Agent skill

Repomatic Topics

by kdeldycke in kdeldycke/dotfiles

Optimize a repository's GitHub topics. An agent skill from kdeldycke/dotfiles.

BSD-2-ClauseAuto-check: notes

Install Repomatic Topics

skills CLI
$ npx skills add kdeldycke/dotfiles --skill repomatic-topics -a claude-code

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

GitHub CLI
$ gh skill install kdeldycke/dotfiles repomatic-topics --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/kdeldycke/dotfiles.git skills-src && mkdir -p .claude/skills && cp -r skills-src/dotfiles/.agents/skills/repomatic-topics .claude/skills/repomatic-topics && 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
repomatic-topics
GitHub stars
173
Token cost
~843 tokens
SKILL.md length
395 words
Files
1
Skills in repo
25
Repo updated
First seen
Licence
BSD-2-Clause

At a glance

Optimize a repository's GitHub topics. An agent skill from kdeldycke/dotfiles.

  • Works in 5 steps: Inventory features. Read the codebase… → Assess current topics. For each existing… → Classify competitiveness. For each topic → …
  • SKILL.md covers Context and Instructions
  • Calls gh; reaches github.com

What it does

Repomatic Topics is an agent skill from kdeldycke/dotfiles. Optimize a repository's GitHub topics. Analyze the competition on each topic page, then pick the topics that make the project easier to find.

Its SKILL.md is about 840 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code. Recommended model: Sonnet.

It works with GitHub. The repository describes itself as: 🍎 macOS dotfiles for Python developers. The licence is BSD-2-Clause.

Example prompts

  • “/repomatic-topics”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code. Recommended model: Sonnet.
  • Pre-approved tools (allowed-tools): Bash, Read, Grep, Glob, WebFetch, WebSearch, Agent, Edit

Workflow steps

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

  1. Inventory features. Read the codebase (CLI commands, workflows, config options) to understand what the project actually does.
  2. Assess current topics. For each existing topic, fetch https://github.com/topics/{topic} and evaluate
  3. Classify competitiveness. For each topic
  4. Propose candidate topics. Search for niche topics where the repo could rank in the top 3. Look for
  5. Present recommendations. Show a table with

What it can do on your machine

Read from SKILL.md and the folder at commit 7947d0f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read
    • Grep
    • Glob
    • WebFetch
    • WebSearch
    • Agent
    • Edit

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • gh

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    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.

  • Compatibility

    Designed for Claude Code. Recommended model: Sonnet.

    From compatibility in the SKILL.md frontmatter.

Context cost

Repomatic Topics loads about 843 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 395 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~843

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read, Grep, Glob, WebFetch, WebSearch, Agent, Edit

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 kdeldycke/dotfiles at commit 7947d0f, republished under its BSD-2-Clause licence (© kdeldycke). 395 words, ~843 tokens.

Download SKILL.mdSave it as .claude/skills/repomatic-topics/SKILL.md (or your agent's skills folder).
name
repomatic-topics
description
Optimize a repository's GitHub topics. Analyze the competition on each topic page, then pick the topics that make the project easier to find.
allowed-tools
Bash, Read, Grep, Glob, WebFetch, WebSearch, Agent, Edit
compatibility
Designed for Claude Code. Recommended model: Sonnet.
argument-hint
[audit|apply]

Context

!grep -A1 '^\[project\]' pyproject.toml 2>/dev/null | tail -1 !gh api repos/{owner}/{repo} --jq '.topics | join(", ")' 2>/dev/null || echo "NO_GH_ACCESS"

Instructions

You help users optimize their GitHub repository topics (tags) for maximum discoverability, balancing accuracy with competitive positioning on GitHub topic pages.

Determine repository
  • Read pyproject.toml for the project name, description, and keywords list.
  • Use gh api to fetch the current GitHub topics from the repo.
Argument handling
  • audit (default when $ARGUMENTS is empty): Analyze current topics and recommend changes. Do not apply.
  • apply: Analyze, confirm with the user, then apply via gh api --method PUT repos/{owner}/{repo}/topics.
Analysis process
  1. Inventory features. Read the codebase (CLI commands, workflows, config options) to understand what the project actually does.

