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Generic Research Codebase

Organization
modiqo
generic-research-codebase

Read a repository, map what exists, and produce neutral architecture documentation without changing code.

Overview

Publishermodiqo
Repositoryskillspec
Skill namegeneric-research-codebase
Stars
705
Forks
43
Bundled files
1
LicenseApache-2.0
Links
Skill sourceRepositoryHomepage
  • 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 modiqo on GitHub. Read the source before you install it.

Installation

Install the Generic Research Codebase 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/modiqo/skillspec/tree/main/.claude/skills/research-codebase
  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/modiqo/skillspec.git /tmp/skillspec
mkdir -p .claude/skills
cp -r /tmp/skillspec/.claude/skills/research-codebase .claude/skills/generic-research-codebase
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Generic Research Codebase 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 Generic Research Codebase 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 Generic Research Codebase 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.

Research Codebase

Read a repository, map what exists, and produce neutral architecture documentation without changing code.

This skill is a thin loader for the colocated skill.spec.yml. The spec is the source of truth for routes, rules, dependencies, imports, resources, recipes, tests, and trace requirements.

Runtime Contract

  1. Load ./skill.spec.yml from this skill folder before taking task actions.

  2. When the skillspec CLI is available, run:

    bash
    skillspec decide ./skill.spec.yml --input='<user task>' --trace-dir "${PWD}/.skillspec/traces"

  3. Strip skill invocation prefixes such as /my-skill, $my-skill, or /rote-shell-spec before passing --input.

  4. Preserve the emitted trace run_dir.

  5. When the CLI is available after a trace exists, run skillspec trace align ./skill.spec.yml --decision-trace <run_dir> and report the alignment status with the trace path.

  6. Follow the selected route, matched rules, forbids, elicitations, dependencies, imports, recipes, and closures from skill.spec.yml.

  7. If the CLI is unavailable, read skill.spec.yml directly and apply its rules manually. Do not expand this loader into a second source of truth.

Quick Commands

bash
skillspec validate ./skill.spec.yml
skillspec imports check ./skill.spec.yml
skillspec test ./skill.spec.yml
skillspec deps check ./skill.spec.yml
skillspec explain ./skill.spec.yml --input='<user task>' --trace-dir "${PWD}/.skillspec/traces"
skillspec trace align ./skill.spec.yml --decision-trace "${PWD}/.skillspec/traces/<run-id>"

Completion Report

When reporting completion, include the selected route, the SkillSpec trace run_dir, the skillspec trace align status (pass, fail, or unproven), key failed or unproven alignment checks, and the concrete execution evidence ids or files.

Route Hints

  • focused_symbol_research: Focused symbol or feature research
  • cross_component_research: Cross-component research
  • architecture_map: Architecture map

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 Generic Research Codebase AI skill do?

Read a repository, map what exists, and produce neutral architecture documentation without changing code.

Why use Generic Research Codebase on TypingMind?

Because you install it once and use it with any model. Generic Research Codebase 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 Generic Research Codebase in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/modiqo/skillspec/tree/main/.claude/skills/research-codebase. 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 Generic Research Codebase?

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 Generic Research Codebase?

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

Is the Generic Research Codebase AI skill free?

Yes. It is published on GitHub by modiqo under the Apache-2.0 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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