent skill from pymc-labs/pathmc. Review and improve Python docstrings for Great Docs API reference generation.
Revise Docstrings fits situations like: fixing docstrings in a Python package; tasks that involve Technical documentation.
Run `npx skills add pymc-labs/pathmc --skill revise-docstrings -a claude-code`. Or copy the skill folder (.agents/skills/revise-docstrings in pymc-labs/pathmc) into .claude/skills/revise-docstrings in your project. Claude Code loads it when a task matches its description.
Run `npx skills add pymc-labs/pathmc --skill revise-docstrings -a codex`. Or copy the skill folder (.agents/skills/revise-docstrings in pymc-labs/pathmc) into .agents/skills/revise-docstrings in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add pymc-labs/pathmc --skill revise-docstrings -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/revise-docstrings, .gemini/skills/revise-docstrings, .github/skills/revise-docstrings and .opencode/skills/revise-docstrings in your project.
SKILL.md names no scripts, command-line tools or credentials: Revise Docstrings is instructions for the agent only. Our summary lists: Python 3. Compatibility (from SKILL.md): Requires Great Docs >=0.8, Quarto CLI installed..
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.
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.
Revise Docstrings is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Revise Docstrings: Image Visual Check (jjjkkkjjj/Matft, 147 stars), Scientific Documentation (Yikai-Liao/symusic, 189 stars), Adk Sample Creator (google/adk-python, 22k stars) and Crafting Effective Readmes (cumbucadev/cinemaempoa, 146 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
pymc-labs (a GitHub organization) maintains it in pymc-labs/pathmc, which has 132 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 2, 2026.
Source: pymc-labs/pathmc on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.