  2. Assess current topics. For each existing topic, fetch https://github.com/topics/{topic} and evaluate:

    • How many repos use the topic.
    • What star count is needed to appear on page 1 (above the fold).
    • Whether this repo can realistically rank there.
  3. Classify competitiveness. For each topic:

    • High competition (page 1 requires 10k+ stars): effectively invisible. Drop unless the topic is core identity.
    • Medium (page 1 requires 1k-10k stars): keep only if the repo is borderline viable.
    • Low/niche (page 1 requires <1k stars or few total repos): high ROI — keep or add.
  4. Propose candidate topics. Search for niche topics where the repo could rank in the top 3. Look for:

    • Feature-specific topics (e.g., github-labels, reusable-workflows) over generic ones (e.g., labels, ci-cd).
    • Compound topics that narrow the audience (e.g., python-automation vs automation).
    • Topics with few repos where claiming them gives instant #1 ranking.
  5. Present recommendations. Show a table with:

    • Topics to keep (with rank assessment).
    • Topics to drop (with reason: too competitive, inaccurate, etc.).
    • Topics to add (with repo count and expected rank).
Show full SKILL.md (110 more words)Show less

GitHub allows up to 20 topics. Fill all 20 slots — unused slots are wasted discoverability.

Required topics for awesome lists

If the repository name starts with awesome-, it must have both the awesome and awesome-list topics. This is enforced by awesome-lint. Flag any missing required topic during audit, and add them during apply.

After analysis
  • Confirm changes with the user before applying.
  • When applying, update both GitHub topics (gh api --method PUT repos/{owner}/{repo}/topics) and pyproject.toml keywords to stay in sync.
  • The pyproject.toml keywords serve PyPI search — keep them aligned with GitHub topics.
Next steps

Push the change: lint.yaml validates the updated pyproject.toml, and the new GitHub topics take effect immediately.

© kdeldycke, BSD-2-Clause. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in dotfiles/.agents/skills/repomatic-topics of kdeldycke/dotfiles.

Open the folder on GitHubat commit 7947d0f

Compare with similar skills

Repomatic Topics 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.

Repomatic Topics compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Repomatic Topics this skillkdeldycke/dotfiles173—~843Automated safety check: NotesBSD-2-Clause
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Diagnosing Superpowers Sessionsobra/superpowers296k3 repos~1.7kAutomated safety check: PassMIT
GitHub Deep Researchbytedance/deer-flow83k5 repos~1.3kAutomated safety check: PassMIT
Greplooponyx-dot-app/onyx32k4 repos~3.3kAutomated safety check: PassMIT
Update V8 Versionopeninterpreter/openinterpreter69k2 repos~845Automated safety check: PassApache-2.0

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Works with

Questions about Repomatic Topics

What does Repomatic Topics do?

Optimize a repository's GitHub topics. An agent skill from kdeldycke/dotfiles. Repomatic Topics is an agent skill from kdeldycke/dotfiles. Optimize a repository's GitHub topics.

How do I install Repomatic Topics in Claude Code?

Run `npx skills add kdeldycke/dotfiles --skill repomatic-topics -a claude-code`. Or copy the skill folder (dotfiles/.agents/skills/repomatic-topics in kdeldycke/dotfiles) into .claude/skills/repomatic-topics in your project. Claude Code loads it when a task matches its description.

How do I install Repomatic Topics in Codex?

Run `npx skills add kdeldycke/dotfiles --skill repomatic-topics -a codex`. Or copy the skill folder (dotfiles/.agents/skills/repomatic-topics in kdeldycke/dotfiles) into .agents/skills/repomatic-topics in your project. Codex loads it when a task matches its description.

Can I use Repomatic Topics 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 kdeldycke/dotfiles --skill repomatic-topics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/repomatic-topics, .gemini/skills/repomatic-topics, .github/skills/repomatic-topics and .opencode/skills/repomatic-topics in your project.

What does Repomatic Topics need to run?

Going by SKILL.md and its folder, Repomatic Topics needs the command-line tools its instructions call (gh). Its frontmatter pre-approves these tools: Bash, Read, Grep, Glob, WebFetch, WebSearch, Agent, Edit. Compatibility (from SKILL.md): Designed for Claude Code. Recommended model: Sonnet..

Does Repomatic Topics access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Repomatic Topics safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Repomatic Topics use?

Repomatic Topics is published under the BSD-2-Clause licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Repomatic Topics use?

About 843 tokens (SKILL.md is roughly 3.4k 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 Repomatic Topics?

Skills that share tags, products or a category with Repomatic Topics: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Diagnosing Superpowers Sessions (obra/superpowers, 296k stars), GitHub Deep Research (bytedance/deer-flow, 83k stars) and Greploop (onyx-dot-app/onyx, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Repomatic Topics?

kdeldycke (a GitHub user) maintains it in kdeldycke/dotfiles, which has 173 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 4, 2026.

Source: kdeldycke/dotfiles on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.