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Octocode Skills

Community
bgauryy
octocode-skills

Use when working on Agent Skills (SKILL.md folders): find, compare, rate, review, create, improve, repair, install, or sync skills from local workspaces, registries, or remote sources. For wording-only prompt polish without folder ops, use octocode-prompt-optimizer.

Overview

Publisherbgauryy
Repositoryoctocode
Skill nameoctocode-skills
Stars
950
Forks
78
Bundled files
33
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.

  • 33 bundled files

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

  • Open source

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

Installation

Install the Octocode Skills 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/bgauryy/octocode/tree/main/skills/octocode-skills
  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/bgauryy/octocode.git /tmp/octocode
mkdir -p .claude/skills
cp -r /tmp/octocode/skills/octocode-skills .claude/skills/octocode-skills
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Octocode Skills 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 Octocode Skills 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 Octocode Skills 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.

Octocode Skills

Operate on standalone Agent Skill folders: SKILL.md plus optional references, scripts, and assets. Flow: UNDERSTAND → DISCOVER → INSPECT → JUDGE → RECOMMEND → USER GATE → ACT → CLEANUP → REVIEW → VERIFY.

Lobby rules

  • SKILL.md owns workflows, hard gates, and routes; each reference owns one concept and never restates the flow.
  • The lobby lists every reference and every script with when and how to use it, plus the workflows — no chunk is discoverable only by opening another file.
  • MUST read and navigate between routed reference files to understand the complete flow; this skill is intentionally simplified into reference units for efficiency, including reference-to-reference handoffs.
  • Inspect the real SKILL.md before quoting, judging, or installing; identify candidates by path and gate every write.
  • Stop when one fit is clear, two High candidates need a winner, three angles add nothing, or user/auth approval is pending.
  • Ship a standalone folder with one owner per concept; prune dead or duplicated material before done. Assume no sibling skill is installed: name a sibling to load, never depend on its files.

Smart routes — load only what the current step needs

  • When discovering, load references/search-playbook.md; choose a source with references/discovery-surfaces.md, parse manifests with references/discovery-manifests.md, and recover with references/recovery.md — search broadly enough without inventing candidates.
  • When judging, load references/quality-rubric.md for content fit and references/quality-signals.md for adoption/recency; when recommending, present through references/output-format.md — rank evidence, not popularity alone.
  • When designing structure, load references/skill-anatomy.md; write with references/skill-authoring.md, extract deterministic work with references/skill-scripts.md, and tune activation with references/description-tuning.md — keep the lobby lean and triggers strong.
  • When improving, load references/skill-improve.md; choose review/refactor mode with references/self-improvement.md, clean with references/skill-cleanup.md, and use references/improve-loop.md only if octocode-graph-eval is unavailable — preserve intent and require measurable acceptance.
  • Before done, load references/skill-review.md; interpret findings with references/skill-review-rules.md — enforce structure, navigation (lobby shows every chunk, routes state when/why, chunks declare entry and next hop, flow phases routed), prose, and standalone-folder gates.
  • When reviewing lifecycle automation, load references/hooks.md; when adding it, load references/hooks-add.md and use assets/hooks/ — map the correct host event and avoid silent no-ops.
  • When installing, load references/install-gates.md, then references/install-destinations.md; remote sources use references/fetch-remote.md, local creation uses references/create-local-skill.md, and vendor links use references/skill-sync.md — secure approval, destination, and provenance before writes.
  • When evidence needs code/package/repository research, load references/octocode.md — delegate research mechanics instead of duplicating them.
  • When tracing source provenance, load references/references.md; when authoring a source appendix, start from references/references-template.md — keep claims auditable without bloating instructions.

Related routes

  • Use octocode-research to verify candidates; octocode-prompt-optimizer to improve wording; octocode-graph-eval to measure behavior.
  • Use octocode-rfc-generator before a large skill-system redesign.

Scripts and done gate

  • Run scripts/skill-review.mjs after any create/edit — zero ERROR is required.
  • Run scripts/skill-sync.mjs only after a dry-run and human approval — synchronize one source safely.
  • scripts/skill-lint.mjs is an alias for scripts/skill-review.mjs — same gate under the older name.
  • A skill script needing Octocode home or env imports ./octocode-config.mjs, a build artifact injected by packages/octocode-config into every skill that imports it relatively — never import @octocodeai/config from a skill, or the folder breaks once installed alone.
  • When wiring a hook, copy assets/hooks/example-hook.sh into scripts/hooks/ and route it from frontmatter.

Installation

When creating or installing, follow the routed approval and destination gates, then run the review before reporting done.

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 Octocode Skills AI skill do?

Use when working on Agent Skills (SKILL.md folders): find, compare, rate, review, create, improve, repair, install, or sync skills from local workspaces, registries, or remote sources. For wording-only prompt polish without folder ops, use octocode-prompt-optimizer.

Why use Octocode Skills on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bgauryy/octocode/tree/main/skills/octocode-skills. 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 Octocode Skills?

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 Octocode Skills?

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

Is the Octocode Skills AI skill free?

Yes. It is published on GitHub by bgauryy 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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