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Methodology Curator

Community
athola
methodology-curator

Surface expert frameworks. Use when creating or evaluating skills, hooks, or agents.

Overview

Publisherathola
Repositoryclaude-night-market
Skill namemethodology-curator
Stars
343
Forks
37
Bundled files
6
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.

  • 6 bundled files

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

  • Open source

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

Installation

Install the Methodology Curator 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/athola/claude-night-market/tree/master/plugins/abstract/skills/methodology-curator
  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/athola/claude-night-market.git /tmp/claude-night-market
mkdir -p .claude/skills
cp -r /tmp/claude-night-market/plugins/abstract/skills/methodology-curator .claude/skills/methodology-curator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Methodology Curator 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 Methodology Curator 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 Methodology Curator 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.

Methodology Curator

Overview

Identifying the best way to approach a domain is often more difficult than the technical scaffolding itself. This skill surfaces frameworks from domain masters to prevent reinventing established processes and identify methodology gaps in existing work. It should be used as a brief initial check before brainstorming or evaluation begins.

Workflow Integration

When starting new work, score every domain below by how many of its terms the task uses and load the top two modules, not the first that fits. Mapping free text onto a category runs about three candidates per correct one (TRIZ-GPT, arXiv 2408.05897, measured on contradiction parameters), so a single pick is wrong often enough that the second module is worth its tokens. Say which two were loaded and why the others were not. Select principles that fit your context and document them in a methodology brief before proceeding to creation.

For existing work, determine what the skill or hook is trying to teach and compare it against established frameworks. This gap analysis identifies opportunities to add missing principles or align terminology with recognized standards. Surgically add methodology rather than rewriting from scratch to maintain authority and effectiveness.

Domain Modules

Each module in the modules/ directory provides a curated list of masters, key works, and actionable frameworks. These resources include selection guides and anti-patterns to avoid for each domain.

  • Instruction Design: modules/instruction-design.md - Teaching techniques and behavioral objectives.
  • Code Review: modules/code-review.md - Review methodologies and feedback patterns.
  • Debugging: modules/debugging.md - Systematic troubleshooting frameworks.
  • Testing: modules/testing.md - TDD masters and test design patterns.
  • Knowledge Management: modules/knowledge-management.md - Note-taking and knowledge systems.
  • Decision Making: modules/decision-making.md - Mental models and decision frameworks.

When to Skip

Skip for Creation when:

  • You're implementing a well-defined spec
  • The domain is highly specific to your codebase
  • You've already researched methodologies externally
  • Creating a simple utility with no pedagogical component

Skip for Evaluation when:

  • Fixing syntax/structural issues (use /validate-plugin instead)
  • The work is purely mechanical (no methodology to ground)
  • Already performed a recent methodology audit
  • Quick bug fixes that don't change the approach

When NOT To Use

  • Scoring a finished skill (use abstract:skills-eval)
  • The mechanics of writing one (use abstract:skill-authoring)

Domain Modules

Each module contains:

  • Masters: Recognized experts in the domain
  • Key Works: Essential books/papers/talks
  • Frameworks: Actionable methodologies
  • Selection Guide: When to use each approach
  • Anti-patterns: What to avoid

Adding New Domains

To expand the masters database, create a new module following this template:

markdown
# [Domain Name] Masters

## Masters Overview
| Expert | Key Contribution | Best For |
|--------|-----------------|----------|
| Name   | Framework/Book  | Context  |

## Detailed Frameworks

### [Framework 1]
**Source**: [Expert] - [Work]
**Core Idea**: [One sentence]
**Key Principles**:
- Principle 1
- Principle 2
**Use When**: [Context]
**Avoid When**: [Anti-context]

## Selection Matrix
[Decision guide for choosing between frameworks]

Integration with Skill Authoring

After curating methodologies, the skill authoring workflow benefits from:

  1. Grounded TDD scenarios: Test against the methodology's expected behaviors
  2. Principled anti-rationalization: Counter excuses using the methodology's logic
  3. Authoritative references: Cite masters in skill documentation
  4. Consistent terminology: Use the methodology's vocabulary

Related

For Creation

  • /create-skill - Skill creation workflow (use after this)
  • /create-hook - Hook creation workflow
  • superpowers:brainstorming - Refine approach after methodology selection
  • skill-authoring - Detailed skill writing guidance

For Evaluation

  • /skills-eval - Evaluate skill quality (complements methodology audit)
  • /analyze-skill - Analyze skill complexity
  • pensive:code-reviewer - Code review (uses code-review domain)

Exit Criteria

  • The domain is identified by name (e.g., "Instruction Design", "Debugging") and at least one module from modules/ is loaded and consulted.
  • A methodology brief is produced naming at least one expert, their key framework, and a "Use When / Avoid When" statement applicable to the current work.
  • If the task falls under a "Skip" condition (well-defined spec, purely mechanical fix), the skip is stated explicitly rather than silently omitted.
  • Any framework selected references one of the documented modules (instruction-design.md, code-review.md, debugging.md, testing.md, knowledge-management.md, or decision-making.md) rather than an invented source.

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 Methodology Curator AI skill do?

Surface expert frameworks. Use when creating or evaluating skills, hooks, or agents.

Why use Methodology Curator on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/athola/claude-night-market/tree/master/plugins/abstract/skills/methodology-curator. 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 Methodology Curator?

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 Methodology Curator?

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

Is the Methodology Curator AI skill free?

Yes. It is published on GitHub by athola 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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