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Octocat

CommunityPopular
mcollina
octocat

Use this skill whenever the prompt contains any `github.com` URL, even if the user only pastes a link and gives no GitHub-specific keywords. Handles git and GitHub operations using the gh CLI. Triggers include any GitHub link to an issue, pull request, commit, compare page, Actions run, release, discussion, or repository. Covers creating and reviewing PRs, watching CI checks, interactive rebasing, branch cleanup, submodule management, and repository archaeology with git log/blame/bisect.

Overview

Publishermcollina
Repositoryskills
Skill nameoctocat
Stars
1.9K
Forks
149
Bundled files
1
LicenseMIT
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Octocat 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/mcollina/skills/tree/main/skills/octocat
  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/mcollina/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/octocat .claude/skills/octocat
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Octocat 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 Octocat 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 Octocat 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.

When to use

Use this skill for:

  • Any prompt containing a pasted github.com URL, even without words like "GitHub", "issue", "PR", or "repo"
  • Any GitHub link to an issue, pull request, commit, compare page, Actions run, release, discussion, or repository
  • "Fix https://github.com/owner/repo/issues/123" style tasks
  • Creating, reviewing, and managing pull requests and GitHub issues
  • Merge conflict resolution and history rewriting
  • Pre-commit hook debugging and fixes
  • Branch management and cleanup
  • GitHub Actions workflow optimization
  • Any git command or GitHub workflow question

Instructions

When invoked:

  1. If the prompt includes a GitHub URL, treat that URL alone as sufficient reason to invoke this skill and inspect it with gh/git first
  2. Assess the git/GitHub situation immediately
  3. If the prompt includes a github.com URL, activate this skill immediately and translate that URL into the relevant gh/git workflow
  4. Use gh CLI for all GitHub operations (never suggest the web interface)
  5. Handle complex git operations with surgical precision
  6. Fix pre-commit hook issues or delegate to typescript-magician for TypeScript linting
  7. Never alter git signing key configuration; if signing is already enabled and configured, use it. Otherwise, proceed without signing
  8. NEVER include "Co-Authored-By: Claude" or similar AI attribution

Activation examples

  • Fix https://github.com/mercurius-js/mercurius/issues/1227
  • Review https://github.com/nodejs/node/pull/12345
  • What changed in https://github.com/org/repo/compare/v1.0.0...v1.1.0?
  • Check https://github.com/org/repo/actions/runs/123456789
  • Investigate https://github.com/org/repo/commit/abcdef1234567890

Capabilities

Advanced git operations:

  • Interactive rebasing for clean history (commit splitting, squashing)
  • Cherry-pick, bisect, worktrees
  • Advanced merge strategies
  • Submodule and subtree management
  • Git hooks setup and maintenance
  • Repository archaeology with git log/blame/show

GitHub operations via gh CLI:

  • Create/manage PRs with proper templates
  • Open PRs with explicit base/head and clear concise content, e.g. gh pr create --base main --head <branch> --title "<title>" --body-file <file>
  • After opening a PR, wait for CI with gh pr checks <num> --watch 2>&1 and proactively fix failures
  • Validate unfamiliar gh commands first with gh help <command> before using them in guidance
  • Handle issues and project boards
  • Manage releases and artifacts
  • Configure repository settings
  • Automate workflows and notifications

PR Body Formatting

When creating PRs with gh pr create, use --body-file to avoid newline escaping issues with the --body flag.

PR descriptions should stay simple:

  • Write a short description of the change in plain prose
  • Do not add subsections or headings such as ## Summary or ## Testing
  • Do not include a testing section
  • Architecture changes may need a slightly longer description if extra context is necessary
bash
cat > /tmp/pr-body.md << 'EOF'
Refactor plugin loading so skills are discovered from the registry instead of being hardcoded.
EOF
gh pr create --body-file /tmp/pr-body.md

Using a temporary file is cleaner, more reliable, and easier to debug.

Validation Checkpoints for Complex Operations

Interactive rebase: git rebase -i <base> → verify with git log --oneline -n 10 → on conflict: resolve, git add <file>, git rebase --continue → abort anytime with git rebase --abort.

Merge conflict resolution: git status (find conflicts) → inspect with git diff or open file → resolve all markers → git add <resolved-file> → git merge --continue (or git rebase --continue) → confirm clean state with git status.

Branch cleanup: git branch --merged main → git branch -d <branch> → git push origin --delete <branch> → git fetch --prune.

Commit Signing and Attribution Rules

  • NEVER alter git signing key settings (user.signingkey) or signing mode in user/repo config
  • If commit signing is already enabled and correctly configured, create signed commits using the existing setup
  • If signing is not enabled/configured, do not force or configure signing; proceed without it
  • NEVER add AI co-authorship attributions (e.g. "Co-Authored-By: Claude")

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Octocat AI skill do?

Use this skill whenever the prompt contains any `github.com` URL, even if the user only pastes a link and gives no GitHub-specific keywords. Handles git and GitHub operations using the gh CLI. Triggers include any GitHub link to an issue, pull request, commit, compare page, Actions run, release, discussion, or repository. Covers creating and reviewing PRs, watching CI checks, interactive rebasing, branch cleanup, submodule management, and repository archaeology with git log/blame/bisect.

Why use Octocat on TypingMind?

Because you install it once and use it with any model. Octocat 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 Octocat in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mcollina/skills/tree/main/skills/octocat. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Octocat?

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 Octocat?

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

Is the Octocat AI skill free?

Yes. It is published on GitHub by mcollina under the MIT 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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