> Gates whether a code comment should exist and forces the ones that stay to explain why, not what. Use ALWAYS before writing or editing a comment in any language (Python, TypeScript, Go, Rust, SQL), and when reviewing a diff that adds comments. Not for user-facing copy (see `/writing-user-facing-copy`) or commit messages.
npx skills add https://github.com/PostHog/posthog --skill writing-code-comments
Run this before adding or editing any comment. The default is no comment. Good code with clear names carries most of its meaning on its own; a comment earns its place only when it tells a reader something the code cannot.
Before writing a comment, answer:
> What does this tell a future reader that the code itself doesn't?
If the answer is "it restates what the code does", delete it. Rename the variable or extract a function instead.
A comment worth keeping answers a _why_ the code can't:
# ATOMIC_REQUESTS is off, so wrap the two writes that must commit together// Stripe sends the amount in cents; the rest of our system uses dollars# Kept in sync with the enum in migrations/0042; update both# increment the counter above counter += 1// loop over users above for user of users# return the result above return resultIf a block needs narration to be followed, the fix is smaller functions and better names, not a comment.
Never record how the code got here. That belongs in the commit message and PR description, where it's attached to the diff and searchable. In the source it's noise that goes stale immediately.
# previously used a set here, switched to a list for ordering// per PR #1234 / # as discussed / # changed because the old way broke# AI: generated this helper / // agent: refactored# TODO(2024-01): remove after migration left in long after the migrationDelete it; the version history has it if it's needed again. Commented-out code is ambiguous to the next reader, who can't tell whether it's a note, a rollback plan, or an accident.
"""Gets the user by id.""" on get_user_by_id# type: string on an already-typed fieldWrite comments the way you'd write technical documentation: explicit and precise. State the reasoning so the reader does not have to infer it. Length is not a target in either direction: don't clip a comment to look terse, and don't pad it to look thorough. Say what needs saying and stop.
# do the thing — it's faster. Use a real connective instead ("because", "so that", "which means", "to avoid").The fix for the em-dash is the connective, not more words. A short comment is fine once the dash is gone:
# batch here — avoids N+1# batch here to avoid an N+1 against posthog_organizationmembershipTry, in order: (1) a better name, (2) a smaller function, (3) a type. Reach for a comment only when none of those can carry the meaning.
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.
Implement memory-safe programming with RAII, ownership, smart pointers, and resource management across Rust, C++, and C. Use when writing safe systems code, managing resources, or preventing memory bugs.
Python/HTSlib workflows for genomic files. Use when reading, querying, filtering, or writing SAM/BAM/CRAM, VCF/BCF, FASTA/FASTQ, or tabix data with pysam, including pileup, coverage, indexing, and CRAM references.
Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.
Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the details URL.
> Create, build, deploy, and localize declarative agents for M365 Copilot and Teams. USE THIS SKILL for ANY task involving a declarative agent — including localization, scaffolding, editing manifests, adding capabilities, and deploying. Localization requires tokenized manifests and language files that only this skill knows how to produce. "scaffold an agent", "new agent project", "add a capability", "add a plugin", "configure my agent", "deploy my agent", "fix my agent manifest", "edit my agent", "localize my agent", "add localization", "translate my agent", "multi-language agent", "add an API plugin", "add an MCP plugin", "add OAuth to my plugin", "review instructions", "improve instructions", "fix my instructions"
Documentation generation workflow covering API docs, architecture docs, README files, code comments, and technical writing.
Take posthog/writing-code-comments from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.